1
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Wang Z, Xiao X, Wu W, Zhang X, Pang Y. Ultra-conformal epidermal antenna for multifunctional motion artifact-free sensing and point-of-care monitoring. Biosens Bioelectron 2024; 253:116150. [PMID: 38422815 DOI: 10.1016/j.bios.2024.116150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 02/18/2024] [Accepted: 02/20/2024] [Indexed: 03/02/2024]
Abstract
Accurate acquisition of physiological and physical information from human tissue is essential for health monitoring, disease prevention and treatment. The existing antennas with traditional rigid or flexible substrates are susceptible to motion artifacts in wearable applications due to the miniaturization limitation and lack of proper adhesion and conformal interfaces with the skin. Recent advances in wearable radio frequency (RF) bioelectronics directly drawn on the skin are a promising solution for future skin-interfaced devices. Herein, we present a first-of-its kind epidermal antenna architecture with skin as the antenna substrate, which is ultra-low profile, ultra-conformal, ultra-compact, and simple fabrication without specialized equipment. The radiation unit and ground of antenna are drawn directly on the skin with the strong adhesion and ultra conformality. Therefore, this RF device is highly adaptable to motion. As a proof-of- feasibility, epidermal antenna can be freely drawn on demand at different locations on the skin for the development of temperature sensor, skin hydration sensor, strain sensor, glucose sensor and other devices. An epidermal antenna-based temperature sensor can offer accurate and real-time monitoring of human body temperature changes in the ultra-wideband (UWB) range. The results during the monitoring of hydration level with and without stretching show that the epidermal antenna drawn on the skin is motion artifact-free. We also designed an epidermal antenna array employing a horseshoe-shaped configuration for the precise identification of various gestures. In addition, the non-invasive blood glucose level (BGL) monitoring results during the in-vivo experiments report high correlation between the epidermal antenna responses and BGLs, without any time hysteresis. After the prediction of BGL by BP network, all the predicted BGL values are fallen 100% into the clinically acceptable zones. Together, these results show that epidermal antenna offers a promising new approach for biosensing platform.
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Affiliation(s)
- Zengxiang Wang
- School of Microelectronics, Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin University, Tianjin, 300072, China
| | - Xia Xiao
- School of Microelectronics, Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin University, Tianjin, 300072, China.
| | - Wenqi Wu
- School of Microelectronics, Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin University, Tianjin, 300072, China
| | - Xiaofeng Zhang
- School of Microelectronics, Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin University, Tianjin, 300072, China
| | - Yanwei Pang
- School of Electrical and Information Engineering, Tianjin Key Laboratory of Brain-Inspired Intelligence Technology, Tianjin University, Tianjin, 300072, China
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2
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Chahari M, Salman E, Stanacevic M, Willing R, Towfighian S. Hybrid triboelectric-piezoelectric nanogenerator for long-term load monitoring in total knee replacements. SMART MATERIALS & STRUCTURES 2024; 33:055034. [PMID: 38645721 PMCID: PMC11025032 DOI: 10.1088/1361-665x/ad3bfd] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/29/2024] [Accepted: 04/08/2024] [Indexed: 04/23/2024]
Abstract
A self-powered and durable pressure sensor for large-scale pressure detection on the knee implant would be highly advantageous for designing long-lasting and reliable knee implants as well as obtaining information about knee function after the operation. The purpose of this study is to develop a robust energy harvester that can convert wide ranges of pressure to electricity to power a load sensor inside the knee implant. To efficiently convert loads to electricity, we design a cuboid-array-structured tribo-pizoelectric nanogenerator (TPENG) in vertical contact mode inside a knee implant package. The proposed TPENG is fabricated with aluminum and cuboid-patterned silicone rubber layers. Using the cuboid-patterned silicone rubber as a dielectric and aluminum as electrodes improves performance compared with previously reported self-powered sensors. The combination of 10w t % dopamine-modified BaTiO3 piezoelectric nanoparticles in the silicone rubber enhanced electrical stability and mechanical durability of the silicone rubber. To examine the output, the package-harvester assemblies are loaded into an MTS machine under different periodic loading. Under different cyclic loading, frequencies, and resistance loads, the harvester's output performance is also theoretically studied and experimentally verified. The proposed cuboid-array-structured TPENG integrated into the knee implant package can generate approximately 15μ W of apparent power under dynamic compressive loading of 2200 N magnitude. In addition, as a result of the TPENG's materials being effectively optimized, it possesses remarkable mechanical durability and signal stability, functioning after more than 30 000 cycles under 2200 N load and producing about 300 V peak to peak. We have also presented a mathematical model and numerical results that closely capture experimental results. We have reported how the TPENG charge density varies with force. This study represents a significant advancement in a better understanding of harvesting mechanical energy for instrumented knee implants to detect a load imbalance or abnormal gait patterns.
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Affiliation(s)
- Mahmood Chahari
- State University of New York at Binghamton, Binghamton, NY, United States of America
| | - Emre Salman
- Stony Brook University, Stony Brook, NY, United States of America
| | | | - Ryan Willing
- University of Western Ontario, London, Ontario, Canada
| | - Shahrzad Towfighian
- State University of New York at Binghamton, Binghamton, NY, United States of America
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3
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Wang Z, Li N, Yang X, Zhang Z, Zhang H, Cui X. Thermogalvanic hydrogel-based e-skin for self-powered on-body dual-modal temperature and strain sensing. MICROSYSTEMS & NANOENGINEERING 2024; 10:55. [PMID: 38680522 PMCID: PMC11055913 DOI: 10.1038/s41378-024-00693-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 03/07/2024] [Accepted: 03/11/2024] [Indexed: 05/01/2024]
Abstract
Sensing of both temperature and strain is crucial for various diagnostic and therapeutic purposes. Here, we present a novel hydrogel-based electronic skin (e-skin) capable of dual-mode sensing of temperature and strain. The thermocouple ion selected for this study is the iodine/triiodide (I-/I3-) redox couple, which is a common component in everyday disinfectants. By leveraging the thermoelectric conversion in conjunction with the inherent piezoresistive effect of a gel electrolyte, self-powered sensing is achieved by utilizing the temperature difference between the human body and the external environment. The composite hydrogels synthesized from polyvinyl alcohol (PVA) monomers using a simple freeze‒thaw method exhibit remarkable flexibility, extensibility, and adaptability to human tissue. The incorporation of zwitterions further augments the resistance of the hydrogel to dehydration and low temperatures, allowing maintenance of more than 90% of its weight after 48 h in the air. Given its robust thermal current response, the hydrogel was encapsulated and then integrated onto various areas of the human body, including the cheeks, fingers, and elbows. Furthermore, the detection of the head-down state and the monitoring of foot movements demonstrate the promising application of the hydrogel in supervising the neck posture of sedentary office workers and the activity status. The successful demonstration of self-powered on-body temperature and strain sensing opens up new possibilities for wearable intelligent electronics and robotics.
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Affiliation(s)
- Zhaosu Wang
- College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, 030024 China
| | - Ning Li
- College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, 030024 China
| | - Xinru Yang
- College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, 030024 China
| | - Zhiyi Zhang
- College of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan, 030024 China
| | - Hulin Zhang
- College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, 030024 China
| | - Xiaojing Cui
- School of Physics and Information Engineering, Shanxi Normal University, Taiyuan, 030031 China
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4
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Amitrano F, Coccia A, Pagano G, Biancardi A, Tombolini G, Marsico V, D’Addio G. Measuring Surface Electromyography with Textile Electrodes in a Smart Leg Sleeve. SENSORS (BASEL, SWITZERLAND) 2024; 24:2763. [PMID: 38732868 PMCID: PMC11086330 DOI: 10.3390/s24092763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 04/23/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024]
Abstract
This paper presents the design, development, and validation of a novel e-textile leg sleeve for non-invasive Surface Electromyography (sEMG) monitoring. This wearable device incorporates e-textile sensors for sEMG signal acquisition from the lower limb muscles, specifically the anterior tibialis and lateral gastrocnemius. Validation was conducted by performing a comparative study with eleven healthy volunteers to evaluate the performance of the e-textile sleeve in acquiring sEMG signals compared to traditional Ag/AgCl electrodes. The results demonstrated strong agreement between the e-textile and conventional methods in measuring descriptive metrics of the signals, including area, power, mean, and root mean square. The paired data t-test did not reveal any statistically significant differences, and the Bland-Altman analysis indicated negligible bias between the measures recorded using the two methods. In addition, this study evaluated the wearability and comfort of the e-textile sleeve using the Comfort Rating Scale (CRS). Overall, the scores confirmed that the proposed device is highly wearable and comfortable, highlighting its suitability for everyday use in patient care.
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Affiliation(s)
- Federica Amitrano
- Bioengineering Unit, Telese Terme Institute, Istituti Clinici Scientifici Maugeri IRCCS, 82037 Telese Terme, Italy; (F.A.); (G.D.)
| | - Armando Coccia
- Bioengineering Unit, Telese Terme Institute, Istituti Clinici Scientifici Maugeri IRCCS, 82037 Telese Terme, Italy; (F.A.); (G.D.)
| | - Gaetano Pagano
- Bioengineering Unit, Bari Institute, Istituti Clinici Scientifici Maugeri IRCCS, 70124 Bari, Italy;
| | - Arcangelo Biancardi
- Bioengineering Unit, Telese Terme Institute, Istituti Clinici Scientifici Maugeri IRCCS, 82037 Telese Terme, Italy; (F.A.); (G.D.)
| | | | - Vito Marsico
- Orthopaedics Unit, Bari Institute, Istituti Clinici Scientifici Maugeri IRCCS, 70124 Bari, Italy;
| | - Giovanni D’Addio
- Bioengineering Unit, Telese Terme Institute, Istituti Clinici Scientifici Maugeri IRCCS, 82037 Telese Terme, Italy; (F.A.); (G.D.)
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Zhu Z, Estevez D, Feng T, Chen Y, Li Y, Wei H, Wang Y, Wang Y, Zhao L, Jawed SA, Qin F. A Novel Induction-Type Pressure Sensor based on Magneto-Stress Impedance and Magnetoelastic Coupling Effect for Monitoring Hand Rehabilitation. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024:e2400797. [PMID: 38618921 DOI: 10.1002/smll.202400797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/13/2024] [Indexed: 04/16/2024]
Abstract
Visualization of training effectiveness is critical to patients' confidence and eventual rehabilitation. Here, an innovative magnetoinductive pressure sensor is proposed for monitoring hand rehabilitation in stroke hemiplegic patients. It couples the giant magneto and stress-impedance effects of a square spiral amorphous wire with the giant magnetoelastic effect of a polymer magnet (NdFeB@PDMS). The addition of the magnetoelastic layer results in a sensitivity improvement of 178%, a wide sensing range (up to 1 MPa), fast response/recovery times (40 ms), and excellent mechanical robustness (over 15 000 cycles). Further integration with an LC oscillation circuit enables frequency adjustment into the MHz range resulting in a sensitivity of 6.6% kPa-1 and outstanding linearity (R2 = 0.99717) over a stress range of up to 100 kPa. When attached to a commercial split-fingerboard, the sensor is capable of dynamically monitoring the force in each finger, providing a reading of the rehabilitation process. Unlike conventional inductive sensors, the sensor is based on an inductive force-responsive material (amorphous wire), which significantly boosts the sensitivity. The approach also demonstrates the potential of magnetoelasticity in static pressure sensing, which is highly sensitive to dynamic pressure only through electromagnetic induction. This makes it more suitable for long-term and continuous human health monitoring.
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Affiliation(s)
- Zihao Zhu
- Institute for Composites Science Innovation (InCSI), School of Materials Science and Engineering, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310028, China
| | - Diana Estevez
- Ningbo Innovation Center, Zhejiang University, 1 South Qianhu Road, Ningbo, 315100, China
| | - Tangfeng Feng
- Institute for Composites Science Innovation (InCSI), School of Materials Science and Engineering, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310028, China
| | - Yanlin Chen
- Institute for Composites Science Innovation (InCSI), School of Materials Science and Engineering, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310028, China
| | - Yunlong Li
- Institute for Composites Science Innovation (InCSI), School of Materials Science and Engineering, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310028, China
| | - Huijie Wei
- Institute for Composites Science Innovation (InCSI), School of Materials Science and Engineering, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310028, China
| | - Yuchen Wang
- Institute for Composites Science Innovation (InCSI), School of Materials Science and Engineering, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310028, China
| | - Yunfei Wang
- Institute for Composites Science Innovation (InCSI), School of Materials Science and Engineering, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310028, China
| | - Lizhong Zhao
- Institute of Advanced Magnetic Materials College of Materials and Environmental Engineering, Hangzhou Dianzi University, 115 Wenyi Road, Hangzhou, 310012, China
| | - Syed Arsalan Jawed
- Dhanani School of Science and Engineering, Habib University, Block 18, Gulistan-e-Jauhar, Karachi, 75300, Pakistan
| | - Faxiang Qin
- Institute for Composites Science Innovation (InCSI), School of Materials Science and Engineering, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310028, China
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6
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Kwon H, Yang Y, Kim G, Gim D, Ha M. Anisotropy in magnetic materials for sensors and actuators in soft robotic systems. NANOSCALE 2024; 16:6778-6819. [PMID: 38502047 DOI: 10.1039/d3nr05737b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
The field of soft intelligent robots has rapidly developed, revealing extensive potential of these robots for real-world applications. By mimicking the dexterities of organisms, robots can handle delicate objects, access remote areas, and provide valuable feedback on their interactions with different environments. For autonomous manipulation of soft robots, which exhibit nonlinear behaviors and infinite degrees of freedom in transformation, innovative control systems integrating flexible and highly compliant sensors should be developed. Accordingly, sensor-actuator feedback systems are a key strategy for precisely controlling robotic motions. The introduction of material magnetism into soft robotics offers significant advantages in the remote manipulation of robotic operations, including touch or touchless detection of dynamically changing shapes and positions resulting from the actuations of robots. Notably, the anisotropies in the magnetic nanomaterials facilitate the perception and response with highly selective, directional, and efficient ways used for both sensors and actuators. Accordingly, this review provides a comprehensive understanding of the origins of magnetic anisotropy from both intrinsic and extrinsic factors and summarizes diverse magnetic materials with enhanced anisotropy. Recent developments in the design of flexible sensors and soft actuators based on the principle of magnetic anisotropy are outlined, specifically focusing on their applicabilities in soft robotic systems. Finally, this review addresses current challenges in the integration of sensors and actuators into soft robots and offers promising solutions that will enable the advancement of intelligent soft robots capable of efficiently executing complex tasks relevant to our daily lives.
