1
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Zhou S, Cai M, Wang X, Hu W, Fu Z, Gong J, Zhang C, Xu W, Xia L. An integrated textile of electrical signal sensing with visual indicators and energy supply for perspiration management. Biosens Bioelectron 2024; 267:116794. [PMID: 39326321 DOI: 10.1016/j.bios.2024.116794] [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: 07/01/2024] [Revised: 08/31/2024] [Accepted: 09/16/2024] [Indexed: 09/28/2024]
Abstract
Recent advances in wearable electronics have enabled the development of sweat sensors providing valuable information for healthcare monitoring. However, the limitations of sweat sensors are excessive dependence on external detection systems, the impossible to real-time visual signal transmission, and inadequate perspiration management. Herein, a single- and double-layer interwoven fabric (SDIF) is designed to achieve indicators of color visualization with an output of electrical signal and energy supply. After absorption of electrolyte, the SDIF can be rapidly activated, connected with the concentration, infiltrated volume, and environmental parameters, and the variational color of SDIF can provide visual indicators. The one tissue cycle of SDIF with three-weft intervals maintains a stable output voltage of ≈1.0 V, conducted by twisting, folding, dynamic bending, and reusing. Moreover, serial tissue cycles can be woven into large fabrics by connecting in series and parallel configurations for energy supply. The developed SDIF with an interweaving structural design using industrial-producible weaving technology provides the functionality of sweat adsorption and transportation, monitoring by recognition of color, and electrical signals to improve perspiration management.
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Affiliation(s)
- Sijie Zhou
- College of Textiles, Donghua University, Shanghai, 201620, China
| | - Mengyao Cai
- State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan, 430200, China
| | - Xiaofeng Wang
- State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan, 430200, China
| | - Wanjin Hu
- State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan, 430200, China
| | - Zhuan Fu
- State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan, 430200, China; College of Textile Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, China
| | - Junyao Gong
- State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan, 430200, China; School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, 200237, China
| | - Chunhua Zhang
- State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan, 430200, China
| | - Weilin Xu
- State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan, 430200, China.
| | - Liangjun Xia
- State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan, 430200, China.
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2
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Wu X, Liu Q, Zheng L, Lin S, Zhang Y, Song Y, Wang Z. Innervate Commercial Fabrics with Spirally-Layered Iontronic Fibrous Sensors Toward Dual-Functional Smart Garments. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2402767. [PMID: 38953387 PMCID: PMC11434216 DOI: 10.1002/advs.202402767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Revised: 05/28/2024] [Indexed: 07/04/2024]
Abstract
Electronic fabrics exhibit desirable breathability, wearing comfort, and easy integration with garments. However, surficial deposition of electronically functional materials/compounds onto fabric substrates would consequentially alter their intrinsic properties (e.g., softness, permeability, biocompatibility, etc.). To address this issue, here, a strategy to innervate arbitrary commercial fabrics with unique spirally-layered iontronic fibrous (SLIF) sensors is presented to realize both mechanical and thermal sensing functionalities without sacrificing the intrinsic fabric properties. The mechanical sensing function is realized via mechanically regulating the interfacial ionic supercapacitance between two perpendicular SLIF sensors, while the thermal sensing function is achieved based on thermally modulating the intrinsic ionic impedance in a single SLIF sensor. The resultant SLIF sensor-innervated electronic fabrics exhibit high mechanical sensitivity of 81 N-1, superior thermal sensitivity of 34,400 Ω °C-1, and more importantly, greatly minimized mutual interference between the two sensing functions. As demonstrations, various smart garments are developed for the precise monitoring of diverse human physiological signals. Moreover, artificial intelligence-assisted object recognition with high-accuracy (97.8%) is demonstrated with a SLIF sensor-innervated smart glove. This work opens up a new path toward the facile construction of versatile smart garments for wearable healthcare, human-machine interfaces, and the Internet of Things.
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Affiliation(s)
- Xiaodong Wu
- School of Mechanical Engineering, Sichuan University, Chengdu, 610065, China
| | - Qi Liu
- School of Mechanical Engineering, Sichuan University, Chengdu, 610065, China
| | - Lifei Zheng
- School of Mechanical Engineering, Sichuan University, Chengdu, 610065, China
| | - Sijian Lin
- School of Mechanical Engineering, Sichuan University, Chengdu, 610065, China
| | - Yiqun Zhang
- School of Mechanical Engineering, Sichuan University, Chengdu, 610065, China
| | - Yangyang Song
- School of Mechanical Engineering, Sichuan University, Chengdu, 610065, China
| | - Zhuqing Wang
- School of Mechanical Engineering, Sichuan University, Chengdu, 610065, China
- Med+X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu, 610041, China
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3
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Xiao X, Yin J, Xu J, Tat T, Chen J. Advances in Machine Learning for Wearable Sensors. ACS NANO 2024; 18:22734-22751. [PMID: 39145724 DOI: 10.1021/acsnano.4c05851] [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: 08/16/2024]
Abstract
Recent years have witnessed tremendous advances in machine learning techniques for wearable sensors and bioelectronics, which play an essential role in real-time sensing data analysis to provide clinical-grade information for personalized healthcare. To this end, supervised learning and unsupervised learning algorithms have emerged as powerful tools, allowing for the detection of complex patterns and relationships in large, high-dimensional data sets. In this Review, we aim to delineate the latest advancements in machine learning for wearable sensors, focusing on key developments in algorithmic techniques, applications, and the challenges intrinsic to this evolving landscape. Additionally, we highlight the potential of machine-learning approaches to enhance the accuracy, reliability, and interpretability of wearable sensor data and discuss the opportunities and limitations of this emerging field. Ultimately, our work aims to provide a roadmap for future research endeavors in this exciting and rapidly evolving area.
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Affiliation(s)
- Xiao Xiao
- 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
| | - 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
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
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4
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Li Z, Liu Z, Xu S, Zhang K, Zhao D, Pi Y, Guan X, Peng Z, Zhong Q, Zhong J. Electrostatic Smart Textiles for Braille-To-Speech Translation. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2313518. [PMID: 38502121 DOI: 10.1002/adma.202313518] [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: 12/11/2023] [Revised: 02/25/2024] [Indexed: 03/20/2024]
Abstract
A wearable Braille-to-speech translation system is of great importance for providing auditory feedback in assisting blind people and people with speech impairment. However, previous reported Braille-to-speech translation systems still need to be improved in terms of comfortability or integration. Here, a Braille-to-speech translation system that uses dual-functional electrostatic transducers which are made of fabric-based materials and can be integrated into textiles is reported. Based on electrostatic induction, the electrostatic transducer can either serve as a tactile sensor or a loudspeaker with the same design. The proposed electrostatic transducers have excellent output performances, mechanical robustness, and working stability. By combining the devices with machine learning algorithms, it is possible to translate the Braille alphabet and 40 commonly used words (extensible) into speech with an accuracy of 99.09% and 97.08%, respectively. This work demonstrates a new approach for further developments of advanced assistive technology toward improving the lives of disabled people.
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Affiliation(s)
- Zhaoyang Li
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
| | - Zhe Liu
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
| | - Sumei Xu
- School of Microelectronics, Shanghai University, Shanghai, 201800, China
| | - Kaijun Zhang
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
| | - Dazhe Zhao
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
| | - Yucong Pi
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
| | - Xiao Guan
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
| | - Zhengchun Peng
- School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Qize Zhong
- School of Microelectronics, Shanghai University, Shanghai, 201800, China
| | - Junwen Zhong
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
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5
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Zhang K, Shi X, Jiang H, Zeng K, Zhou Z, Zhai P, Zhang L, Peng H. Design and fabrication of wearable electronic textiles using twisted fiber-based threads. Nat Protoc 2024; 19:1557-1589. [PMID: 38429518 DOI: 10.1038/s41596-024-00956-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 11/29/2023] [Indexed: 03/03/2024]
Abstract
Mono-dimensional fiber-based electronics can effectively address the growing demand for improved wearable electronic devices because of their exceptional flexibility and stretchability. For practical applications, functional fiber electronic devices need to be integrated into more powerful and versatile systems to execute complex tasks that cannot be completed by single-fiber devices. Existing techniques, such as printing and sintering, reduce the flexibility and cause low connection strength of fiber-based electronic devices because of the high curvature of the fiber. Here, we outline a twisting fabrication process for fiber electrodes, which can be woven into functional threads and integrated within textiles. The design of the twisted thread structure for fiber devices ensures stable interfacing and good flexibility, while the textile structure features easily accessible, interlaced points for efficient circuit connections. Electronic textiles can be customized to act as displays, health monitors and power sources. We detail three main fabrication sections, including the fabrication of the fiber electrodes, their twisting into electronic threads and their assembly into functional textile-based devices. The procedures require ~10 d and are easily reproducible by researchers with expertise in fabricating energy and electronic devices.
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Affiliation(s)
- Kailin Zhang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, China
| | - Xiang Shi
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, China
| | - Haibo Jiang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, China
| | - Kaiwen Zeng
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, China
| | - Zihao Zhou
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, China
| | - Peng Zhai
- The Institute of AI and Robotics, Fudan University, Shanghai, China
| | - Lihua Zhang
- The Institute of AI and Robotics, Fudan University, Shanghai, China
- Ji Hua Laboratory, Foshan, Guangdong, China
| | - Huisheng Peng
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, China.
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6
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Lin S, Yang W, Zhu X, Lan Y, Li K, Zhang Q, Li Y, Hou C, Wang H. Triboelectric micro-flexure-sensitive fiber electronics. Nat Commun 2024; 15:2374. [PMID: 38490979 PMCID: PMC10943239 DOI: 10.1038/s41467-024-46516-0] [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: 07/12/2023] [Accepted: 02/29/2024] [Indexed: 03/18/2024] Open
Abstract
Developing fiber electronics presents a practical approach for establishing multi-node distributed networks within the human body, particularly concerning triboelectric fibers. However, realizing fiber electronics for monitoring micro-physiological activities remains challenging due to the intrinsic variability and subtle amplitude of physiological signals, which differ among individuals and scenarios. Here, we propose a technical approach based on a dynamic stability model of sheath-core fibers, integrating a micro-flexure-sensitive fiber enabled by nanofiber buckling and an ion conduction mechanism. This scheme enhances the accuracy of the signal transmission process, resulting in improved sensitivity (detectable signal at ultra-low curvature of 0.1 mm-1; flexure factor >21.8% within a bending range of 10°.) and robustness of fiber under micro flexure. In addition, we also developed a scalable manufacturing process and ensured compatibility with modern weaving techniques. By combining precise micro-curvature detection, micro-flexure-sensitive fibers unlock their full potential for various subtle physiological diagnoses, particularly in monitoring fiber upper limb muscle strength for rehabilitation and training.
