1
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Lin J, Chen X, Zhang P, Xue Y, Feng Y, Ni Z, Tao Y, Wang Y, Liu J. Wireless Bioelectronics for In Vivo Pressure Monitoring with Mechanically-Compliant Hydrogel Biointerfaces. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2400181. [PMID: 38419474 DOI: 10.1002/adma.202400181] [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: 01/04/2024] [Revised: 02/16/2024] [Indexed: 03/02/2024]
Abstract
Recent electronics-tissues biointefacing technology has offered unprecedented opportunities for long-term disease diagnosis and treatment. It remains a grand challenge to robustly anchor the pressure sensing bioelectronics onto specific organs, since the periodically-varying stress generated by normal biological processes may pose high risk of interfacial failures. Here, a general yet reliable approach is reported to achieve the robust hydrogel interface between wireless pressure sensor and biological tissues/organs, featuring highly desirable mechanical compliance and swelling resistance, despite the direct contact with biofluids and dynamic conditions. The sensor is operated wirelessly through inductive coupling, characterizing minimal hysteresis, fast response times, excellent stability, and robustness, thus allowing for easy handling and eliminating the necessity for surgical extraction after a functional period. The operation of the wireless sensor has been demonstrated with a custom-made pressure sensing model and in vivo intracranial pressure monitoring in rats. This technology may be advantageous in real-time post-operative monitoring of various biological inner pressures after the reconstructive surgery, thus guaranteeing the timely treatment of lethal diseases.
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Affiliation(s)
- Jingsen Lin
- Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Xingmei Chen
- Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Pei Zhang
- Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yu Xue
- Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yinghui Feng
- Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Zhipeng Ni
- Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yue Tao
- Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yafei Wang
- Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Ji Liu
- Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
- Shenzhen Key Laboratory of Intelligent Robotics and Flexible Manufacturing Systems, Southern University of Science and Technology, Shenzhen, 518055, China
- Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities, Southern University of Science and Technology, Shenzhen, 518055, China
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2
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Tang H, Yang Y, Liu Z, Li W, Zhang Y, Huang Y, Kang T, Yu Y, Li N, Tian Y, Liu X, Cheng Y, Yin Z, Jiang X, Chen X, Zang J. Injectable ultrasonic sensor for wireless monitoring of intracranial signals. Nature 2024; 630:84-90. [PMID: 38840015 DOI: 10.1038/s41586-024-07334-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 03/19/2024] [Indexed: 06/07/2024]
Abstract
Direct and precise monitoring of intracranial physiology holds immense importance in delineating injuries, prognostication and averting disease1. Wired clinical instruments that use percutaneous leads are accurate but are susceptible to infection, patient mobility constraints and potential surgical complications during removal2. Wireless implantable devices provide greater operational freedom but include issues such as limited detection range, poor degradation and difficulty in size reduction in the human body3. Here we present an injectable, bioresorbable and wireless metastructured hydrogel (metagel) sensor for ultrasonic monitoring of intracranial signals. The metagel sensors are cubes 2 × 2 × 2 mm3 in size that encompass both biodegradable and stimulus-responsive hydrogels and periodically aligned air columns with a specific acoustic reflection spectrum. Implanted into intracranial space with a puncture needle, the metagel deforms in response to physiological environmental changes, causing peak frequency shifts of reflected ultrasound waves that can be wirelessly measured by an external ultrasound probe. The metagel sensor can independently detect intracranial pressure, temperature, pH and flow rate, realize a detection depth of 10 cm and almost fully degrade within 18 weeks. Animal experiments on rats and pigs indicate promising multiparametric sensing performances on a par with conventional non-resorbable wired clinical benchmarks.
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Affiliation(s)
- Hanchuan Tang
- School of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- Innovative Center for Flexible Devices (iFLEX), School of Materials Science and Engineering, Nanyang Technological University, Singapore, Republic of Singapore
| | - Yueying Yang
- School of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
| | - Zhen Liu
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenlong Li
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore
| | - Yipeng Zhang
- School of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
| | - Yizhou Huang
- School of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
| | - Tianyu Kang
- School of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
| | - Yang Yu
- School of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
| | - Na Li
- School of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
| | - Ye Tian
- School of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
| | - Xurui Liu
- School of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
| | - Yifan Cheng
- School of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
| | - Zhouping Yin
- Flexible Electronics Research Center, The State Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaobing Jiang
- Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Xiaodong Chen
- Innovative Center for Flexible Devices (iFLEX), School of Materials Science and Engineering, Nanyang Technological University, Singapore, Republic of Singapore.
| | - Jianfeng Zang
- School of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.
- The State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China.
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3
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Papani R, Li Y, Wang S. Soft mechanical sensors for wearable and implantable applications. WILEY INTERDISCIPLINARY REVIEWS. NANOMEDICINE AND NANOBIOTECHNOLOGY 2024; 16:e1961. [PMID: 38723798 PMCID: PMC11108230 DOI: 10.1002/wnan.1961] [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: 08/24/2023] [Revised: 04/04/2024] [Accepted: 04/07/2024] [Indexed: 05/23/2024]
Abstract
Wearable and implantable sensing of biomechanical signals such as pressure, strain, shear, and vibration can enable a multitude of human-integrated applications, including on-skin monitoring of vital signs, motion tracking, monitoring of internal organ condition, restoration of lost/impaired mechanoreception, among many others. The mechanical conformability of such sensors to the human skin and tissue is critical to enhancing their biocompatibility and sensing accuracy. As such, in the recent decade, significant efforts have been made in the development of soft mechanical sensors. To satisfy the requirements of different wearable and implantable applications, such sensors have been imparted with various additional properties to make them better suited for the varied contexts of human-integrated applications. In this review, focusing on the four major types of soft mechanical sensors for pressure, strain, shear, and vibration, we discussed the recent material and device design innovations for achieving several important properties, including flexibility and stretchability, bioresorbability and biodegradability, self-healing properties, breathability, transparency, wireless communication capabilities, and high-density integration. We then went on to discuss the current research state of the use of such novel soft mechanical sensors in wearable and implantable applications, based on which future research needs were further discussed. This article is categorized under: Diagnostic Tools > Biosensing Diagnostic Tools > Diagnostic Nanodevices Implantable Materials and Surgical Technologies > Nanomaterials and Implants.
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Affiliation(s)
- Rithvik Papani
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois, USA
| | - Yang Li
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois, USA
| | - Sihong Wang
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois, USA
- Nanoscience and Technology Division and Center for Molecular Engineering, Argonne National Laboratory, Lemont, Illinois, United States
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4
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Kim SH, Basir A, Avila R, Lim J, Hong SW, Choe G, Shin JH, Hwang JH, Park SY, Joo J, Lee C, Choi J, Lee B, Choi KS, Jung S, Kim TI, Yoo H, Jung YH. Strain-invariant stretchable radio-frequency electronics. Nature 2024; 629:1047-1054. [PMID: 38778108 DOI: 10.1038/s41586-024-07383-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 04/04/2024] [Indexed: 05/25/2024]
Abstract
Wireless modules that provide telecommunications and power-harvesting capabilities enabled by radio-frequency (RF) electronics are vital components of skin-interfaced stretchable electronics1-7. However, recent studies on stretchable RF components have demonstrated that substantial changes in electrical properties, such as a shift in the antenna resonance frequency, occur even under relatively low elastic strains8-15. Such changes lead directly to greatly reduced wireless signal strength or power-transfer efficiency in stretchable systems, particularly in physically dynamic environments such as the surface of the skin. Here we present strain-invariant stretchable RF electronics capable of completely maintaining the original RF properties under various elastic strains using a 'dielectro-elastic' material as the substrate. Dielectro-elastic materials have physically tunable dielectric properties that effectively avert frequency shifts arising in interfacing RF electronics. Compared with conventional stretchable substrate materials, our material has superior electrical, mechanical and thermal properties that are suitable for high-performance stretchable RF electronics. In this paper, we describe the materials, fabrication and design strategies that serve as the foundation for enabling the strain-invariant behaviour of key RF components based on experimental and computational studies. Finally, we present a set of skin-interfaced wireless healthcare monitors based on strain-invariant stretchable RF electronics with a wireless operational distance of up to 30 m under strain.
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Affiliation(s)
- Sun Hong Kim
- Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea
| | - Abdul Basir
- Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea
| | - Raudel Avila
- Department of Mechanical Engineering, Rice University, Houston, TX, USA
| | - Jaeman Lim
- Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea
| | - Seong Woo Hong
- Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea
| | - Geonoh Choe
- Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea
| | - Joo Hwan Shin
- School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea
- Biomedical Institute for Convergence at SKKU (BICS), Sungkyunkwan University (SKKU), Suwon, Republic of Korea
| | - Jin Hee Hwang
- Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea
| | - Sun Young Park
- Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea
| | - Jiho Joo
- Superintelligence Creative Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea
| | - Chanmi Lee
- Superintelligence Creative Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea
| | - Jaehoon Choi
- Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea
| | - Byunghun Lee
- Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea
- Department of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea
| | - Kwang-Seong Choi
- Superintelligence Creative Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea
| | - Sungmook Jung
- Division of Advanced Materials, Korea Research Institute of Chemical Technology (KRICT), Daejeon, Republic of Korea
| | - Tae-Il Kim
- School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea
- Biomedical Institute for Convergence at SKKU (BICS), Sungkyunkwan University (SKKU), Suwon, Republic of Korea
| | - Hyoungsuk Yoo
- Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea.
- Department of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea.
| | - Yei Hwan Jung
- Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea.
- Institute of Nano Science and Technology, Hanyang University, Seoul, Republic of Korea.
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5
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Xue Y, Wu F, Zhao X, Ji W, Hou L, Yu P, Mao L. Highly Sensitive Near-Field Electrochemical Sensor for In Vivo Monitoring of Respiratory Patterns. ACS Sens 2024; 9:2149-2155. [PMID: 38579117 DOI: 10.1021/acssensors.4c00261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2024]
Abstract
Real-time tracking of respiratory patterns provides noninvasive and quick access for evaluating pathophysiological conditions yet remains challenging due to limited temporal resolution and poor sensitivity to dig out fingerprints of respiratory waveforms. Here, we report an electrochemical sensor for accurately tracing respiratory patterns of small animal models based on the electrochemical impedance mechanism for wireless coupling of a graphdiyne oxide (GYDO)-modified sensing coil chip and a reader coil chip via near-field magnetic induction. In the electrochemical impedance measurement mode, an alternating current is applied through the reader coil chip to perturb proton transport at the GYDO interface of the sensing coil chip. As demonstrated, a high-frequency perturbing condition significantly reduces the interfacial resistance for proton transport by 5 orders of magnitude under 95% relative humidity (RH) and improves the low-humidity responses with a limit of detection down to 0.2% RH, enabling in vivo accurate profiling of respiratory patterns on epileptic rats. The electrochemical impedance coupling system holds great potential for new wireless bioelectronics.
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Affiliation(s)
- Yifei Xue
- College of Chemistry, Beijing Normal University, Beijing 100875, China
| | - Fei Wu
- College of Chemistry, Beijing Normal University, Beijing 100875, China
| | - Xudong Zhao
- College of Chemistry, Beijing Normal University, Beijing 100875, China
| | - Wenliang Ji
- College of Chemistry, Beijing Normal University, Beijing 100875, China
| | - Lijuan Hou
- College of Chemistry, Beijing Normal University, Beijing 100875, China
| | - Ping Yu
- Beijing National Laboratory for Molecular Science, Key Laboratory of Analytical Chemistry for Living Biosystems Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Lanqun Mao
- College of Chemistry, Beijing Normal University, Beijing 100875, China
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6
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Li HN, Zhang C, Yang HC, Liang HQ, Wang Z, Xu ZK. Solid-state, liquid-free ion-conducting elastomers: rising-star platforms for flexible intelligent devices. MATERIALS HORIZONS 2024; 11:1152-1176. [PMID: 38165799 DOI: 10.1039/d3mh01812a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2024]
Abstract
Soft ionic conductors have emerged as a powerful toolkit to engineer transparent flexible intelligent devices that go beyond their conventional counterparts. Particularly, due to their superior capacities of eliminating the evaporation, freezing and leakage issues of the liquid phase encountered with hydrogels, organohydrogels and ionogels, the emerging solid-state, liquid-free ion-conducting elastomers have been largely recognized as ideal candidates for intelligent flexible devices. However, despite their extensive development, a comprehensive and timely review in this emerging field is lacking, particularly from the perspective of design principles, advanced manufacturing, and distinctive applications. Herein, we present (1) the design principles and intriguing merits of solid-state, liquid-free ion-conducting elastomers; (2) the methods to manufacture solid-state, liquid-free ion-conducting elastomers with preferential architectures and functions using advanced technologies such as 3D printing; (3) how to leverage solid-state, liquid-free ion-conducting elastomers in exploiting advanced applications, especially in the fields of flexible wearable sensors, bioelectronics and energy harvesting; (4) what are the unsolved scientific and technical challenges and future opportunities in this multidisciplinary field. We envision that this review will provide a paradigm shift to trigger insightful thinking and innovation in the development of intelligent flexible devices and beyond.
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Affiliation(s)
- Hao-Nan Li
- MOE Key Laboratory of Macromolecular Synthesis and Functionalization, MOE Engineering Research Center of Membrane and Water Treatment Technology, and Key Laboratory of Adsorption and Separation Materials & Technologies of Zhejiang Province, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, 310027, China.
| | - Chao Zhang
- MOE Key Laboratory of Macromolecular Synthesis and Functionalization, MOE Engineering Research Center of Membrane and Water Treatment Technology, and Key Laboratory of Adsorption and Separation Materials & Technologies of Zhejiang Province, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, 310027, China.
| | - Hao-Cheng Yang
- MOE Key Laboratory of Macromolecular Synthesis and Functionalization, MOE Engineering Research Center of Membrane and Water Treatment Technology, and Key Laboratory of Adsorption and Separation Materials & Technologies of Zhejiang Province, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, 310027, China.
| | - Hong-Qing Liang
- MOE Key Laboratory of Macromolecular Synthesis and Functionalization, MOE Engineering Research Center of Membrane and Water Treatment Technology, and Key Laboratory of Adsorption and Separation Materials & Technologies of Zhejiang Province, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, 310027, China.
| | - Zuankai Wang
- Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China.
| | - Zhi-Kang Xu
- MOE Key Laboratory of Macromolecular Synthesis and Functionalization, MOE Engineering Research Center of Membrane and Water Treatment Technology, and Key Laboratory of Adsorption and Separation Materials & Technologies of Zhejiang Province, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, 310027, China.