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Affiliation(s)
- Hyeokju Kwon
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
| | - Yeonhee Yang
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
| | - Geonsu Kim
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
| | - Dongyeong Gim
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
| | - Minjeong Ha
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
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7
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Wang X, Xiao X, Feng Z, Wu Y, Yang J, Chen J. A Soft Bioelectronic Patch for Simultaneous Respiratory and Cardiovascular Monitoring. Adv Healthc Mater 2024; 13:e2303479. [PMID: 38010831 DOI: 10.1002/adhm.202303479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/20/2023] [Indexed: 11/29/2023]
Abstract
Sleep is critical to maintaining physical and mental health. Measuring physiological parameters to quantify sleep quality without uncomfortable user experience remains highly desired but a challenge. Here, this work develops a soft bioelectronic patch to perform simultaneous respiration and cardiovascular monitoring during sleep in a wearable and non-invasive manner. The soft bioelectronic patch system is mainly composed of a pressure sensor, a flexible printed circuit for signal processing, and a soft thermoplastic urethane mold for assembling different functional modules. The soft bioelectronic patch holds a sensitivity of >0.12 V kPa-1 and a remarkable low-frequency response from 0.5 to 15 Hz. It is demonstrated to continuously monitor respiration and heartbeat during the whole night, which could be harnessed for sleep monitoring and obstructive sleep apnea-hypopnea syndrome diagnosis. The reported soft bioelectronic patch represents a simple and convenient platform technology for sleep study.
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Affiliation(s)
- Xue Wang
- College of Physics and Electronic Engineering, Chongqing Normal University, Chongqing, 401331, China
- Department of Bioengineering, University of California, Los Angeles, CA 90095, USA
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, CA 90095, USA
| | - Zhiping Feng
- Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing, 400044, P. R. China
| | - Yufen Wu
- College of Physics and Electronic Engineering, Chongqing Normal University, Chongqing, 401331, China
| | - Jin Yang
- Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing, 400044, P. R. China
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, CA 90095, USA
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8
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Ding Y, Jiang J, Wu Y, Zhang Y, Zhou J, Zhang Y, Huang Q, Zheng Z. Porous Conductive Textiles for Wearable Electronics. Chem Rev 2024; 124:1535-1648. [PMID: 38373392 DOI: 10.1021/acs.chemrev.3c00507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
Over the years, researchers have made significant strides in the development of novel flexible/stretchable and conductive materials, enabling the creation of cutting-edge electronic devices for wearable applications. Among these, porous conductive textiles (PCTs) have emerged as an ideal material platform for wearable electronics, owing to their light weight, flexibility, permeability, and wearing comfort. This Review aims to present a comprehensive overview of the progress and state of the art of utilizing PCTs for the design and fabrication of a wide variety of wearable electronic devices and their integrated wearable systems. To begin with, we elucidate how PCTs revolutionize the form factors of wearable electronics. We then discuss the preparation strategies of PCTs, in terms of the raw materials, fabrication processes, and key properties. Afterward, we provide detailed illustrations of how PCTs are used as basic building blocks to design and fabricate a wide variety of intrinsically flexible or stretchable devices, including sensors, actuators, therapeutic devices, energy-harvesting and storage devices, and displays. We further describe the techniques and strategies for wearable electronic systems either by hybridizing conventional off-the-shelf rigid electronic components with PCTs or by integrating multiple fibrous devices made of PCTs. Subsequently, we highlight some important wearable application scenarios in healthcare, sports and training, converging technologies, and professional specialists. At the end of the Review, we discuss the challenges and perspectives on future research directions and give overall conclusions. As the demand for more personalized and interconnected devices continues to grow, PCT-based wearables hold immense potential to redefine the landscape of wearable technology and reshape the way we live, work, and play.
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Affiliation(s)
- Yichun Ding
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR 999077, P. R. China
- Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian 350108, P. R. China
- Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou, Fujian 350108, P. R. China
| | - Jinxing Jiang
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR 999077, P. R. China
| | - Yingsi Wu
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR 999077, P. R. China
| | - Yaokang Zhang
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR 999077, P. R. China
| | - Junhua Zhou
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR 999077, P. R. China
| | - Yufei Zhang
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR 999077, P. R. China
| | - Qiyao Huang
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR 999077, P. R. China
- Research Institute for Intelligent Wearable Systems, The Hong Kong Polytechnic University, Hong Kong SAR 999077, P. R. China
| | - Zijian Zheng
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR 999077, P. R. China
- Department of Applied Biology and Chemical Technology, Faculty of Science, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR 999077, P. R. China
- Research Institute for Intelligent Wearable Systems, The Hong Kong Polytechnic University, Hong Kong SAR 999077, P. R. China
- Research Institute for Smart Energy, The Hong Kong Polytechnic University, Hong Kong SAR 999077, P. R. China
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9
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Tian H, Ma J, Li Y, Xiao X, Zhang M, Wang H, Zhu N, Hou C, Ulstrup J. Electrochemical sensing fibers for wearable health monitoring devices. Biosens Bioelectron 2024; 246:115890. [PMID: 38048721 DOI: 10.1016/j.bios.2023.115890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 11/17/2023] [Accepted: 11/25/2023] [Indexed: 12/06/2023]
Abstract
Real-time monitoring of health conditions is an emerging strong issue in health care, internet information, and other strongly evolving areas. Wearable electronics are versatile platforms for non-invasive sensing. Among a variety of wearable device principles, fiber electronics represent cutting-edge development of flexible electronics. Enabled by electrochemical sensing, fiber electronics have found a wide range of applications, providing new opportunities for real-time monitoring of health conditions by daily wearing, and electrochemical fiber sensors as explored in the present report are a promising emerging field. In consideration of the key challenges and corresponding solutions for electrochemical sensing fibers, we offer here a timely and comprehensive review. We discuss the principles and advantages of electrochemical sensing fibers and fabrics. Our review also highlights the importance of electrochemical sensing fibers in the fabrication of "smart" fabric designs, focusing on strategies to address key issues in fiber-based electrochemical sensors, and we provide an overview of smart clothing systems and their cutting-edge applications in therapeutic care. Our report offers a comprehensive overview of current developments in electrochemical sensing fibers to researchers in the fields of wearables, flexible electronics, and electrochemical sensing, stimulating forthcoming development of next-generation "smart" fabrics-based electrochemical sensing.
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Affiliation(s)
- Hang Tian
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, PR China
| | - Junlin Ma
- School of Chemistry, Dalian University of Technology, Dalian, Liaoning, 116024, PR China
| | - Yaogang Li
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, PR China.
| | - Xinxin Xiao
- Department of Chemistry and Bioscience, Aalborg University, 9220, Aalborg, Denmark.
| | - Minwei Zhang
- Xinjiang Key Laboratory of Biological Resources and Gentic Engineering, College of Life Science & Technology, Xinjiang University, Urumqi, 830046, PR China
| | - Hongzhi Wang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, PR China
| | - Nan Zhu
- School of Chemistry, Dalian University of Technology, Dalian, Liaoning, 116024, PR China.
| | - Chengyi Hou
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, PR China.
| | - Jens Ulstrup
- Department of Chemistry, Technical University of Denmark, Kongens Lyngby, 2800, Denmark.
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10
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Ali I, Islam MR, Yin J, Eichhorn SJ, Chen J, Karim N, Afroj S. Advances in Smart Photovoltaic Textiles. ACS NANO 2024; 18:3871-3915. [PMID: 38261716 PMCID: PMC10851667 DOI: 10.1021/acsnano.3c10033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 01/04/2024] [Accepted: 01/09/2024] [Indexed: 01/25/2024]
Abstract
Energy harvesting textiles have emerged as a promising solution to sustainably power wearable electronics. Textile-based solar cells (SCs) interconnected with on-body electronics have emerged to meet such needs. These technologies are lightweight, flexible, and easy to transport while leveraging the abundant natural sunlight in an eco-friendly way. In this Review, we comprehensively explore the working mechanisms, diverse types, and advanced fabrication strategies of photovoltaic textiles. Furthermore, we provide a detailed analysis of the recent progress made in various types of photovoltaic textiles, emphasizing their electrochemical performance. The focal point of this review centers on smart photovoltaic textiles for wearable electronic applications. Finally, we offer insights and perspectives on potential solutions to overcome the existing limitations of textile-based photovoltaics to promote their industrial commercialization.
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Affiliation(s)
- Iftikhar Ali
- Centre
for Print Research (CFPR), The University
of the West of England, Frenchay Campus, Bristol BS16 1QY, U.K.
| | - Md Rashedul Islam
- Centre
for Print Research (CFPR), The University
of the West of England, Frenchay Campus, Bristol BS16 1QY, U.K.
| | - Junyi Yin
- Department
of Bioengineering, University of California,
Los Angeles, Los Angeles, California 90095, United States
| | - Stephen J. Eichhorn
- Bristol
Composites Institute, School of Civil, Aerospace, and Design Engineering, The University of Bristol, University Walk, Bristol BS8 1TR, U.K.
| | - Jun Chen
- Department
of Bioengineering, University of California,
Los Angeles, Los Angeles, California 90095, United States
| | - Nazmul Karim
- Centre
for Print Research (CFPR), The University
of the West of England, Frenchay Campus, Bristol BS16 1QY, U.K.
- Nottingham
School of Art and Design, Nottingham Trent
University, Shakespeare Street, Nottingham NG1 4GG, U.K.
| | - Shaila Afroj
- Centre
for Print Research (CFPR), The University
of the West of England, Frenchay Campus, Bristol BS16 1QY, U.K.
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11
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Islam MR, Afroj S, Yin J, Novoselov KS, Chen J, Karim N. Advances in Printed Electronic Textiles. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2304140. [PMID: 38009793 PMCID: PMC10853734 DOI: 10.1002/advs.202304140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 09/11/2023] [Indexed: 11/29/2023]
Abstract
Electronic textiles (e-textiles) have emerged as a revolutionary solution for personalized healthcare, enabling the continuous collection and communication of diverse physiological parameters when seamlessly integrated with the human body. Among various methods employed to create wearable e-textiles, printing offers unparalleled flexibility and comfort, seamlessly integrating wearables into garments. This has spurred growing research interest in printed e-textiles, due to their vast design versatility, material options, fabrication techniques, and wide-ranging applications. Here, a comprehensive overview of the crucial considerations in fabricating printed e-textiles is provided, encompassing the selection of conductive materials and substrates, as well as the essential pre- and post-treatments involved. Furthermore, the diverse printing techniques and the specific requirements are discussed, highlighting the advantages and limitations of each method. Additionally, the multitude of wearable applications made possible by printed e-textiles is explored, such as their integration as various sensors, supercapacitors, and heated garments. Finally, a forward-looking perspective is provided, discussing future prospects and emerging trends in the realm of printed wearable e-textiles. As advancements in materials science, printing technologies, and design innovation continue to unfold, the transformative potential of printed e-textiles in healthcare and beyond is poised to revolutionize the way wearable technology interacts and benefits.
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Affiliation(s)
- Md Rashedul Islam
- Centre for Print Research (CFPR)University of the West of EnglandFrenchay CampusBristolBS16 1QYUK
| | - Shaila Afroj
- Centre for Print Research (CFPR)University of the West of EnglandFrenchay CampusBristolBS16 1QYUK
| | - Junyi Yin
- Department of BioengineeringUniversity of CaliforniaLos AngelesCA90095USA
| | - Kostya S. Novoselov
- Institute for Functional Intelligent MaterialsDepartment of Materials Science and EngineeringNational University of SingaporeSingapore117575Singapore
| | - Jun Chen
- Department of BioengineeringUniversity of CaliforniaLos AngelesCA90095USA
| | - Nazmul Karim
- Centre for Print Research (CFPR)University of the West of EnglandFrenchay CampusBristolBS16 1QYUK
- Nottingham School of Art and DesignNottingham Trent UniversityShakespeare StreetNottinghamNG1 4GGUK
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12
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Zhou Y, Wang S, Yin J, Wang J, Manshaii F, Xiao X, Zhang T, Bao H, Jiang S, Chen J. Flexible Metasurfaces for Multifunctional Interfaces. ACS NANO 2024; 18:2685-2707. [PMID: 38241491 DOI: 10.1021/acsnano.3c09310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2024]
Abstract
Optical metasurfaces, capable of manipulating the properties of light with a thickness at the subwavelength scale, have been the subject of extensive investigation in recent decades. This research has been mainly driven by their potential to overcome the limitations of traditional, bulky optical devices. However, most existing optical metasurfaces are confined to planar and rigid designs, functions, and technologies, which greatly impede their evolution toward practical applications that often involve complex surfaces. The disconnect between two-dimensional (2D) planar structures and three-dimensional (3D) curved surfaces is becoming increasingly pronounced. In the past two decades, the emergence of flexible electronics has ushered in an emerging era for metasurfaces. This review delves into this cutting-edge field, with a focus on both flexible and conformal design and fabrication techniques. Initially, we reflect on the milestones and trajectories in modern research of optical metasurfaces, complemented by a brief overview of their theoretical underpinnings and primary classifications. We then showcase four advanced applications of optical metasurfaces, emphasizing their promising prospects and relevance in areas such as imaging, biosensing, cloaking, and multifunctionality. Subsequently, we explore three key trends in optical metasurfaces, including mechanically reconfigurable metasurfaces, digitally controlled metasurfaces, and conformal metasurfaces. Finally, we summarize our insights on the ongoing challenges and opportunities in this field.
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Affiliation(s)
- Yunlei Zhou
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Shaolei Wang
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Junyi Yin
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Jianjun Wang
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Farid Manshaii
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Tianqi Zhang
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Hong Bao
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Shan Jiang
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
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13
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Li J, Che Z, Wan X, Manshaii F, Xu J, Chen J. Biomaterials and bioelectronics for self-powered neurostimulation. Biomaterials 2024; 304:122421. [PMID: 38065037 DOI: 10.1016/j.biomaterials.2023.122421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 11/23/2023] [Accepted: 11/27/2023] [Indexed: 12/30/2023]
Abstract
Self-powered neurostimulation via biomaterials and bioelectronics innovation has emerged as a compelling approach to explore, repair, and modulate neural systems. This review examines the application of self-powered bioelectronics for electrical stimulation of both the central and peripheral nervous systems, as well as isolated neurons. Contemporary research has adeptly harnessed biomechanical and biochemical energy from the human body, through various mechanisms such as triboelectricity, piezoelectricity, magnetoelasticity, and biofuel cells, to power these advanced bioelectronics. Notably, these self-powered bioelectronics hold substantial potential for delivering neural stimulations that are customized for the treatment of neurological diseases, facilitation of neural regeneration, and the development of neuroprosthetics. Looking ahead, we expect that the ongoing advancements in biomaterials and bioelectronics will drive the field of self-powered neurostimulation toward the realization of more advanced, closed-loop therapeutic solutions, paving the way for personalized and adaptable neurostimulators in the coming decades.