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Affiliation(s)
- Shaomei Lin
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, P. R. China
| | - Weifeng Yang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, P. R. China
| | - Xubin Zhu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, P. R. China
| | - Yubin Lan
- School of Software, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China
| | - Kerui Li
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, P. R. China
| | - Qinghong Zhang
- Engineering Research Center of Advanced Glasses Manufacturing Technology, Ministry of Education, Donghua University, Shanghai, 201620, P. R. China
| | - Yaogang Li
- Engineering Research Center of Advanced Glasses Manufacturing Technology, Ministry of Education, Donghua University, Shanghai, 201620, P. R. China
| | - Chengyi Hou
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, P. R. China.
| | - Hongzhi Wang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, P. R. China.
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7
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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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8
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Cao J, Wu B, Yuan P, Liu Y, Hu C. Progress of Research on Conductive Hydrogels in Flexible Wearable Sensors. Gels 2024; 10:144. [PMID: 38391474 PMCID: PMC10887588 DOI: 10.3390/gels10020144] [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: 01/25/2024] [Revised: 02/05/2024] [Accepted: 02/10/2024] [Indexed: 02/24/2024] Open
Abstract
Conductive hydrogels, characterized by their excellent conductivity and flexibility, have attracted widespread attention and research in the field of flexible wearable sensors. This paper reviews the application progress, related challenges, and future prospects of conductive hydrogels in flexible wearable sensors. Initially, the basic properties and classifications of conductive hydrogels are introduced. Subsequently, this paper discusses in detail the specific applications of conductive hydrogels in different sensor applications, such as motion detection, medical diagnostics, electronic skin, and human-computer interactions. Finally, the application prospects and challenges are summarized. Overall, the exceptional performance and multifunctionality of conductive hydrogels make them one of the most important materials for future wearable technologies. However, further research and innovation are needed to overcome the challenges faced and to realize the wider application of conductive hydrogels in flexible sensors.
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Affiliation(s)
- Juan Cao
- School of Fashion and Design Art, Sichuan Normal University, Chengdu 610066, China
| | - Bo Wu
- School of Mechanical Engineering, Sichuan University, Chengdu 610065, China
| | - Ping Yuan
- School of Mechanical Engineering, Chengdu University, Chengdu 610106, China
| | - Yeqi Liu
- School of Mechanical Engineering, Sichuan University, Chengdu 610065, China
| | - Cheng Hu
- National Engineering Research Center for Biomaterials, College of Biomedical Engineering, Sichuan University, Chengdu 610065, China
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9
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Yang N, Song W, Xiao Y, Xia M, Xiao L, Li T, Zhang Z, Yu N, Zhang X. Minimum Minutes Machine-Learning Microfluidic Microbe Monitoring Method (M7). ACS NANO 2024; 18:4862-4870. [PMID: 38231040 DOI: 10.1021/acsnano.3c09733] [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: 01/18/2024]
Abstract
Frequent outbreaks of viral diseases have brought substantial negative impacts on society and the economy, and they are very difficult to detect, as the concentration of viral aerosols in the air is low and the composition is complex. The traditional detection method is manually collection and re-detection, being cumbersome and time-consuming. Here we propose a virus aerosol detection method based on microfluidic inertial separation and spectroscopic analysis technology to rapidly and accurately detect aerosol particles in the air. The microfluidic chip is designed based on the principles of inertial separation and laminar flow characteristics, resulting in an average separation efficiency of 95.99% for 2 μm particles. We build a microfluidic chip composite spectrometer detection platform to capture the spectral information on aerosol particles dynamically. By employing machine-learning techniques, we can accurately classify different types of aerosol particles. The entire experiment took less than 30 min as compared with hours by PCR detection. Furthermore, our model achieves an accuracy of 97.87% in identifying virus aerosols, which is comparable to the results obtained from PCR detection.
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Affiliation(s)
- Ning Yang
- School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Wei Song
- School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Yi Xiao
- School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Muming Xia
- School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Lizhi Xiao
- School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Tongge Li
- School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Zhaoyuan Zhang
- School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Ni Yu
- School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Xingcai Zhang
- School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
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10
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Olyanasab A, Annabestani M. Leveraging Machine Learning for Personalized Wearable Biomedical Devices: A Review. J Pers Med 2024; 14:203. [PMID: 38392636 PMCID: PMC10890129 DOI: 10.3390/jpm14020203] [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: 12/31/2023] [Revised: 01/29/2024] [Accepted: 02/11/2024] [Indexed: 02/24/2024] Open
Abstract
This review investigates the convergence of artificial intelligence (AI) and personalized health monitoring through wearable devices, classifying them into three distinct categories: bio-electrical, bio-impedance and electro-chemical, and electro-mechanical. Wearable devices have emerged as promising tools for personalized health monitoring, utilizing machine learning to distill meaningful insights from the expansive datasets they capture. Within the bio-electrical category, these devices employ biosignal data, such as electrocardiograms (ECGs), electromyograms (EMGs), electroencephalograms (EEGs), etc., to monitor and assess health. The bio-impedance and electro-chemical category focuses on devices measuring physiological signals, including glucose levels and electrolytes, offering a holistic understanding of the wearer's physiological state. Lastly, the electro-mechanical category encompasses devices designed to capture motion and physical activity data, providing valuable insights into an individual's physical activity and behavior. This review critically evaluates the integration of machine learning algorithms within these wearable devices, illuminating their potential to revolutionize healthcare. Emphasizing early detection, timely intervention, and the provision of personalized lifestyle recommendations, the paper outlines how the amalgamation of advanced machine learning techniques with wearable devices can pave the way for more effective and individualized healthcare solutions. The exploration of this intersection promises a paradigm shift, heralding a new era in healthcare innovation and personalized well-being.
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Affiliation(s)
- Ali Olyanasab
- Institute for Integrated Circuits, Johannes Kepler University Linz, 4040 Linz, Austria
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11
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Wang P, Ma X, Lin Z, Chen F, Chen Z, Hu H, Xu H, Zhang X, Shi Y, Huang Q, Lin Y, Zheng Z. Well-defined in-textile photolithography towards permeable textile electronics. Nat Commun 2024; 15:887. [PMID: 38291087 PMCID: PMC10828459 DOI: 10.1038/s41467-024-45287-y] [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: 09/18/2023] [Accepted: 01/16/2024] [Indexed: 02/01/2024] Open
Abstract
Textile-based wearable electronics have attracted intensive research interest due to their excellent flexibility and breathability inherent in the unique three-dimensional porous structures. However, one of the challenges lies in achieving highly conductive patterns with high precision and robustness without sacrificing the wearing comfort. Herein, we developed a universal and robust in-textile photolithography strategy for precise and uniform metal patterning on porous textile architectures. The as-fabricated metal patterns realized a high precision of sub-100 µm with desirable mechanical stability, washability, and permeability. Moreover, such controllable coating permeated inside the textile scaffold contributes to the significant performance enhancement of miniaturized devices and electronics integration through both sides of the textiles. As a proof-of-concept, a fully integrated in-textiles system for multiplexed sweat sensing was demonstrated. The proposed method opens up new possibilities for constructing multifunctional textile-based flexible electronics with reliable performance and wearing comfort.
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Affiliation(s)
- Pengwei Wang
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, China
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Xiaohao Ma
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, China
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Zhiqiang Lin
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Fan Chen
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Zijian Chen
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Hong Hu
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Hailong Xu
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Xinyi Zhang
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yuqing Shi
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, China
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Qiyao Huang
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, China.
- Research Institute for Intelligent Wearable Systems, The Hong Kong Polytechnic University, Hong Kong SAR, China.
| | - Yuanjing Lin
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China.
| | - Zijian Zheng
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, China.
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong SAR, China.
- Research Institute for Intelligent Wearable Systems, The Hong Kong Polytechnic University, Hong Kong SAR, China.
- Research Institute for Smart Energy, The Hong Kong Polytechnic University, Hong Kong SAR, China.
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12
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Liang J, Ding L, Yu Z, Zhang X, Chen S, Wang Y. Smart and programmed thermo-wetting yarns for scalable and customizable moisture/heat conditioning textiles. J Colloid Interface Sci 2023; 651:612-621. [PMID: 37562303 DOI: 10.1016/j.jcis.2023.08.013] [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: 05/05/2023] [Revised: 07/30/2023] [Accepted: 08/02/2023] [Indexed: 08/12/2023]
Abstract
Programmable smart textiles with adaptive moisture/heat conditioning (MHC) capabilities are globally being sought to meet the requirements of comfort, energy efficiency, and health protection. However, a universal strategy for fabricating truly scalable and customizable MHC textiles is lacking. In this study, we introduce a scalable in situ grafting approach for the continuous fabrication of two series of smart textile yarns with opposite thermoresponsive wetting behaviors. In particular, the wetting transition temperature can be precisely programmed by adjusting the grafting formula, making the yarns highly customizable. The smart yarns demonstrated excellent mechanical strength, whiteness, weavability, biocompatibility, and washability (with more than 60 home washes), comparable to those of regular textile yarns. They can serve as building blocks independently or in combination to create smart textiles with adaptive sweat wicking and intelligent moisture/heat regulation capabilities. A proposed hybrid textile integrating both the two series of smart yarns can offer dry-contact and cooling/keep-warming effects of approximately 1.6/2.8 °C, respectively, in response to changes in ambient temperature. Our method provides a rich array of design options for nonpowered MHC textiles while maintaining a balance between traditional wearing conventions and large-scale production.
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Affiliation(s)
- Jiechang Liang
- College of Materials Science and Engineering, Shenzhen University, Shenzhen 518060, PR China
| | - Lei Ding
- College of Materials Science and Engineering, Shenzhen University, Shenzhen 518060, PR China
| | - Zilin Yu
- College of Materials Science and Engineering, Shenzhen University, Shenzhen 518060, PR China
| | - Xingcai Zhang
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, United States
| | - Shiguo Chen
- College of Materials Science and Engineering, Shenzhen University, Shenzhen 518060, PR China
| | - Yuanfeng Wang
- College of Materials Science and Engineering, Shenzhen University, Shenzhen 518060, PR China.
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13
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Zhou X, Wang Z, Xiong T, He B, Wang Z, Zhang H, Hu D, Liu Y, Yang C, Li Q, Chen M, Zhang Q, Wei L. Fiber Crossbars: An Emerging Architecture of Smart Electronic Textiles. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2300576. [PMID: 37042804 DOI: 10.1002/adma.202300576] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 03/18/2023] [Indexed: 06/19/2023]
Abstract
Smart wearables have a significant impact on people's daily lives, enabling personalized motion monitoring, realizing the Internet of Things, and even reshaping the next generation of telemedicine systems. Fiber crossbars (FCs), constructed by crossing two fibers, have become an emerging architecture among the accessible structures of state-of-the-art smart electronic textiles. The mechanical, chemical, and electrical interactions between crossing fibers result in extensive functionalities, leading to the significant development of innovative electronic textiles employing FCs as their basic units. This review provides a timely and comprehensive overview of the structure designs, material selections, and assembly techniques of FC-based devices. The recent advances in FC-based devices are summarized, including multipurpose sensing, multiple-mode computing, high-resolution display, high-efficient power supply, and large-scale textile systems. Finally, current challenges, potential solutions, and future perspectives for FC-based systems are discussed for their further development in scale-up production and commercial applications.