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7
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Farooq M, Riaz ur Rehman M, Vazquez P, Wijns W, Shahzad A, Kraśny MJ. Open-source controller for dynamic cardiovascular models. HARDWAREX 2024; 17:e00500. [PMID: 38188700 PMCID: PMC10767264 DOI: 10.1016/j.ohx.2023.e00500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 12/07/2023] [Accepted: 12/09/2023] [Indexed: 01/09/2024]
Abstract
Cardiovascular pressure sensors require dedicated, reliable, and customisable performance testing equipment. Devices available on the market, such as pulsatile pumps and pulse multipliers, offer limited adaptability to the needs of pressure sensor testing or are highly complex tools designed for other purposes. Therefore, there is a strong need to provide an adaptable and versatile device for characterisation during prototype development, prior to animal model testing. Early development requires detailed characterisation of a sensor performance in a realistic environmental scenario. To address this need, we adapted an off-the-shelf pressure chamber with a custom Arduino-based controller to achieve a rapid change in pressure that simulates the pulsatile profile of human blood pressure. The system is a highly customisable tool, and we have experimentally shown that it works successfully in a wide range of pressures from 30 mmHg to 400 mmHg with a resolution of 2 mmHg. By adjusting the chamber volume using a water balloon, we achieved a cycle rate of up to 120 beats per minute. The device can be operated directly from the Arduino IDE or with a customised graphical user interface developed by our research group. The proposed system is intended to assist other researchers in the development of industrial and biomedical pressure sensors.
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Affiliation(s)
- Muhammad Farooq
- Smart Sensors Lab, The Lambe Institute for Translational Medicine, School of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Ireland
| | - Muhammad Riaz ur Rehman
- Smart Sensors Lab, The Lambe Institute for Translational Medicine, School of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Ireland
| | - Patricia Vazquez
- Smart Sensors Lab, The Lambe Institute for Translational Medicine, School of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Ireland
| | - William Wijns
- Smart Sensors Lab, The Lambe Institute for Translational Medicine, School of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Ireland
| | - Atif Shahzad
- Smart Sensors Lab, The Lambe Institute for Translational Medicine, School of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Ireland
- Centre for Systems Modelling and Quantitative Biomedicine (SMQB), University of Birmingham, B15 2TT, United Kingdom
| | - Marcin J. Kraśny
- Smart Sensors Lab, The Lambe Institute for Translational Medicine, School of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Ireland
- Translational Medical Device Lab, The Lambe Institute for Translational Medicine, School of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Ireland
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8
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Zhou Y, Wang S, Yin J, Wang J, Manshaii F, Xiao X, Zhang T, Bao H, Jiang S, Chen J. Flexible Metasurfaces for Multifunctional Interfaces. ACS NANO 2024; 18:2685-2707. [PMID: 38241491 DOI: 10.1021/acsnano.3c09310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2024]
Abstract
Optical metasurfaces, capable of manipulating the properties of light with a thickness at the subwavelength scale, have been the subject of extensive investigation in recent decades. This research has been mainly driven by their potential to overcome the limitations of traditional, bulky optical devices. However, most existing optical metasurfaces are confined to planar and rigid designs, functions, and technologies, which greatly impede their evolution toward practical applications that often involve complex surfaces. The disconnect between two-dimensional (2D) planar structures and three-dimensional (3D) curved surfaces is becoming increasingly pronounced. In the past two decades, the emergence of flexible electronics has ushered in an emerging era for metasurfaces. This review delves into this cutting-edge field, with a focus on both flexible and conformal design and fabrication techniques. Initially, we reflect on the milestones and trajectories in modern research of optical metasurfaces, complemented by a brief overview of their theoretical underpinnings and primary classifications. We then showcase four advanced applications of optical metasurfaces, emphasizing their promising prospects and relevance in areas such as imaging, biosensing, cloaking, and multifunctionality. Subsequently, we explore three key trends in optical metasurfaces, including mechanically reconfigurable metasurfaces, digitally controlled metasurfaces, and conformal metasurfaces. Finally, we summarize our insights on the ongoing challenges and opportunities in this field.
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Affiliation(s)
- Yunlei Zhou
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Shaolei Wang
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Junyi Yin
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Jianjun Wang
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Farid Manshaii
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Tianqi Zhang
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Hong Bao
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Shan Jiang
- Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
- School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
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9
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Yu A, Zhu M, Chen C, Li Y, Cui H, Liu S, Zhao Q. Implantable Flexible Sensors for Health Monitoring. Adv Healthc Mater 2024; 13:e2302460. [PMID: 37816513 DOI: 10.1002/adhm.202302460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 10/05/2023] [Indexed: 10/12/2023]
Abstract
Flexible sensors, as a significant component of flexible electronics, have attracted great interest the realms of human-computer interaction and health monitoring due to their high conformability, adjustable sensitivity, and excellent durability. In comparison to wearable sensor-based in vitro health monitoring, the use of implantable flexible sensors (IFSs) for in vivo health monitoring offers more accurate and reliable vital sign information due to their ability to adapt and directly integrate with human tissue. IFSs show tremendous promise in the field of health monitoring, with unique advantages such as robust signal reading capabilities, lightweight design, flexibility, and biocompatibility. Herein, a review of IFSs for vital signs monitoring is detailly provided, highlighting the essential conditions for in vivo applications. As the prerequisites of IFSs, the stretchability and wireless self-powered properties of the sensor are discussed, with a special attention paid to the sensing materials which can maintain prominent biosafety (i.e., biocompatibility, biodegradability, bioresorbability). Furthermore, the applications of IFSs monitoring various parts of the body are described in detail, with a summary in brain monitoring, eye monitoring, and blood monitoring. Finally, the challenges as well as opportunities in the development of next-generation IFSs are presented.
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Affiliation(s)
- Aoxi Yu
- College of Electronic and Optical Engineering, and College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, 9 Wenyuan, Nanjing, 210023, P. R. China
| | - Mingye Zhu
- State Key Laboratory of Organic Electronics and Information Displays, and Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing, 210023, P. R. China
| | - Congkai Chen
- State Key Laboratory of Organic Electronics and Information Displays, and Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing, 210023, P. R. China
| | - Yang Li
- College of Electronic and Optical Engineering, and College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, 9 Wenyuan, Nanjing, 210023, P. R. China
| | - Haixia Cui
- State Key Laboratory of Organic Electronics and Information Displays, and Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing, 210023, P. R. China
| | - Shujuan Liu
- State Key Laboratory of Organic Electronics and Information Displays, and Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing, 210023, P. R. China
| | - Qiang Zhao
- College of Electronic and Optical Engineering, and College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, 9 Wenyuan, Nanjing, 210023, P. R. China
- State Key Laboratory of Organic Electronics and Information Displays, and Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing, 210023, P. R. China
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10
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Yang H, Zheng H, Duan Y, Xu T, Xie H, Du H, Si C. Nanocellulose-graphene composites: Preparation and applications in flexible electronics. Int J Biol Macromol 2023; 253:126903. [PMID: 37714239 DOI: 10.1016/j.ijbiomac.2023.126903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 08/18/2023] [Accepted: 09/12/2023] [Indexed: 09/17/2023]
Abstract
In recent years, the pursuit of high-performance nano-flexible electronic composites has led researchers to focus on nanocellulose-graphene composites. Nanocellulose has garnered widespread interest due to its exceptional properties and unique structure, such as renewability, biodegradability, and biocompatibility. However, nanocellulose materials are deficient in electrical conductivity, which limits their applications in flexible electronics. On the other hand, graphene boasts remarkable properties, including a high specific surface area, robust mechanical strength, and high electrical conductivity, making it a promising carbon-based nanomaterial. Consequently, research efforts have intensified in exploring the preparation of graphene-nanocellulose flexible electronic composites. Although there have been studies on the application of nanocellulose and graphene, there is still a lack of comprehensive information on the application of nanocellulose/graphene in flexible electronic composites. This review examines the recent developments in nanocellulose/graphene flexible electronic composites and their applications. In this review, the preparation of nanocellulose/graphene flexible electronic composites from three aspects: composite films, aerogels, and hydrogels are first introduced. Next, the recent applications of nanocellulose/graphene flexible electronic composites were summarized including sensors, supercapacitors, and electromagnetic shielding. Finally, the challenges and future directions in this emerging field was discussed.
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Affiliation(s)
- Hongbin Yang
- State Key Laboratory of Biobased Fiber Manufacturing Technology, Tianjin Key Laboratory of Pulp and Paper, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Hongjun Zheng
- Department of Chemistry, Yale University, New Haven, CT 06520, USA
| | - Yaxin Duan
- State Key Laboratory of Biobased Fiber Manufacturing Technology, Tianjin Key Laboratory of Pulp and Paper, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Ting Xu
- State Key Laboratory of Biobased Fiber Manufacturing Technology, Tianjin Key Laboratory of Pulp and Paper, Tianjin University of Science and Technology, Tianjin 300457, China.
| | - Hongxiang Xie
- State Key Laboratory of Biobased Fiber Manufacturing Technology, Tianjin Key Laboratory of Pulp and Paper, Tianjin University of Science and Technology, Tianjin 300457, China.
| | - Haishun Du
- Department of Chemical Engineering, Auburn University, Auburn, AL 36849, USA.
| | - Chuanling Si
- State Key Laboratory of Biobased Fiber Manufacturing Technology, Tianjin Key Laboratory of Pulp and Paper, Tianjin University of Science and Technology, Tianjin 300457, China; National Engineering Research Center of Low-Carbon Processing and Utilization of Forest Biomass, Nanjing Forestry University, Nanjing 210037, China.
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11
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Zhang H, Zhang Y. Rational Design of Flexible Mechanical Force Sensors for Healthcare and Diagnosis. MATERIALS (BASEL, SWITZERLAND) 2023; 17:123. [PMID: 38203977 PMCID: PMC10780056 DOI: 10.3390/ma17010123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 12/13/2023] [Accepted: 12/22/2023] [Indexed: 01/12/2024]
Abstract
Over the past decade, there has been a significant surge in interest in flexible mechanical force sensing devices and systems. Tremendous efforts have been devoted to the development of flexible mechanical force sensors for daily healthcare and medical diagnosis, driven by the increasing demand for wearable/portable devices in long-term healthcare and precision medicine. In this review, we summarize recent advances in diverse categories of flexible mechanical force sensors, covering piezoresistive, capacitive, piezoelectric, triboelectric, magnetoelastic, and other force sensors. This review focuses on their working principles, design strategies and applications in healthcare and diagnosis, with an emphasis on the interplay among the sensor architecture, performance, and application scenario. Finally, we provide perspectives on the remaining challenges and opportunities in this field, with particular discussions on problem-driven force sensor designs, as well as developments of novel sensor architectures and intelligent mechanical force sensing systems.
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Affiliation(s)
- Hang Zhang
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore;
| | - Yihui Zhang
- Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
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12
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Yang M, Ye Z, Ren Y, Farhat M, Chen PY. Materials, Designs, and Implementations of Wearable Antennas and Circuits for Biomedical Applications: A Review. MICROMACHINES 2023; 15:26. [PMID: 38258145 PMCID: PMC10819388 DOI: 10.3390/mi15010026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 12/11/2023] [Accepted: 12/21/2023] [Indexed: 01/24/2024]
Abstract
The intersection of biomedicine and radio frequency (RF) engineering has fundamentally transformed self-health monitoring by leveraging soft and wearable electronic devices. This paradigm shift presents a critical challenge, requiring these devices and systems to possess exceptional flexibility, biocompatibility, and functionality. To meet these requirements, traditional electronic systems, such as sensors and antennas made from rigid and bulky materials, must be adapted through material science and schematic design. Notably, in recent years, extensive research efforts have focused on this field, and this review article will concentrate on recent advancements. We will explore the traditional/emerging materials for highly flexible and electrically efficient wearable electronics, followed by systematic designs for improved functionality and performance. Additionally, we will briefly overview several remarkable applications of wearable electronics in biomedical sensing. Finally, we provide an outlook on potential future directions in this developing area.
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Affiliation(s)
- Minye Yang
- State Key Laboratory for Manufacturing Systems Engineering, Electronic Materials Research Laboratory, Key Laboratory of the Ministry of Education, Engineering Research Center of Spin Quantum Sensor Chips, Universities of Shaanxi Province, School of Electronic Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China
- Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, IL 60607, USA; (Z.Y.); (Y.R.); (P.-Y.C.)
| | - Zhilu Ye
- Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, IL 60607, USA; (Z.Y.); (Y.R.); (P.-Y.C.)
- State Key Laboratory for Manufacturing Systems Engineering, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Center for Mitochondrial Biology and Medicine, School of Life Science and Technology, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technology, Xi’an Key Laboratory for Biomedical Testing and High-end Equipment, Xi’an Jiaotong University, Xi’an 710049, China
| | - Yichong Ren
- Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, IL 60607, USA; (Z.Y.); (Y.R.); (P.-Y.C.)
| | - Mohamed Farhat
- Division of Computer, Electrical and Mathematical Sciences and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia;
| | - Pai-Yen Chen
- Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, IL 60607, USA; (Z.Y.); (Y.R.); (P.-Y.C.)
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13
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Kazemi N, Abdolrazzaghi M, Light PE, Musilek P. In-human testing of a non-invasive continuous low-energy microwave glucose sensor with advanced machine learning capabilities. Biosens Bioelectron 2023; 241:115668. [PMID: 37774465 DOI: 10.1016/j.bios.2023.115668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 07/08/2023] [Accepted: 09/03/2023] [Indexed: 10/01/2023]
Abstract
Continuous glucose monitoring schemes that avoid finger pricking are of utmost importance to enhance the comfort and lifestyle of diabetic patients. To this aim, we propose a microwave planar sensing platform as a potent sensing technology that extends its applications to biomedical analytes. In this paper, a compact planar resonator-based sensor is introduced for noncontact sensing of glucose. Furthermore, in vivo and in-vitro tests using a microfluidic channel system and in clinical trial settings demonstrate its reliable operation. The proposed sensor offers real-time response and a high linear correlation (R2 ∼ 0.913) between the measured sensor response and the blood glucose level (GL). The sensor is also enhanced with machine learning to predict the variation of body glucose levels for non-diabetic and diabetic patients. This addition is instrumental in triggering preemptive measures in cases of unusual glucose level trends. In addition, it allows for the detection of common artifacts of the sensor as anomalies so that they can be removed from the measured data. The proposed system is designed to noninvasively monitor interstitial glucose levels in humans, introducing the opportunity to create a customized wearable apparatus with the ability to learn.