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Affiliation(s)
- Jinlong Li
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Ziyuan Che
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Xiao Wan
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Farid Manshaii
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Jing Xu
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
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14
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Xing W, Wang Y, Mao X, Gao Z, Yan X, Yuan Y, Huang L, Tang J. Improvement strategies for oil/water separation based on electrospun SiO 2 nanofibers. J Colloid Interface Sci 2024; 653:1600-1619. [PMID: 37812837 DOI: 10.1016/j.jcis.2023.09.196] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 08/07/2023] [Accepted: 09/30/2023] [Indexed: 10/11/2023]
Abstract
Oil spills and oily effluents from industry and daily life pose a great threat to all organisms in the ecosystem, while aggravating the problem of water scarcity, which has developed into a global challenge. Therefore, the development of advanced materials and technologies for oil/water separation has become a focus of attention. One-dimensional (1D) SiO2 nanofibers (SNFs) have become one of the most widely used inorganic nanomaterials in the past due to their stable chemical properties, excellent biocompatibility, and high temperature resistance etc. Meanwhile, electrospinning technique, as an emerging technology for treating oil/water emulsions, electrospun SNFs on this basis also has a number of advantages such as adjustable wettability, diverse structure and good connectivity. This review provides a systematic overview of the research progress of electrospun SNFs in different aspects. In this review, we first introduce the basic principles of electrospun SNFs, then focus on the design structures of various SNFs, propose corresponding strategies for the property improvement of SNFs, also analyze and consider the applications of SNFs. Finally, the challenges faced by electrospun SNFs in the field of oil/water separation are analyzed, and the future directions of electrospun SNFs are summarized and prospected.
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Affiliation(s)
- Wei Xing
- Institute of Hybrid Materials, National Center of International Research for Hybrid Materials Technology, National Base of International Science & Technology Cooperation, College of Materials Science and Engineering, Qingdao University, Qingdao 266071, China
| | - Yanxin Wang
- Institute of Hybrid Materials, National Center of International Research for Hybrid Materials Technology, National Base of International Science & Technology Cooperation, College of Materials Science and Engineering, Qingdao University, Qingdao 266071, China.
| | - Xinhui Mao
- Institute of Hybrid Materials, National Center of International Research for Hybrid Materials Technology, National Base of International Science & Technology Cooperation, College of Materials Science and Engineering, Qingdao University, Qingdao 266071, China
| | - Zhiyuan Gao
- Institute of Hybrid Materials, National Center of International Research for Hybrid Materials Technology, National Base of International Science & Technology Cooperation, College of Materials Science and Engineering, Qingdao University, Qingdao 266071, China
| | - Xianhang Yan
- Institute of Hybrid Materials, National Center of International Research for Hybrid Materials Technology, National Base of International Science & Technology Cooperation, College of Materials Science and Engineering, Qingdao University, Qingdao 266071, China
| | - Yanru Yuan
- Institute of Hybrid Materials, National Center of International Research for Hybrid Materials Technology, National Base of International Science & Technology Cooperation, College of Materials Science and Engineering, Qingdao University, Qingdao 266071, China
| | - Linjun Huang
- Institute of Hybrid Materials, National Center of International Research for Hybrid Materials Technology, National Base of International Science & Technology Cooperation, College of Materials Science and Engineering, Qingdao University, Qingdao 266071, China.
| | - Jianguo Tang
- Institute of Hybrid Materials, National Center of International Research for Hybrid Materials Technology, National Base of International Science & Technology Cooperation, College of Materials Science and Engineering, Qingdao University, Qingdao 266071, China.
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15
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Song H, Jang Y, Lee JP, Choe JK, Yun M, Baek YK, Kim J. Highly Compressible 3D-Printed Soft Magnetoelastic Sensors for Human-Machine Interfaces. ACS APPLIED MATERIALS & INTERFACES 2023; 15:59776-59786. [PMID: 38086780 DOI: 10.1021/acsami.3c13638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
Incorporating perception into robots or objects holds great potential to revolutionize daily human life. To achieve this, critical factors include the design of an integrable three-dimensional (3D) soft sensor with self-powering capability, a wide working range, and tuneable functionalities. Here, we introduce a highly compressible 3D-printed soft magnetoelastic sensor with a wide strain sensing range. Inspired by the lattice metamaterial, which offers a highly porous structure with tuneable mechanical properties, we realized a remarkably compliant 3D self-powering sensor. Using magnetoelastic composite materials and 3D printing combined with sacrificial molding, a broad design space for constituent materials and structures is investigated, allowing for tuneable mechanical properties and sensor performances. These sensors are successfully integrated with two robotic systems as the robot operation and perception units, enabling robot control and recognition of diverse physical interactions with a user. Overall, we believe that this work represents a cornerstone for compliant 3D self-powered soft sensors, giving impetus to the development of advanced human-machine interfaces.
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Affiliation(s)
- Hyeonseo Song
- School of Materials Science and Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, South Korea
| | - Yeonwoo Jang
- School of Materials Science and Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, South Korea
| | - Jin Pyo Lee
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Jun Kyu Choe
- School of Materials Science and Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, South Korea
| | - Minbyeol Yun
- Powder Materials Division, Korea Institute of Material Science, Changwon 51508, South Korea
| | - Youn-Kyoung Baek
- Powder Materials Division, Korea Institute of Material Science, Changwon 51508, South Korea
| | - Jiyun Kim
- School of Materials Science and Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, South Korea
- Center for Multidimensional Programmable Matter, Ulsan National Institute of Science and Technology, Ulsan 44919, South Korea
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16
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Li Y, Li Y, Zhang R, Li S, Liu Z, Zhang J, Fu Y. Progress in wearable acoustical sensors for diagnostic applications. Biosens Bioelectron 2023; 237:115509. [PMID: 37423066 DOI: 10.1016/j.bios.2023.115509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 06/29/2023] [Accepted: 06/30/2023] [Indexed: 07/11/2023]
Abstract
With extensive and widespread uses of miniaturized and intelligent wearable devices, continuously monitoring subtle spatial and temporal changes in human physiological states becomes crucial for daily healthcare and professional medical diagnosis. Wearable acoustical sensors and related monitoring systems can be comfortably applied onto human body with a distinctive function of non-invasive detection. This paper reviews recent advances in wearable acoustical sensors for medical applications. Structural designs and characteristics of the structural components of wearable electronics, including piezoelectric and capacitive micromachined ultrasonic transducer (i.e., pMUT and cMUT), surface acoustic wave sensors (SAW) and triboelectric nanogenerators (TENGs) are discussed, along with their fabrication techniques and manufacturing processes. Diagnostic applications of these wearable sensors for detection of biomarkers or bioreceptors and diagnostic imaging have further been discussed. Finally, main challenges and future research directions in these fields are highlighted.
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Affiliation(s)
- Yuyang Li
- Key Laboratory of Microsystems and Microstructures Manufacturing, Ministry of Education, Harbin Institute of Technology, Harbin, 150080, China
| | - Yuan Li
- Key Laboratory of Microsystems and Microstructures Manufacturing, Ministry of Education, Harbin Institute of Technology, Harbin, 150080, China
| | - Rui Zhang
- Functional Materials and Acousto-optic Instruments Institute, School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin, 150080, China
| | - Songlin Li
- Key Laboratory of Microsystems and Microstructures Manufacturing, Ministry of Education, Harbin Institute of Technology, Harbin, 150080, China
| | - Zhao Liu
- Department of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
| | - Jia Zhang
- Key Laboratory of Microsystems and Microstructures Manufacturing, Ministry of Education, Harbin Institute of Technology, Harbin, 150080, China.
| | - Yongqing Fu
- Faculty of Engineering and Environment, Northumbria University, Newcastle Upon Tyne, NE1 8ST, United Kingdom.
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17
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Li W, Cao Y, Wang C, Sepúlveda N. Ferroelectret nanogenerators for the development of bioengineering systems. CELL REPORTS. PHYSICAL SCIENCE 2023; 4:101388. [PMID: 37693856 PMCID: PMC10487350 DOI: 10.1016/j.xcrp.2023.101388] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Bioengineering devices and systems will become a practical and versatile technology in society when sustainability issues, primarily pertaining to their efficiency, sustainability, and human-machine interaction, are fully addressed. It has become evident that technological paths should not rely on a single operation mechanism but instead on holistic methodologies that integrate different phenomena and approaches with complementary advantages. As an intriguing invention, the ferroelectret nanogenerator (FENG) has emerged with promising potential in various fields of bioengineering. Utilizing the changes in the engineered macro-scale electric dipoles to create displacement current (and vice versa), FENGs have been demonstrated to be a compelling strategy for bidirectional conversion of energy between the electrical and mechanical domains. Here we provide a comprehensive overview of the latest advancements in integrating FENGs in bioengineering systems, focusing on the applications with the most potential and the underlying current constraints.
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Affiliation(s)
- Wei Li
- Department of Mechanical Engineering, University of Vermont, Burlington, VT 05405, USA
- College of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210023, China
| | - Yunqi Cao
- State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China
| | - Chuan Wang
- Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
- Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Nelson Sepúlveda
- Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA
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18
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Xiao G, Ju J, Li M, Wu H, Jian Y, Sun W, Wang W, Li CM, Qiao Y, Lu Z. Weavable yarn-shaped supercapacitor in sweat-activated self-charging power textile for wireless sweat biosensing. Biosens Bioelectron 2023; 235:115389. [PMID: 37216843 DOI: 10.1016/j.bios.2023.115389] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 04/29/2023] [Accepted: 05/12/2023] [Indexed: 05/24/2023]
Abstract
The yarn-based sweat-activated battery (SAB) is a promising energy source for textile electronics due to its excellent skin compatibility, great weavability, and stable electric output. However, its power density is too low to support real-time monitoring and wireless data transmission. Here, we developed a scalable, high-performance sweat-based yarn biosupercapacitor (SYBSC) with two symmetrically aligned electrodes made by wrapping hydrophilic cotton fibers on polypyrrole/poly (3,4-ethylenedioxythiophene):poly (styrenesulfonate)-modified stainless steel yarns. Once activated with artificial sweat, the SYBSC could offer a high areal capacitance of 343.1 mF cm-2 at 0.5 mA cm-2. After 10,000 times of bending under continuous charge-discharge cycles and 25 cycles of machine washing, the device could retain the capacitance at rates of 68% and 73%, respectively. The SYBSCs were integrated with yarn-shaped SABs to produce hybrid self-charging power units. The hybrid units, pH sensing fibers, and a mini-analyzer were woven into a sweat-activated all-in-one sensing textile, in which the hybrid, self-charging units could power the analyzer for real-time data collection and wireless transmission. The all-in-one electronic textile could be successfully employed to real-time monitor the pH values of the volunteers' sweat during exercise. This work can promote the development of self-charging electronic textiles for monitoring human healthcare and exercise intensity.
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Affiliation(s)
- Gang Xiao
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing, 400715, PR China; Sino-Singapore Joint Laboratory of Materials and Technologies for Proactive Health Monitoring, School of Materials & Energy, Southwest University, Chongqing, 400715, PR China; Experimental Center for Virtual Simulation of Sports and Health, Southwest University, Chongqing, 400715, PR China
| | - Jun Ju
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing, 400715, PR China; Sino-Singapore Joint Laboratory of Materials and Technologies for Proactive Health Monitoring, School of Materials & Energy, Southwest University, Chongqing, 400715, PR China; Experimental Center for Virtual Simulation of Sports and Health, Southwest University, Chongqing, 400715, PR China
| | - Min Li
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing, 400715, PR China; Sino-Singapore Joint Laboratory of Materials and Technologies for Proactive Health Monitoring, School of Materials & Energy, Southwest University, Chongqing, 400715, PR China; Experimental Center for Virtual Simulation of Sports and Health, Southwest University, Chongqing, 400715, PR China
| | - Huajun Wu
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing, 400715, PR China; Sino-Singapore Joint Laboratory of Materials and Technologies for Proactive Health Monitoring, School of Materials & Energy, Southwest University, Chongqing, 400715, PR China; Experimental Center for Virtual Simulation of Sports and Health, Southwest University, Chongqing, 400715, PR China
| | - Yihao Jian
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing, 400715, PR China; Sino-Singapore Joint Laboratory of Materials and Technologies for Proactive Health Monitoring, School of Materials & Energy, Southwest University, Chongqing, 400715, PR China; Experimental Center for Virtual Simulation of Sports and Health, Southwest University, Chongqing, 400715, PR China
| | - Wei Sun
- Key Laboratory of Laser Technology and Optoelectronic Functional Materials of Hainan Province, College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou, 571158, PR China
| | - Wei Wang
- Singapore Institute of Manufacturing Technology, 138669, Singapore
| | - Chang Ming Li
- School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215011, PR China
| | - Yan Qiao
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing, 400715, PR China; Sino-Singapore Joint Laboratory of Materials and Technologies for Proactive Health Monitoring, School of Materials & Energy, Southwest University, Chongqing, 400715, PR China; Experimental Center for Virtual Simulation of Sports and Health, Southwest University, Chongqing, 400715, PR China.
| | - Zhisong Lu
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing, 400715, PR China; Sino-Singapore Joint Laboratory of Materials and Technologies for Proactive Health Monitoring, School of Materials & Energy, Southwest University, Chongqing, 400715, PR China; Experimental Center for Virtual Simulation of Sports and Health, Southwest University, Chongqing, 400715, PR China.
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19
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Guo WT, Tang XG, Tang Z, Sun QJ. Recent Advances in Polymer Composites for Flexible Pressure Sensors. Polymers (Basel) 2023; 15:polym15092176. [PMID: 37177322 PMCID: PMC10180924 DOI: 10.3390/polym15092176] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/27/2023] [Accepted: 04/29/2023] [Indexed: 05/15/2023] Open
Abstract
Pressure sensors show significant potential applications in health monitoring, bio-sensing, electronic skin, and tactile perception. Consequently, tremendous research interest has been devoted to the development of high-performance pressure sensors. In this paper, recent progress on the polymer composite-based flexible pressure sensor is reviewed. The parameters of pressure sensors, including sensitivity, linear response range, detection limit, response speed, and reliability, are first introduced. Secondly, representative types of pressure sensors and relevant working principles are introduced and discussed. After that, the applications in human physiology monitoring, health monitoring, artificial skin, and self-powered smart system are listed and discussed in detail. Finally, the remaining challenges and outlook of polymer composite-based flexible sensors are summarized at the end of this review paper. This work should have some impact on the development of high-performance flexible pressure sensors.