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Affiliation(s)
- Xuhui Zhou
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Zhe Wang
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Ting Xiong
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Bing He
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Zhixun Wang
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Haozhe Zhang
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Dongmei Hu
- Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, P. R. China
| | - Yanting Liu
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Chunlei Yang
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, P. R. China
| | - Qingwen Li
- Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, P. R. China
| | - Ming Chen
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, P. R. China
| | - Qichong Zhang
- Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, P. R. China
| | - Lei Wei
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
- The Institute for Digital Molecular Analytics and Science (IDMxS), Nanyang Technological University, 59 Nanyang Drive, Singapore, 636921, Singapore
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14
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Cao M, Diao N, Cai X, Chen X, Xiao Y, Guo C, Chen D, Zhang X. Plant exosome nanovesicles (PENs): green delivery platforms. MATERIALS HORIZONS 2023; 10:3879-3894. [PMID: 37671650 DOI: 10.1039/d3mh01030a] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/07/2023]
Abstract
Natural plants have been attracting increasing attention in biomedical research due to their numerous benefits. Plant exosome-derived vesicles, some of the plant's components, are small nanoscale vesicles secreted by plant cells. These vesicles are rich in bioactive substances and play significant roles in intercellular communication, information transfer, and maintaining homeostasis in organisms. They also hold promise for treating diseases, and their vesicular structures make them suitable carriers for drug delivery, with large-scale production feasible. Therefore, this paper aims to provide an overview of nanovesicles from different plant sources and their extraction methods. We also outline the biological activities of nanovesicles, including their anti-inflammatory, anti-viral, and anti-tumor properties, and systematically introduce their applications in drug delivery. These applications include transdermal delivery, targeted drug delivery, gene delivery, and their potential use in the modern food industry. This review provides new ideas and methods for future research on plant exosomes, including their empowerment by artificial intelligence and gene editing, as well as their potential application in the biomedicine, food, and agriculture industries.
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Affiliation(s)
- Min Cao
- Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs, School of Pharmacy, Yantai University, Yantai 264005, P. R. China.
| | - Ningning Diao
- Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs, School of Pharmacy, Yantai University, Yantai 264005, P. R. China.
| | - Xiaolu Cai
- Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Xing Chen
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
| | - Yi Xiao
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
| | - Chunjing Guo
- College of Marine Life Science, Ocean University of China, 5# Yushan 10 Road, Qingdao 266003, P. R. China.
| | - Daquan Chen
- Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs, School of Pharmacy, Yantai University, Yantai 264005, P. R. China.
| | - Xingcai Zhang
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
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15
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Xue J, Li Y, Jiang M, Wu J, Zhou H, Zhang N, Yang S, Tao C, Zhang W, Fan X. Active Micelle Pumping Channel Triggers Nonequilibrium Surface Excess Aggregation. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2023; 39:12260-12269. [PMID: 37582181 DOI: 10.1021/acs.langmuir.3c01716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/17/2023]
Abstract
Adsorbate transport during the electrochemical process mostly follows the electric-field direction or the high-to-low direction along the concentration gradient and thus often limits the reactant concentration at the adsorption site and requires specific mechanical or chemical bonds of adsorbates to trigger local excess aggregation for advanced framework structure assembly. Herein, we have discovered an active pumping channel during electrochemical adsorption of a manganese colloid, which follows a low-to-high direction inverse concentration gradient. It triggers surface excess micelle aggregation with even over 16-folds higher concentration than that in bulk owing to hydrogen-bonding difference of the micelle surface between in bulk and at the water surface. Micelles in the channel exhibit unique polymerization behaviors by directly polymerizing monomer micelles to form highly catalytic MnO2 of dendritic frameworks, which can serve as a scalable thin-layer aqueous-phase reactor. It increases the understanding of the interface-dependent dynamic nature of micelle or more adsorbates and inspires transformative synthesizing approaches for advanced oxide materials.
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Affiliation(s)
- Jie Xue
- College of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, China
| | - Yuzhou Li
- Stomatological Hospital of Chongqing Medical University, Chongqing 401147, China
| | - Min Jiang
- College of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, China
| | - Jiaye Wu
- College of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, China
| | - Huang Zhou
- Department of Chemistry School of Pharmacy, North Sichuan Medical College, Nanchong 637100, China
| | - Nannan Zhang
- College of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, China
| | - Sheng Yang
- Stomatological Hospital of Chongqing Medical University, Chongqing 401147, China
| | - Changyuan Tao
- College of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, China
| | - Wei Zhang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Xing Fan
- College of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, China
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16
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Liao Q, Si W, Zhang J, Sun H, Qin L. In Situ Silver Nanonets for Flexible Stretchable Electrodes. Int J Mol Sci 2023; 24:ijms24119319. [PMID: 37298270 DOI: 10.3390/ijms24119319] [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: 04/13/2023] [Revised: 05/14/2023] [Accepted: 05/23/2023] [Indexed: 06/12/2023] Open
Abstract
Shape-controlled synthesis is an effective method for controlling the physicochemical properties of nanomaterials, especially single-crystal nanomaterials, but it is difficult to control the morphology of single-crystal metallic nanomaterials. Silver nanowires (AgNWs) are regarded as key materials for the new generation of human-computer interaction, which can be applied in large-scale flexible and foldable devices, large-size touch screens, transparent LED films, photovoltaic cells, etc. When used on a large scale, the junction resistance will be generated at the overlap between AgNWs and the conductivity will decrease. When stretched, the overlap of AgNWs will be easily disconnected, which will lead to a decrease in electrical conductivity or even system failure. We propose that in situ silver nanonets (AgNNs) can solve the above two problems. The AgNNs exhibited excellent electrical conductivity (0.15 Ω∙sq-1, which was 0.2 Ω∙sq-1 lower than the 0.35 Ω∙sq-1 square resistance of AgNWs) and extensibility (the theoretical tensile rate was 53%). In addition to applications in flexible stretchable sensing and display industries, they also have the potential to be used as plasmonic materials in molecular recognition, catalysis, biomedicine and other fields.
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Affiliation(s)
- Qingwei Liao
- Key Laboratory of Sensors, Beijing Information Science & Technology University, Beijing 100192, China
- Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science & Technology University, Beijing 100192, China
- Key Laboratory of Photoelectric Testing Technology, Beijing Information Science & Technology University, Beijing 100192, China
| | - Wei Si
- Key Laboratory of Sensors, Beijing Information Science & Technology University, Beijing 100192, China
| | - Jingxin Zhang
- Key Laboratory of Sensors, Beijing Information Science & Technology University, Beijing 100192, China
| | - Hanchen Sun
- Key Laboratory of Sensors, Beijing Information Science & Technology University, Beijing 100192, China
| | - Lei Qin
- Key Laboratory of Sensors, Beijing Information Science & Technology University, Beijing 100192, China
- Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science & Technology University, Beijing 100192, China
- Key Laboratory of Photoelectric Testing Technology, Beijing Information Science & Technology University, Beijing 100192, China
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17
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Shao W, Cui T, Li D, Jian J, Li Z, Ji S, Cheng A, Li X, Liu K, Liu H, Yang Y, Ren T. Carbon-Based Textile Sensors for Physiological-Signal Monitoring. MATERIALS (BASEL, SWITZERLAND) 2023; 16:ma16113932. [PMID: 37297066 DOI: 10.3390/ma16113932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/16/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023]
Abstract
As the focus on physical health increases, the market demand for flexible wearable sensors increases. Textiles combined with sensitive materials and electronic circuits can form flexible, breathable high-performance sensors for physiological-signal monitoring. Carbon-based materials such as graphene, carbon nanotubes (CNTs), and carbon black (CB) have been widely utilized in the development of flexible wearable sensors due to their high electrical conductivity, low toxicity, low mass density, and easy functionalization. This review provides an overview of recent advancements in carbon-based flexible textile sensors, highlighting the development, properties, and applications of graphene, CNTs, and CB for flexible textile sensors. The physiological signals that can be monitored by carbon-based textile sensors include electrocardiogram (ECG), human body movement, pulse and respiration, body temperature, and tactile perception. We categorize and describe carbon-based textile sensors based on the physiological signals they monitor. Finally, we discuss the current challenges associated with carbon-based textile sensors and explore the future direction of textile sensors for monitoring physiological signals.
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Affiliation(s)
- Wancheng Shao
- School of Integrated Circuit, Tsinghua University, Beijing 100084, China
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Tianrui Cui
- School of Integrated Circuit, Tsinghua University, Beijing 100084, China
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Ding Li
- School of Integrated Circuit, Tsinghua University, Beijing 100084, China
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Jinming Jian
- School of Integrated Circuit, Tsinghua University, Beijing 100084, China
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Zhen Li
- School of Integrated Circuit, Tsinghua University, Beijing 100084, China
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Shourui Ji
- School of Integrated Circuit, Tsinghua University, Beijing 100084, China
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Aobo Cheng
- School of Integrated Circuit, Tsinghua University, Beijing 100084, China
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Xinyue Li
- School of Integrated Circuit, Tsinghua University, Beijing 100084, China
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Kaiyin Liu
- School of Integrated Circuit, Tsinghua University, Beijing 100084, China
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Houfang Liu
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Yi Yang
- School of Integrated Circuit, Tsinghua University, Beijing 100084, China
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Tianling Ren
- School of Integrated Circuit, Tsinghua University, Beijing 100084, China
- Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
- Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
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18
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Qu Z, Zhu Z, Liu Y, Yu M, Ye TT. Parasitic capacitance modeling and measurements of conductive yarns for e-textile devices. Nat Commun 2023; 14:2785. [PMID: 37188687 DOI: 10.1038/s41467-023-38319-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 04/24/2023] [Indexed: 05/17/2023] Open
Abstract
Conductive yarns have emerged as a viable alternative to metallic wires in e-Textile devices, such as antennas, inductors, interconnects, and more, which are integral components of smart clothing applications. But the parasitic capacitance induced by their micro-structure has not been fully understood. This capacitance greatly affects device performance in high-frequency applications. We propose a lump-sum and turn-to-turn model of an air-core helical inductor constructed from conductive yarns, and systematically analyze and quantify the parasitic elements of conductive yarns. Using three commercial conductive yarns as examples, we compare the frequency response of copper-based and yarn-based inductors with identical structures to extract the parasitic capacitance. Our measurements show that the unit-length parasitic capacitance of commercial conductive yarns ranges from 1 fF/cm to 3 fF/cm, depending on the yarn's microstructure. These measurements offer significant quantitative estimation of conductive yarn parasitic elements and provide valuable design and characterization guidelines for e-Textile devices.