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Affiliation(s)
- Nazli Kazemi
- Electrical and Computer Engineering, University of Alberta, 116 St., Edmonton, T6G 2R3, AB, Canada.
| | | | - Peter E Light
- Faculty of Medicine and Dentistry Department of Pharmacology, Alberta Diabetes Institute, University of Alberta, 112 St., Edmonton, T6G 2R3, AB, Canada.
| | - Petr Musilek
- Electrical and Computer Engineering, University of Alberta, 116 St., Edmonton, T6G 2R3, AB, Canada; Applied Cybernetics, University of Hradec Králové, Rokitanského 62/26, Hradec Králové, 500 03, Czechia, Czech Republic.
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14
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Shang C, Fu B, Tuo J, Guo X, Li Z, Wang Z, Xu L, Guo J. Soft Biomimetic Fiber-Optic Tactile Sensors Capable of Discriminating Temperature and Pressure. ACS APPLIED MATERIALS & INTERFACES 2023; 15:53264-53272. [PMID: 37934693 DOI: 10.1021/acsami.3c12712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
Tactile sensors with high softness and multisensory functions are highly desirable for applications in humanoid robotics, smart prosthetics, and human-machine interfaces. Here, we report a soft biomimetic fiber-optic tactile (SBFT) sensor that offers skin-like tactile sensing abilities to perceive and discriminate temperature and pressure. The SBFT sensor is fabricated by encapsulating a macrobent fiber Bragg grating (FBG) in an elastomeric droplet-shaped structure that results in two optical resonances associated with the FBG and excited whispering gallery modes (WGMs) propagating along the bent region. Benefiting from the different thermo-optic and stress-optic effects of FBG and WGM resonances, the pressure and temperature can be fully decoupled with a high precision of 0.2 °C and 0.8 mN, respectively. To achieve a compact system for signal demodulation, a single-cavity dual-comb fiber laser is developed to interrogate the SBFT sensor based on dual-comb spectroscopy, which enables fast spectral sampling with a single photodiode. We show that the SBFT sensor is capable of perceiving pressure, temperature, and hardness in touching soft tissues and human skins, demonstrating great promise for soft tissue palpation and human-like robotic perception.
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Affiliation(s)
- Ce Shang
- School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
| | - Bo Fu
- School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
- Key Laboratory of Big Data-Based Precision Medicine Ministry of Industry and Information Technology, School of Engineering Medicine, Beihang University, Beijing 100191, China
| | - Jialin Tuo
- School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
| | - Xiaoyan Guo
- School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
| | - Zhuozhou Li
- School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
| | - Zhixin Wang
- School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
| | - Lijun Xu
- School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
| | - Jingjing Guo
- School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
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15
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Das KK, Basu B, Maiti P, Dubey AK. Piezoelectric nanogenerators for self-powered wearable and implantable bioelectronic devices. Acta Biomater 2023; 171:85-113. [PMID: 37673230 DOI: 10.1016/j.actbio.2023.08.057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 08/05/2023] [Accepted: 08/29/2023] [Indexed: 09/08/2023]
Abstract
One of the recent innovations in the field of personalized healthcare is the piezoelectric nanogenerators (PENGs) for various clinical applications, including self-powered sensors, drug delivery, tissue regeneration etc. Such innovations are perceived to potentially address some of the unmet clinical needs, e.g., limited life-span of implantable biomedical devices (e.g., pacemaker) and replacement related complications. To this end, the generation of green energy from biomechanical sources for wearable and implantable bioelectronic devices gained considerable attention in the scientific community. In this perspective, this article provides a comprehensive state-of-the-art review on the recent developments in the processing, applications and associated concerns of piezoelectric materials (synthetic/biological) for personalized healthcare applications. In particular, this review briefly discusses the concepts of piezoelectric energy harvesting, piezoelectric materials (ceramics, polymers, nature-inspired), and the various applications of piezoelectric nanogenerators, such as, self-powered sensors, self-powered pacemakers, deep brain stimulators etc. Important distinction has been made in terms of the potential clinical applications of PENGs, either as wearable or implantable bioelectronic devices. While discussing the potential applications as implantable devices, the biocompatibility of the several hybrid devices using large animal models is summarized. This review closes with the futuristic vision of integrating data science approaches in developmental pipeline of PENGs as well as clinical translation of the next generation PENGs. STATEMENT OF SIGNIFICANCE: Piezoelectric nanogenerators (PENGs) hold great promise for transforming personalized healthcare through self-powered sensors, drug delivery systems, and tissue regeneration. The limited battery life of implantable devices like pacemakers presents a significant challenge, leading to complications from repititive surgeries. To address such a critical issue, researchers are focusing on generating green energy from biomechanical sources to power wearable and implantable bioelectronic devices. This comprehensive review critically examines the latest advancements in synthetic and nature-inspired piezoelectric materials for PENGs in personalized healthcare. Moreover, it discusses the potential of piezoelectric materials and data science approaches to enhance the efficiency and reliability of personalized healthcare devices for clinical applications.
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Affiliation(s)
- Kuntal Kumar Das
- Department of Ceramic Engineering, Indian Institute of Technology (BHU), Varanasi 221005, India
| | - Bikramjit Basu
- Materials Research Center, Indian Institute of Science, Bengaluru 560012, India
| | - Pralay Maiti
- SMST, Indian Institute of Technology (BHU), Varanasi 221005, India
| | - Ashutosh Kumar Dubey
- Department of Ceramic Engineering, Indian Institute of Technology (BHU), Varanasi 221005, India.
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16
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Chen R, Luo T, Wang J, Wang R, Zhang C, Xie Y, Qin L, Yao H, Zhou W. Nonlinearity synergy: An elegant strategy for realizing high-sensitivity and wide-linear-range pressure sensing. Nat Commun 2023; 14:6641. [PMID: 37863948 PMCID: PMC10589270 DOI: 10.1038/s41467-023-42361-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 10/09/2023] [Indexed: 10/22/2023] Open
Abstract
Flexible pressure sensors are indispensable components in various applications such as intelligent robots and wearable devices, whereas developing flexible pressure sensors with both high sensitivity and wide linear range remains a great challenge. Here, we present an elegant strategy to address this challenge by taking advantage of a pyramidal carbon foam array as the sensing layer and an elastomer spacer as the stiffness regulator, realizing an unprecedentedly high sensitivity of 24.6 kPa-1 and an ultra-wide linear range of 1.4 MPa together. Such a wide range of linearity is attributed to the synergy between the nonlinear piezoresistivity of the sensing layer and the nonlinear elasticity of the stiffness regulator. The great application potential of our sensor in robotic manipulation, healthcare monitoring, and human-machine interface is demonstrated. Our design strategy can be extended to the other types of flexible sensors calling for both high sensitivity and wide-range linearity, facilitating the development of high-performance flexible pressure sensors for intelligent robotics and wearable devices.
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Affiliation(s)
- Rui Chen
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China
| | - Tao Luo
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China
| | - Jincheng Wang
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China
| | - Renpeng Wang
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China
| | - Chen Zhang
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China
| | - Yu Xie
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China
| | - Lifeng Qin
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China
| | - Haimin Yao
- Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China.
| | - Wei Zhou
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China.
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17
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Baek J, Shan Y, Mylvaganan M, Zhang Y, Yang X, Qin F, Zhao K, Song HW, Mao H, Lee S. Mold-Free Manufacturing of Highly Sensitive and Fast-Response Pressure Sensors Through High-Resolution 3D Printing and Conformal Oxidative Chemical Vapor Deposition Polymers. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2304070. [PMID: 37463430 DOI: 10.1002/adma.202304070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 07/03/2023] [Accepted: 07/13/2023] [Indexed: 07/20/2023]
Abstract
A new manufacturing paradigm is showcased to exclude conventional mold-dependent manufacturing of pressure sensors, which typically requires a series of complex and expensive patterning processes. This mold-free manufacturing leverages high-resolution 3D-printed multiscale microstructures as the substrate and a gas-phase conformal polymer coating technique to complete the mold-free sensing platform. The array of dome and spike structures with a controlled spike density of a 3D-printed substrate ensures a large contact surface with pressures applied and extended linearity in a wider pressure range. For uniform coating of sensing elements on the microstructured surface, oxidative chemical vapor deposition is employed to deposit a highly conformal and conductive sensing element, poly(3,4-ethylenedioxythiophene) at low temperatures (<60 °C). The fabricated pressure sensor reacts sensitively to various ranges of pressures (up to 185 kPa-1 ) depending on the density of the multiscale features and shows an ultrafast response time (≈36 µs). The mechanism investigations through the finite element analysis identify the effect of the multiscale structure on the figure-of-merit sensing performance. These unique findings are expected to be of significant relevance to technology that requires higher sensing capability, scalability, and facile adjustment of a sensor geometry in a cost-effective manufacturing manner.
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Affiliation(s)
- Jinwook Baek
- School of Engineering Technology, Purdue University, 401 N. Grant Street, West Lafayette, IN, 47907, USA
| | - Yujie Shan
- School of Engineering Technology, Purdue University, 401 N. Grant Street, West Lafayette, IN, 47907, USA
| | - Mitesh Mylvaganan
- School of Engineering Technology, Purdue University, 401 N. Grant Street, West Lafayette, IN, 47907, USA
| | - Yuxuan Zhang
- School of Engineering Technology, Purdue University, 401 N. Grant Street, West Lafayette, IN, 47907, USA
| | - Xixian Yang
- School of Mechanical Engineering, Purdue University, 585 Purdue Mall, West Lafayette, IN, 47907, USA
| | - Fei Qin
- School of Engineering Technology, Purdue University, 401 N. Grant Street, West Lafayette, IN, 47907, USA
| | - Kejie Zhao
- School of Mechanical Engineering, Purdue University, 585 Purdue Mall, West Lafayette, IN, 47907, USA
| | - Han Wook Song
- Center for Mass and Related Quantities, Korea Research Institute of Standards and Science (KRISS), 267 Gajeong-ro, Yuseong-gu, Daejeon, 34113, Republic of Korea
| | - Huachao Mao
- School of Engineering Technology, Purdue University, 401 N. Grant Street, West Lafayette, IN, 47907, USA
| | - Sunghwan Lee
- School of Engineering Technology, Purdue University, 401 N. Grant Street, West Lafayette, IN, 47907, USA
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18
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Yang J, Chen Y, Liu S, Liu C, Ma T, Luo Z, Ge G. Single-Line Multi-Channel Flexible Stress Sensor Arrays. MICROMACHINES 2023; 14:1554. [PMID: 37630090 PMCID: PMC10456942 DOI: 10.3390/mi14081554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 08/01/2023] [Accepted: 08/01/2023] [Indexed: 08/27/2023]
Abstract
Flexible stress sensor arrays, comprising multiple flexible stress sensor units, enable accurate quantification and analysis of spatial stress distribution. Nevertheless, the current implementation of flexible stress sensor arrays faces the challenge of excessive signal wires, resulting in reduced deformability, stability, reliability, and increased costs. The primary obstacle lies in the electric amplitude modulation nature of the sensor unit's signal (e.g., resistance and capacitance), allowing only one signal per wire. To overcome this challenge, the single-line multi-channel signal (SLMC) measurement has been developed, enabling simultaneous detection of multiple sensor signals through one or two signal wires, which effectively reduces the number of signal wires, thereby enhancing stability, deformability, and reliability. This review offers a general knowledge of SLMC measurement beginning with flexible stress sensors and their piezoresistive, capacitive, piezoelectric, and triboelectric sensing mechanisms. A further discussion is given on different arraying methods and their corresponding advantages and disadvantages. Finally, this review categorizes existing SLMC measurement methods into RLC series resonant sensing, transmission line sensing, ionic conductor sensing, triboelectric sensing, piezoresistive sensing, and distributed fiber optic sensing based on their mechanisms, describes the mechanisms and characteristics of each method and summarizes the research status of SLMC measurement.
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Affiliation(s)
- Jiayi Yang
- College of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an 710054, China
- College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
| | - Yuanyuan Chen
- College of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an 710054, China
| | - Shuoyan Liu
- Department of Materials Science and Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Chang Liu
- Department of Materials Science and Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Tian Ma
- College of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an 710054, China
- College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
| | - Zhenmin Luo
- College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
| | - Gang Ge
- Department of Materials Science and Engineering, National University of Singapore, Singapore 117583, Singapore
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19
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Mao P, Li H, Shan X, Davis M, Tang T, Zhang Y, Tong X, Xin Y, Cheng J, Li L, Yu Z. Stretchable Photodiodes with Polymer-Engineered Semiconductor Nanowires for Wearable Photoplethysmography. ACS APPLIED MATERIALS & INTERFACES 2023. [PMID: 37406185 DOI: 10.1021/acsami.3c04494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/07/2023]
Abstract
Healthcare systems worldwide have been stressed to provide sufficient resources to serve the increasing and aging population in our society. The situation became more challenging at the time of pandemic. Technology advancement, especially the adoption of wearable health monitoring devices, has provided an important supplement to current clinical equipment. Most health monitoring devices are rigid, however, human tissues are soft. Such a difference has prohibited intimate contact between the two and jeopardized wearing comfortableness, which hurdles measurement accuracy especially during longtime usage. Here, we report a soft and stretchable photodiode that can conformally adhere onto the human body without any pressure and measure cardiovascular variables for an extended period with higher reliability than commercial devices. The photodiode used a composite light absorber consisting of an organic bulk heterojunction embedded into an elastic polymer matrix. It is discovered that the elastic polymer matrix not only improves the morphology of the bulk heterojunction for obtaining the desired mechanical properties but also alters its electronic band structure and improves the electrical properties that lead to a reduced dark current and enhanced photovoltage in the stretchable photodiode. The work has demonstrated high fidelity measurements and longtime monitoring of heat rate variability and oxygen saturation, potentially enabling next-generation wearable photoplethysmography devices for point-of-care diagnosis of cardiovascular diseases in a more accessible and affordable way.