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Affiliation(s)
- Wen-Tao Guo
- School of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Xin-Gui Tang
- School of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Zhenhua Tang
- School of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Qi-Jun Sun
- School of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China
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20
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Ivanoska-Dacikj A, Oguz-Gouillart Y, Hossain G, Kaplan M, Sivri Ç, Ros-Lis JV, Mikucioniene D, Munir MU, Kizildag N, Unal S, Safarik I, Akgül E, Yıldırım N, Bedeloğlu AÇ, Ünsal ÖF, Herwig G, Rossi RM, Wick P, Clement P, Sarac AS. Advanced and Smart Textiles during and after the COVID-19 Pandemic: Issues, Challenges, and Innovations. Healthcare (Basel) 2023; 11:healthcare11081115. [PMID: 37107948 PMCID: PMC10137734 DOI: 10.3390/healthcare11081115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/28/2023] [Accepted: 04/02/2023] [Indexed: 04/29/2023] Open
Abstract
The COVID-19 pandemic has hugely affected the textile and apparel industry. Besides the negative impact due to supply chain disruptions, drop in demand, liquidity problems, and overstocking, this pandemic was found to be a window of opportunity since it accelerated the ongoing digitalization trends and the use of functional materials in the textile industry. This review paper covers the development of smart and advanced textiles that emerged as a response to the outbreak of SARS-CoV-2. We extensively cover the advancements in developing smart textiles that enable monitoring and sensing through electrospun nanofibers and nanogenerators. Additionally, we focus on improving medical textiles mainly through enhanced antiviral capabilities, which play a crucial role in pandemic prevention, protection, and control. We summarize the challenges that arise from personal protective equipment (PPE) disposal and finally give an overview of new smart textile-based products that emerged in the markets related to the control and spread reduction of SARS-CoV-2.
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Affiliation(s)
- Aleksandra Ivanoska-Dacikj
- Research Centre for Environment and Materials, Macedonian Academy of Sciences and Arts, Krste Misirkov 2, 1000 Skopje, North Macedonia
| | - Yesim Oguz-Gouillart
- Department of Building and Urban Environment, Innovative Textile Material, JUNIA, 59000 Lille, France
| | - Gaffar Hossain
- V-Trion GmbH Textile Research, Millennium Park 15, 6890 Lustenau, Austria
| | - Müslüm Kaplan
- Department of Textile Engineering, Faculty of Engineering, Architecture and Design, Bartin University, Bartin 74110, Turkey
| | - Çağlar Sivri
- Management Engineering Department, Faculty of Engineering and Natural Sciences, Bahcesehir University, İstanbul 34349, Turkey
| | - José Vicente Ros-Lis
- Centro de Reconocimiento Molecular y Desarrollo Tecnologico (IDM), Unidad Mixta Universitat Politecnica de Valencia, Universitat de Valencia, Departamento de Química Inorgánica, Universitat de València, Doctor Moliner 56, 46100 Valencia, Spain
| | - Daiva Mikucioniene
- Faculty of Mechanical Engineering and Design, Kaunas University of Technology, Studentu Str. 56, 50404 Kaunas, Lithuania
| | - Muhammad Usman Munir
- Faculty of Mechanical Engineering and Design, Kaunas University of Technology, Studentu Str. 56, 50404 Kaunas, Lithuania
| | - Nuray Kizildag
- Institute of Nanotechnology, Gebze Technical University, Gebze, Kocaeli 41400, Turkey
- Integrated Manufacturing Technologies Research and Application Center, Sabanci University, Pendik, Istanbul 34906, Turkey
| | - Serkan Unal
- Integrated Manufacturing Technologies Research and Application Center, Sabanci University, Pendik, Istanbul 34906, Turkey
- Faculty of Engineering and Natural Sciences, Material Science and Nanoengineering, Sabanci University, Tuzla, Istanbul 34956, Turkey
| | - Ivo Safarik
- Department of Nanobiotechnology, Biology Centre, ISBB, CAS, Na Sadkach 7, 370 05 Ceske Budejovice, Czech Republic
- Regional Centre of Advanced Technologies and Materials, Czech Advanced Technology and Research Institute, Palacky University, Slechtitelu 27, 783 71 Olomouc, Czech Republic
| | - Esra Akgül
- Department of Industrial Design Engineering, Faculty of Engineering, Erciyes University, Kayseri 38039, Turkey
| | - Nida Yıldırım
- Trabzon Vocational School, Karadeniz Technical University, Trabzon 61080, Turkey
| | - Ayşe Çelik Bedeloğlu
- Department of Polymer Materials Engineering, Faculty of Engineering and Natural Sciences, Bursa Technical University, Bursa 16310, Turkey
| | - Ömer Faruk Ünsal
- Department of Polymer Materials Engineering, Faculty of Engineering and Natural Sciences, Bursa Technical University, Bursa 16310, Turkey
| | - Gordon Herwig
- Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Biomimetic Membranes and Textiles, 9014 St. Gallen, Switzerland
| | - René M Rossi
- Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Biomimetic Membranes and Textiles, 9014 St. Gallen, Switzerland
| | - Peter Wick
- Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Particle-Biology Interactions, 9014 St. Gallen, Switzerland
| | - Pietro Clement
- Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Particle-Biology Interactions, 9014 St. Gallen, Switzerland
| | - A Sezai Sarac
- Department of Chemistry, Polymer Science and Technology, Faculty of Sciences and Letters, Istanbul Technical University, Istanbul 34469, Turkey
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21
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Chu H, Hu X, Lee CY, Zhang A, Ye Y, Wang Y, Chen Y, Yan X, Wang X, Wei J, He S, Li Y. A wearable electrochemical fabric for cytokine monitoring. Biosens Bioelectron 2023; 232:115301. [PMID: 37062203 DOI: 10.1016/j.bios.2023.115301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 04/03/2023] [Accepted: 04/05/2023] [Indexed: 04/18/2023]
Abstract
Wearable biosensors monitoring various biomarkers in sweat provide comprehensive and prompt profiling of health states at molecular levels. Cytokines existed in sweat with trace amounts play an important role in cellular activity modulation. Unfortunately, flexible and wearable biosensors for cytokine monitoring have not yet been achieved due to the limitation of membrane-based structure and sensing strategy. Herein, we develop a novel electrochemical fabric based on aptamer-functionalized carbon nanotube/graphene fibers for real-time and in situ monitoring of IL-6, a paramount cytokine biomarker for inflammation and cancer. This fabric system possesses flexibility, anti-fatigue ability and breathability for wearable applications and can apply to different body parts in various forms. Moreover, the electrochemical fabric can track other biomarkers by replacing the coupling aptamer, serving as a universal platform for sweat analysis. This fabric-based platform holds the potential to facilitate an intelligent and personalized health monitoring approach.
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Affiliation(s)
- Hongwei Chu
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Science, Harbin Institute of Technology (Shenzhen), University Town, Shenzhen, Guangdong, 518055, China; School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, 150001, China
| | - Xiaokang Hu
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Science, Harbin Institute of Technology (Shenzhen), University Town, Shenzhen, Guangdong, 518055, China; School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, 150001, China
| | - Cheng-Yu Lee
- Department of Chemistry, Chung Yuan Christian University, Taoyuan, 320314, Taiwan
| | - Anning Zhang
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Science, Harbin Institute of Technology (Shenzhen), University Town, Shenzhen, Guangdong, 518055, China; School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, 150001, China
| | - Yang Ye
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, 518055, China
| | - Yuxin Wang
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, 518055, China
| | - Yangyang Chen
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Science, Harbin Institute of Technology (Shenzhen), University Town, Shenzhen, Guangdong, 518055, China; School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, 150001, China
| | - Xiao Yan
- Shenzhen Institute of Information Technology, Shenzhen, 518172, PR China
| | - Xinzhong Wang
- Shenzhen Institute of Information Technology, Shenzhen, 518172, PR China
| | - Jun Wei
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, 518055, China
| | - Sisi He
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Science, Harbin Institute of Technology (Shenzhen), University Town, Shenzhen, Guangdong, 518055, China; School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, 150001, China.
| | - Yingchun Li
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Science, Harbin Institute of Technology (Shenzhen), University Town, Shenzhen, Guangdong, 518055, China; School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, 150001, China.
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22
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Liu G, Lv Z, Batool S, Li MZ, Zhao P, Guo L, Wang Y, Zhou Y, Han ST. Biocompatible Material-Based Flexible Biosensors: From Materials Design to Wearable/Implantable Devices and Integrated Sensing Systems. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023:e2207879. [PMID: 37009995 DOI: 10.1002/smll.202207879] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/28/2023] [Indexed: 06/19/2023]
Abstract
Human beings have a greater need to pursue life and manage personal or family health in the context of the rapid growth of artificial intelligence, big data, the Internet of Things, and 5G/6G technologies. The application of micro biosensing devices is crucial in connecting technology and personalized medicine. Here, the progress and current status from biocompatible inorganic materials to organic materials and composites are reviewed and the material-to-device processing is described. Next, the operating principles of pressure, chemical, optical, and temperature sensors are dissected and the application of these flexible biosensors in wearable/implantable devices is discussed. Different biosensing systems acting in vivo and in vitro, including signal communication and energy supply are then illustrated. The potential of in-sensor computing for applications in sensing systems is also discussed. Finally, some essential needs for commercial translation are highlighted and future opportunities for flexible biosensors are considered.
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Affiliation(s)
- Gang Liu
- Institute of Microscale Optoelectronics and College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Ziyu Lv
- Institute of Microscale Optoelectronics and College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Saima Batool
- Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, P. R. China
| | | | - Pengfei Zhao
- Institute of Microscale Optoelectronics and College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Liangchao Guo
- College of Mechanical Engineering, Yangzhou University, Yangzhou, 225127, P. R. China
| | - Yan Wang
- School of Microelectronics, Hefei University of Technology, Hefei, 230009, P. R. China
| | - Ye Zhou
- Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Su-Ting Han
- Institute of Microscale Optoelectronics and College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
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23
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Luo Y, Abidian MR, Ahn JH, Akinwande D, Andrews AM, Antonietti M, Bao Z, Berggren M, Berkey CA, Bettinger CJ, Chen J, Chen P, Cheng W, Cheng X, Choi SJ, Chortos A, Dagdeviren C, Dauskardt RH, Di CA, Dickey MD, Duan X, Facchetti A, Fan Z, Fang Y, Feng J, Feng X, Gao H, Gao W, Gong X, Guo CF, Guo X, Hartel MC, He Z, Ho JS, Hu Y, Huang Q, Huang Y, Huo F, Hussain MM, Javey A, Jeong U, Jiang C, Jiang X, Kang J, Karnaushenko D, Khademhosseini A, Kim DH, Kim ID, Kireev D, Kong L, Lee C, Lee NE, Lee PS, Lee TW, Li F, Li J, Liang C, Lim CT, Lin Y, Lipomi DJ, Liu J, Liu K, Liu N, Liu R, Liu Y, Liu Y, Liu Z, Liu Z, Loh XJ, Lu N, Lv Z, Magdassi S, Malliaras GG, Matsuhisa N, Nathan A, Niu S, Pan J, Pang C, Pei Q, Peng H, Qi D, Ren H, Rogers JA, Rowe A, Schmidt OG, Sekitani T, Seo DG, Shen G, Sheng X, Shi Q, Someya T, Song Y, Stavrinidou E, Su M, Sun X, Takei K, Tao XM, Tee BCK, Thean AVY, Trung TQ, Wan C, Wang H, Wang J, Wang M, Wang S, Wang T, Wang ZL, Weiss PS, Wen H, Xu S, Xu T, Yan H, Yan X, Yang H, Yang L, Yang S, Yin L, Yu C, Yu G, Yu J, Yu SH, Yu X, Zamburg E, Zhang H, Zhang X, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhao S, Zhao X, Zheng Y, Zheng YQ, Zheng Z, Zhou T, Zhu B, Zhu M, Zhu R, Zhu Y, Zhu Y, Zou G, Chen X. Technology Roadmap for Flexible Sensors. ACS NANO 2023; 17:5211-5295. [PMID: 36892156 PMCID: PMC11223676 DOI: 10.1021/acsnano.2c12606] [Citation(s) in RCA: 178] [Impact Index Per Article: 178.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative efforts, scientific breakthroughs can be made sooner and capitalized for the betterment of humanity.