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Affiliation(s)
- Ziqi Qu
- Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
- Department of Nanotechnology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Zhechen Zhu
- Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
- Department of Electrical Engineering, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Yulong Liu
- Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
- Department of Applied Physics, The Hong Kong Polytechnic University, Hong Kong, China
| | - Mengxia Yu
- Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
| | - Terry Tao Ye
- Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
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19
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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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20
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Meena JS, Choi SB, Jung SB, Kim JW. Electronic textiles: New age of wearable technology for healthcare and fitness solutions. Mater Today Bio 2023; 19:100565. [PMID: 36816602 PMCID: PMC9932217 DOI: 10.1016/j.mtbio.2023.100565] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Revised: 01/25/2023] [Accepted: 01/25/2023] [Indexed: 01/30/2023] Open
Abstract
Sedentary lifestyles and evolving work environments have created challenges for global health and cause huge burdens on healthcare and fitness systems. Physical immobility and functional losses due to aging are two main reasons for noncommunicable disease mortality. Smart electronic textiles (e-textiles) have attracted considerable attention because of their potential uses in health monitoring, rehabilitation, and training assessment applications. Interactive textiles integrated with electronic devices and algorithms can be used to gather, process, and digitize data on human body motion in real time for purposes such as electrotherapy, improving blood circulation, and promoting wound healing. This review summarizes research advances on e-textiles designed for wearable healthcare and fitness systems. The significance of e-textiles, key applications, and future demand expectations are addressed in this review. Various health conditions and fitness problems and possible solutions involving the use of multifunctional interactive garments are discussed. A brief discussion of essential materials and basic procedures used to fabricate wearable e-textiles are included. Finally, the current challenges, possible solutions, opportunities, and future perspectives in the area of smart textiles are discussed.
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Affiliation(s)
- Jagan Singh Meena
- Research Center for Advanced Materials Technology, Core Research Institute, Sungkyunkwan University, Suwon, Republic of Korea
| | - Su Bin Choi
- Department of Smart Fab Technology, Sungkyunkwan University, Suwon, Republic of Korea
| | - Seung-Boo Jung
- School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea
| | - Jong-Woong Kim
- Department of Smart Fab Technology, Sungkyunkwan University, Suwon, Republic of Korea
- School of Mechanical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
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21
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Choi KH, Kim SJ, Kim H, Jang HW, Yi H, Park MC, Choi C, Ju H, Lim JA. Fibriform Organic Electrochemical Diodes with Rectifying, Complementary Logic and Transient Voltage Suppression Functions for Wearable E-Textile Embedded Circuits. ACS NANO 2023; 17:5821-5833. [PMID: 36881690 DOI: 10.1021/acsnano.2c12418] [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
In this study, a fibriform electrochemical diode capable of performing rectifying, complementary logic and device protection functions for future e-textile circuit systems is fabricated. The diode was fabricated using a simple twisted assembly of metal/polymer semiconductor/ion gel coaxial microfibers and conducting microfiber electrodes. The fibriform diode exhibited a prominent asymmetrical current flow with a rectification ratio of over 102, and its performance was retained after repeated bending deformations and washings. Fundamental studies on the electrochemical interactions of polymer semiconductors with ions reveal that the Faradaic current generated in polymer semiconductors by electrochemical reactions results in an abrupt current increase under a forward bias, in which the threshold voltages of the device are determined by the oxidation or reduction potential of the polymer semiconductor. Textile-embedded full-wave rectifiers and logic gate circuits were implemented by simply integrating the fibriform diodes, exhibiting AC-to-DC signal conversion and logic operation functions, respectively. It was also confirmed that the proposed fibriform diode can suppress transient voltages and thus protect a low-voltage operational wearable e-textile circuit.
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Affiliation(s)
- Kwang-Hun Choi
- Center for Optoelectronic Materials and Devices, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul 08826, Republic of Korea
| | - Soo Jin Kim
- Center for Optoelectronic Materials and Devices, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul 08826, Republic of Korea
| | - Hyoungjun Kim
- Center for Optoelectronic Materials and Devices, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
- Division of Nano and Information Technology, KIST School, Korea University of Science and Technology of Korea (UST), Seoul 02792, Republic of Korea
| | - Ho Won Jang
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul 08826, Republic of Korea
- Advanced Institute of Convergence Technology, Seoul National University, Suwon 16229, Republic of Korea
| | - Hyunjung Yi
- Post-Silicon Semiconductor Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
- Department of Materials Science and Engineering, YU-KIST Institute, Yonsei University, Seoul 03722, Republic of Korea
| | - Min-Chul Park
- Center for Optoelectronic Materials and Devices, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
| | - Changsoon Choi
- Center for Optoelectronic Materials and Devices, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
| | - Hyunsu Ju
- Center for Optoelectronic Materials and Devices, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
| | - Jung Ah Lim
- Center for Optoelectronic Materials and Devices, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
- Division of Nano and Information Technology, KIST School, Korea University of Science and Technology of Korea (UST), Seoul 02792, Republic of Korea
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22
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Pors A, Rasmussen KG, Inglev R, Jendrike N, Philipps A, Ranjan AG, Vestergaard V, Henriksen JE, Nørgaard K, Freckmann G, Hepp KD, Gerstenberg MC, Weber A. Accurate Post-Calibration Predictions for Noninvasive Glucose Measurements in People Using Confocal Raman Spectroscopy. ACS Sens 2023; 8:1272-1279. [PMID: 36877178 PMCID: PMC10043934 DOI: 10.1021/acssensors.2c02756] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
Abstract
In diabetes prevention and care, invasiveness of glucose measurement impedes efficient therapy and hampers the identification of people at risk. Lack of calibration stability in non-invasive technology has confined the field to short-term proof of principle. Addressing this challenge, we demonstrate the first practical use of a Raman-based and portable non-invasive glucose monitoring device used for at least 15 days following calibration. In a home-based clinical study involving 160 subjects with diabetes, the largest of its kind to our knowledge, we find that the measurement accuracy is insensitive to age, sex, and skin color. A subset of subjects with type 2 diabetes highlights promising real-life results with 99.8% of measurements within A + B zones in the consensus error grid and a mean absolute relative difference of 14.3%. By overcoming the problem of calibration stability, we remove the lingering uncertainty about the practical use of non-invasive glucose monitoring, boding a new, non-invasive era in diabetes monitoring.
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Affiliation(s)
- Anders Pors
- RSP Systems, Sivlandvænget 27C, 5260 Odense, Denmark
| | | | - Rune Inglev
- RSP Systems, Sivlandvænget 27C, 5260 Odense, Denmark
| | - Nina Jendrike
- Institute for Diabetes Technology at University of Ulm, Lise-Meitner-Straße 8/2, 89081 Ulm, Germany
| | | | - Ajenthen G Ranjan
- Steno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, 2730 Herlev, Denmark
| | - Vibe Vestergaard
- Steno Diabetes Center Odense, Kløvervænget 10, 5000 Odense, Denmark
| | - Jan E Henriksen
- Steno Diabetes Center Odense, Kløvervænget 10, 5000 Odense, Denmark
| | - Kirsten Nørgaard
- Steno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, 2730 Herlev, Denmark
| | - Guido Freckmann
- Institute for Diabetes Technology at University of Ulm, Lise-Meitner-Straße 8/2, 89081 Ulm, Germany
| | - Karl D Hepp
- University of Munich (emeritus), Geschwister-Scholl-Platz 1, 80539 Munich, Germany
| | | | - Anders Weber
- RSP Systems, Sivlandvænget 27C, 5260 Odense, Denmark
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23
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Wang B, Li Y, Zhou M, Han Y, Zhang M, Gao Z, Liu Z, Chen P, Du W, Zhang X, Feng X, Liu BF. Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence. Nat Commun 2023; 14:1341. [PMID: 36906581 PMCID: PMC10007670 DOI: 10.1038/s41467-023-36017-x] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 01/10/2023] [Indexed: 03/13/2023] Open
Abstract
The frequent outbreak of global infectious diseases has prompted the development of rapid and effective diagnostic tools for the early screening of potential patients in point-of-care testing scenarios. With advances in mobile computing power and microfluidic technology, the smartphone-based mobile health platform has drawn significant attention from researchers developing point-of-care testing devices that integrate microfluidic optical detection with artificial intelligence analysis. In this article, we summarize recent progress in these mobile health platforms, including the aspects of microfluidic chips, imaging modalities, supporting components, and the development of software algorithms. We document the application of mobile health platforms in terms of the detection objects, including molecules, viruses, cells, and parasites. Finally, we discuss the prospects for future development of mobile health platforms.
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Affiliation(s)
- Bangfeng Wang
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Yiwei Li
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Mengfan Zhou
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Yulong Han
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA
| | - Mingyu Zhang
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Zhaolong Gao
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Zetai Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Peng Chen
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Wei Du
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Xingcai Zhang
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA.
| | - Xiaojun Feng
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
| | - Bi-Feng Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
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24
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Abstract
Flexible sweat sensors have found widespread potential applications for long-term wear and tracking and real-time monitoring of human health. However, the main substrate currently used in common flexible sweat sensors is thin film, which has disadvantages such as poor air permeability and the need for additional wearables. In this Review, the recent progress of sweat sensors has been systematically summarized by the types of monitoring methods of sweat sensors. In addition, this Review introduces and compares the performance of sweat sensors based on thin film and textile substrates such as fiber/yarn. Finally, opportunities and suggestions for the development of flexible sweat sensors are presented by summarizing the integration methods of sensors and human body monitoring sites.
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Affiliation(s)
- Dan Luo
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, P. R. China.,Institute of Smart Wearable Electronic Textiles, Tiangong University, Tianjin 300387, P. R. China
| | - Haibo Sun
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, P. R. China.,Institute of Smart Wearable Electronic Textiles, Tiangong University, Tianjin 300387, P. R. China
| | - Qianqian Li
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, P. R. China.,Institute of Smart Wearable Electronic Textiles, Tiangong University, Tianjin 300387, P. R. China
| | - Xin Niu
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, P. R. China.,Institute of Smart Wearable Electronic Textiles, Tiangong University, Tianjin 300387, P. R. China
| | - Yin He
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, P. R. China.,Institute of Smart Wearable Electronic Textiles, Tiangong University, Tianjin 300387, P. R. China
| | - Hao Liu
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, P. R. China.,Institute of Smart Wearable Electronic Textiles, Tiangong University, Tianjin 300387, P. R. China
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25
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Sun F, Jiang H, Wang H, Zhong Y, Xu Y, Xing Y, Yu M, Feng LW, Tang Z, Liu J, Sun H, Wang H, Wang G, Zhu M. Soft Fiber Electronics Based on Semiconducting Polymer. Chem Rev 2023; 123:4693-4763. [PMID: 36753731 DOI: 10.1021/acs.chemrev.2c00720] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Fibers, originating from nature and mastered by human, have woven their way throughout the entire history of human civilization. Recent developments in semiconducting polymer materials have further endowed fibers and textiles with various electronic functions, which are attractive in applications such as information interfacing, personalized medicine, and clean energy. Owing to their ability to be easily integrated into daily life, soft fiber electronics based on semiconducting polymers have gained popularity recently for wearable and implantable applications. Herein, we present a review of the previous and current progress in semiconducting polymer-based fiber electronics, particularly focusing on smart-wearable and implantable areas. First, we provide a brief overview of semiconducting polymers from the viewpoint of materials based on the basic concepts and functionality requirements of different devices. Then we analyze the existing applications and associated devices such as information interfaces, healthcare and medicine, and energy conversion and storage. The working principle and performance of semiconducting polymer-based fiber devices are summarized. Furthermore, we focus on the fabrication techniques of fiber devices. Based on the continuous fabrication of one-dimensional fiber and yarn, we introduce two- and three-dimensional fabric fabricating methods. Finally, we review challenges and relevant perspectives and potential solutions to address the related problems.