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Affiliation(s)
- Pengsu Mao
- Department of Industrial and Manufacturing Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee, Florida 32310, United States
- High-Performance Materials Institute, Florida State University, Tallahassee, Florida 32310, United States
| | - Haoran Li
- Department of Industrial and Manufacturing Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee, Florida 32310, United States
- High-Performance Materials Institute, Florida State University, Tallahassee, Florida 32310, United States
| | - Xin Shan
- Department of Industrial and Manufacturing Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee, Florida 32310, United States
- High-Performance Materials Institute, Florida State University, Tallahassee, Florida 32310, United States
| | - Melissa Davis
- Department of Industrial and Manufacturing Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee, Florida 32310, United States
- High-Performance Materials Institute, Florida State University, Tallahassee, Florida 32310, United States
| | - Te Tang
- Department of Psychology and Program in Neuroscience, Florida State University, 1107 W. Call St., Tallahassee, Florida 32306, United States
| | - Yugang Zhang
- Center for Functional Nanomaterials, Brookhaven National Laboratories, 735 Brookhaven Avenue, Upton, New York 11973, United States
| | - Xiao Tong
- Center for Functional Nanomaterials, Brookhaven National Laboratories, 735 Brookhaven Avenue, Upton, New York 11973, United States
| | - Yan Xin
- National High Magnetic Field Laboratory, Florida State University, Tallahassee, Florida 32310, United States
| | - Jiang Cheng
- School of Materials Science and Engineering, Chongqing University of Arts and Sciences, Chongqing 402160, P. R. China
| | - Lu Li
- School of Materials Science and Engineering, Chongqing University of Arts and Sciences, Chongqing 402160, P. R. China
| | - Zhibin Yu
- Department of Industrial and Manufacturing Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee, Florida 32310, United States
- High-Performance Materials Institute, Florida State University, Tallahassee, Florida 32310, United States
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20
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Raveendran R, Prabakaran L, Senthil R, Yesudhason BV, Dharmalingam S, Sathyaraj WV, Atchudan R. Current Innovations in Intraocular Pressure Monitoring Biosensors for Diagnosis and Treatment of Glaucoma-Novel Strategies and Future Perspectives. BIOSENSORS 2023; 13:663. [PMID: 37367028 DOI: 10.3390/bios13060663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 06/11/2023] [Accepted: 06/14/2023] [Indexed: 06/28/2023]
Abstract
Biosensors are devices that quantify biologically significant information required for diverse applications, such as disease diagnosis, food safety, drug discovery and detection of environmental pollutants. Recent advancements in microfluidics, nanotechnology and electronics have led to the development of novel implantable and wearable biosensors for the expedient monitoring of diseases such as diabetes, glaucoma and cancer. Glaucoma is an ocular disease which ranks as the second leading cause for loss of vision. It is characterized by the increase in intraocular pressure (IOP) in human eyes, which results in irreversible blindness. Currently, the reduction of IOP is the only treatment used to manage glaucoma. However, the success rate of medicines used to treat glaucoma is quite minimal due to their curbed bioavailability and reduced therapeutic efficacy. The drugs must pass through various barriers to reach the intraocular space, which in turn serves as a major challenge in glaucoma treatment. Rapid progress has been observed in nano-drug delivery systems for the early diagnosis and prompt therapy of ocular diseases. This review gives a deep insight into the current advancements in the field of nanotechnology for detecting and treating glaucoma, as well as for the continuous monitoring of IOP. Various nanotechnology-based achievements, such as nanoparticle/nanofiber-based contact lenses and biosensors that can efficiently monitor IOP for the efficient detection of glaucoma, are also discussed.
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Affiliation(s)
- Rubiya Raveendran
- Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam 603103, Tamil Nadu, India
| | - Lokesh Prabakaran
- Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam 603103, Tamil Nadu, India
| | - Rethinam Senthil
- Department of Pharmacology, Saveetha Dental College and Hospitals, SIMATS, Chennai 600077, Tamil Nadu, India
| | - Beryl Vedha Yesudhason
- Regeneration and Stem Cell Biology Lab, Centre for Molecular and Nanomedical Sciences, International Research Centre, Sathyabama Institute of Science and Technology, Chennai 600119, Tamil Nadu, India
| | - Sankari Dharmalingam
- Department of Biotechnology, College of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur 603203, Tamil Nadu, India
| | - Weslen Vedakumari Sathyaraj
- Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam 603103, Tamil Nadu, India
| | - Raji Atchudan
- School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea
- Department of Chemistry, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, Tamil Nadu, India
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21
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He C, Teng C, Xiong Z, Lin X, Li H, Li X. Intracranial pressure monitoring in neurosurgery: the present situation and prospects. Chin Neurosurg J 2023; 9:14. [PMID: 37170383 PMCID: PMC10176793 DOI: 10.1186/s41016-023-00327-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 04/24/2023] [Indexed: 05/13/2023] Open
Abstract
Intracranial pressure (ICP) is one of the most important indexes in neurosurgery. It is essential for doctors to determine the numeric value and changes of ICP, whether before or after an operation. Although external ventricular drainage (EVD) is the gold standard for monitoring ICP, more and more novel monitoring methods are being applied clinically.Invasive wired ICP monitoring is still the most commonly used in practice. Meanwhile, with the rise and development of various novel technologies, non-invasive types and invasive wireless types are gradually being used clinically or in the testing phase, as a complimentary approach of ICP management. By choosing appropriate monitoring methods, clinical neurosurgeons are able to obtain ICP values safely and effectively under particular conditions.This article introduces diverse monitoring methods and compares the advantages and disadvantages of different monitoring methods. Moreover, this review may enable clinical neurosurgeons to have a broader view of ICP monitoring.
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Affiliation(s)
- Chenqi He
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
- Hunan International Scientific and Technological Cooperation Base of Brain Tumor Research, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
| | - Chubei Teng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
- Hunan International Scientific and Technological Cooperation Base of Brain Tumor Research, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
- Department of Neurosurgery, the First Affiliated Hospital, University of South China, Hengyang, Hunan, 421001, People's Republic of China
| | - Zujian Xiong
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
- Hunan International Scientific and Technological Cooperation Base of Brain Tumor Research, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
| | - Xuelei Lin
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
- Hunan International Scientific and Technological Cooperation Base of Brain Tumor Research, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
| | - Hongbo Li
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
- Hunan International Scientific and Technological Cooperation Base of Brain Tumor Research, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
| | - Xuejun Li
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.
- Hunan International Scientific and Technological Cooperation Base of Brain Tumor Research, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.
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22
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Magkoutas K, Weisskopf M, Falk V, Emmert MY, Meboldt M, Cesarovic N, Schmid Daners M. Continuous Monitoring of Blood Pressure and Vascular Hemodynamic Properties With Miniature Extravascular Hall-Based Magnetic Sensor. JACC Basic Transl Sci 2023; 8:546-564. [PMID: 37325404 PMCID: PMC10264706 DOI: 10.1016/j.jacbts.2022.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/29/2022] [Accepted: 12/29/2022] [Indexed: 06/17/2023]
Abstract
Continuous measurement of vascular and hemodynamic parameters could improve monitoring of disease progression and enable timely clinical decision making and therapy surveillance in patients suffering from cardiovascular diseases. However, no reliable extravascular implantable sensor technology is currently available. Here, we report the design, characterization, and validation of an extravascular, magnetic flux sensing device capable of capturing the waveforms of the arterial wall diameter, arterial circumferential strain, and arterial pressure without restricting the arterial wall. The implantable sensing device, comprising a magnet and a magnetic flux sensing assembly, both encapsulated in biocompatible structures, has shown to be robust, with temperature and cyclic-loading stability. Continuous and accurate monitoring of arterial blood pressure and vascular properties was demonstrated with the proposed sensor in vitro with a silicone artery model and validated in vivo in a porcine model mimicking physiologic and pathologic hemodynamic conditions. The captured waveforms were further used to deduce the respiration frequency, the duration of the cardiac systolic phase, and the pulse wave velocity. The findings of this study not only suggest that the proposed sensing technology is a promising platform for accurate monitoring of arterial blood pressure and vascular properties, but also highlight the necessary changes in the technology and the implantation procedure to allow the translation of the sensing device in the clinical setting.
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Affiliation(s)
- Konstantinos Magkoutas
- Product Development Group Zurich, Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland
| | - Miriam Weisskopf
- Center for Surgical Research, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Volkmar Falk
- Department of Cardiothoracic and Vascular Surgery, Deutsches Herzzentrum der Charité (DHZC), Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Translational Cardiovascular Technologies, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Maximilian Y. Emmert
- Department of Cardiothoracic and Vascular Surgery, Deutsches Herzzentrum der Charité (DHZC), Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland
| | - Mirko Meboldt
- Product Development Group Zurich, Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland
| | - Nikola Cesarovic
- Department of Cardiothoracic and Vascular Surgery, Deutsches Herzzentrum der Charité (DHZC), Berlin, Germany
- Translational Cardiovascular Technologies, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Marianne Schmid Daners
- Institute for Dynamic Systems and Control, Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland
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23
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Yuan H, Zhang W, Zhou Z, Wang W, Pan N, Feng Y, Sun H, Zhang X. Non-Hermitian Topolectrical Circuit Sensor with High Sensitivity. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023:e2301128. [PMID: 37096835 DOI: 10.1002/advs.202301128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 03/23/2023] [Indexed: 05/03/2023]
Abstract
Electronic sensors play important roles in various applications, such as industry and environmental monitoring, biomedical sample ingredient analysis, wireless networks and so on. However, the sensitivity and robustness of current schemes are often limited by the low quality-factors of resonators and fabrication disorders. Hence, exploring new mechanisms of the electronic sensor with a high-level sensitivity and a strong robustness is of great significance. Here, a new way to design electronic sensors with superior performances based on exotic properties of non-Hermitian topological physics is proposed. Owing to the extreme boundary-sensitivity of non-Hermitian topological zero modes, the frequency shift induced by boundary perturbations can show an exponential growth trend with respect to the size of non-Hermitian topolectrical circuit sensors. Moreover, such an exponential growth sensitivity is also robust against disorders of circuit elements. Using designed non-Hermitian topolectrical circuit sensors, the ultrasensitive identification of the distance, rotation angle, and liquid level is further experimentally verified with the designed capacitive devices. The proposed non-Hermitian topolectrical circuit sensors can possess a wide range of applications in ultrasensitive environmental monitoring and show an exciting prospect for next-generation sensing technologies.
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Affiliation(s)
- Hao Yuan
- Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements of Ministry of Education, Beijing Key Laboratory of Nanophotonics and Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing, 100081, China
| | - Weixuan Zhang
- Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements of Ministry of Education, Beijing Key Laboratory of Nanophotonics and Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing, 100081, China
| | - Zilong Zhou
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China
| | - Wenlong Wang
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China
| | - Naiqiao Pan
- Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements of Ministry of Education, Beijing Key Laboratory of Nanophotonics and Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing, 100081, China
| | - Yue Feng
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China
| | - Houjun Sun
- Beijing Key Laboratory of Millimeter wave and Terahertz Techniques, School of Information and Electronics, Beijing Institute of Technology, Beijing, 100081, China
| | - Xiangdong Zhang
- Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements of Ministry of Education, Beijing Key Laboratory of Nanophotonics and Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing, 100081, China
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24
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Liu G, Lv Z, Batool S, Li MZ, Zhao P, Guo L, Wang Y, Zhou Y, Han ST. Biocompatible Material-Based Flexible Biosensors: From Materials Design to Wearable/Implantable Devices and Integrated Sensing Systems. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023:e2207879. [PMID: 37009995 DOI: 10.1002/smll.202207879] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/28/2023] [Indexed: 06/19/2023]
Abstract
Human beings have a greater need to pursue life and manage personal or family health in the context of the rapid growth of artificial intelligence, big data, the Internet of Things, and 5G/6G technologies. The application of micro biosensing devices is crucial in connecting technology and personalized medicine. Here, the progress and current status from biocompatible inorganic materials to organic materials and composites are reviewed and the material-to-device processing is described. Next, the operating principles of pressure, chemical, optical, and temperature sensors are dissected and the application of these flexible biosensors in wearable/implantable devices is discussed. Different biosensing systems acting in vivo and in vitro, including signal communication and energy supply are then illustrated. The potential of in-sensor computing for applications in sensing systems is also discussed. Finally, some essential needs for commercial translation are highlighted and future opportunities for flexible biosensors are considered.
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Affiliation(s)
- Gang Liu
- Institute of Microscale Optoelectronics and College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Ziyu Lv
- Institute of Microscale Optoelectronics and College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Saima Batool
- Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, P. R. China
| | | | - Pengfei Zhao
- Institute of Microscale Optoelectronics and College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Liangchao Guo
- College of Mechanical Engineering, Yangzhou University, Yangzhou, 225127, P. R. China
| | - Yan Wang
- School of Microelectronics, Hefei University of Technology, Hefei, 230009, P. R. China
| | - Ye Zhou
- Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Su-Ting Han
- Institute of Microscale Optoelectronics and College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
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25
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Mao P, Li H, Yu Z. A Review of Skin-Wearable Sensors for Non-Invasive Health Monitoring Applications. SENSORS (BASEL, SWITZERLAND) 2023; 23:3673. [PMID: 37050733 PMCID: PMC10099362 DOI: 10.3390/s23073673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/24/2023] [Accepted: 03/27/2023] [Indexed: 06/19/2023]
Abstract
The early detection of fatal diseases is crucial for medical diagnostics and treatment, both of which benefit the individual and society. Portable devices, such as thermometers and blood pressure monitors, and large instruments, such as computed tomography (CT) and X-ray scanners, have already been implemented to collect health-related information. However, collecting health information using conventional medical equipment at home or in a hospital can be inefficient and can potentially affect the timeliness of treatment. Therefore, on-time vital signal collection via healthcare monitoring has received increasing attention. As the largest organ of the human body, skin delivers significant signals reflecting our health condition; thus, receiving vital signals directly from the skin offers the opportunity for accessible and versatile non-invasive monitoring. In particular, emerging flexible and stretchable electronics demonstrate the capability of skin-like devices for on-time and continuous long-term health monitoring. Compared to traditional electronic devices, this type of device has better mechanical properties, such as skin conformal attachment, and maintains compatible detectability. This review divides the health information that can be obtained from skin using the sensor aspect's input energy forms into five categories: thermoelectrical signals, neural electrical signals, photoelectrical signals, electrochemical signals, and mechanical pressure signals. We then summarize current skin-wearable health monitoring devices and provide outlooks on future development.