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Affiliation(s)
- Yifei Luo
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Innovative Centre for Flexible Devices (iFLEX), School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Mohammad Reza Abidian
- Department of Biomedical Engineering, University of Houston, Houston, Texas 77024, United States
| | - Jong-Hyun Ahn
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Deji Akinwande
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States
| | - Anne M Andrews
- Department of Chemistry and Biochemistry, California NanoSystems Institute, and Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, and Hatos Center for Neuropharmacology, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Markus Antonietti
- Colloid Chemistry Department, Max Planck Institute of Colloids and Interfaces, 14476 Potsdam, Germany
| | - Zhenan Bao
- Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States
| | - Magnus Berggren
- Laboratory of Organic Electronics, Department of Science and Technology, Campus Norrköping, Linköping University, 83 Linköping, Sweden
- Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC), SE-100 44 Stockholm, Sweden
| | - Christopher A Berkey
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94301, United States
| | - Christopher John Bettinger
- Department of Biomedical Engineering and Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Peng Chen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
| | - Wenlong Cheng
- Nanobionics Group, Department of Chemical and Biological Engineering, Monash University, Clayton, Australia, 3800
- Monash Institute of Medical Engineering, Monash University, Clayton, Australia3800
| | - Xu Cheng
- Applied Mechanics Laboratory, Department of Engineering Mechanics, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, PR China
| | - Seon-Jin Choi
- Division of Materials of Science and Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea
| | - Alex Chortos
- School of Mechanical Engineering, Purdue University, West Lafayette, Indiana 47906, United States
| | - Canan Dagdeviren
- Media Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Reinhold H Dauskardt
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94301, United States
| | - Chong-An Di
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Organic Solids, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Michael D Dickey
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Xiangfeng Duan
- Department of Chemistry and Biochemistry, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Antonio Facchetti
- Department of Chemistry and the Materials Research Center, Northwestern University, Evanston, Illinois 60208, United States
| | - Zhiyong Fan
- Department of Electronic and Computer Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
| | - Yin Fang
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
| | - Jianyou Feng
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, PR China
| | - Xue Feng
- Laboratory of Flexible Electronics Technology, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
| | - Huajian Gao
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, California, 91125, United States
| | - Xiwen Gong
- Department of Chemical Engineering, Department of Materials Science and Engineering, Department of Electrical Engineering and Computer Science, Applied Physics Program, and Macromolecular Science and Engineering Program, University of Michigan, Ann Arbor, Michigan, 48109 United States
| | - Chuan Fei Guo
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xiaojun Guo
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Martin C Hartel
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Zihan He
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Organic Solids, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - John S Ho
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- The N.1 Institute for Health, National University of Singapore, Singapore 117456, Singapore
| | - Youfan Hu
- School of Electronics and Center for Carbon-Based Electronics, Peking University, Beijing 100871, China
| | - Qiyao Huang
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - Yu Huang
- Department of Materials Science and Engineering, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Fengwei Huo
- Key Laboratory of Flexible Electronics (KLOFE) and Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, PR China
| | - Muhammad M Hussain
- mmh Labs, Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana 47906, United States
| | - Ali Javey
- Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, United States
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | - Unyong Jeong
- Department of Materials Science and Engineering, Pohang University of Science and Engineering (POSTECH), Pohang, Gyeong-buk 37673, Korea
| | - Chen Jiang
- Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
| | - Xingyu Jiang
- Department of Biomedical Engineering, Southern University of Science and Technology, No 1088, Xueyuan Road, Xili, Nanshan District, Shenzhen, Guangdong 518055, PR China
| | - Jiheong Kang
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Daniil Karnaushenko
- Research Center for Materials, Architectures and Integration of Nanomembranes (MAIN), Chemnitz University of Technology, Chemnitz 09126, Germany
| | | | - Dae-Hyeong Kim
- Center for Nanoparticle Research, Institute for Basic Science (IBS), School of Chemical and Biological Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Il-Doo Kim
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
| | - Dmitry Kireev
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States
| | - Lingxuan Kong
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
| | - Chengkuo Lee
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
- NUS Graduate School-Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore 119077, Singapore
| | - Nae-Eung Lee
- School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, Kyunggi-do 16419, Republic of Korea
| | - Pooi See Lee
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Singapore-HUJ Alliance for Research and Enterprise (SHARE), Campus for Research Excellence and Technological Enterprise (CREATE), Singapore 138602, Singapore
| | - Tae-Woo Lee
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
- School of Chemical and Biological Engineering, Seoul National University, Seoul 08826, Republic of Korea
- Institute of Engineering Research, Research Institute of Advanced Materials, Seoul National University, Soft Foundry, Seoul 08826, Republic of Korea
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Fengyu Li
- College of Chemistry and Materials Science, Jinan University, Guangzhou, Guangdong 510632, China
| | - Jinxing Li
- Department of Biomedical Engineering, Department of Electrical and Computer Engineering, Neuroscience Program, BioMolecular Science Program, and Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan 48823, United States
| | - Cuiyuan Liang
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China
| | - Chwee Teck Lim
- Department of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore
- Mechanobiology Institute, National University of Singapore, Singapore 117411, Singapore
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 119276, Singapore
| | - Yuanjing Lin
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China
| | - Darren J Lipomi
- Department of Nano and Chemical Engineering, University of California, San Diego, La Jolla, California 92093-0448, United States
| | - Jia Liu
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, 02134, United States
| | - Kai Liu
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Nan Liu
- Beijing Key Laboratory of Energy Conversion and Storage Materials, College of Chemistry, Beijing Normal University, Beijing 100875, PR China
| | - Ren Liu
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, 02134, United States
| | - Yuxin Liu
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Department of Biomedical Engineering, N.1 Institute for Health, Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore 119077, Singapore
| | - Yuxuan Liu
- Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Zhiyuan Liu
- Neural Engineering Centre, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China 518055
| | - Zhuangjian Liu
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore
| | - Xian Jun Loh
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
| | - Nanshu Lu
- Department of Aerospace Engineering and Engineering Mechanics, Department of Electrical and Computer Engineering, Department of Mechanical Engineering, Department of Biomedical Engineering, Texas Materials Institute, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Zhisheng Lv
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
| | - Shlomo Magdassi
- Institute of Chemistry and the Center for Nanoscience and Nanotechnology, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel
| | - George G Malliaras
- Electrical Engineering Division, Department of Engineering, University of Cambridge CB3 0FA, Cambridge United Kingdom
| | - Naoji Matsuhisa
- Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
| | - Arokia Nathan
- Darwin College, University of Cambridge, Cambridge CB3 9EU, United Kingdom
| | - Simiao Niu
- Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey 08854, United States
| | - Jieming Pan
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Changhyun Pang
- School of Chemical Engineering and Samsung Advanced Institute for Health Science and Technology, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Qibing Pei
- Department of Materials Science and Engineering, Department of Mechanical and Aerospace Engineering, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Huisheng Peng
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, PR China
| | - Dianpeng Qi
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China
| | - Huaying Ren
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, California, 90095, United States
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60208, United States
- Department of Materials Science and Engineering, Department of Mechanical Engineering, Department of Biomedical Engineering, Departments of Electrical and Computer Engineering and Chemistry, and Department of Neurological Surgery, Northwestern University, Evanston, Illinois 60208, United States
| | - Aaron Rowe
- Becton, Dickinson and Company, 1268 N. Lakeview Avenue, Anaheim, California 92807, United States
- Ready, Set, Food! 15821 Ventura Blvd #450, Encino, California 91436, United States
| | - Oliver G Schmidt
- Research Center for Materials, Architectures and Integration of Nanomembranes (MAIN), Chemnitz University of Technology, Chemnitz 09126, Germany
- Material Systems for Nanoelectronics, Chemnitz University of Technology, Chemnitz 09107, Germany
- Nanophysics, Faculty of Physics, TU Dresden, Dresden 01062, Germany
| | - Tsuyoshi Sekitani
- The Institute of Scientific and Industrial Research (SANKEN), Osaka University, Osaka, Japan 5670047
| | - Dae-Gyo Seo
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Guozhen Shen
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
| | - Xing Sheng
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, and IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084, China
| | - Qiongfeng Shi
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
| | - Takao Someya
- Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
| | - Yanlin Song
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences, Beijing, Beijing 100190, China
| | - Eleni Stavrinidou
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-601 74 Norrkoping, Sweden
| | - Meng Su
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences, Beijing, Beijing 100190, China
| | - Xuemei Sun
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, PR China
| | - Kuniharu Takei
- Department of Physics and Electronics, Osaka Metropolitan University, Sakai, Osaka 599-8531, Japan
| | - Xiao-Ming Tao
- Research Institute for Intelligent Wearable Systems, School of Fashion and Textiles, Hong Kong Polytechnic University, Hong Kong, China
| | - Benjamin C K Tee
- Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore
- iHealthtech, National University of Singapore, Singapore 119276, Singapore
| | - Aaron Voon-Yew Thean
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Tran Quang Trung
- School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, Kyunggi-do 16419, Republic of Korea
| | - Changjin Wan
- School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China
| | - Huiliang Wang
- Department of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
| | - Joseph Wang
- Department of Nanoengineering, University of California, San Diego, California 92093, United States
| | - Ming Wang
- Frontier Institute of Chip and System, State Key Laboratory of Integrated Chip and Systems, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433, China
- the Shanghai Qi Zhi Institute, 41th Floor, AI Tower, No.701 Yunjin Road, Xuhui District, Shanghai 200232, China
| | - Sihong Wang
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois, 60637, United States
| | - Ting Wang
- State Key Laboratory of Organic Electronics and Information Displays and Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Zhong Lin Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China
- Georgia Institute of Technology, Atlanta, Georgia 30332-0245, United States
| | - Paul S Weiss
- California NanoSystems Institute, Department of Chemistry and Biochemistry, Department of Bioengineering, and Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Hanqi Wen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
- Institute of Flexible Electronics Technology of THU, Jiaxing, Zhejiang, China 314000
| | - Sheng Xu
- Department of Nanoengineering, Department of Electrical and Computer Engineering, Materials Science and Engineering Program, and Department of Bioengineering, University of California San Diego, La Jolla, California, 92093, United States
| | - Tailin Xu
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, 518060, PR China
| | - Hongping Yan
- Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States
| | - Xuzhou Yan
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Hui Yang
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science, Tianjin University, Tianjin, China, 300072
| | - Le Yang
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Department of Materials Science and Engineering, National University of Singapore (NUS), 9 Engineering Drive 1, #03-09 EA, Singapore 117575, Singapore
| | - Shuaijian Yang
- School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Leeds, LS2 9JT, United Kingdom
| | - Lan Yin
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, and Center for Flexible Electronics Technology, Tsinghua University, Beijing, 100084, China
| | - Cunjiang Yu
- Department of Engineering Science and Mechanics, Department of Biomedical Engineering, Department of Material Science and Engineering, Materials Research Institute, Pennsylvania State University, University Park, Pennsylvania, 16802, United States
| | - Guihua Yu
- Materials Science and Engineering Program and Walker Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, 78712, United States
| | - Jing Yu
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Shu-Hong Yu
- Department of Chemistry, Institute of Biomimetic Materials and Chemistry, Hefei National Research Center for Physical Science at the Microscale, University of Science and Technology of China, Hefei 230026, China
| | - Xinge Yu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China
| | - Evgeny Zamburg
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Haixia Zhang
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication; Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing 100871, China
| | - Xiangyu Zhang
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Xiaosheng Zhang
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Xueji Zhang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong 518060, PR China
| | - Yihui Zhang
- Applied Mechanics Laboratory, Department of Engineering Mechanics; Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, PR China
| | - Yu Zhang
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Siyuan Zhao
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, 02134, United States
| | - Xuanhe Zhao
- Department of Mechanical Engineering, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, United States
| | - Yuanjin Zheng
- Center for Integrated Circuits and Systems, School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore
| | - Yu-Qing Zheng
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication; School of Integrated Circuits, Peking University, Beijing 100871, China
| | - Zijian Zheng
- Department of Applied Biology and Chemical Technology, Faculty of Science, Research Institute for Intelligent Wearable Systems, Research Institute for Smart Energy, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - Tao Zhou
- Center for Neural Engineering, Department of Engineering Science and Mechanics, The Huck Institutes of the Life Sciences, Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Bowen Zhu
- Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou 310024, China
| | - Ming Zhu
- Institute for Digital Molecular Analytics and Science (IDMxS), Nanyang Technological University, 59 Nanyang Drive, Singapore 636921, Singapore
| | - Rong Zhu
- Department of Precision Instrument, Tsinghua University, Beijing 100084, China
| | - Yangzhi Zhu
- Terasaki Institute for Biomedical Innovation, Los Angeles, California, 90064, United States
| | - Yong Zhu
- Department of Mechanical and Aerospace Engineering, Department of Materials Science and Engineering, and Department of Biomedical Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Guijin Zou
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore
| | - Xiaodong Chen
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Innovative Center for Flexible Devices (iFLEX), Max Planck-NTU Joint Laboratory for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
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24
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Wang Y, Sun K, Zhang Q, Yu SS, Han BS, Wang J, Zhao M, Meng X, Chen S, Zheng Y. Flexible integrated sensor with asymmetric structure for simultaneously 3D tactile and thermal sensing. Biosens Bioelectron 2023; 224:115054. [PMID: 36603284 DOI: 10.1016/j.bios.2022.115054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/27/2022] [Accepted: 12/28/2022] [Indexed: 12/31/2022]
Abstract
The human body detects tactile stimuli through a combination of pressure force and temperature signals via various cutaneous receptors. The development of a multifunctional artificial tactile perception system has potential benefits for future robotic technologies, human-machine interfaces, artificial intelligence, and health monitoring devices. However, constructing systems beyond simple pressure sensing capabilities remains challenging. Here, we propose an artificial flexible and ultra-thin (50 μ m) skin system to simultaneously capture 3D tactile and thermal signals, which mimics the human tactile recognition process using customized sensor pairs and compact peripheral signal-converting circuits. The 3D tactile sensors have a flower-like asymmetric structure with 5-ports and 4 capacitive elements in pairs. Differential and average signals would reveal the curl and amplitude values of the fore field with a resolution of 0.18/mm. The resistive thermal sensors are fabricated with serpentine lines and possess stable heat-sensing performance (165 mV/°C) under shape deformation conditions. Real-time monitoring of the skin stimuli is displayed on the user interface and stored on mobile clients. This work offers broad capabilities relevant to practical applications ranging from assistant prosthetics to artificial electronic skins.
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Affiliation(s)
- Yongqing Wang
- School of Geophysics and Information Technology, China University of Geosciences, Beijing, 100084, China; School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore
| | - Kun Sun
- Beijing Key Laboratory of Advanced Manufacturing Technology, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
| | - Qisheng Zhang
- School of Geophysics and Information Technology, China University of Geosciences, Beijing, 100084, China
| | | | - Boon Siew Han
- Schaeffler Hub for Advanced Research (SHARE@NTU), Nanyang Technological University, 61 Nanyang Dr, 637460, Singapore
| | - Jianpeng Wang
- Department of Critical CareMedicine, The First Affiliated Hospital of Harbin Medical University, Harbin, 150007, China
| | - Mingyan Zhao
- Department of Critical CareMedicine, The First Affiliated Hospital of Harbin Medical University, Harbin, 150007, China
| | - Xianglin Meng
- Department of Critical CareMedicine, The First Affiliated Hospital of Harbin Medical University, Harbin, 150007, China
| | - Sicheng Chen
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore.
| | - Yuanjin Zheng
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore.
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25
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Xu J, Tat T, Zhao X, Xiao X, Zhou Y, Yin J, Chen K, Chen J. Spherical Magnetoelastic Generator for Multidirectional Vibration Energy Harvesting. ACS NANO 2023; 17:3865-3872. [PMID: 36780399 DOI: 10.1021/acsnano.2c12142] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Vibration is a common, usually wasted energy, and an attractive target for sustainable electricity generation. In this work, we introduce a new working mechanism to the vibration energy harvesting community by contributing a spherical magnetoelastic generator (S-MEG), which permits multidirectional vibration and is highly adaptable to many natural oscillation frequencies, exhibiting a resonant frequency of 24 Hz and a relatively wide working bandwidth of 15 Hz in the low-frequency range. It also features a low internal impedance of 70 Ω, which can respectively deliver a maximum short-circuit current density of 7.962 A·m-2 and a power density of 15.1 mW·m-2. To demonstrate the capability of S-MEG for ambient vibration energy harvesting, a 220 μF commercial capacitor was successfully charged to 2 V within 25 s, sustainably driving wearable bioelectronics for multiple physiological information monitoring. It could also harvest multidirectional vibration energy from both hand-shaking and bicycle-riding, generating approximately 2.5 mA and 6 mA alternating current from the motions, respectively, even with heavy perspiration or on a rainy day without the need for encapsulation. In summary, this work brings forth an appealing platform technology to the community of vibration energy harvesting, holding a collection of compelling features, including high current density, low inner impedance, intrinsic waterproofness, and scalability for large-scale vibration energy harvesting.