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Affiliation(s)
- Fengqiang Sun
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China
- Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
| | - Hao Jiang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China
| | - Haoyu Wang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China
| | - Yueheng Zhong
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China
| | - Yiman Xu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China
| | - Yi Xing
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China
| | - Muhuo Yu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China
- Shanghai Key Laboratory of Lightweight Structural Composites, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China
| | - Liang-Wen Feng
- Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610065, China
| | - Zheng Tang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China
- Center for Advanced Low-dimension Materials, Donghua University, Shanghai 201620, China
| | - Jun Liu
- National Key Laboratory on Electromagnetic Environment Effects and Electro-Optical Engineering, Nanjing 210007, China
| | - Hengda Sun
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China
| | - Hongzhi Wang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China
| | - Gang Wang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China
| | - Meifang Zhu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China
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26
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Xu J, Pan J, Cui T, Zhang S, Yang Y, Ren TL. Recent Progress of Tactile and Force Sensors for Human-Machine Interaction. SENSORS (BASEL, SWITZERLAND) 2023; 23:1868. [PMID: 36850470 PMCID: PMC9961639 DOI: 10.3390/s23041868] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 01/23/2023] [Accepted: 02/01/2023] [Indexed: 06/18/2023]
Abstract
Human-Machine Interface (HMI) plays a key role in the interaction between people and machines, which allows people to easily and intuitively control the machine and immersively experience the virtual world of the meta-universe by virtual reality/augmented reality (VR/AR) technology. Currently, wearable skin-integrated tactile and force sensors are widely used in immersive human-machine interactions due to their ultra-thin, ultra-soft, conformal characteristics. In this paper, the recent progress of tactile and force sensors used in HMI are reviewed, including piezoresistive, capacitive, piezoelectric, triboelectric, and other sensors. Then, this paper discusses how to improve the performance of tactile and force sensors for HMI. Next, this paper summarizes the HMI for dexterous robotic manipulation and VR/AR applications. Finally, this paper summarizes and proposes the future development trend of HMI.
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Affiliation(s)
- Jiandong Xu
- School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Jiong Pan
- School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Tianrui Cui
- School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Sheng Zhang
- Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Yi Yang
- School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Tian-Ling Ren
- School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
- Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
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27
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Li F, Li Y, Novoselov KS, Liang F, Meng J, Ho SH, Zhao T, Zhou H, Ahmad A, Zhu Y, Hu L, Ji D, Jia L, Liu R, Ramakrishna S, Zhang X. Bioresource Upgrade for Sustainable Energy, Environment, and Biomedicine. NANO-MICRO LETTERS 2023; 15:35. [PMID: 36629933 PMCID: PMC9833044 DOI: 10.1007/s40820-022-00993-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
We conceptualize bioresource upgrade for sustainable energy, environment, and biomedicine with a focus on circular economy, sustainability, and carbon neutrality using high availability and low utilization biomass (HALUB). We acme energy-efficient technologies for sustainable energy and material recovery and applications. The technologies of thermochemical conversion (TC), biochemical conversion (BC), electrochemical conversion (EC), and photochemical conversion (PTC) are summarized for HALUB. Microalgal biomass could contribute to a biofuel HHV of 35.72 MJ Kg-1 and total benefit of 749 $/ton biomass via TC. Specific surface area of biochar reached 3000 m2 g-1 via pyrolytic carbonization of waste bean dregs. Lignocellulosic biomass can be effectively converted into bio-stimulants and biofertilizers via BC with a high conversion efficiency of more than 90%. Besides, lignocellulosic biomass can contribute to a current density of 672 mA m-2 via EC. Bioresource can be 100% selectively synthesized via electrocatalysis through EC and PTC. Machine learning, techno-economic analysis, and life cycle analysis are essential to various upgrading approaches of HALUB. Sustainable biomaterials, sustainable living materials and technologies for biomedical and multifunctional applications like nano-catalysis, microfluidic and micro/nanomotors beyond are also highlighted. New techniques and systems for the complete conversion and utilization of HALUB for new energy and materials are further discussed.
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Affiliation(s)
- Fanghua Li
- Center for Nanofibers and Nanotechnology, National University of Singapore, Singapore, 119260, Singapore
- State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150090, People's Republic of China
| | - Yiwei Li
- School of Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- John A Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, People's Republic of China
| | - K S Novoselov
- Centre for Advanced 2D Materials, National University of Singapore, Singapore, 117546, Singapore
- School of Physics and Astronomy, The University of Manchester, Manchester, M13 9PL, UK
| | - Feng Liang
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | - Jiashen Meng
- School of Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Shih-Hsin Ho
- State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150090, People's Republic of China
| | - Tong Zhao
- State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150090, People's Republic of China
| | - Hui Zhou
- Department of Energy and Power Engineering, Tsinghua University, Beijing, 100084, People's Republic of China
| | - Awais Ahmad
- Departamento de Quimica Organica, Universidad de Cordoba, Edificio Marie Curie (C-3), Ctra Nnal IV-A, Km 396, 14014, Cordoba, Spain
| | - Yinlong Zhu
- Department of Chemical Engineering, Monash University, Clayton, VIC, 3800, Australia
| | - Liangxing Hu
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - Dongxiao Ji
- Center for Nanofibers and Nanotechnology, National University of Singapore, Singapore, 119260, Singapore
| | - Litao Jia
- State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150090, People's Republic of China
| | - Rui Liu
- State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150090, People's Republic of China
| | - Seeram Ramakrishna
- Center for Nanofibers and Nanotechnology, National University of Singapore, Singapore, 119260, Singapore
| | - Xingcai Zhang
- John A Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA.
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28
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Chen M, Li P, Wang R, Xiang Y, Huang Z, Yu Q, He M, Liu J, Wang J, Su M, Zhang M, Jian A, Ouyang J, Zhang C, Li J, Dong M, Zeng S, Wu J, Hong P, Hou C, Zhou N, Zhang D, Zhou H, Tao G. Multifunctional Fiber-Enabled Intelligent Health Agents. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2200985. [PMID: 35820163 DOI: 10.1002/adma.202200985] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 03/31/2022] [Indexed: 06/15/2023]
Abstract
The application of wearable devices is promoting the development toward digitization and intelligence in the field of health. However, the current smart devices centered on human health have disadvantages such as weak perception, high interference degree, and unfriendly interaction. Here, an intelligent health agent based on multifunctional fibers, with the characteristics of autonomy, activeness, intelligence, and perceptibility enabling health services, is proposed. According to the requirements for healthcare in the medical field and daily life, four major aspects driven by intelligent agents, including health monitoring, therapy, protection, and minimally invasive surgery, are summarized from the perspectives of materials science, medicine, and computer science. The function of intelligent health agents is realized through multifunctional fibers as sensing units and artificial intelligence technology as a cognitive engine. The structure, characteristics, and performance of fibers and analysis systems and algorithms are reviewed, while discussing future challenges and opportunities in healthcare and medicine. Finally, based on the above four aspects, future scenarios related to health protection of a person's life are presented. Intelligent health agents will have the potential to accelerate the realization of precision medicine and active health.
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Affiliation(s)
- Min Chen
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Pan Li
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Rui Wang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Yuanzhuo Xiang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Zhiheng Huang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Qiao Yu
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Muyao He
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jia Liu
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jiaxi Wang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Minyu Su
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Manni Zhang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Aijia Jian
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jingyu Ouyang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Chenxi Zhang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jing Li
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Mengxue Dong
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Shaoning Zeng
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jiawei Wu
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Ping Hong
- Beijing Sport University, Beijing, 100091, P. R. China
| | - Chong Hou
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Optics and Electronic Information, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Ning Zhou
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Dingyu Zhang
- Hubei Provincial Health and Health Committee, Wuhan, Hubei, 430015, P. R. China
| | - Huamin Zhou
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Guangming Tao
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
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Zhang Y, Zhou J, Zhang Y, Zhang D, Yong KT, Xiong J. Elastic Fibers/Fabrics for Wearables and Bioelectronics. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2203808. [PMID: 36253094 PMCID: PMC9762321 DOI: 10.1002/advs.202203808] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 09/01/2022] [Indexed: 06/16/2023]
Abstract
Wearables and bioelectronics rely on breathable interface devices with bioaffinity, biocompatibility, and smart functionality for interactions between beings and things and the surrounding environment. Elastic fibers/fabrics with mechanical adaptivity to various deformations and complex substrates, are promising to act as fillers, carriers, substrates, dressings, and scaffolds in the construction of biointerfaces for the human body, skins, organs, and plants, realizing functions such as energy exchange, sensing, perception, augmented virtuality, health monitoring, disease diagnosis, and intervention therapy. This review summarizes and highlights the latest breakthroughs of elastic fibers/fabrics for wearables and bioelectronics, aiming to offer insights into elasticity mechanisms, production methods, and electrical components integration strategies with fibers/fabrics, presenting a profile of elastic fibers/fabrics for energy management, sensors, e-skins, thermal management, personal protection, wound healing, biosensing, and drug delivery. The trans-disciplinary application of elastic fibers/fabrics from wearables to biomedicine provides important inspiration for technology transplantation and function integration to adapt different application systems. As a discussion platform, here the main challenges and possible solutions in the field are proposed, hopefully can provide guidance for promoting the development of elastic e-textiles in consideration of the trade-off between mechanical/electrical performance, industrial-scale production, diverse environmental adaptivity, and multiscenario on-spot applications.