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Affiliation(s)
- Pengsu Mao
- Department of Industrial and Manufacturing Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee, FL 32310, USA
- High-Performance Materials Institute, Florida State University, Tallahassee, FL 32310, USA
| | - Haoran Li
- Department of Industrial and Manufacturing Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee, FL 32310, USA
- High-Performance Materials Institute, Florida State University, Tallahassee, FL 32310, USA
| | - Zhibin Yu
- Department of Industrial and Manufacturing Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee, FL 32310, USA
- High-Performance Materials Institute, Florida State University, Tallahassee, FL 32310, USA
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26
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Carr AR, Chan YJ, Reuel NF. Contact-Free, Passive, Electromagnetic Resonant Sensors for Enclosed Biomedical Applications: A Perspective on Opportunities and Challenges. ACS Sens 2023; 8:943-955. [PMID: 36916021 DOI: 10.1021/acssensors.2c02552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Inexpensive and accurate tools for monitoring conditions in enclosed environments (through garments, bandages, tissue, etc.) have been a long-standing goal of medicine. Passive resonant sensors are a promising solution for such wearable health sensors as well as off-body diagnostics. They are simple circuits with inherent inductance and capacitance (LC tank) that have a measurable resonant frequency. Changes in local parameters, e.g., permittivity or geometry, effect inductance and capacitance which cause a resonant frequency shift response. This signal transduction has been applied to several biomedical applications such as intracranial pressure, hemodynamics, epidermal hydration, etc. Despite these many promising applications presented in the literature, resonant sensors still do not see widespread adoption in biomedical applications, especially as wearable or embedded sensing devices. This perspective highlights some of the current challenges facing LC resonant sensors in biomedical applications, such as positional sensitivity, and potential strategies that have been developed to overcome them. An outlook on adoption in medicine and health monitoring is presented, and a perspective is given on next steps for research in this field.
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Affiliation(s)
- Adam R Carr
- Department of Chemical and Biological Engineering, Iowa State University, 618 Bissell Road, Ames, Iowa 50011, United States
| | - Yee Jher Chan
- Department of Chemical and Biological Engineering, Iowa State University, 618 Bissell Road, Ames, Iowa 50011, United States
| | - Nigel F Reuel
- Department of Chemical and Biological Engineering, Iowa State University, 618 Bissell Road, Ames, Iowa 50011, United States
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27
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Cho C, Kim D, Lee C, Oh JH. Ultrasensitive Ionic Liquid Polymer Composites with a Convex and Wrinkled Microstructure and Their Application as Wearable Pressure Sensors. ACS APPLIED MATERIALS & INTERFACES 2023; 15:13625-13636. [PMID: 36861378 DOI: 10.1021/acsami.2c22825] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
The development of pressure sensors with high sensitivity and effectiveness that exhibit linearity over a wide pressure range is crucial for wearable devices. In this study, we fabricated a novel ionic liquid (IL)/polymer composite with a convex and randomly wrinkled microstructure in a cost-effective and facile manner using an opaque glass and stretched polydimethylsiloxane template. The fabricated IL/polymer composite was used as the dielectric layer in a capacitive pressure sensor. The sensor exhibited a high linear sensitivity of 56.91 kPa-1 owing to the high interfacial capacitance formed by the electrical double layer of the IL/polymer composite over a relatively wide range (0-80 kPa). We also demonstrated the sensor performance for various applications such as a glove-attached sensor, sensor array, respiration monitoring mask, human pulse, blood pressure measurement, human motion detection, and a wide range of pressure sensing. It would be expected that the proposed pressure sensor has sufficient potential for use in wearable devices.
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Affiliation(s)
- Changwoo Cho
- Department of Mechanical Engineering and BK21 FOUR ERICA-ACE Center, Hanyang University, 55 Hanyangdeahak-ro, Sangrok-gu, Ansan, Gyeonggi-do 15588, Republic of Korea
| | - Dongwon Kim
- Department of Mechanical Engineering and BK21 FOUR ERICA-ACE Center, Hanyang University, 55 Hanyangdeahak-ro, Sangrok-gu, Ansan, Gyeonggi-do 15588, Republic of Korea
| | - Chaeeun Lee
- Department of Mechanical Engineering and BK21 FOUR ERICA-ACE Center, Hanyang University, 55 Hanyangdeahak-ro, Sangrok-gu, Ansan, Gyeonggi-do 15588, Republic of Korea
| | - Je Hoon Oh
- Department of Mechanical Engineering and BK21 FOUR ERICA-ACE Center, Hanyang University, 55 Hanyangdeahak-ro, Sangrok-gu, Ansan, Gyeonggi-do 15588, Republic of Korea
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28
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Lu T, Ji S, Jin W, Yang Q, Luo Q, Ren TL. Biocompatible and Long-Term Monitoring Strategies of Wearable, Ingestible and Implantable Biosensors: Reform the Next Generation Healthcare. SENSORS (BASEL, SWITZERLAND) 2023; 23:2991. [PMID: 36991702 PMCID: PMC10054135 DOI: 10.3390/s23062991] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/31/2022] [Accepted: 01/04/2023] [Indexed: 06/19/2023]
Abstract
Sensors enable the detection of physiological indicators and pathological markers to assist in the diagnosis, treatment, and long-term monitoring of diseases, in addition to playing an essential role in the observation and evaluation of physiological activities. The development of modern medical activities cannot be separated from the precise detection, reliable acquisition, and intelligent analysis of human body information. Therefore, sensors have become the core of new-generation health technologies along with the Internet of Things (IoTs) and artificial intelligence (AI). Previous research on the sensing of human information has conferred many superior properties on sensors, of which biocompatibility is one of the most important. Recently, biocompatible biosensors have developed rapidly to provide the possibility for the long-term and in-situ monitoring of physiological information. In this review, we summarize the ideal features and engineering realization strategies of three different types of biocompatible biosensors, including wearable, ingestible, and implantable sensors from the level of sensor designing and application. Additionally, the detection targets of the biosensors are further divided into vital life parameters (e.g., body temperature, heart rate, blood pressure, and respiratory rate), biochemical indicators, as well as physical and physiological parameters based on the clinical needs. In this review, starting from the emerging concept of next-generation diagnostics and healthcare technologies, we discuss how biocompatible sensors revolutionize the state-of-art healthcare system unprecedentedly, as well as the challenges and opportunities faced in the future development of biocompatible health sensors.
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Affiliation(s)
- Tian Lu
- School of Integrated Circuit and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Shourui Ji
- School of Integrated Circuit and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Weiqiu Jin
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Qisheng Yang
- School of Integrated Circuit and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Qingquan Luo
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Tian-Ling Ren
- School of Integrated Circuit and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
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29
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Bailoor S, Seo JH, Dasi L, Schena S, Mittal R. Towards Longitudinal Monitoring of Leaflet Mobility in Prosthetic Aortic Valves via In-Situ Pressure Sensors: In-Silico Modeling and Analysis. Cardiovasc Eng Technol 2023; 14:25-36. [PMID: 35668222 DOI: 10.1007/s13239-022-00635-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 05/18/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Transcatheter aortic valves (TAVs) are susceptible to leaflet thrombosis which may lead to thromboembolic events, and early detection and intervention are believed to be the key to avoiding such adverse outcomes. An embedded sensor system installed on the valve stent, coupled with an appropriate machine learning-based continuous monitoring algorithm can facilitate early detection to predict severity of reduced leaflet motion (RLM) and avoid adverse outcomes. METHODS We present a data-driven, in silico, proof-of-concept analysis of a pressure microsensor based system for quantifying RLM in TAVs. We generate a dataset of 21 high-fidelity transvalvular flow simulations with healthy and mildly stenotic TAVs to train a logistic regression model to correlate individual leaflet mobility in each simulation with principal components of corresponding hemodynamic pressure recorded at strategic locations of the TAV stent. A separate test dataset of 7 simulations is also generated for prospective assessment of model performance. RESULTS An array of 6 sensors embedded on the TAV stent, with two sensors tracking individual leaflet, successfully correlates leaflet mobility with recorded pressure. The sensors are placed along leaflet centerlines, one in the sinus, and the other at the sino-tubular junction. The regression model is tuned using cross-validation to achieve high accuracy on both training (R2 = 0.93) and test (R2 = 0.77) sets. CONCLUSION Discrete blood pressure recordings on TAV stents can be successfully correlated with individual leaflet mobility. Further development of this technology can enable longitudinal monitoring of TAVs and early detection of valve failure.
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Affiliation(s)
- Shantanu Bailoor
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Jung-Hee Seo
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Lakshmi Dasi
- Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Stefano Schena
- Division of Cardiac Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Rajat Mittal
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.
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30
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Yi Y, Wang B, Li C. Sensors-based monitoring and treatment approaches for in-stent restenosis. J Biomed Mater Res B Appl Biomater 2023; 111:490-498. [PMID: 36161478 DOI: 10.1002/jbm.b.35164] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 08/11/2022] [Accepted: 09/11/2022] [Indexed: 12/15/2022]
Abstract
Cardiovascular disease (CVD) can progressively narrow arteries due to plaque accumulation on the inner walls of the blood vessels, which results in an obstructed blood flow, leading to heart attack, stroke, and even death if the obstruction is severe. A popular treatment for the disease is to use an intravascular mechanical device called the stent to achieve an immediate restoration of blood flow. However, the physical stimulation induced by the stent expansion can cause inflammation of the vessel tissue. As one of the most common post-stenting complications, re-narrowing of the vessel is the main pathology that leads to in-stent restenosis (ISR), induced by the excess growth of the tissue over the deployed stent. The ISR is widely recognized as a significant cause of death globally if early symptoms are not detected. Hence, monitoring and early diagnosis indeed matter when it comes to treatment. The latest technologies for monitoring and treatments of ISR were reviewed in this work, and the potential issues and suggestions related to the reported technologies were presented. The target of this review aims to positively prompt researchers to develop an advanced stent system in terms of its electromechanical performance, size, functional feature, feasibility, and reliability.
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Affiliation(s)
- Ying Yi
- School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan, China
| | - Bo Wang
- College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
| | - Changping Li
- College of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China
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31
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Farooq M, Amin B, Elahi A, Wijns W, Shahzad A. Planar Elliptical Inductor Design for Wireless Implantable Medical Devices. Bioengineering (Basel) 2023; 10:bioengineering10020151. [PMID: 36829645 PMCID: PMC9952514 DOI: 10.3390/bioengineering10020151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/17/2023] [Accepted: 01/20/2023] [Indexed: 01/24/2023] Open
Abstract
Wireless implantable medical devices (WIMDs) have seen unprecedented progress in the past three decades. WIMDs help clinicians in better-understanding diseases and enhance medical treatment by allowing for remote data collection and delivering tailored patient care. The wireless connectivity range between the external reader and the implanted device is considered one of the key design parameters in WIMD technology. One of the common modes of communication in battery-free WIMDs is inductive coupling, where the power and data between the reader and the implanted device are transmitted via magnetically coupled inductors. The design and shape of these inductors depend on the requirements of the application. Several studies have reported models of standard planar inductors such as circular, square, hexagonal, and octagonal in medical applications. However, for applications, constrained by narrow implantable locations, elliptical planar inductors may perform better than standard-shaped planar inductors. The aim of this study is to develop a numerical model for elliptical inductors. This model allows for the calculation of the inductance of the elliptical planar inductor and its parasitic components, which are key design parameters for the development of WIMDs powered by inductive coupling. An area transformation technique is used to transform and derive elliptical inductor formulas from standard circular inductor formulas. The proposed model is validated for various combinations of the number of turns, trace width, trace separation, and different inner and outer diameters of the elliptical planar inductor. For a thorough experimental validation of the proposed numerical model, more than 75 elliptical planar inductors were fabricated, measured, and compared with the numerical output of the proposed model. The mean error between the measured inductor parameters and numerical estimates using the proposed model is <5%, with a standard deviation of <3.18%. The proposed model provides an accurate analytical method for estimating and optimizing elliptical planar inductor parameters using a combination of current sheet expression and area transformation techniques. An elliptical planar inductor integrated with a sensing element can be used as a wireless implant to monitor the physiological signal from narrow implantation sites.
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Affiliation(s)
- Muhammad Farooq
- Smart Sensors Lab, School of Medicine, University of Galway, H91 TK33 Galway, Ireland
- Correspondence:
| | - Bilal Amin
- Smart Sensors Lab, School of Medicine, University of Galway, H91 TK33 Galway, Ireland
- Electrical and Electronic Engineering, University of Galway, H91 TK33 Galway, Ireland
| | - Adnan Elahi
- Electrical and Electronic Engineering, University of Galway, H91 TK33 Galway, Ireland
| | - William Wijns
- Smart Sensors Lab, School of Medicine, University of Galway, H91 TK33 Galway, Ireland
| | - Atif Shahzad
- Smart Sensors Lab, School of Medicine, University of Galway, H91 TK33 Galway, Ireland
- Centre for Systems Modeling and Quantitative Biomedicine, University of Birmingham, Birmingham B15 2TT, UK
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Ertsgaard CT, Kim M, Choi J, Oh SH. Wireless dielectrophoresis trapping and remote impedance sensing via resonant wireless power transfer. Nat Commun 2023; 14:103. [PMID: 36609514 PMCID: PMC9821345 DOI: 10.1038/s41467-022-35777-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 12/22/2022] [Indexed: 01/07/2023] Open
Abstract
Nearly all biosensing platforms can be described using two fundamental steps-collection and detection. Target analytes must be delivered to a sensing element, which can then relay the transduced signal. For point-of-care technologies, where operation is to be kept simple, typically the collection step is passive diffusion driven-which can be slow or limiting under low concentrations. This work demonstrates an integration of both active collection and detection by using resonant wireless power transfer coupled to a nanogap capacitor. Nanoparticles suspended in deionized water are actively trapped using wireless dielectrophoresis and positioned within the most sensitive fringe field regions for wireless impedance-based detection. Trapping of 40 nm particles and larger is demonstrated using a 3.5 VRMS, 1 MHz radiofrequency signal delivered over a distance greater than 8 cm from the nanogap capacitor. Wireless trapping and release of 1 µm polystyrene beads is simultaneously detected in real-time over a distance of 2.5 cm from the nanogap capacitor. Herein, geometric scaling strategies coupled with optimal circuit design is presented to motivate combined collection and detection biosensing platforms amenable to wireless and/or smartphone operation.