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Affiliation(s)
- Jing Xu
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Trinny Tat
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Xun Zhao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Yihao Zhou
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Junyi Yin
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Kangrui Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
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26
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Pan H, Chen G, Chen Y, Di Carlo A, Mayer MA, Shen S, Chen C, Li W, Subramaniam S, Huang H, Tai H, Jiang Y, Xie G, Su Y, Chen J. Biodegradable cotton fiber-based piezoresistive textiles for wearable biomonitoring. Biosens Bioelectron 2023; 222:114999. [PMID: 36521206 DOI: 10.1016/j.bios.2022.114999] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 12/02/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022]
Abstract
Electronic textiles are fundamentally changing the way we live. However, the inability to effectively recycle them is a considerable burden to the environment. In this study, we developed a cotton fiber-based piezoresistive textile (CF p-textile) for biomonitoring which is biocompatible, biodegradable, and environmentally friendly. These CF p-textiles were fabricated using a scalable dip-coating method to adhere MXene flakes to porous cotton cellulose fibers. The adhesion is made stronger by strong hydrogen bonding between MXene flakes and hierarchically porous cotton cellulose fibers. This cotton-fiber system provides a high sensitivity of 17.73 kPa-1 in a wide pressure range (100 Pa-30 kPa), a 2 Pa subtle pressure detection limit, fast response/recovery time (80/40 ms), and good cycle stability (over 5, 000 cycles). With its compelling sensing performance, the CF p-textile can detect various human biomechanical activities, including pulsation, muscle movement, and swallowing, while still being comfortable to wear. Moreover, the cotton cellulose is decomposed into low-molecular weight cellulose or glucose as a result of the 1,4-glycosidic bond breakage when exposed to acid or during natural degradation, which allows the electronic textile to be biodegradable. This work offers an ecologically-benign, cost-effective and facile approach to fabricating high-performance wearable bioelectronics.
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Affiliation(s)
- Hong Pan
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Guorui Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Yanmeng Chen
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Aiden Di Carlo
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Mylan Anh Mayer
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Sophia Shen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Chunxu Chen
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Weixiong Li
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Suriyen Subramaniam
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Haichao Huang
- Key Laboratory of Advanced Technologies of Materials, Ministry of Education, School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, China
| | - Huiling Tai
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Yadong Jiang
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Guangzhong Xie
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China.
| | - Yuanjie Su
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China.
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
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27
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Libanori A, Soto J, Xu J, Song Y, Zarubova J, Tat T, Xiao X, Yue SZ, Jonas SJ, Li S, Chen J. Self-Powered Programming of Fibroblasts into Neurons via a Scalable Magnetoelastic Generator Array. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2206933. [PMID: 36468617 PMCID: PMC10462379 DOI: 10.1002/adma.202206933] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 11/11/2022] [Indexed: 06/17/2023]
Abstract
Developing scalable electrical stimulating platforms for cell and tissue engineering applications is limited by external power source dependency, wetting resistance, microscale size requirements, and suitable flexibility. Here, a versatile and scalable platform is developed to enable tunable electrical stimulation for biological applications by harnessing the giant magnetoelastic effect in soft systems, converting gentle air pressure (100-400 kPa) to yield a current of up to 10.5 mA and a voltage of 9.5 mV. The platform can be easily manufactured and scaled up for integration in multiwell magnetoelastic plates via 3D printing. The authors demonstrate that the electrical stimulation generated by this platform enhances the conversion of fibroblasts into neurons up to 2-fold (104%) and subsequent neuronal maturation up to 3-fold (251%). This easily configurable electrical stimulation device has broad applications in high throughput organ-on-a-chip systems, and paves the way for future development of neural engineering, including cellular therapy via implantable self-powered electrical stimulation devices.
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Affiliation(s)
- Alberto Libanori
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Jennifer Soto
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Jing Xu
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Yang Song
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Jana Zarubova
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Trinny Tat
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Shou Zheng Yue
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Pediatrics, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Steven J Jonas
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Pediatrics, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Children's Discovery and Innovation Institute, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Eli & Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Song Li
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA, 90095, USA
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28
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Yu M, Yu D, Hua Y, Wang Y, Liu J, Xie Z. Dual-Mode Coupled Triboelectric Nanogenerator for Harvesting Random Vibration Energy. ACS OMEGA 2023; 8:3842-3849. [PMID: 36743004 PMCID: PMC9893744 DOI: 10.1021/acsomega.2c06117] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 01/06/2023] [Indexed: 06/13/2023]
Abstract
As a new energy harvesting technology, triboelectric nanogenerators are widely used for vibration mechanical energy harvesting. However, the current schemes ignore the composite characteristics of vibration, with problems such as utilization and low collection efficiency. In this paper, a random resonance cantilever beam triboelectric nanogenerator (RCB-TENG) with dual-mode coupled is presented, the working mode is a coupling form of in-plane sliding and vertical contact-separation that can effectively collect complex vibration energy in transverse and longitudinal directions. The influences of the structural parameters of the RCB-TENG and different dielectric materials on the output performance are systematically investigated. The single vibration module achieved a power density of 463.56 mW/m2 and a transfer charge of 10.7 μC at a vibration frequency of 46 Hz, an increase in power density, and a transfer charge of 4.94 and 3.82 times, respectively, compared to the conventional contact-separation mode. Finally, the RCB-TENG was tested in practice, and it was observed that nine 1 W commercial LED bulbs and 500 5 mm diameter LED lamps were successfully lit. This work offers new ideas for distributed energy harvesting technologies and holds broad promise in the field of energy harvesting from wind, water, wave, and random vibrations caused by mechanical energy.
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Affiliation(s)
- Mingyu Yu
- College
of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150042, China
| | - Di Yu
- College
of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150042, China
| | - Yongzhi Hua
- China
Academy of Launch Vehicle Technology, Beijing 100076, China
| | - Yu Wang
- College
of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150042, China
| | - Jiuqing Liu
- College
of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150042, China
| | - Zhijie Xie
- College
of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150042, China
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29
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Wu S, Moody K, Kollipara A, Zhu Y. Highly Sensitive, Stretchable, and Robust Strain Sensor Based on Crack Propagation and Opening. ACS APPLIED MATERIALS & INTERFACES 2023; 15:1798-1807. [PMID: 36548931 PMCID: PMC10403976 DOI: 10.1021/acsami.2c16741] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Soft and stretchable strain sensors have been attracting significant attention. However, the trade-off between the sensitivity (gauge factor) and the sensing range has been a major challenge. In this work, we report a soft stretchable resistive strain sensor with an unusual combination of high sensitivity, large sensing range, and high robustness. The sensor is made of a silver nanowire network embedded below the surface of an elastomeric matrix (e.g., poly(dimethylsiloxane)). Periodic mechanical cuts are applied to the top surface of the sensor, changing the current flow from uniformly across the sensor to along the conducting path defined by the open cracks. Both experiment and finite element analysis are conducted to study the effect of the slit depth, slit length, and pitch between the slits. The stretchable strain sensor can be integrated into wearable systems for monitoring physiological functions and body motions associated with different levels of strain, such as blood pressure and lower back health. Finally, a soft three-dimensional (3D) touch sensor that tracks both normal and shear stresses is developed for human-machine interfaces and tactile sensing for robotics.
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Affiliation(s)
- Shuang Wu
- Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina27695, United States
| | - Katherine Moody
- Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina27695, United States
| | - Abhiroop Kollipara
- Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina27695, United States
| | - Yong Zhu
- Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina27695, United States
- Department of Materials Science and Engineering, North Carolina State University, Raleigh, North Carolina27695, United States
- Joint Department of Biomedical Engineering, University of North Carolina-Chapel Hill and NC State University, Chapel Hill, North Carolina27599, United States
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30
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Nie M, Li B, Hsieh YL, Fu KK, Zhou J. Stretchable One-Dimensional Conductors for Wearable Applications. ACS NANO 2022; 16:19810-19839. [PMID: 36475644 DOI: 10.1021/acsnano.2c08166] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Continuous, one-dimensional (1D) stretchable conductors have attracted significant attention for the development of wearables and soft-matter electronics. Through the use of advanced spinning, printing, and textile technologies, 1D stretchable conductors in the forms of fibers, wires, and yarns can be designed and engineered to meet the demanding requirements for different wearable applications. Several crucial parameters, such as microarchitecture, conductivity, stretchability, and scalability, play essential roles in designing and developing wearable devices and intelligent textiles. Methodologies and fabrication processes have successfully realized 1D conductors that are highly conductive, strong, lightweight, stretchable, and conformable and can be readily integrated with common fabrics and soft matter. This review summarizes the latest advances in continuous, 1D stretchable conductors and emphasizes recent developments in materials, methodologies, fabrication processes, and strategies geared toward applications in electrical interconnects, mechanical sensors, actuators, and heaters. This review classifies 1D conductors into three categories on the basis of their electrical responses: (1) rigid 1D conductors, (2) piezoresistive 1D conductors, and (3) resistance-stable 1D conductors. This review also evaluates the present challenges in these areas and presents perspectives for improving the performance of stretchable 1D conductors for wearable textile and flexible electronic applications.
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Affiliation(s)
- Mingyu Nie
- School of Material Science and Engineering Key Laboratory for Polymeric Composite & Functional Materials of Ministry of Education Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, Sun Yat-sen University Guangzhou, Guangdong510275, China
| | - Boxiao Li
- School of Material Science and Engineering Key Laboratory for Polymeric Composite & Functional Materials of Ministry of Education Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, Sun Yat-sen University Guangzhou, Guangdong510275, China
| | - You-Lo Hsieh
- Biological and Agricultural Engineering, University of California at Davis, California95616, United States
| | - Kun Kelvin Fu
- Department of Mechanical Engineering, University of Delaware, Newark, Delaware19716, United States
| | - Jian Zhou
- School of Material Science and Engineering Key Laboratory for Polymeric Composite & Functional Materials of Ministry of Education Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, Sun Yat-sen University Guangzhou, Guangdong510275, China
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31
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Conductive Textiles for Signal Sensing and Technical Applications. SIGNALS 2022. [DOI: 10.3390/signals4010001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Conductive textiles have found notable applications as electrodes and sensors capable of detecting biosignals like the electrocardiogram (ECG), electrogastrogram (EGG), electroencephalogram (EEG), and electromyogram (EMG), etc; other applications include electromagnetic shielding, supercapacitors, and soft robotics. There are several classes of materials that impart conductivity, including polymers, metals, and non-metals. The most significant materials are Polypyrrole (PPy), Polyaniline (PANI), Poly(3,4-ethylenedioxythiophene) (PEDOT), carbon, and metallic nanoparticles. The processes of making conductive textiles include various deposition methods, polymerization, coating, and printing. The parameters, such as conductivity and electromagnetic shielding, are prerequisites that set the benchmark for the performance of conductive textile materials. This review paper focuses on the raw materials that are used for conductive textiles, various approaches that impart conductivity, the fabrication of conductive materials, testing methods of electrical parameters, and key technical applications, challenges, and future potential.
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32
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Chen G, Shen S, Tat T, Zhao X, Zhou Y, Fang Y, Chen J. Wearable respiratory sensors for COVID-19 monitoring. VIEW 2022; 3:20220024. [PMID: 36710943 PMCID: PMC9874505 DOI: 10.1002/viw.20220024] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 10/07/2022] [Accepted: 10/08/2022] [Indexed: 11/30/2022] Open
Abstract
Since its outbreak in 2019, COVID-19 becomes a pandemic, severely burdening the public healthcare systems and causing an economic burden. Thus, societies around the world are prioritizing a return to normal. However, fighting the recession could rekindle the pandemic owing to the lightning-fast transmission rate of SARS-CoV-2. Furthermore, many of those who are infected remain asymptomatic for several days, leading to the increased possibility of unintended transmission of the virus. Thus, developing rigorous and universal testing technologies to continuously detect COVID-19 for entire populations remains a critical challenge that needs to be overcome. Wearable respiratory sensors can monitor biomechanical signals such as the abnormities in respiratory rate and cough frequency caused by COVID-19, as well as biochemical signals such as viral biomarkers from exhaled breaths. The point-of-care system enabled by advanced respiratory sensors is expected to promote better control of the pandemic by providing an accessible, continuous, widespread, noninvasive, and reliable solution for COVID-19 diagnosis, monitoring, and management.
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Affiliation(s)
- Guorui Chen
- Department of BioengineeringUniversity of California, Los AngelesLos AngelesCalifornia90095USA
| | - Sophia Shen
- Department of BioengineeringUniversity of California, Los AngelesLos AngelesCalifornia90095USA
| | - Trinny Tat
- Department of BioengineeringUniversity of California, Los AngelesLos AngelesCalifornia90095USA
| | - Xun Zhao
- Department of BioengineeringUniversity of California, Los AngelesLos AngelesCalifornia90095USA
| | - Yihao Zhou
- Department of BioengineeringUniversity of California, Los AngelesLos AngelesCalifornia90095USA
| | - Yunsheng Fang
- Department of BioengineeringUniversity of California, Los AngelesLos AngelesCalifornia90095USA
| | - Jun Chen
- Department of BioengineeringUniversity of California, Los AngelesLos AngelesCalifornia90095USA
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33
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Ock IW, Zhao X, Tat T, Xu J, Chen J. Harvesting Hydropower via a Magnetoelastic Generator for Sustainable Water Splitting. ACS NANO 2022; 16:16816-16823. [PMID: 36201791 DOI: 10.1021/acsnano.2c06540] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Energy consumption and the resulting climate change are the two major challenges to human sustainability. Hydrogen (H2) is a form of environmentally friendly renewable energy with an extremely high energy density of 143 MJ kg-1. Water splitting is a practical and cost-effective approach to generate H2 through the decomposition of H2O by electrolysis with an external power supply. Herein, we introduce a compelling platform technology for self-powered water splitting by using a soft magnetoelastic generator to convert hydropower into electricity as a sustainable power supply for electrolysis. At a rotating speed of 469 rpm, the hydropower harvester is able to convert flowing kinetic energy into electricity and produce a high current density of 2.99 mA cm-2 at a low resistance of 60 Ω. The magnetoelastic generator is intrinsically waterproof since the magnetic field can penetrate the water molecules. As a demonstration, the device maintained a stable electrical output even in underwater situations after over 7,000 cyclic operations. The generated electricity from hydropower could produce H2 at a rate of 1.93 × 10-3 mL min-1. In conclusion, this work provides a compelling method for self-powered water splitting by using flowing kinetic energy.
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Affiliation(s)
- Il Woo Ock
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California90095, United States
| | - Xun Zhao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California90095, United States
| | - Trinny Tat
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California90095, United States
| | - Jing Xu
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California90095, United States
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California90095, United States
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Kim S, Xiao X, Chen J. Advances in Photoplethysmography for Personalized Cardiovascular Monitoring. BIOSENSORS 2022; 12:bios12100863. [PMID: 36290999 PMCID: PMC9599898 DOI: 10.3390/bios12100863] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 10/10/2022] [Indexed: 05/31/2023]
Abstract
Photoplethysmography (PPG) is garnering substantial interest due to low cost, noninvasiveness, and its potential for diagnosing cardiovascular diseases, such as cardiomyopathy, heart failure, and arrhythmia. The signals obtained through PPG can yield information based on simple analyses, such as heart rate. In contrast, when accompanied by the complex analysis of sophisticated signals, valuable information, such as blood pressure, sympathetic nervous system activity, and heart rate variability, can be obtained. For a complex analysis, a better understanding of the sources of noise, which create limitations in the application of PPG, is needed to get reliable information to assess cardiovascular health. Therefore, this Special Issue handles literature about noises and how they affect the waveform of the PPG caused by individual variations (e.g., skin tone, obesity, age, and gender), physiology (e.g., respiration, venous pulsation, body site of measurement, and body temperature), and external factors (e.g., motion artifact, ambient light, and applied pressure to the skin). It also covers the issues that still need to be considered in each situation.