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Affiliation(s)
- Yufan Zhang
- Innovation Center for Textile Science and TechnologyDonghua UniversityShanghai201620China
| | - Jiahui Zhou
- College of Textile and Clothing EngineeringSoochow UniversitySuzhou215123China
| | - Yue Zhang
- College of Textile and Clothing EngineeringSoochow UniversitySuzhou215123China
| | - Desuo Zhang
- College of Textile and Clothing EngineeringSoochow UniversitySuzhou215123China
| | - Ken Tye Yong
- School of Biomedical EngineeringThe University of SydneySydneyNew South Wales2006Australia
| | - Jiaqing Xiong
- Innovation Center for Textile Science and TechnologyDonghua UniversityShanghai201620China
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Ding X, Yu Y, Shang L, Zhao Y. Histidine-Triggered GO Hybrid Hydrogels for Microfluidic 3D Printing. ACS NANO 2022; 16:19533-19542. [PMID: 36269119 DOI: 10.1021/acsnano.2c09850] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Graphene oxide (GO) hydrogels have provided tremendous opportunities in designing and fabricating complex constructs for diverse applications, while their 3D printing without photocuring is still a challenging task due to their low viscosity, uncontrollable gelation, and low interfacial tension. Here, we report a histidine-assisted printing strategy to prepare GO hybrid hydrogels through the microfluidic 3D printing technique. We found that the GO additive could significantly hamper the Knoevenagel condensation (KC) reaction between benzaldehyde and cyanoacetate group-functionalized polymers to form a hydrogel, while these GO mixed solutions were rapidly solidified into a hydrogel when histidine was added. This fascinating phenomenon enabled us to prepare low-viscosity GO mixed polymer solutions as printable inks and generate hydrogel microfibers in histidine solutions. The hydrogel fibers could support cell survival and be further constructed into complex 3D structures through microfluidic 3D printing techniques. Moreover, due to the addition of GO, the microfibers exhibited excellent electrical conductivity and could sense the motion changes and convert these stimuli as electrical resistance signals. This strategy adds an option for the design and application of 3D printable aqueous GO inks in many fields.
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Affiliation(s)
- Xiaoya Ding
- Department of Clinical Laboratory, The Affiliated Drum Tower Hospital of Nanjing University Medical School, 210008 Nanjing, China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325001, China
| | - Yunru Yu
- Department of Clinical Laboratory, The Affiliated Drum Tower Hospital of Nanjing University Medical School, 210008 Nanjing, China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325001, China
| | - Luoran Shang
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Yuanjin Zhao
- Department of Clinical Laboratory, The Affiliated Drum Tower Hospital of Nanjing University Medical School, 210008 Nanjing, China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325001, China
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
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Tang H, Li Y, Chen B, Chen X, Han Y, Guo M, Xia HQ, Song R, Zhang X, Zhou J. In Situ Forming Epidermal Bioelectronics for Daily Monitoring and Comprehensive Exercise. ACS NANO 2022; 16:17931-17947. [PMID: 36200714 DOI: 10.1021/acsnano.2c03414] [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: 06/16/2023]
Abstract
Conventional epidermal bioelectronics usually do not conform well with natural skin surfaces and are susceptible to motion artifact interference, due to incompatible dimensions, insufficient adhesion, imperfect compliance, and usually require complex manufacturing and high costs. We propose in situ forming hydrogel electrodes or electronics (ISF-HEs) that can establish highly conformal interfaces on curved biological surfaces without auxiliary adhesions. The ISF-HEs also have favorable flexibility and soft compliance comparable to human skin (≈0.02 kPa-1), which can stably maintain synchronous movements with deformed skins. Thus, the as-prepared ISF-HEs can accurately monitor large and tiny human motions with short response time (≈180 ms), good biocompatibility, and excellent performance. The as-obtained nongapped hydrogel electrode-skin interfaces achieve ultralow interfacial impedance (≈50 KΩ), nearly an order of magnitude lower than commercial Ag|AgCl electrodes as well as other reported dry and wet electrodes, regardless of the intrinsic micro-obstacles (wrinkles, hair) and skin deformation interference. Therefore, the ISF-HEs can collect high-quality electrocardiography and surface electromyography (sEMG) signals, with high signal-to-noise ratio (SNR ≈ 32.04 dB), reduced signal crosstalk, and minimized motion artifact interference. Simultaneously monitoring human motions and sEMG signals have also been implemented for the general exercise status assessment, such as the shooting competition in the Olympics. The as-prepared ISF-HEs can be considered as supplements/substitutes of conventional electrodes in percutaneously noninvasive monitoring of multifunctional physiological signals for health and exercise status.
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Affiliation(s)
- Hao Tang
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Yuanfang Li
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Baiqi Chen
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Xing Chen
- School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Yulong Han
- School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
- School of Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Ming Guo
- School of Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Hong-Qi Xia
- Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture and Rural Affairs, Institute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangdong Provincial Key Laboratory of Tropical and Subtropical Fruit Tree Research, Guangzhou 510640, China
| | - Rong Song
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Xingcai Zhang
- School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
- School of Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Jianhua Zhou
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, United States
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32
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Chen S, Pan Q, Wu T, Xie H, Xue T, Su M, Song Y. Printing nanoparticle-based isotropic/anisotropic networks for directional electrical circuits. NANOSCALE 2022; 14:14956-14961. [PMID: 36178246 DOI: 10.1039/d2nr03892g] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
With the demand for integrated nanodevices, anisotropic conductive films are one type of interconnection structure for electronic components, which have been widely used for improving the integration of the system in printed circuit boards. This work presents a template-assisted printing strategy for the fabrication of nanoparticle-based networks with multi electrical properties. By manipulating the microfluid behavior under the guidance of the grid-shaped template, the continuity of liquid bridges can be precisely controlled in two directions. The isotropous circuits with crossbar paths, discrete paths as well as unidirectional paths are obtained, which achieve the switching of on/off states in the circuits. This work demonstrates a new type of directional circuits by the template-assisted printing method, which provides an effective fabrication strategy for electrical components and integrated systems.
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Affiliation(s)
- Sisi Chen
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, P. R. China.
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Qi Pan
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, P. R. China.
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Tingqing Wu
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, P. R. China.
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Hongfei Xie
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, P. R. China.
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Tangyue Xue
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, P. R. China.
- School of Materials Science and Engineering, Zhengzhou University, Zhengzhou 450001, P. R. China
| | - Meng Su
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, P. R. China.
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Yanlin Song
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, P. R. China.
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
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33
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Wu HY, Shi X, Zhou ZH, Liu Y, Cheng XR, Yang YB, Kang XY, Guo Y, Zeng KW, Wang BJ, Sun XM, Chen PN, Peng HS. Seamlessly-integrated Textile Electric Circuit Enabled by Self-connecting Interwoven Points. CHINESE JOURNAL OF POLYMER SCIENCE 2022. [DOI: 10.1007/s10118-022-2829-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Gao D, Shi Y, Ni J, Chen S, Wang Y, Zhao B, Song M, Guo X, Ren X, Zhang X, Tian Z, Yang Z. NIR/MRI-Guided Oxygen-Independent Carrier-Free Anti-Tumor Nano-Theranostics. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2106000. [PMID: 34854571 DOI: 10.1002/smll.202106000] [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: 09/30/2021] [Indexed: 05/22/2023]
Abstract
Imaging-guided photothermal therapy (PTT)/photodynamic therapy (PDT) for cancer treatment are beneficial for precise localization of the malignant lesions and combination of multiple cell killing mechanisms in eradicating stubborn thermal-resistant cancer cells. However, overcoming the adverse impact of tumor hypoxia on PDT efficacy remains a challenge. Here, carrier-free nano-theranostic agents are developed (AIBME@IR780-APM NPs) for magnetic resonance imaging (MRI)-guided synergistic PTT/thermodynamic therapy (TDT). Two IR780 derivatives are synthesized as the subject of nanomedicine to confer the advantages for the nanomedicine, which are by feat of amphiphilic IR780-PEG to enhance the sterical stability and reduce the risk from reticuloendothelial system uptake, and IR780-ATU to chelate Mn2+ for T1 -weighted MRI. Dimethyl 2,2'-azobis(2-methylpropionate) (AIBME), acting as thermally decomposable radical initiators, are further introduced into nanosystems with the purpose of generating highly cytotoxic alkyl radicals upon PTT launched by IR780 under 808 nm laser irradiation. Therefore, the sequentially generated heat and alkyl radicals synergistically induce cell death via synergistic PTT/TDT, ignoring tumor hypoxia. Moreover, these carrier-free nano-theranostic agents present satisfactory biocompatibility, which could be employed as a powerful weapon to hit hypoxic tumors via MRI-guided oxygen-independent PTT and photonic TDT.
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Affiliation(s)
- Di Gao
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P. R. China
| | - Yupeng Shi
- Henan Key laboratory of Functional Magnetic Resonance Imaging and Molecular Imaging Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, P. R. China
| | - Jiahua Ni
- School of Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA
| | - Shuojia Chen
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P. R. China
| | - Ying Wang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P. R. China
| | - Bin Zhao
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P. R. China
- Department of Epidemiology, Shaanxi Provincial Tumor Hospital, Xi'an, 710061, P. R. China
| | - Manli Song
- Henan Key laboratory of Functional Magnetic Resonance Imaging and Molecular Imaging Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, P. R. China
| | - Xiaoqing Guo
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P. R. China
| | - Xuechun Ren
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P. R. China
| | - Xingcai Zhang
- School of Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA
| | - Zhongmin Tian
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P. R. China
| | - Zhe Yang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P. R. China
- Research Center of Life Science, Research Institute of Xi'an Jiaotong University, Zhejiang, 311200, P. R. China
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35
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Click chemistry extracellular vesicle/peptide/chemokine nanomissiles for treating central nervous systems injuries. Acta Pharm Sin B 2022; 13:2202-2218. [DOI: 10.1016/j.apsb.2022.06.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 06/02/2022] [Accepted: 06/03/2022] [Indexed: 12/19/2022] Open
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36
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Wearable Near-Field Communication Sensors for Healthcare: Materials, Fabrication and Application. MICROMACHINES 2022; 13:mi13050784. [PMID: 35630251 PMCID: PMC9146494 DOI: 10.3390/mi13050784] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 04/18/2022] [Accepted: 04/21/2022] [Indexed: 01/27/2023]
Abstract
The wearable device industry is on the rise, with technology applications ranging from wireless communication technologies to the Internet of Things. However, most of the wearable sensors currently on the market are expensive, rigid and bulky, leading to poor data accuracy and uncomfortable wearing experiences. Near-field communication sensors are low-cost, easy-to-manufacture wireless communication technologies that are widely used in many fields, especially in the field of wearable electronic devices. The integration of wireless communication devices and sensors exhibits tremendous potential for these wearable applications by endowing sensors with new features of wireless signal transferring and conferring radio frequency identification or near-field communication devices with a sensing function. Likewise, the development of new materials and intensive research promotes the next generation of ultra-light and soft wearable devices for healthcare. This review begins with an introduction to the different components of near-field communication, with particular emphasis on the antenna design part of near-field communication. We summarize recent advances in different wearable areas of near-field communication sensors, including structural design, material selection, and the state of the art of scenario-based development. The challenges and opportunities relating to wearable near-field communication sensors for healthcare are also discussed.