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Affiliation(s)
- Christopher T Ertsgaard
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Minki Kim
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Jungwon Choi
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Sang-Hyun Oh
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, 55455, USA.
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33
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Zarei M, Lee G, Lee SG, Cho K. Advances in Biodegradable Electronic Skin: Material Progress and Recent Applications in Sensing, Robotics, and Human-Machine Interfaces. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2203193. [PMID: 35737931 DOI: 10.1002/adma.202203193] [Citation(s) in RCA: 44] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 06/13/2022] [Indexed: 06/15/2023]
Abstract
The rapid growth of the electronics industry and proliferation of electronic materials and telecommunications technologies has led to the release of a massive amount of untreated electronic waste (e-waste) into the environment. Consequently, catastrophic environmental damage at the microbiome level and serious human health diseases threaten the natural fate of the planet. Currently, the demand for wearable electronics for applications in personalized medicine, electronic skins (e-skins), and health monitoring is substantial and growing. Therefore, "green" characteristics such as biodegradability, self-healing, and biocompatibility ensure the future application of wearable electronics and e-skins in biomedical engineering and bioanalytical sciences. Leveraging the biodegradability, sustainability, and biocompatibility of natural materials will dramatically influence the fabrication of environmentally friendly e-skins and wearable electronics. Here, the molecular and structural characteristics of biological skins and artificial e-skins are discussed. The focus then turns to the biodegradable materials, including natural and synthetic-polymer-based materials, and their recent applications in the development of biodegradable e-skin in wearable sensors, robotics, and human-machine interfaces (HMIs). Finally, the main challenges and outlook regarding the preparation and application of biodegradable e-skins are critically discussed in a near-future scenario, which is expected to lead to the next generation of biodegradable e-skins.
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Affiliation(s)
- Mohammad Zarei
- Department of Chemistry, University of Ulsan, Ulsan, 44610, Korea
| | - Giwon Lee
- Department of Chemical Engineering, Pohang University of Science and Technology, Pohang, 37673, Korea
| | - Seung Goo Lee
- Department of Chemistry, University of Ulsan, Ulsan, 44610, Korea
| | - Kilwon Cho
- Department of Chemical Engineering, Pohang University of Science and Technology, Pohang, 37673, Korea
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34
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Kim T, Kalhori AH, Kim TH, Bao C, Kim WS. 3D designed battery-free wireless origami pressure sensor. MICROSYSTEMS & NANOENGINEERING 2022; 8:120. [PMID: 36465158 PMCID: PMC9708697 DOI: 10.1038/s41378-022-00465-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 09/14/2022] [Accepted: 10/15/2022] [Indexed: 06/17/2023]
Abstract
A pressure monitoring structure is a very useful element for a wearable device for health monitoring and sports biomechanics. While pressure sensors have been studied extensively, battery-free functions working in wireless detection have not been studied much. Here, we report a 3D-structured origami-based architecture sensor for wireless pressure monitoring. We developed an architectured platform for wireless pressure sensing through inductor-capacitor (LC) sensors and a monopole antenna. A personalized smart insole with Miura-ori origami designs has been 3D printed together with conductive 3D printed sensors seamlessly. Wireless monitoring of resonant frequency and intensity changes of LC sensors have been demonstrated to monitor foot pressure for different postures. The sensitivity of the wireless pressure sensor is tunable from 15.7 to 2.1 MHz/kPa in the pressure ranges from 0 to 9 kPa and from 10 to 40 kPa, respectively. The proposed wireless pressure-sensing platform can be utilized for various applications such as orthotics, prosthetics, and sports gear.
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Affiliation(s)
- Taeil Kim
- Additive Manufacturing Laboratory, School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, V3T 0A3 BC Canada
| | - Amirhossein Hassanpoor Kalhori
- Additive Manufacturing Laboratory, School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, V3T 0A3 BC Canada
| | - Tae-Ho Kim
- Additive Manufacturing Laboratory, School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, V3T 0A3 BC Canada
| | - Chao Bao
- Additive Manufacturing Laboratory, School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, V3T 0A3 BC Canada
| | - Woo Soo Kim
- Additive Manufacturing Laboratory, School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, V3T 0A3 BC Canada
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35
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Yuan Y, Liu B, Li H, Li M, Song Y, Wang R, Wang T, Zhang H. Flexible Wearable Sensors in Medical Monitoring. BIOSENSORS 2022; 12:bios12121069. [PMID: 36551036 PMCID: PMC9775172 DOI: 10.3390/bios12121069] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/20/2022] [Accepted: 11/21/2022] [Indexed: 05/31/2023]
Abstract
The popularity of health concepts and the wave of digitalization have driven the innovation of sensors in the medical field. Such continual development has made sensors progress in the direction of safety, flexibility, and intelligence for continuous monitoring of vital signs, which holds considerable promise for changing the way humans live and even treat diseases. To this end, flexible wearable devices with high performance, such as high sensitivity, high stability, and excellent biodegradability, have attracted strong interest from scientists. Herein, a review of flexible wearable sensors for temperature, heart rate, human motion, respiratory rate, glucose, and pH is highlighted. In addition, engineering issues are also presented, focusing on material selection, sensor fabrication, and power supply. Finally, potential challenges facing current technology and future directions of wearable sensors are also discussed.
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Affiliation(s)
- Yingying Yuan
- Liaoning Key Lab of Integrated Circuit and Biomedical Electronic System, School of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Bo Liu
- Liaoning Key Lab of Integrated Circuit and Biomedical Electronic System, School of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China
- Faculty of Medicine, Dalian University of Technology, Dalian 116024, China
| | - Hui Li
- Department of Nursing, Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital & Institute), Shenyang 110042, China
| | - Mo Li
- Department of Nursing, Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital & Institute), Shenyang 110042, China
| | - Yingqiu Song
- Department of Radiotherapy, Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital & Institute), Shenyang 110042, China
| | - Runze Wang
- School of Clinical Medicine, Chengdu Medical College, Chengdu 610500, China
| | - Tianlu Wang
- Faculty of Medicine, Dalian University of Technology, Dalian 116024, China
- Department of Radiotherapy, Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital & Institute), Shenyang 110042, China
| | - Hangyu Zhang
- Liaoning Key Lab of Integrated Circuit and Biomedical Electronic System, School of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China
- Faculty of Medicine, Dalian University of Technology, Dalian 116024, China
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36
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Mohammed N, Cluff K, Sutton M, Villafana-Ibarra B, Loflin BE, Griffith JL, Becker R, Bhandari S, Alruwaili F, Desai J. A Flexible Near-Field Biosensor for Multisite Arterial Blood Flow Detection. SENSORS (BASEL, SWITZERLAND) 2022; 22:8389. [PMID: 36366092 PMCID: PMC9657423 DOI: 10.3390/s22218389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 10/24/2022] [Accepted: 10/29/2022] [Indexed: 06/16/2023]
Abstract
Modern wearable devices show promising results in terms of detecting vital bodily signs from the wrist. However, there remains a considerable need for a device that can conform to the human body's variable geometry to accurately detect those vital signs and to understand health better. Flexible radio frequency (RF) resonators are well poised to address this need by providing conformable bio-interfaces suitable for different anatomical locations. In this work, we develop a compact wearable RF biosensor that detects multisite hemodynamic events due to pulsatile blood flow through noninvasive tissue-electromagnetic (EM) field interaction. The sensor consists of a skin patch spiral resonator and a wearable transceiver. During resonance, the resonator establishes a strong capacitive coupling with layered dielectric tissues due to impedance matching. Therefore, any variation in the dielectric properties within the near-field of the coupled system will result in field perturbation. This perturbation also results in RF carrier modulation, transduced via a demodulator in the transceiver unit. The main elements of the transceiver consist of a direct digital synthesizer for RF carrier generation and a demodulator unit comprised of a resistive bridge coupled with an envelope detector, a filter, and an amplifier. In this work, we build and study the sensor at the radial artery, thorax, carotid artery, and supraorbital locations of a healthy human subject, which hold clinical significance in evaluating cardiovascular health. The carrier frequency is tuned at the resonance of the spiral resonator, which is 34.5 ± 1.5 MHz. The resulting transient waveforms from the demodulator indicate the presence of hemodynamic events, i.e., systolic upstroke, systolic peak, dicrotic notch, and diastolic downstroke. The preliminary results also confirm the sensor's ability to detect multisite blood flow events noninvasively on a single wearable platform.
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Affiliation(s)
- Noor Mohammed
- Department of Electrical and Computer Engineering, University of Massachusetts Amherst, Amherst, MA 01003, USA
- Department of Biomedical Engineering, Wichita State University, Wichita, KS 67260, USA
| | - Kim Cluff
- Department of Biomedical Engineering, Wichita State University, Wichita, KS 67260, USA
| | - Mark Sutton
- Department of Biomedical Engineering, Wichita State University, Wichita, KS 67260, USA
| | | | - Benjamin E. Loflin
- Department of Biomedical Engineering, Wichita State University, Wichita, KS 67260, USA
- Department of Orthopaedic Surgery, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Jacob L. Griffith
- Department of Biomedical Engineering, Wichita State University, Wichita, KS 67260, USA
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA
| | - Ryan Becker
- Department of Biomedical Engineering, Wichita State University, Wichita, KS 67260, USA
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Subash Bhandari
- Department of Biomedical Engineering, Wichita State University, Wichita, KS 67260, USA
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850, USA
| | - Fayez Alruwaili
- Department of Biomedical Engineering, Wichita State University, Wichita, KS 67260, USA
- Department of Biomedical Engineering, Rowan University, Glassboro, NJ 08028, USA
| | - Jaydip Desai
- Department of Biomedical Engineering, Wichita State University, Wichita, KS 67260, USA
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Farooq M, Amin B, Kraśny MJ, Elahi A, Rehman MRU, Wijns W, Shahzad A. An Ex Vivo Study of Wireless Linkage Distance between Implantable LC Resonance Sensor and External Readout Coil. SENSORS (BASEL, SWITZERLAND) 2022; 22:8402. [PMID: 36366097 PMCID: PMC9656142 DOI: 10.3390/s22218402] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/27/2022] [Accepted: 10/29/2022] [Indexed: 06/16/2023]
Abstract
The wireless monitoring of key physiological parameters such as heart rate, respiratory rate, temperature, and pressure can aid in preventive healthcare, early diagnosis, and patient-tailored treatment. In wireless implantable sensors, the distance between the sensor and the reader device is prone to be influenced by the operating frequency, as well as by the medium between the sensor and the reader. This manuscript presents an ex vivo investigation of the wireless linkage between an implantable sensor and an external reader for medical applications. The sensor was designed and fabricated using a cost-effective and accessible fabrication process. The sensor is composed of a circular planar inductor (L) and a circular planar capacitor (C) to form an inductor-capacitor (LC) resonance tank circuit. The reader system comprises a readout coil and data acquisition instrumentation. To investigate the effect of biological medium on wireless linkage, the readout distance between the sensor and the readout coil was examined independently for porcine and ovine tissues. In the bench model, to mimic the bio-environment for the investigation, skin, muscle, and fat tissues were used. The relative magnitude of the reflection coefficient (S11) at the readout coil was used as a metric to benchmark wireless linkage. A readable linkage signal was observed on the readout coil when the sensor was held up to 2.5 cm under layers of skin, muscle, and fat tissue. To increase the remote readout distance of the LC sensor, the effect of the repeater coil was also investigated. The experimental results showed that the magnitude of the reflection coefficient signal was increased 3-3.5 times in the presence of the repeater coil, thereby increasing the signal-to-noise ratio of the detected signal. Therefore, the repeater coil between the sensor and the readout coil allows a larger sensing range for a variety of applications in implanted or sealed fields.
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Affiliation(s)
- Muhammad Farooq
- Smart Sensors Laboratory, Lambe Institute for Translational Research, College of Medicine, Nursing Health Sciences, University of Galway, H91 TK33 Galway, Ireland
| | - Bilal Amin
- Smart Sensors Laboratory, Lambe Institute for Translational Research, College of Medicine, Nursing Health Sciences, University of Galway, H91 TK33 Galway, Ireland
- Electrical and Electronic Engineering, University of Galway, H91 TK33 Galway, Ireland
| | - Marcin J. Kraśny
- Smart Sensors Laboratory, Lambe Institute for Translational Research, College of Medicine, Nursing Health Sciences, University of Galway, H91 TK33 Galway, Ireland
| | - Adnan Elahi
- Electrical and Electronic Engineering, University of Galway, H91 TK33 Galway, Ireland
| | - Muhammad Riaz ur Rehman
- Smart Sensors Laboratory, Lambe Institute for Translational Research, College of Medicine, Nursing Health Sciences, University of Galway, H91 TK33 Galway, Ireland
| | - William Wijns
- Smart Sensors Laboratory, Lambe Institute for Translational Research, College of Medicine, Nursing Health Sciences, University of Galway, H91 TK33 Galway, Ireland
| | - Atif Shahzad
- Smart Sensors Laboratory, Lambe Institute for Translational Research, College of Medicine, Nursing Health Sciences, University of Galway, H91 TK33 Galway, Ireland
- Centre for Systems Modeling and Quantitative Biomedicine, University of Birmingham, Birmingham B15 2TT, UK
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38
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Zhu H, Yang H, Zhan L, Chen Y, Wang J, Xu F. Hydrogel-Based Smart Contact Lens for Highly Sensitive Wireless Intraocular Pressure Monitoring. ACS Sens 2022; 7:3014-3022. [PMID: 36260093 DOI: 10.1021/acssensors.2c01299] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Real-time intraocular pressure (IOP) monitoring plays a crucial role in glaucoma diagnosis and treatment. The wireless smart contact lens based on a flexible inductor-capacitor-resistor (LCR) sensor is chip-free and battery-free, demonstrating excellent application potential for physiological signal monitoring. To promote the use of LCR contact lenses for clinical IOP monitoring, reliable, comfortable contact lens materials should be used and excellent sensitivity needs to be realized. Here, we propose a method for producing hydrogel-based smart contact lenses for wireless IOP monitoring that uses the conformal stacking technique, solving the problems of swelling of the hydrogel and spherical integration of the pyramid-microstructured dielectric elastomer. The IOP of the in vitro porcine eye is successfully monitored owing to the high sensitivity of the spherical pyramid-microstructured capacitive pressure sensor and the hydrogel substrate. In addition, a glasses-integrated impedance-matching tunable reader for remote signal measurement is realized by enhancing the signal amplitude and increasing the reading distance, improving the portability of the signal measurement equipment. With the above improved designs, the wireless contact lens system has application potential for clinical IOP monitoring and shows substantial promise for next-generation daily ocular health management.