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Affiliation(s)
- Seamin Kim
- Department of Physics and Astronomy, University of California, Irvine, CA 92697, USA
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, CA 90095, USA
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, CA 90095, USA
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Shen S, Xiao X, Yin J, Xiao X, Chen J. Self-Powered Smart Gloves Based on Triboelectric Nanogenerators. SMALL METHODS 2022; 6:e2200830. [PMID: 36068171 DOI: 10.1002/smtd.202200830] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 08/14/2022] [Indexed: 06/15/2023]
Abstract
The hands are used in all facets of daily life, from simple tasks such as grasping and holding to complex tasks such as communication and using technology. Finding a way to not only monitor hand movements and gestures but also to integrate that data with technology is thus a worthwhile task. Gesture recognition is particularly important for those who rely on sign language to communicate, but the limitations of current vision-based and sensor-based methods, including lack of portability, bulkiness, low sensitivity, highly expensive, and need for external power sources, among many others, make them impractical for daily use. To resolve these issues, smart gloves can be created using a triboelectric nanogenerator (TENG), a self-powered technology that functions based on the triboelectric effect and electrostatic induction and is also cheap to manufacture, small in size, lightweight, and highly flexible in terms of materials and design. In this review, an overview of the existing self-powered smart gloves will be provided based on TENGs, both for gesture recognition and human-machine interface, concluding with a discussion on the future outlook of these devices.
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Affiliation(s)
- Sophia Shen
- Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA
| | - Junyi Yin
- Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA
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Cao S, Xu Y, Yu Z, Zhang P, Xu X, Sui N, Zhou T, Zhang T. A Dual Sensing Platform for Human Exhaled Breath Enabled by Fe-MIL-101-NH 2 Metal-Organic Frameworks and its Derived Co/Ni/Fe Trimetallic Oxides. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2203715. [PMID: 36058648 DOI: 10.1002/smll.202203715] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 07/24/2022] [Indexed: 06/15/2023]
Abstract
Limited by the insufficient active sites and the interference from breath humidity, designing reliable gas sensing materials with high activity and moisture resistance remains a challenge to analyze human exhaled breath for the translational application of medical diagnostics. Herein, the dual sensing and cooperative diagnosis is achieved by utilizing metal-organic frameworks (MOFs) and its derivative. The Fe-MIL-101-NH2 serves as the quartz crystal microbalance humidity sensing layer, which exhibits high selectivity and rapid response time (16 s/15 s) to water vapor. Then, the Co2+ and Ni2+ cations are further co-doped into Fe-MIL-101-NH2 host to obtain the derived Co/Ni/Fe trimetallic oxides (CoNiFe-MOS-n). The chemiresistive CoNiFe-MOS-n sensor displays the high sensitivity (560) and good selectivity to acetone, together with a lower original resistance compared with Fe2 O3 and NiFe2 O4 . Moreover, as a proof-of-concept application, synergistic integration of Fe-MIL-101-NH2 and derived CoNiFe-MOS-n is carried out. The Fe-MIL-101-NH2 is applied as moisture sorbent materials, which realize a sensitivity compensation of CoNiFe-MOS-n sensors for the detection of acetone (biomarker gas of diabetes). The findings provide an insight for effective utilization of MOFs and the derived materials to achieve a trace gas detection in exhaled breath analysis.
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Affiliation(s)
- Shuang Cao
- State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, 130012, P. R. China
| | - Yifeng Xu
- State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, 130012, P. R. China
| | - Zhongzheng Yu
- Cavendish Laboratory, University of Cambridge, Cambridge, CB3 0HE, UK
- School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore, 637459, Singapore
| | - Peng Zhang
- State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, 130012, P. R. China
| | - Xiaoyi Xu
- State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, 130012, P. R. China
| | - Ning Sui
- State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, 130012, P. R. China
| | - Tingting Zhou
- State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, 130012, P. R. China
| | - Tong Zhang
- State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, 130012, P. R. China
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Dai B, Zhou Y, Xiao X, Chen Y, Guo J, Gao C, Xie Y, Chen J. Fluid Field Modulation in Mass Transfer for Efficient Photocatalysis. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2203057. [PMID: 35957518 PMCID: PMC9534979 DOI: 10.1002/advs.202203057] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 07/15/2022] [Indexed: 05/19/2023]
Abstract
Mass transfer is an essential factor determining photocatalytic performance, which can be modulated by fluid field via manipulating the kinetic characteristics of photocatalysts and photocatalytic intermediates. Past decades have witnessed the efforts and achievements made in manipulating mass transfer based on photocatalyst structure and composition design, and thus, a critical survey that scrutinizes the recent progress in this topic is urgently necessitated. This review examines the basic principles of how mass transfer behavior impacts photocatalytic activity accompanying with the discussion on theoretical simulation calculation including fluid flow speed and pattern. Meanwhile, newly emerged viable photocatalytic micro/nanomotors with self-thermophoresis, self-diffusiophoresis, and bubble-propulsion mechanisms as well as magnet-actuated photocatalytic artificial cilia for facilitating mass transfer will be covered. Furthermore, their applications in photocatalytic hydrogen evolution, carbon dioxide reduction, organic pollution degradation, bacteria disinfection and so forth are scrutinized. Finally, a brief summary and future outlook are presented, providing a viable guideline to those working in photocatalysis, mass transfer, and other related fields.
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Affiliation(s)
- Baoying Dai
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM)Jiangsu Key Laboratory for BiosensorsJiangsu National Synergetic Innovation Center for Advanced Materials (SICAM)Nanjing University of Posts and TelecommunicationsNanjing210023China
| | - Yihao Zhou
- Department of BioengineeringUniversity of California, Los AngelesLos AngelesCA90095USA
| | - Xiao Xiao
- Department of BioengineeringUniversity of California, Los AngelesLos AngelesCA90095USA
| | - Yukai Chen
- State Key Laboratory of Materials‐Oriented Chemical EngineeringCollege of Materials Science and EngineeringNanjing Tech UniversityNanjing210009China
| | - Jiahao Guo
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM)Jiangsu Key Laboratory for BiosensorsJiangsu National Synergetic Innovation Center for Advanced Materials (SICAM)Nanjing University of Posts and TelecommunicationsNanjing210023China
| | - Chenchen Gao
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM)Jiangsu Key Laboratory for BiosensorsJiangsu National Synergetic Innovation Center for Advanced Materials (SICAM)Nanjing University of Posts and TelecommunicationsNanjing210023China
| | - Yannan Xie
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM)Jiangsu Key Laboratory for BiosensorsJiangsu National Synergetic Innovation Center for Advanced Materials (SICAM)Nanjing University of Posts and TelecommunicationsNanjing210023China
| | - Jun Chen
- Department of BioengineeringUniversity of California, Los AngelesLos AngelesCA90095USA
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Tat T, Chen G, Zhao X, Zhou Y, Xu J, Chen J. Smart Textiles for Healthcare and Sustainability. ACS NANO 2022; 16:13301-13313. [PMID: 35969207 DOI: 10.1021/acsnano.2c06287] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
At the forefront of the smart textile community, healthcare and sustainability are the two crucial objectives targeted by researchers. The development of such powerful devices has been driven by innovative fabrications of breathable, skin-conformable technologies through the use of functional and programmable materials and device structures. This Perspective focuses on the current smart textiles available in the research field, categorized into personalized healthcare, including diagnostics and therapeutics, and sustainability, including energy harvesting and conservation─personalized thermoregulation. These categories are further broken down into their platform structural technologies and performances. Furthermore, we give a comprehensive overview and highlight a few examples of current studies. Finally, we provide an outlook on these technologies for future researchers to participate. We envision that the next generation of smart textiles will revolutionize wearable technology for healthcare and sustainability.
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Affiliation(s)
- Trinny Tat
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Guorui Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Xun Zhao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Yihao Zhou
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Jing Xu
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
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Deng Y, Wang Y, Xiao X, Saucedo BJ, Zhu Z, Xie M, Xu X, Yao K, Zhai Y, Zhang Z, Chen J. Progress in Hybridization of Covalent Organic Frameworks and Metal-Organic Frameworks. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2202928. [PMID: 35986438 DOI: 10.1002/smll.202202928] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 07/24/2022] [Indexed: 06/15/2023]
Abstract
Metal-organic frameworks (MOFs) and covalent organic frameworks (COFs) hybrid materials are a class of porous crystalline materials that integrate MOFs and COFs with hierarchical pore structures. As an emerging porous frame material platform, MOF/COF hybrid materials have attracted tremendous attention, and the field is advancing rapidly and extending into more diverse fields. Extensive studies have shown that a broad variety of MOF/COF hybrid materials with different structures and specific properties can be synthesized from diverse building blocks via different chemical reactions, driving the rapid growth of the field. The allowed complementary utilization of π-conjugated skeletons and nanopores for functional exploration has endowed these hybrid materials with great potential in challenging energy and environmental issues. It is necessary to prepare a "family tree" to accurately trace the developments in the study of MOF/COF hybrid materials. This review comprehensively summarizes the latest achievements and advancements in the design and synthesis of MOF/COF hybrid materials, including COFs covalently bonded to the surface functional groups of MOFs (MOF@COF), MOFs grown on the surface of COFs (COF@MOF), bridge reaction between COF and MOF (MOF+COF), and their various applications in catalysis, energy storage, pollutant adsorption, gas separation, chemical sensing, and biomedicine. It concludes with remarks concerning the trend from the structural design to functional exploration and potential applications of MOF/COF hybrid materials.
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Affiliation(s)
- Yang Deng
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science, Tianjin University, Tianjin, 300072, P. R. China
| | - Yue Wang
- Tianjin Key Laboratory of Environmental Technology for Complex Trans-Media Pollution, College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, P. R. China
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Brett Jacob Saucedo
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Zhijun Zhu
- Institute of Molecular Metrics, College of Chemistry and Chemical Engineering, Qingdao University, Qingdao, 266071, P. R. China
| | - Mingsen Xie
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science, Tianjin University, Tianjin, 300072, P. R. China
| | - Xinru Xu
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science, Tianjin University, Tianjin, 300072, P. R. China
| | - Kun Yao
- Shenzhen Zhongxing New Material Technology Company Ltd., Shenzhen, 518000, P. R. China
| | - Yanling Zhai
- Institute of Molecular Metrics, College of Chemistry and Chemical Engineering, Qingdao University, Qingdao, 266071, P. R. China
| | - Zhen Zhang
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science, Tianjin University, Tianjin, 300072, P. R. China
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
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Meng K, Xiao X, Liu Z, Shen S, Tat T, Wang Z, Lu C, Ding W, He X, Yang J, Chen J. Kirigami-Inspired Pressure Sensors for Wearable Dynamic Cardiovascular Monitoring. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2202478. [PMID: 35767870 DOI: 10.1002/adma.202202478] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 05/29/2022] [Indexed: 06/15/2023]
Abstract
Continuously and accurately monitoring pulse-wave signals is critical to prevent and diagnose cardiovascular diseases. However, existing wearable pulse sensors are vulnerable to motion artifacts due to the lack of proper adhesion and conformal interface with human skin during body movement. Here, a highly sensitive and conformal pressure sensor inspired by the kirigami structure is developed to measure the human pulse wave on different body artery sites under various prestressing pressure conditions and even with body movement. COMSOL multiphysical field coupling simulation and experimental testing are used to verify the unique advantages of the kirigami structure. The device shows a superior sensitivity (35.2 mV Pa-1 ) and remarkable stability (>84 000 cycles). Toward practical applications, a wireless cardiovascular monitoring system is developed for wirelessly transmitting the pulse signals to a mobile phone in real-time, which successfully distinguished the pulse waveforms from different participants. The pulse waveforms measured by the kirigami inspired pressure sensor are as accurate as those provided by the commercial medical device. Given the compelling features, the sensor provides an ascendant way for wearable electronics to overcome motion artifacts when monitoring pulse signals, thus representing a solid advancement toward personalized healthcare in the era of the Internet of Things.
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Affiliation(s)
- Keyu Meng
- School of Electronic and Information Engineering, Jilin Provincial Key Laboratory of Human Health Status Identification and Function Enhancement, Changchun University, Changchun, 130022, China
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Zixiao Liu
- Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Sophia Shen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Trinny Tat
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Zihan Wang
- Tsinghua-Berkeley Shenzhen Institute and Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, P. R. China
| | - Chengyue Lu
- Tsinghua-Berkeley Shenzhen Institute and Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, P. R. China
| | - Wenbo Ding
- Tsinghua-Berkeley Shenzhen Institute and Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, P. R. China
| | - Ximin He
- Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Jun Yang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, P. R. China
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
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Ouyang J, Rao S, Liu R, Wang L, Chen W, Tao W, Kong N. 2D materials-based nanomedicine: From discovery to applications. Adv Drug Deliv Rev 2022; 185:114268. [PMID: 35398466 DOI: 10.1016/j.addr.2022.114268] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 03/11/2022] [Accepted: 04/02/2022] [Indexed: 01/14/2023]
Abstract
Due to their unique physicochemical characteristics, 2D materials have attracted more and more attention in the biomedicine field. Currently, 2D materials-based nanomedicines have been extensively applied in various diseases including cancer, bacterial infection, tissue engineering, biological protection, neurodegenerative diseases, and cardiovascular disease. Depending on their various characteristics, these 2D nanomedicines exert their therapeutic effect in different ways, showing great clinical application prospects. Herein, we focus on the various biomedical applications of 2D materials-based nanomedicine. The structures and characteristics of several typical 2D nanomaterials with different configurations and their corresponding biomedical applications are first introduced. Then, the potential of 2D nanomedicines on therapeutic and imaging and their biological functionalization are discussed. Furthermore, the therapeutic potentials of 2D nanomedicines in various diseases are also comprehensively summarized. At last, the challenges and perspectives for the advancement of 2D nanomedicines in clinical transformation are outlooks.