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37
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Dong K, Peng X, Cheng R, Ning C, Jiang Y, Zhang Y, Wang ZL. Advances in High-Performance Autonomous Energy and Self-Powered Sensing Textiles with Novel 3D Fabric Structures. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2109355. [PMID: 35083786 DOI: 10.1002/adma.202109355] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 01/25/2022] [Indexed: 05/02/2023]
Abstract
The seamless integration of emerging triboelectric nanogenerator (TENG) technology with traditional wearable textile materials has given birth to the next-generation smart textiles, i.e., textile TENGs, which will play a vital role in the era of Internet of Things and artificial intelligences. However, low output power and inferior sensing ability have largely limited the development of textile TENGs. Among various approaches to improve the output and sensing performance, such as material modification, structural design, and environmental management, a 3D fabric structural scheme is a facile, efficient, controllable, and scalable strategy to increase the effective contact area for contact electrification of textile TENGs without cumbersome material processing and service area restrictions. Herein, the recent advances of the current reported textile TENGs with 3D fabric structures are comprehensively summarized and systematically analyzed in order to clarify their superiorities over 1D fiber and 2D fabric structures in terms of power output and pressure sensing. The forward-looking integration abilities of the 3D fabrics are also discussed at the end. It is believed that the overview and analysis of textile TENGs with distinctive 3D fabric structures will contribute to the development and realization of high-power output micro/nanowearable power sources and high-quality self-powered wearable sensors.
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Affiliation(s)
- Kai Dong
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Xiao Peng
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Renwei Cheng
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Chuan Ning
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Yang Jiang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Yihan Zhang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Zhong Lin Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
- CUSTech Institute of Technology, Wenzhou, Zhejiang, 325024, P. R. China
- School of Material Science and Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
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38
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Chang B, Zhang L, Wu S, Sun Z, Cheng Z. Engineering single-atom catalysts toward biomedical applications. Chem Soc Rev 2022; 51:3688-3734. [PMID: 35420077 DOI: 10.1039/d1cs00421b] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Due to inherent structural defects, common nanocatalysts always display limited catalytic activity and selectivity, making it practically difficult for them to replace natural enzymes in a broad scope of biologically important applications. By decreasing the size of the nanocatalysts, their catalytic activity and selectivity will be substantially improved. Guided by this concept, the advances of nanocatalysts now enter an era of atomic-level precise control. Single-atom catalysts (denoted as SACs), characterized by atomically dispersed active sites, strikingly show utmost atomic utilization, precisely located metal centers, unique metal-support interactions and identical coordination environments. Such advantages of SACs drastically boost the specific activity per metal atom, and thus provide great potential for achieving superior catalytic activity and selectivity to functionally mimic or even outperform natural enzymes of interest. Although the size of the catalysts does matter, it is not clear whether the guideline of "the smaller, the better" is still correct for developing catalysts at the single-atom scale. Thus, it is clearly a new, urgent issue to address before further extending SACs into biomedical applications, representing an important branch of nanomedicine. This review begins by providing an overview of recent advances of synthesis strategies of SACs, which serve as a basis for the discussion of emerging achievements in improving the enzyme-like catalytic properties at an atomic level. Then, we carefully compare the structures and functions of catalysts at various scales from nanoparticles, nanoclusters, and few-atom clusters to single atoms. Contrary to conventional wisdom, SACs are not the most catalytically active catalysts in specific reactions, especially those requiring multi-site auxiliary activities. After that, we highlight the unique roles of SACs toward biomedical applications. To appreciate these advances, the challenges and prospects in rapidly growing studies of SACs-related catalytic nanomedicine are also discussed in this review.
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Affiliation(s)
- Baisong Chang
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, P. R. China.
| | - Liqin Zhang
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, P. R. China.
| | - Shaolong Wu
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, P. R. China.
| | - Ziyan Sun
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, P. R. China.
| | - Zhen Cheng
- State Key Laboratory of Drug Research, Molecular Imaging Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, P. R. China. .,Bohai rim Advanced Research Institute for Drug Discovery, Yantai, 264000, China.,Molecular Imaging Program at Stanford (MIPS), Department of Radiology and Bio-X Program, Stanford University, California 94305, USA
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39
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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: 70] [Impact Index Per Article: 35.0] [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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40
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Xiao G, Ju J, Lu H, Shi X, Wang X, Wang W, Xia Q, Zhou G, Sun W, Li CM, Qiao Y, Lu Z. A Weavable and Scalable Cotton-Yarn-Based Battery Activated by Human Sweat for Textile Electronics. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2103822. [PMID: 34989163 PMCID: PMC8895049 DOI: 10.1002/advs.202103822] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 11/16/2021] [Indexed: 06/12/2023]
Abstract
Sweat-activated batteries (SABs) are lightweight, biocompatible energy generators that produce sufficient power for skin-interface electronic devices. However, the fabrication of 1D SABs that are compatible with conventional textile techniques for self-powered wearable electronics remains challenging. In this study, a cotton-yarn-based SAB (CYSAB) with a segmental structure is developed, in which carbon-black-modified, pristine yarn and Zn foil-wrapped segments are prepared to serve as the cathode, salt bridge, and anode, respectively. Upon electrolyte absorption, the CYSAB can be rapidly activated. Its performance is closely related to the ion concentration, infiltrated electrolyte volume, and evaporation rate. The CYSAB can tolerate repeated bending and washing without any significant influence on its power output. Moreover, the CYSABs can be woven into fabrics and connected in series and parallel configurations to produce an energy supplying headband, which can be activated by the sweat secreted from a volunteer during a cycling exercise to power light-emitting diode headlights. The developed CYSAB can also be integrated with yarn-based strain sensors to achieve a smart textile for the self-powered sensing of human motion and breathing. This weavable, washable, and scalable CYSAB is expected to contribute to the manufacturing of self-powered smart textiles for future applications in wearable healthcare monitoring.
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Affiliation(s)
- Gang Xiao
- Institute for Clean Energy & Advanced MaterialsSchool of Materials & EnergySouthwest UniversityChongqing400715P. R. China
| | - Jun Ju
- Institute for Clean Energy & Advanced MaterialsSchool of Materials & EnergySouthwest UniversityChongqing400715P. R. China
| | - Hao Lu
- Institute for Clean Energy & Advanced MaterialsSchool of Materials & EnergySouthwest UniversityChongqing400715P. R. China
| | - Xuemei Shi
- Institute for Clean Energy & Advanced MaterialsSchool of Materials & EnergySouthwest UniversityChongqing400715P. R. China
| | - Xin Wang
- College of Food ScienceSouthwest UniversityChongqing400715P. R. China
| | - Wei Wang
- Singapore Institute of Manufacturing TechnologySingapore138669Singapore
| | - Qingyou Xia
- Biological Science Research CenterAcademy for Advanced Interdisciplinary StudiesSouthwest UniversityChongqing400715P. R. China
| | - Guangdong Zhou
- College of Artificial IntelligenceChongqing Key Laboratory of Brain‐inspired Computing & Intelligent ControlSouthwest UniversityChongqing400715P. R. China
| | - Wei Sun
- Key Laboratory of Laser Technology and Optoelectronic Functional Materials of Hainan ProvinceCollege of Chemistry and Chemical EngineeringHainan Normal UniversityHaikou571158P. R. China
| | - Chang Ming Li
- Institute for Clean Energy & Advanced MaterialsSchool of Materials & EnergySouthwest UniversityChongqing400715P. R. China
- School of Materials Science and EngineeringSuzhou University of Science and TechnologySuzhou215011P. R. China
| | - Yan Qiao
- Institute for Clean Energy & Advanced MaterialsSchool of Materials & EnergySouthwest UniversityChongqing400715P. R. China
| | - Zhisong Lu
- Institute for Clean Energy & Advanced MaterialsSchool of Materials & EnergySouthwest UniversityChongqing400715P. R. China
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Chang T, Akin S, Kim MK, Murray L, Kim B, Cho S, Huh S, Teke S, Couetil L, Jun MBG, Lee CH. A Programmable Dual-Regime Spray for Large-Scale and Custom-Designed Electronic Textiles. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2108021. [PMID: 34951073 PMCID: PMC8897238 DOI: 10.1002/adma.202108021] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 12/06/2021] [Indexed: 05/27/2023]
Abstract
Increasing demand for wearable healthcare synergistically advances the field of electronic textiles, or e-textiles, allowing for ambulatory monitoring of vital health signals. Despite great promise, the pragmatic deployment of e-textiles in clinical practice remains challenged due to the lack of a method in producing custom-designed e-textiles at high spatial resolution across a large area. To this end, a programmable dual-regime spray that enables the direct custom writing of functional nanoparticles into arbitrary fabrics at sub-millimeter resolution over meter scale is employed. The resulting e-textiles retain the intrinsic fabric properties in terms of mechanical flexibility, water-vapor permeability, and comfort against multiple uses and laundry cycles. The e-textiles tightly fit various body sizes and shapes to support the high-fidelity recording of physiological and electrophysiological signals on the skin under ambulatory conditions. Pilot field tests in a remote health-monitoring setting with a large animal, such as a horse, demonstrate the scalability and utility of the e-textiles beyond conventional devices. This approach will be suitable for the rapid prototyping of custom e-textiles tailored to meet various clinical needs.
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Affiliation(s)
- Taehoo Chang
- School of Materials Engineering, Purdue University, West Lafayette, IN, 47907, USA
| | - Semih Akin
- School of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA
| | - Min Ku Kim
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA
- School of Mechanical Engineering, Hanyang University, Seoul, 04763, South Korea
| | - Laura Murray
- Department of Veterinary Clinical Sciences, Purdue University, West Lafayette, IN, 47907, USA
| | - Bongjoong Kim
- School of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA
- Department of Mechanical & System Design Engineering, Hongik University, Seoul, 04066, South Korea
| | - Seungse Cho
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA
| | - Sena Huh
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA
| | - Sengul Teke
- School of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA
- Secant Group LLC, Telford, PA, 18969, USA
| | - Laurent Couetil
- Department of Veterinary Clinical Sciences, Purdue University, West Lafayette, IN, 47907, USA
| | - Martin Byung-Guk Jun
- School of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA
- Indiana Manufacturing Competitiveness Center, Purdue University, West Lafayette, IN, 47907, USA
| | - Chi Hwan Lee
- School of Materials Engineering, Purdue University, West Lafayette, IN, 47907, USA
- School of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA
- Birck Nanotechnology Center, Purdue University, West Lafayette, IN, 47907, USA
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42
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Abstract
Wireless chemical sensors have been developed as a result of advances in chemical sensing and wireless communication technology. Because of their mobility and widespread availability, smartphones have been extensively combined with sensors such as hand-held detectors, sensor chips, and test strips for biochemical detection. Smartphones are frequently used as controllers, analyzers, and displayers for quick, authentic, and point-of-care monitoring, which may considerably streamline the design and lower the cost of sensing systems. This study looks at the most recent wireless and smartphone-supported chemical sensors. The review is divided into four different topics that emphasize the basic types of wireless smartphone-operated chemical sensors. According to a study of 114 original research publications published during recent years, market opportunities for wireless and smartphone-supported chemical sensor systems include environmental monitoring, healthcare and medicine, food quality, sport, and fitness. The issues and illustrations for each of the primary chemical sensors relevant to many application areas are covered. In terms of performance, the advancement of technologies related to chemical sensors will result in smaller and more lightweight, cost-effective, versatile, and durable devices. Given the limitations, we suggest that wireless and smartphone-supported chemical sensor systems play a significant role in the sensor Internet of Things.