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Affiliation(s)
- Hengtian Zhu
- College of Engineering and Applied Sciences and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing210023, China
| | - Huan Yang
- College of Engineering and Applied Sciences and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing210023, China
| | - Liuwei Zhan
- College of Engineering and Applied Sciences and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing210023, China
| | - Ye Chen
- College of Engineering and Applied Sciences and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing210023, China
| | - Junming Wang
- Department of Ophthalmology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan430030, China
| | - Fei Xu
- College of Engineering and Applied Sciences and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing210023, China
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39
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Abramson A, Chan CT, Khan Y, Mermin-Bunnell A, Matsuhisa N, Fong R, Shad R, Hiesinger W, Mallick P, Gambhir SS, Bao Z. A flexible electronic strain sensor for the real-time monitoring of tumor regression. SCIENCE ADVANCES 2022; 8:eabn6550. [PMID: 36112679 PMCID: PMC9481124 DOI: 10.1126/sciadv.abn6550] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 07/12/2022] [Indexed: 05/02/2023]
Abstract
Assessing the efficacy of cancer therapeutics in mouse models is a critical step in treatment development. However, low-resolution measurement tools and small sample sizes make determining drug efficacy in vivo a difficult and time-intensive task. Here, we present a commercially scalable wearable electronic strain sensor that automates the in vivo testing of cancer therapeutics by continuously monitoring the micrometer-scale progression or regression of subcutaneously implanted tumors at the minute time scale. In two in vivo cancer mouse models, our sensor discerned differences in tumor volume dynamics between drug- and vehicle-treated tumors within 5 hours following therapy initiation. These short-term regression measurements were validated through histology, and caliper and bioluminescence measurements taken over weeklong treatment periods demonstrated the correlation with longer-term treatment response. We anticipate that real-time tumor regression datasets could help expedite and automate the process of screening cancer therapies in vivo.
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Affiliation(s)
- Alex Abramson
- Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA
| | - Carmel T. Chan
- Department of Radiology, Stanford University, Stanford, CA 94305, USA
- Molecular Imaging Program at Stanford (MIPS) and Bio-X Program, Stanford University, Stanford CA, 94305, USA
| | - Yasser Khan
- Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA
| | - Alana Mermin-Bunnell
- Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Naoji Matsuhisa
- Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA
| | - Robyn Fong
- Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Rohan Shad
- Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - William Hiesinger
- Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Parag Mallick
- Department of Radiology, Stanford University, Stanford, CA 94305, USA
- Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, CA 94305, USA
| | - Sanjiv Sam Gambhir
- Department of Radiology, Stanford University, Stanford, CA 94305, USA
- Molecular Imaging Program at Stanford (MIPS) and Bio-X Program, Stanford University, Stanford CA, 94305, USA
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
- Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, CA 94305, USA
- Department of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Zhenan Bao
- Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA
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40
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Shen Z, Liu F, Huang S, Wang H, Yang C, Hang T, Tao J, Xia W, Xie X. Progress of flexible strain sensors for physiological signal monitoring. Biosens Bioelectron 2022; 211:114298. [DOI: 10.1016/j.bios.2022.114298] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 04/15/2022] [Accepted: 04/19/2022] [Indexed: 11/27/2022]
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41
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Nie Z, Kwak JW, Han M, Rogers JA. Mechanically Active Materials and Devices for Bio-Interfaced Pressure Sensors-A Review. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022:e2205609. [PMID: 35951770 DOI: 10.1002/adma.202205609] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 07/31/2022] [Indexed: 06/15/2023]
Abstract
Pressures generated by external forces or by internal body processes represent parameters of critical importance in diagnosing physiological health and in anticipating injuries. Examples span intracranial hypertension from traumatic brain injuries, high blood pressure from poor diet, pressure-induced skin ulcers from immobility, and edema from congestive heart failure. Pressures measured on the soft surfaces of vital organs or within internal cavities of the body can provide essential insights into patient status and progression. Challenges lie in the development of high-performance pressure sensors that can softly interface with biological tissues to enable safe monitoring for extended periods of time. This review focuses on recent advances in mechanically active materials and structural designs for classes of soft pressure sensors that have proven uses in these contexts. The discussions include applications of such sensors as implantable and wearable systems, with various unique capabilities in wireless continuous monitoring, minimally invasive deployment, natural degradation in biofluids, and/or multiplexed spatiotemporal mapping. A concluding section summarizes challenges and future opportunities for this growing field of materials and biomedical research.
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Affiliation(s)
- Zhongyi Nie
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
| | - Jean Won Kwak
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Mengdi Han
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA
- Departments of Biomedical Engineering, Materials Science and Engineering, Neurological Surgery, Chemistry, and Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, 60208, USA
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Aksoy B, Hao Y, Grasso G, Digumarti KM, Cacucciolo V, Shea H. Shielded soft force sensors. Nat Commun 2022; 13:4649. [PMID: 35945227 PMCID: PMC9363457 DOI: 10.1038/s41467-022-32391-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 07/29/2022] [Indexed: 11/24/2022] Open
Abstract
Force and strain sensors made of soft materials enable robots to interact intelligently with their surroundings. Capacitive sensing is widely adopted thanks to its low power consumption, fast response, and facile fabrication. Capacitive sensors are, however, susceptible to electromagnetic interference and proximity effects and thus require electrical shielding. Shielding has not been previously implemented in soft capacitive sensors due to the parasitic capacitance between the shield and sensing electrodes, which changes when the sensor is deformed. We address this crucial challenge by patterning the central sensing elastomer layer to control its compressibility. One design uses an ultrasoft silicone foam, and the other includes microchannels filled with liquid metal and air. The force resolution is sub-mN both in normal and shear directions, yet the sensor withstands large forces (>20 N), demonstrating a wide dynamic range. Performance is unaffected by nearby high DC and AC electric fields and even electric sparks. Capacitive soft force sensors require electrical shielding from electromagnetic interference, but this shielding can mess with the effectiveness of the sensing electrodes. Here, Aksoy et al. solve this problem by patterning the central sensing elastomer layer to control its compressibility.
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Affiliation(s)
- Bekir Aksoy
- Soft Transducers Laboratory (LMTS), Ecole Polytechnique Fédérale de Lausanne (EPFL), Neuchâtel, 2000, Switzerland
| | - Yufei Hao
- Soft Transducers Laboratory (LMTS), Ecole Polytechnique Fédérale de Lausanne (EPFL), Neuchâtel, 2000, Switzerland
| | - Giulio Grasso
- Soft Transducers Laboratory (LMTS), Ecole Polytechnique Fédérale de Lausanne (EPFL), Neuchâtel, 2000, Switzerland
| | - Krishna Manaswi Digumarti
- Soft Transducers Laboratory (LMTS), Ecole Polytechnique Fédérale de Lausanne (EPFL), Neuchâtel, 2000, Switzerland
| | - Vito Cacucciolo
- Soft Transducers Laboratory (LMTS), Ecole Polytechnique Fédérale de Lausanne (EPFL), Neuchâtel, 2000, Switzerland
| | - Herbert Shea
- Soft Transducers Laboratory (LMTS), Ecole Polytechnique Fédérale de Lausanne (EPFL), Neuchâtel, 2000, Switzerland.
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43
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Improved Stretchable and Sensitive Fe Nanowire-Based Strain Sensor by Optimizing Areal Density of Nanowire Network. Molecules 2022; 27:molecules27154717. [PMID: 35897893 PMCID: PMC9331932 DOI: 10.3390/molecules27154717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 07/19/2022] [Accepted: 07/21/2022] [Indexed: 12/10/2022] Open
Abstract
Flexible strain sensors, when considering high sensitivity and a large strain range, have become a key requirement for current robotic applications. However, it is still a thorny issue to take both factors into consideration at the same time. Here, we report a sandwich-structured strain sensor based on Fe nanowires (Fe NWs) that has a high GF (37–53) while taking into account a large strain range (15–57.5%), low hysteresis (2.45%), stability, and low cost with an areal density of Fe NWs of 4.4 mg/cm2. Additionally, the relationship between the contact point of the conductive network, the output resistance, and the areal density of the sensing unit is analyzed. Microscopically, the contact points of the conductive network directly affect the sensor output resistance distribution, thereby affecting the gauge factor (GF) of the sensor. Macroscopically, the areal density and the output resistivity of the strain sensor have the opposite percolation theory, which affects its linearity performance. At the same time, there is a positive correlation between the areal density and the contact point: when the stretching amount is constant, it theoretically shows that the areal density affects the GF. When the areal density reaches this percolation threshold range, the sensing performance is the best. This will lay the foundation for rapid applications in wearable robots.
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Pei D, An C, Zhao B, Ge M, Wang Z, Dong W, Wang C, Deng Y, Song D, Ma Z, Han Y, Geng Y. Polyurethane-Based Stretchable Semiconductor Nanofilms with High Intrinsic Recovery Similar to Conventional Elastomers. ACS APPLIED MATERIALS & INTERFACES 2022; 14:33806-33816. [PMID: 35849824 DOI: 10.1021/acsami.2c07445] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Polymer semiconductors with large elastic recovery (ER) under high strain in thin film state are highly desirable for stretchable electronics. Here we report a type of stretchable semiconductor PU(DPP)x, by copolymerization of oligodiketopyrrolopyrrole-based conjugated block and hydrogenated polybutadiene flexible block via urethane linkage for intermolecular hydrogen bonding. By regulating block ratio, PU(DPP)35 with 35 wt % conjugated block exhibits high intrinsic ER > 80% under 175% strain (ε) in pseudo free-standing thin film state, comparable with commercial elastomers, and crack onset strain (COS) > 300% along with maximum hole mobility of 0.19 cm2 V-1 s-1 in organic thin film transistors to bring it to the best performing block copolymer-type stretchable semiconductors. Enhanced mobility is achieved using PU(DPP)35 as the binder for conjugated polymer PDPPT3. The 25 wt %-PDPPT3 blend displays mobility up to 1.28 cm2 V-1 s-1 along with COS ∼120%, and 10 wt %-PDPPT3 blend exhibits ER of 78% at ε = 150%, COS of ∼230%, modulus of 36.5 MPa, maximum mobility of 0.62 cm2 V-1 s-1 and no obvious degradation of mobility at ε = 150% after 100 cycles of strain. Moreover, the structural similarity enables the blend film uniform and stable microstructure against mechanical and thermal deformation. Notably, PU(DPP)35 and the blend are characterized by high mechanical performance similar to that of commercial elastomers in thin film state, and demonstrate their potential for high performance stretchable electronics.
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Affiliation(s)
- Dandan Pei
- School of Materials Science and Engineering, and Tianjin Key Laboratory of Molecular Optoelectronic Science, Tianjin University, Tianjin 300072, China
| | - Chuanbin An
- Joint School of National University of Singapore and Tianjin University, International Campus of Tianjin University, Fuzhou 350207, China
| | - Bin Zhao
- School of Materials Science and Engineering, and Tianjin Key Laboratory of Molecular Optoelectronic Science, Tianjin University, Tianjin 300072, China
| | - Mengke Ge
- Institute for New Energy Materials & Low-Carbon Technologies, School of Materials Science and Engineering, Tianjin University of Technology, Tianjin 300384, China
| | - Zhongli Wang
- School of Materials Science and Engineering, and Tianjin Key Laboratory of Molecular Optoelectronic Science, Tianjin University, Tianjin 300072, China
| | - Weijia Dong
- School of Materials Science and Engineering, and Tianjin Key Laboratory of Molecular Optoelectronic Science, Tianjin University, Tianjin 300072, China
| | - Cheng Wang
- Institute for New Energy Materials & Low-Carbon Technologies, School of Materials Science and Engineering, Tianjin University of Technology, Tianjin 300384, China
| | - Yunfeng Deng
- School of Materials Science and Engineering, and Tianjin Key Laboratory of Molecular Optoelectronic Science, Tianjin University, Tianjin 300072, China
| | - Dongpo Song
- Tianjin Key Laboratory of Composite and Functional Materials, School of Materials Science and Engineering, Tianjin University, Tianjin 300350, China
| | - Zhe Ma
- Tianjin Key Laboratory of Composite and Functional Materials, School of Materials Science and Engineering, Tianjin University, Tianjin 300350, China
| | - Yang Han
- School of Materials Science and Engineering, and Tianjin Key Laboratory of Molecular Optoelectronic Science, Tianjin University, Tianjin 300072, China
| | - Yanhou Geng
- School of Materials Science and Engineering, and Tianjin Key Laboratory of Molecular Optoelectronic Science, Tianjin University, Tianjin 300072, China
- Joint School of National University of Singapore and Tianjin University, International Campus of Tianjin University, Fuzhou 350207, China
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Shi Z, Meng L, Shi X, Li H, Zhang J, Sun Q, Liu X, Chen J, Liu S. Morphological Engineering of Sensing Materials for Flexible Pressure Sensors and Artificial Intelligence Applications. NANO-MICRO LETTERS 2022; 14:141. [PMID: 35789444 PMCID: PMC9256895 DOI: 10.1007/s40820-022-00874-w] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 05/04/2022] [Indexed: 05/05/2023]
Abstract
Various morphological structures in pressure sensors with the resulting advanced sensing properties are reviewed comprehensively. Relevant manufacturing techniques and intelligent applications of pressure sensors are summarized in a complete and interesting way. Future challenges and perspectives of flexible pressure sensors are critically discussed.