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Affiliation(s)
- Jiang Ouyang
- Center for Nanomedicine and Department of Anesthesiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Siyuan Rao
- Guangzhou University of Chinese Medicine, Guangzhou, China & Orthopedics Department, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, Guangdong 510006, China
| | - Runcong Liu
- Zhuhai Hospital Affiliated, Jinan University, Zhuhai, Guangdong 519000, China
| | - Liqiang Wang
- School of Material Science and Engineering, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Wei Chen
- Center for Nanomedicine and Department of Anesthesiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Wei Tao
- Center for Nanomedicine and Department of Anesthesiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
| | - Na Kong
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, Zhejiang 311121, China; Center for Nanomedicine and Department of Anesthesiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
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Fang Y, Xu J, Xiao X, Zou Y, Zhao X, Zhou Y, Chen J. A Deep-Learning-Assisted On-Mask Sensor Network for Adaptive Respiratory Monitoring. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2200252. [PMID: 35306703 DOI: 10.1002/adma.202200252] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 02/21/2022] [Indexed: 05/07/2023]
Abstract
Wearable respiratory monitoring is a fast, non-invasive, and convenient approach to provide early recognition of human health abnormalities like restrictive and obstructive lung diseases. Here, a computational fluid dynamics assisted on-mask sensor network is reported, which can overcome different user facial contours and environmental interferences to collect highly accurate respiratory signals. Inspired by cribellate silk, Rayleigh-instability-induced spindle-knot fibers are knitted for the fabrication of permeable and moisture-proof textile triboelectric sensors that hold a decent signal-to-noise ratio of 51.2 dB, a response time of 0.28 s, and a sensitivity of 0.46 V kPa-1 . With the assistance of deep learning, the on-mask sensor network can realize the respiration pattern recognition with a classification accuracy up to 100%, showing great improvement over a single respiratory sensor. Additionally, a customized user-friendly cellphone application is developed to connect the processed respiratory signals for real-time data-driven diagnosis and one-click health data sharing with the clinicians. The deep-learning-assisted on-mask sensor network opens a new avenue for personalized respiration management in the era of the Internet of Things.
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Affiliation(s)
- Yunsheng Fang
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Jing Xu
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Yongjiu Zou
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Xun Zhao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Yihao Zhou
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
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Wang B, Peng J, Yang K, Cheng H, Yin Y, Wang C. Multifunctional Textile Electronic with Sensing, Energy Storing, and Electrothermal Heating Capabilities. ACS APPLIED MATERIALS & INTERFACES 2022; 14:22497-22509. [PMID: 35522598 DOI: 10.1021/acsami.2c06701] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The development of wearable devices has stimulated significant engineering and technologies of textile electronics (TEs). Improving sensing, energy-storing, and electro-heating capabilities of TEs is still challenging but crucial for their practical applications. Herein, a drip-coating method that constructs a dense β-FeOOH scaffold on a nylon strip for enhancing polypyrrole loading is proposed, which facilitates the fabrication of highly conductive and hydrophobic PFCNS (polypyrrole/β-FeOOH/nylon strip). The space provided by the β-FeOOH scaffold increases the mass of polypyrrole on fibers from 1.1 (polypyrrole/nylon strip) to 3.0 mg cm-2 (polypyrrole/β-FeOOH/nylon strip), which decreases the resistance from 104.96 to 34.29 Ω cm-1. The PFCNS exhibits a linear elastic modulus of 0.758 MPa within 150% strain, performs a unique resistance variation mechanism, and enables great sensing capability with rapid response time (140 ms), long durability (10,000 stretching-recovering), and effective movement monitoring (e.g., breathing, back bending, jumping). The sensing signals for knee bending have been analyzed in detail by combining with both stretching and pressing response mechanisms. The PFCNS electrode attains a diffusion-controlled capacitance of 574 mF cm-2 and discharging-capacitance of 916 mF cm-2. Furthermore, an interdigitally parallel connection is proposed, which assists the PFCNS heater in achieving high temperature (84 °C) at a low voltage (4 V). This work provides a simple route for nylon-based TEs and promises satisfactory application in wearable sensors, power sources, and heaters.
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Affiliation(s)
- Bo Wang
- College of Textile Science and Engineering, Jiangnan University, Wuxi 214122, China
- Lash Miller Chemical Laboratories, Department of Chemistry, University of Toronto, Toronto, Ontario M5S 3H6, Canada
| | - Jun Peng
- College of Textile Science and Engineering, Jiangnan University, Wuxi 214122, China
| | - Kun Yang
- College of Textile Science and Engineering, Jiangnan University, Wuxi 214122, China
| | - Haonan Cheng
- College of Textile Science and Engineering, Jiangnan University, Wuxi 214122, China
| | - Yunjie Yin
- College of Textile Science and Engineering, Jiangnan University, Wuxi 214122, China
| | - Chaoxia Wang
- College of Textile Science and Engineering, Jiangnan University, Wuxi 214122, China
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Meng K, Xiao X, Wei W, Chen G, Nashalian A, Shen S, Xiao X, Chen J. Wearable Pressure Sensors for Pulse Wave Monitoring. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2109357. [PMID: 35044014 DOI: 10.1002/adma.202109357] [Citation(s) in RCA: 141] [Impact Index Per Article: 70.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 12/21/2021] [Indexed: 05/15/2023]
Abstract
Cardiovascular diseases remain the leading cause of death worldwide. The rapid development of flexible sensing technologies and wearable pressure sensors have attracted keen research interest and have been widely used for long-term and real-time cardiovascular status monitoring. Owing to compelling characteristics, including light weight, wearing comfort, and high sensitivity to pulse pressures, physiological pulse waveforms can be precisely and continuously monitored by flexible pressure sensors for wearable health monitoring. Herein, an overview of wearable pressure sensors for human pulse wave monitoring is presented, with a focus on the transduction mechanism, microengineering structures, and related applications in pulse wave monitoring and cardiovascular condition assessment. The conceptualizations and methods for the acquisition of physiological and pathological information related to the cardiovascular system are outlined. The biomechanics of arterial pulse waves and the working mechanism of various wearable pressure sensors, including triboelectric, piezoelectric, magnetoelastic, piezoresistive, capacitive, and optical sensors, are also subject to systematic debate. Exemple applications of pulse wave measurement based on microengineering structured devices are then summarized. Finally, a discussion of the opportunities and challenges that wearable pressure sensors face, as well as their potential as a wearable intelligent system for personalized healthcare is given in conclusion.
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Affiliation(s)
- Keyu Meng
- School of Electronic and Information Engineering Jilin Provincial Key Laboratory of Human Health Status Identification and Function Enhancement, Changchun University, Changchun, 130022, China
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California, 90095, USA
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California, 90095, USA
| | - Wenxin Wei
- Department of Anesthesiology, China Medical University, Shenyang, 110022, China
| | - Guorui Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California, 90095, USA
| | - Ardo Nashalian
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California, 90095, USA
| | - Sophia Shen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California, 90095, USA
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California, 90095, USA
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California, 90095, USA
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Zhao X, Chen G, Zhou Y, Nashalian A, Xu J, Tat T, Song Y, Libanori A, Xu S, Li S, Chen J. Giant Magnetoelastic Effect Enabled Stretchable Sensor for Self-Powered Biomonitoring. ACS NANO 2022; 16:6013-6022. [PMID: 35417654 DOI: 10.1021/acsnano.1c11350] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Interfacing with the human body, wearable and implantable bioelectronics are a compelling platform technology for healthcare monitoring and medical therapeutics. However, clinical adoption of these devices is largely shadowed by their weakness in humidity resistance, stretchability, durability, and biocompatibility. In this work, we report a self-powered waterproof biomechanical sensor with stretchability up to 440% using the giant magnetoelastic effect in a soft polymer system. By manipulating the magnetic dipole alignment, the sensor achieved a particularly broad sensing range from 3.5 Pa to 2000 kPa, with a response time of ∼3 ms. To validate the excellent performance of the magnetoelastic sensor in biomonitoring, both ex vivo porcine heart testing and in vivo rat model testing were performed for cardiovascular monitoring and heart disease diagnosis. With the obtained sensing data, we have successfully detected ventricular arrhythmia and ventricular fibrillation in the Sprague-Dawley rat model. Holding a collection of compelling features, including minimal hysteresis, ultrawide sensing range, waterproofness, and biocompatibility, the magnetoelastic sensor represents a unique platform technology for self-powered biomonitoring in both wearable and implantable manners.
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Affiliation(s)
- Xun Zhao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Guorui Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Yihao Zhou
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Ardo Nashalian
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Jing Xu
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Trinny Tat
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Yang Song
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Alberto Libanori
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Shili Xu
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California 90095, United States
- Crump Institute for Molecular Imaging, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California 90095, United States
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Song Li
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
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46
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An Overview of Hierarchical Design of Textile-Based Sensor in Wearable Electronics. CRYSTALS 2022. [DOI: 10.3390/cryst12040555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Smart textiles have recently aroused tremendous interests over the world because of their broad applications in wearable electronics, such as human healthcare, human motion detection, and intelligent robotics. Sensors are the primary components of wearable and flexible electronics, which convert various signals and external stimuli into electrical signals. While traditional electronic sensors based on rigid silicon wafers can hardly conformably attach on the human body, textile materials including fabrics, yarns, and fibers afford promising alternatives due to their characteristics including light weight, flexibility, and breathability. Of fundamental importance are the needs for fabrics simultaneously having high electrical and mechanical performance. This article focused on the hierarchical design of the textile-based flexible sensor from a structure point of view. We first reviewed the selection of newly developed functional materials for textile-based sensors, including metals, conductive polymers, carbon nanomaterials, and other two-dimensional (2D) materials. Then, the hierarchical structure design principles on different levels from microscale to macroscale were discussed in detail. Special emphasis was placed on the microstructure control of fibers, configurational engineering of yarn, and pattern design of fabrics. Finally, the remaining challenges toward industrialization and commercialization that exist to date were presented.
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Li J, Jiao L, Xiao X, Nashalian A, Mathur S, Zhu Z, Wu W, Guo W, Zhai Y, Lu X, Chen J. Flexible Prussian Blue‐Au Fibers as Robust Peroxidase‐Like Nanozymes for Wearable Hydrogen Peroxide and Uric Acid Monitoring. ELECTROANAL 2022. [DOI: 10.1002/elan.202200116] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | - Lei Jiao
- Central China Normal University CHINA
| | - Xiao Xiao
- University of California Los Angeles UNITED STATES
| | | | | | | | | | | | | | | | - Jun Chen
- University of California Los Angeles UNITED STATES
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Deng W, Zhou Y, Libanori A, Chen G, Yang W, Chen J. Piezoelectric nanogenerators for personalized healthcare. Chem Soc Rev 2022; 51:3380-3435. [PMID: 35352069 DOI: 10.1039/d1cs00858g] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The development of flexible piezoelectric nanogenerators has experienced rapid progress in the past decade and is serving as the technological foundation of future state-of-the-art personalized healthcare. Due to their highly efficient mechanical-to-electrical energy conversion, easy implementation, and self-powering nature, these devices permit a plethora of innovative healthcare applications in the space of active sensing, electrical stimulation therapy, as well as passive human biomechanical energy harvesting to third party power on-body devices. This article gives a comprehensive review of the piezoelectric nanogenerators for personalized healthcare. After a brief introduction to the fundamental physical science of the piezoelectric effect, material engineering strategies, device structural designs, and human-body centered energy harvesting, sensing, and therapeutics applications are also systematically discussed. In addition, the challenges and opportunities of utilizing piezoelectric nanogenerators for self-powered bioelectronics and personalized healthcare are outlined in detail.
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Affiliation(s)
- Weili Deng
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, USA. .,School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China.
| | - Yihao Zhou
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, USA.
| | - Alberto Libanori
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, USA.
| | - Guorui Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, USA.
| | - Weiqing Yang
- School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China.
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, USA.
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Liu B, Libanori A, Zhou Y, Xiao X, Xie G, Zhao X, Su Y, Wang S, Yuan Z, Duan Z, Liang J, Jiang Y, Tai H, Chen J. Simultaneous Biomechanical and Biochemical Monitoring for Self-Powered Breath Analysis. ACS APPLIED MATERIALS & INTERFACES 2022; 14:7301-7310. [PMID: 35076218 DOI: 10.1021/acsami.1c22457] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The high moisture level of exhaled gases unavoidably limits the sensitivity of breath analysis via wearable bioelectronics. Inspired by pulmonary lobe expansion/contraction observed during respiration, a respiration-driven triboelectric sensor (RTS) was devised for simultaneous respiratory biomechanical monitoring and exhaled acetone concentration analysis. A tin oxide-doped polyethyleneimine membrane was devised to play a dual role as both a triboelectric layer and an acetone sensing material. The prepared RTS exhibited excellent ability in measuring respiratory flow rate (2-8 L/min) and breath frequency (0.33-0.8 Hz). Furthermore, the RTS presented good performance in biochemical acetone sensing (2-10 ppm range at high moisture levels), which was validated via finite element analysis. This work has led to the development of a novel real-time active respiratory monitoring system and strengthened triboelectric-chemisorption coupling sensing mechanism.
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Affiliation(s)
- Bohao Liu
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China
| | - Alberto Libanori
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Yihao Zhou
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Guangzhong Xie
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China
| | - Xun Zhao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Yuanjie Su
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China
| | - Si Wang
- Institute of Optoelectronic Technology, Chinese Academy of Sciences, Chengdu 610209, P. R. China
| | - Zhen Yuan
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China
| | - Zaihua Duan
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China
| | - Junge Liang
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China
| | - Yadong Jiang
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China
| | - Huiling Tai
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
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50
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Wei Q, Chen G, Pan H, Ye Z, Au C, Chen C, Zhao X, Zhou Y, Xiao X, Tai H, Jiang Y, Xie G, Su Y, Chen J. MXene-Sponge Based High-Performance Piezoresistive Sensor for Wearable Biomonitoring and Real-Time Tactile Sensing. SMALL METHODS 2022; 6:e2101051. [PMID: 35174985 DOI: 10.1002/smtd.202101051] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 11/10/2021] [Indexed: 06/14/2023]
Abstract
Electrode microfabrication technologies such as lithography and deposition have been widely applied in wearable electronics to boost interfacial coupling efficiency and device performance. However, a majority of these approaches are restricted by expensive and complicated processing techniques, as well as waste discharge. Here, helium plasma irradiation is employed to yield a molybdenum microstructured electrode, which is constructed into a flexible piezoresistive pressure sensor based on a Ti3 C2 Tx nanosheet-immersed polyurethane sponge. This electrode engineering strategy enables the smooth transition between sponge deformation and MXene interlamellar displacement, giving rise to high sensitivity (1.52 kPa-1 ) and good linearity (r2 = 0.9985) in a wide sensing range (0-100 kPa) with a response time of 226 ms for pressure detection. In addition, both the experimental characterization and finite element simulation confirm that the hierarchical structures modulated by pore size, plasma bias, and MXene concentration play a crucial role in improving the sensing performance. Furthermore, the as-developed flexible pressure sensor is demonstrated to measure human radial pulse, detect finger tapping, foot stomping, and perform object identification, revealing great feasibility in wearable biomonitoring and health assessment.
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Affiliation(s)
- Qikun Wei
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Guorui Chen
- Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA
| | - Hong Pan
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Zongbiao Ye
- Institute of Nuclear Science and Technology, Sichuan University, Chengdu, 610064, China
| | - Christian Au
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Chunxu Chen
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Xun Zhao
- Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA
| | - Yihao Zhou
- Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA
| | - Huiling Tai
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Yadong Jiang
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Guangzhong Xie
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Yuanjie Su
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA
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