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Shah VV, Curtze C, Sowalsky K, Arpan I, Mancini M, Carlson-Kuhta P, El-Gohary M, Horak FB, McNames J. Inertial Sensor Algorithm to Estimate Walk Distance. SENSORS 2022; 22:s22031077. [PMID: 35161822 PMCID: PMC8838103 DOI: 10.3390/s22031077] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Revised: 01/24/2022] [Accepted: 01/25/2022] [Indexed: 11/16/2022]
Abstract
The “total distance walked” obtained during a standardized walking test is an integral component of physical fitness and health status tracking in a range of consumer and clinical applications. Wearable inertial sensors offer the advantages of providing accurate, objective, and reliable measures of gait while streamlining walk test administration. The aim of this study was to develop an inertial sensor-based algorithm to estimate the total distance walked using older subjects with impaired fasting glucose (Study I), and to test the generalizability of the proposed algorithm in patients with Multiple Sclerosis (Study II). All subjects wore two inertial sensors (Opals by Clario-APDM Wearable Technologies) on their feet. The walking distance algorithm was developed based on 108 older adults in Study I performing a 400 m walk test along a 20 m straight walkway. The validity of the algorithm was tested using a 6-minute walk test (6MWT) in two sub-studies of Study II with different lengths of a walkway, 15 m (Study II-A, n = 24) and 20 m (Study II-B, n = 22), respectively. The start and turn around points were marked with lines on the floor while smaller horizontal lines placed every 1 m served to calculate the manual distance walked (ground truth). The proposed algorithm calculates the forward distance traveled during each step as the change in the horizontal position from each foot-flat period to the subsequent foot-flat period. The total distance walked is then computed as the sum of walk distances for each stride, including turns. The proposed algorithm achieved an average absolute error rate of 1.92% with respect to a fixed 400 m distance for Study I. The same algorithm achieved an absolute error rate of 4.17% and 3.21% with respect to an averaged manual distance for 6MWT in Study II-A and Study II-B, respectively. These results demonstrate the potential of an inertial sensor-based algorithm to estimate a total distance walked with good accuracy with respect to the manual, clinical standard. Further work is needed to test the generalizability of the proposed algorithm with different administrators and populations, as well as larger diverse cohorts.
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Affiliation(s)
- Vrutangkumar V. Shah
- Department of Neurology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA; (I.A.); (M.M.); (P.C.-K.); (F.B.H.)
- Correspondence:
| | - Carolin Curtze
- Department of Biomechanics, University of Nebraska at Omaha, 6001 Dodge St., Omaha, NE 68182, USA;
| | - Kristen Sowalsky
- APDM Wearable Technologie—A Clario Company, 2828 S Corbett Ave, Ste 135, Portland, OR 97201, USA; (K.S.); (M.E.-G.); (J.M.)
| | - Ishu Arpan
- Department of Neurology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA; (I.A.); (M.M.); (P.C.-K.); (F.B.H.)
| | - Martina Mancini
- Department of Neurology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA; (I.A.); (M.M.); (P.C.-K.); (F.B.H.)
| | - Patricia Carlson-Kuhta
- Department of Neurology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA; (I.A.); (M.M.); (P.C.-K.); (F.B.H.)
| | - Mahmoud El-Gohary
- APDM Wearable Technologie—A Clario Company, 2828 S Corbett Ave, Ste 135, Portland, OR 97201, USA; (K.S.); (M.E.-G.); (J.M.)
| | - Fay B. Horak
- Department of Neurology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA; (I.A.); (M.M.); (P.C.-K.); (F.B.H.)
- APDM Wearable Technologie—A Clario Company, 2828 S Corbett Ave, Ste 135, Portland, OR 97201, USA; (K.S.); (M.E.-G.); (J.M.)
| | - James McNames
- APDM Wearable Technologie—A Clario Company, 2828 S Corbett Ave, Ste 135, Portland, OR 97201, USA; (K.S.); (M.E.-G.); (J.M.)
- Department of Electrical and Computer Engineering, Portland State University, 1825 SW Broadway, Portland, OR 97201, USA
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44
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Chen G, Xiao X, Zhao X, Tat T, Bick M, Chen J. Electronic Textiles for Wearable Point-of-Care Systems. Chem Rev 2021; 122:3259-3291. [PMID: 34939791 DOI: 10.1021/acs.chemrev.1c00502] [Citation(s) in RCA: 169] [Impact Index Per Article: 56.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Traditional public health systems are suffering from limited, delayed, and inefficient medical services, especially when confronted with the pandemic and the aging population. Fusing traditional textiles with diagnostic, therapeutic, and protective medical devices can unlock electronic textiles (e-textiles) as point-of-care platform technologies on the human body, continuously monitoring vital signs and implementing round-the-clock treatment protocols in close proximity to the patient. This review comprehensively summarizes the research advances on e-textiles for wearable point-of-care systems. We start with a brief introduction to emphasize the significance of e-textiles in the current healthcare system. Then, we describe textile sensors for diagnosis, textile therapeutic devices for medical treatment, and textile protective devices for prevention, by highlighting their working mechanisms, representative materials, and clinical application scenarios. Afterward, we detail e-textiles' connection technologies as the gateway for real-time data transmission and processing in the context of 5G technologies and Internet of Things. Finally, we provide new insights into the remaining challenges and future directions in the field of e-textiles. Fueled by advances in chemistry and materials science, textile-based diagnostic devices, therapeutic devices, protective medical devices, and communication units are expected to interact synergistically to construct intelligent, wearable point-of-care textile platforms, ultimately illuminating the future of healthcare system in the Internet of Things era.
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Affiliation(s)
- Guorui Chen
- 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
| | - Xun Zhao
- 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
| | - Michael Bick
- 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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45
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Liu L, Bi M, Wang Y, Liu J, Jiang X, Xu Z, Zhang X. Artificial intelligence-powered microfluidics for nanomedicine and materials synthesis. NANOSCALE 2021; 13:19352-19366. [PMID: 34812823 DOI: 10.1039/d1nr06195j] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
Artificial intelligence (AI) is an emerging technology with great potential, and its robust calculation and analysis capabilities are unmatched by traditional calculation tools. With the promotion of deep learning and open-source platforms, the threshold of AI has also become lower. Combining artificial intelligence with traditional fields to create new fields of high research and application value has become a trend. AI has been involved in many disciplines, such as medicine, materials, energy, and economics. The development of AI requires the support of many kinds of data, and microfluidic systems can often mine object data on a large scale to support AI. Due to the excellent synergy between the two technologies, excellent research results have emerged in many fields. In this review, we briefly review AI and microfluidics and introduce some applications of their combination, mainly in nanomedicine and material synthesis. Finally, we discuss the development trend of the combination of the two technologies.
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Affiliation(s)
- Linbo Liu
- John A. Paulson School of Engineering and Applied Science, Harvard University, Cambridge, MA 02138, USA
| | - Mingcheng Bi
- Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou 310027, P.R. China
| | - Yunhua Wang
- John A. Paulson School of Engineering and Applied Science, Harvard University, Cambridge, MA 02138, USA
| | - Junfeng Liu
- Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou 310027, P.R. China
| | - Xiwen Jiang
- College of Biological Science and Engineering, Fuzhou university, Fuzhou 350108, P.R. China
| | - Zhongbin Xu
- Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou 310027, P.R. China
| | - Xingcai Zhang
- John A. Paulson School of Engineering and Applied Science, Harvard University, Cambridge, MA 02138, USA
- School of Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
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46
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Pezzotti G, Boschetto F, Ohgitani E, Fujita Y, Shin-Ya M, Adachi T, Yamamoto T, Kanamura N, Marin E, Zhu W, Nishimura I, Mazda O. Mechanisms of instantaneous inactivation of SARS-CoV-2 by silicon nitride bioceramic. Mater Today Bio 2021; 12:100144. [PMID: 34632359 PMCID: PMC8485720 DOI: 10.1016/j.mtbio.2021.100144] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 09/20/2021] [Accepted: 09/24/2021] [Indexed: 12/23/2022] Open
Abstract
The hydrolytic processes occurring at the surface of silicon nitride (Si3N4) bioceramic have been indicated as a powerful pathway to instantaneous inactivation of SARS-CoV-2 virus. However, the virus inactivation mechanisms promoted by Si3N4 remain yet to be elucidated. In this study, we provide evidence of the instantaneous damage incurred on the SARS-CoV-2 virus upon contact with Si3N4. We also emphasize the safety characteristics of Si3N4 for mammalian cells. Contact between the virions and micrometric Si3N4 particles immediately targeted a variety of viral molecules by inducing post-translational oxidative modifications of S-containing amino acids, nitration of the tyrosine residue in the spike receptor binding domain, and oxidation of RNA purines to form formamidopyrimidine. This structural damage in turn led to a reshuffling of the protein secondary structure. These clear fingerprints of viral structure modifications were linked to inhibition of viral functionality and infectivity. This study validates the notion that Si3N4 bioceramic is a safe and effective antiviral compound; and a primary antiviral candidate to replace the toxic and allergenic compounds presently used in contact with the human body and in long-term environmental sanitation.
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Affiliation(s)
- G Pezzotti
- Ceramic Physics Laboratory, Kyoto Institute of Technology, Sakyo-ku, Matsugasaki, Kyoto, 606-8585, Japan
- Department of Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, 465 Kajii-cho, Kyoto, 602-8566, Japan
- Department of Orthopedic Surgery, Tokyo Medical University, 6-7-1 Nishi-Shinjuku, Shinjuku-ku, 160-0023, Tokyo, Japan
- The Center for Advanced Medical Engineering and Informatics, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 565-0854, Japan
- Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University, 2-3-10 Kanda-Surugadai, Chiyoda-ku, Tokyo, 101-0062, Japan
| | - F Boschetto
- Ceramic Physics Laboratory, Kyoto Institute of Technology, Sakyo-ku, Matsugasaki, Kyoto, 606-8585, Japan
- Department of Dental Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - E Ohgitani
- Department of Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, 465 Kajii-cho, Kyoto, 602-8566, Japan
| | - Y Fujita
- Ceramic Physics Laboratory, Kyoto Institute of Technology, Sakyo-ku, Matsugasaki, Kyoto, 606-8585, Japan
| | - M Shin-Ya
- Department of Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, 465 Kajii-cho, Kyoto, 602-8566, Japan
| | - T Adachi
- Department of Dental Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - T Yamamoto
- Department of Dental Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - N Kanamura
- Department of Dental Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - E Marin
- Ceramic Physics Laboratory, Kyoto Institute of Technology, Sakyo-ku, Matsugasaki, Kyoto, 606-8585, Japan
- Department of Dental Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - W Zhu
- Ceramic Physics Laboratory, Kyoto Institute of Technology, Sakyo-ku, Matsugasaki, Kyoto, 606-8585, Japan
| | - I Nishimura
- Division of Advanced Prosthodontics, The Jane and Jerry Weintraub Center for Reconstructive Biotechnology, UCLA School of Dentistry, Los Angeles, CA, 90095, USA
| | - O Mazda
- Department of Immunology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, 465 Kajii-cho, Kyoto, 602-8566, Japan
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