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Affiliation(s)
- Zhengya Shi
- School of Materials Science and Engineering, Henan Key Laboratory of Advanced Nylon Materials and Application, Henan Innovation Center for Functional Polymer Membrane Materials, Zhengzhou University, Zhengzhou, 450001, People's Republic of China
| | - Lingxian Meng
- School of Materials Science and Engineering, Henan Key Laboratory of Advanced Nylon Materials and Application, Henan Innovation Center for Functional Polymer Membrane Materials, Zhengzhou University, Zhengzhou, 450001, People's Republic of China
| | - Xinlei Shi
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, 352001, People's Republic of China
| | - Hongpeng Li
- School of Mechanical Engineering, Yangzhou University, Yangzhou, 225127, People's Republic of China
| | - Juzhong Zhang
- School of Materials Science and Engineering, Henan Key Laboratory of Advanced Nylon Materials and Application, Henan Innovation Center for Functional Polymer Membrane Materials, Zhengzhou University, Zhengzhou, 450001, People's Republic of China
| | - Qingqing Sun
- School of Materials Science and Engineering, Henan Key Laboratory of Advanced Nylon Materials and Application, Henan Innovation Center for Functional Polymer Membrane Materials, Zhengzhou University, Zhengzhou, 450001, People's Republic of China
| | - Xuying Liu
- School of Materials Science and Engineering, Henan Key Laboratory of Advanced Nylon Materials and Application, Henan Innovation Center for Functional Polymer Membrane Materials, Zhengzhou University, Zhengzhou, 450001, People's Republic of China
| | - Jinzhou Chen
- School of Materials Science and Engineering, Henan Key Laboratory of Advanced Nylon Materials and Application, Henan Innovation Center for Functional Polymer Membrane Materials, Zhengzhou University, Zhengzhou, 450001, People's Republic of China
| | - Shuiren Liu
- School of Materials Science and Engineering, Henan Key Laboratory of Advanced Nylon Materials and Application, Henan Innovation Center for Functional Polymer Membrane Materials, Zhengzhou University, Zhengzhou, 450001, People's Republic of China.
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Gao J, Fan Y, Zhang Q, Luo L, Hu X, Li Y, Song J, Jiang H, Gao X, Zheng L, Zhao W, Wang Z, Ai W, Wei Y, Lu Q, Xu M, Wang Y, Song W, Wang X, Huang W. Ultra-Robust and Extensible Fibrous Mechanical Sensors for Wearable Smart Healthcare. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2107511. [PMID: 35306697 DOI: 10.1002/adma.202107511] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 03/16/2022] [Indexed: 06/14/2023]
Abstract
Fibrous material with high strength and large stretchability is an essential component of high-performance wearable electronic devices. Wearable electronic systems require a material that is strong to ensure durability and stability, and a wide range of strain to expand their applications. However, it is still challenging to manufacture fibrous materials with simultaneously high mechanical strength and the tensile property. Herein, the ultra-robust (≈17.6 MPa) and extensible (≈700%) conducting microfibers are developed and demonstrated their applications in fabricating fibrous mechanical sensors. The mechanical sensor shows high sensitivity in detecting strains that have high strain resolution and a large detection range (from 0.0075% to 400%) simultaneously. Moreover, low frequency vibrations between 0 and 40 Hz are also detected, which covers most tremors that occur in the human body. As a further step, a wearable and smart health-monitoring system has been developed using the fibrous mechanical sensor, which is capable of monitoring health-related physiological signals, including muscle movement, body tremor, wrist pulse, respiration, gesture, and six body postures to predict and diagnose diseases, which will promote the wearable telemedicine technology.
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Affiliation(s)
- Jiuwei Gao
- Frontiers Science Center for Flexible Electronics (FSCFE) & Institute of Flexible Electronics (IFE), Northwestern Polytechnical University, Xi'an, 710072, China
- MIIT Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Yubo Fan
- School of Information Science and Technology, Northwest University, Xi'an, 710069, P. R. China
| | - Qingtian Zhang
- Beijing Engineering Research Center for Mixed Reality and Advanced Display, School of Optoelectronics, Beijing Institute of Technology, Beijing, 100081, P. R. China
| | - Lei Luo
- Frontiers Science Center for Flexible Electronics (FSCFE) & Institute of Flexible Electronics (IFE), Northwestern Polytechnical University, Xi'an, 710072, China
- MIIT Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Xiaoqi Hu
- Frontiers Science Center for Flexible Electronics (FSCFE) & Institute of Flexible Electronics (IFE), Northwestern Polytechnical University, Xi'an, 710072, China
- MIIT Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Yue Li
- Frontiers Science Center for Flexible Electronics (FSCFE) & Institute of Flexible Electronics (IFE), Northwestern Polytechnical University, Xi'an, 710072, China
- MIIT Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Juncai Song
- Frontiers Science Center for Flexible Electronics (FSCFE) & Institute of Flexible Electronics (IFE), Northwestern Polytechnical University, Xi'an, 710072, China
- MIIT Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Hanjun Jiang
- Frontiers Science Center for Flexible Electronics (FSCFE) & Institute of Flexible Electronics (IFE), Northwestern Polytechnical University, Xi'an, 710072, China
- MIIT Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Xiaoyu Gao
- Frontiers Science Center for Flexible Electronics (FSCFE) & Institute of Flexible Electronics (IFE), Northwestern Polytechnical University, Xi'an, 710072, China
- MIIT Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Lu Zheng
- Frontiers Science Center for Flexible Electronics (FSCFE) & Institute of Flexible Electronics (IFE), Northwestern Polytechnical University, Xi'an, 710072, China
- MIIT Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
- Shaanxi Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Wu Zhao
- School of Information Science and Technology, Northwest University, Xi'an, 710069, P. R. China
| | - Zhenhua Wang
- Frontiers Science Center for Flexible Electronics (FSCFE) & Institute of Flexible Electronics (IFE), Northwestern Polytechnical University, Xi'an, 710072, China
- MIIT Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
- Shaanxi Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Wei Ai
- Frontiers Science Center for Flexible Electronics (FSCFE) & Institute of Flexible Electronics (IFE), Northwestern Polytechnical University, Xi'an, 710072, China
- MIIT Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
- Shaanxi Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Yuan Wei
- Frontiers Science Center for Flexible Electronics (FSCFE) & Institute of Flexible Electronics (IFE), Northwestern Polytechnical University, Xi'an, 710072, China
- MIIT Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
- Shaanxi Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Qianbo Lu
- Frontiers Science Center for Flexible Electronics (FSCFE) & Institute of Flexible Electronics (IFE), Northwestern Polytechnical University, Xi'an, 710072, China
- MIIT Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
- Shaanxi Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Manzhang Xu
- Frontiers Science Center for Flexible Electronics (FSCFE) & Institute of Flexible Electronics (IFE), Northwestern Polytechnical University, Xi'an, 710072, China
- MIIT Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
- Shaanxi Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Yongtian Wang
- Beijing Engineering Research Center for Mixed Reality and Advanced Display, School of Optoelectronics, Beijing Institute of Technology, Beijing, 100081, P. R. China
- AICFVE of Beijing Film Academy, Beijing, 100088, P. R. China
| | - Weitao Song
- Beijing Engineering Research Center for Mixed Reality and Advanced Display, School of Optoelectronics, Beijing Institute of Technology, Beijing, 100081, P. R. China
| | - Xuewen Wang
- Frontiers Science Center for Flexible Electronics (FSCFE) & Institute of Flexible Electronics (IFE), Northwestern Polytechnical University, Xi'an, 710072, China
- MIIT Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
- Shaanxi Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Wei Huang
- Frontiers Science Center for Flexible Electronics (FSCFE) & Institute of Flexible Electronics (IFE), Northwestern Polytechnical University, Xi'an, 710072, China
- MIIT Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
- Shaanxi Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China
- State Key Laboratory of Organic Electronics and Information Displays, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, P. R. China
- Key Laboratory of Flexible Electronics (KLoFE) and Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), Nanjing, 211800, P. R. China
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Mustafa M, Rizwan M, Kashif M, Khan T, Waseem M, Annuk A. LC Passive Wireless Sensor System Based on Two Switches for Detection of Triple Parameters. SENSORS 2022; 22:s22083024. [PMID: 35459008 PMCID: PMC9025355 DOI: 10.3390/s22083024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 04/05/2022] [Accepted: 04/12/2022] [Indexed: 11/16/2022]
Abstract
This paper presents the LC-type passive wireless sensing system for the simultaneous and independent detection of triple parameters, featuring three different capacitive sensors controlled by two mechanical switches. The sensor coil was connected with three different capacitors in parallel and two mechanical switches were in series between every two capacitors, which made the whole system have three resonant frequencies. The readout coil was magnetically coupled with the sensor coil to interrogate the sensor wirelessly. The circuit was simulated advanced design system (ADS) software, and the LC sensor system was mathematically analyzed by MATLAB. Results showed that the proposed LC sensing system could test three different capacitive sensors by detecting three different resonant frequencies. The sensitivity of sensors could be determined by the capacitance calculated from the detected resonant frequencies, and the resolution of capacitance was 0.1 PF and 0.2 PF when using the proposed sensor system in practical applications. To validate the proposed scheme, a PCB inductor and three variable capacitors were constructed with two mechanical switches to realize the desired system. Experimental results closely verified the simulation outputs.
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Affiliation(s)
- Muhammad Mustafa
- Micro/Nano Systems Integration R&D Centre, School of Microelectronics, University of Science and Technology of China, Hefei 230026, China;
| | - Mian Rizwan
- School of Electrical Engineering, Southeast University, Nanjing 210096, China; (M.R.); (M.K.)
| | - Muhammad Kashif
- School of Electrical Engineering, Southeast University, Nanjing 210096, China; (M.R.); (M.K.)
| | - Tahir Khan
- School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;
| | - Muhammad Waseem
- School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;
- Correspondence:
| | - Andres Annuk
- Chair of Energy Application Engineering, Institute of Forestry and Engineering, Estonian University of Life Sciences, 51006 Tartu, Estonia;
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Yang M, Ye Z, Alsaab N, Farhat M, Chen PY. In-Vitro Demonstration of Ultra-Reliable, Wireless and Batteryless Implanted Intracranial Sensors Operated on Loci of Exceptional Points. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2022; 16:287-295. [PMID: 35380967 DOI: 10.1109/tbcas.2022.3164697] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Vital signal monitoring, such as pulse, respiration rate, intra-organ and intra-vascular pressure, can provide important information for determination of clinic diagnosis, treatments, and surgical protocols. Nowadays, micromachined bioimplants, equipped with antennas for converting bio-signals to modulated radio transmissions, may allow remote continuous monitoring of patients' vital signs. Yet, current passive biotelemetry techniques usually suffer from poor signal reproducibility and robustness in light of inevitable misalignment between transmitting and receiving antennas. Here, we seek to address this long-existing challenge and to robustly acquire information from a passive wireless intracranial pressure (or brain pressure) sensor by introducing a novel, high-performance biotelemetry system. In spite of variable inductive links, this biotelemetry system may have absolute accuracy by leveraging the uniqueness of loci of exceptional points (EPs) in non-Hermitian radio-frequency (RF) electronic systems with parity-time (PT) symmetry. Our in-vitro experimental demonstration shows that the proposed intracranial (ICP) monitoring system can provide a sub-mmHg resolution in the ICP range of 0-20 mmHg and ultra-robust wireless data acquisition against the misalignment-induced weakening of inductive link. Our results could provide a practical pathway toward reliable, real-time wireless monitoring of ICP, and other vital signals generated by bio-implants and wearables.
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Shape and stiffness memory ionogels with programmable pressure-resistance response. Nat Commun 2022; 13:1743. [PMID: 35365651 PMCID: PMC8976034 DOI: 10.1038/s41467-022-29424-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 03/15/2022] [Indexed: 11/08/2022] Open
Abstract
Flexible pressure sensors usually require functional materials with both mechanical compliance and appropriate electrical performance. Most sensors based on materials with limited compressibility can hardly balance between high sensitivity and broad pressure range. Here, we prepare a heterophasic ionogel with shape and stiffness memory for adaptive pressure sensors. By combining the microstructure alignment for stiffness changing and shape memory micro-inclusions for stiffness fixing, the heterophasic ionogels reveal tunable compressibility. This controllable pressure-deformation property of the ionogels results in the pressure sensors' programmable pressure-resistance behavior with tunable pressure ranges, varied detection limits, and good resolution at high pressure. Broad pressure ranges to 220 and 380 kPa, and tunable detection limit from 120 to 330 and 950 Pa are realized by the stiffness memory ionogel sensors. Adaptive detection is also brought out to monitor tiny pressure changes at low stiffness and distinguish different human motions at high stiffness. Using shape and stiffness memory materials in pressure sensors is a general design to achieve programmable performance for more complex application scenarios.
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Dautta M, Hajiaghajani A, Ye F, Escobar AR, Jimenez A, Dia KKH, Tseng P. Programmable Multiwavelength Radio Frequency Spectrometry of Chemophysical Environments through an Adaptable Network of Flexible and Environmentally Responsive, Passive Wireless Elements. SMALL SCIENCE 2022. [DOI: 10.1002/smsc.202200013] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Manik Dautta
- Department of Electrical Engineering and Computer Science University of California Irvine Engineering Hall #3110 Irvine CA 92697 USA
| | - Amirhossein Hajiaghajani
- Department of Electrical Engineering and Computer Science University of California Irvine Engineering Hall #3110 Irvine CA 92697 USA
| | - Fan Ye
- Department of Electrical Engineering and Computer Science University of California Irvine Engineering Hall #3110 Irvine CA 92697 USA
| | - Alberto Ranier Escobar
- Department of Biomedical Engineering University of California Irvine Engineering Hall #3110 Irvine CA 92697 USA
| | - Abel Jimenez
- Department of Electrical Engineering and Computer Science University of California Irvine Engineering Hall #3110 Irvine CA 92697 USA
| | - Kazi Khurshidi Haque Dia
- Department of Electrical Engineering and Computer Science University of California Irvine Engineering Hall #3110 Irvine CA 92697 USA
| | - Peter Tseng
- Department of Electrical Engineering and Computer Science University of California Irvine Engineering Hall #3110 Irvine CA 92697 USA
- Department of Biomedical Engineering University of California Irvine Engineering Hall #3110 Irvine CA 92697 USA
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