1
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Chen Y, Zhang H, Hong G, Li L, Qu Q. Human bio-electric generator: Self-powered cellulose-based wearable sensor with ultra-stretchability and low-grade body heat harvesting. Carbohydr Polym 2025; 355:123349. [PMID: 40037729 DOI: 10.1016/j.carbpol.2025.123349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2024] [Revised: 01/30/2025] [Accepted: 02/02/2025] [Indexed: 03/06/2025]
Abstract
Integrating ultra-stretchability to adapt seamlessly to human movement, while ensuring complete independence from external power sources, presents a substantial challenge for the development of advanced bioelectronic systems. This challenge becomes even more critical as the demand for wearable technologies that can both harvest energy and monitor physiological signals grows. In response to these needs, we introduce a bio-flexible thermoelectric gel composed of microcrystalline cellulose (MCC) and poly (deep eutectic solvent) (PDES), which is synthesized via a simple one-pot method for body heat harvesting in self-powered sensors. The resulting sensor demonstrates impressive performance: a Seebeck coefficient of 25.86 mV K-1, low thermal conductivity of 0.2972 W m-1 K-1and a ZT value of 0.27 at room temperature. Additionally, it exhibits remarkable mechanical flexibility, with an elongation at break of 2080 %, making it highly suitable for detecting significant bodily deformations. The supramolecular hydrogen bonding network within gel ensures excellent mechanical properties and sensing sensitivity even at low temperatures (∼249.15 K). Overall, PDES-MCC2% sensor holds great potential for smart wearable applications like generators, respiratory monitoring and motion optimization, marking a significant step toward truly autonomous, sustainable bioelectronic systems that could revolutionize daily tech interaction.
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Affiliation(s)
- Yuxi Chen
- School of Chemical Science and Technology, Yunnan University, Kunming 650500, China
| | - Hexi Zhang
- School of Chemical Science and Technology, Yunnan University, Kunming 650500, China
| | - Gonghua Hong
- School of Chemical Science and Technology, Yunnan University, Kunming 650500, China; BMI Center for Biomass Materials and Nanointerfaces, College of Biomass Science and Engineering, Sichuan University, Chengdu, Sichuan 610065, China.
| | - Lei Li
- State Key Laboratory for Conservation and Utilization of Bio-resources in Yunnan, Yunnan University, Kunming 650500, China.
| | - Qing Qu
- School of Chemical Science and Technology, Yunnan University, Kunming 650500, China.
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2
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Selvan T M, Mondal T. Prognosis of Cardiovascular Conditions Noninvasively Using Printable Elastomeric Electronic Skin. Adv Healthc Mater 2025; 14:e2404056. [PMID: 39745132 DOI: 10.1002/adhm.202404056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2024] [Revised: 12/17/2024] [Indexed: 03/04/2025]
Abstract
Lack of timely prognosis of cardiovascular condition (CVC) is resulting in increased mortality across the globe. Currently, available techniques are confined to medical facilities and need the intervention of specialists. Frequently, this impedes timely treatment, driven by socioeconomic factors. Consequently, the disease transcends toward incurable complications. In such a scenario, point-of-care diagnostic tools can help with prognosis at an early stage. Albeit there are such tools available, it is imperative to develop affordably in uncomplicated manufacturing techniques and should have simple readout and analysis modules for monitoring CVC. Accordingly, the solvent-free manufacturing of stencil printable liquid elastomer-carbon nanotube electronic skin-based strain sensor, capable of accurately detecting pulse (at different positions) and other parameters like augmentation index and stiffness index of artery related to the CVC, is reported. The Poincare plot, derived from the recorded data, measures heart rate variability, a key indicator linked to mortality. Thanks to the staggering linearity, gauge factor of 234.26, fast response time of 85 ms (measured from pulse data), and cyclic stability (over 500 cycles), assist in the ease of detection of vital parameters. Furthermore, the sensor patch demonstrates its capability to acquire pulse waves under different real-time artery conditions using cuff-based pressure applications.
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Affiliation(s)
- Muthamil Selvan T
- Rubber Technology Centre, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
| | - Titash Mondal
- Rubber Technology Centre, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
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3
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Hu B, Xu D, Shao Y, Nie Z, Liu P, Li J, Zhou L, Wang P, Huang N, Liu J, Lu Y, Wu Z, Wang B, Mei Y, Han M, Li R, Song E. Ultrathin crystalline silicon-based omnidirectional strain gauges for implantable/wearable characterization of soft tissue biomechanics. SCIENCE ADVANCES 2024; 10:eadp8804. [PMID: 39383239 PMCID: PMC11463283 DOI: 10.1126/sciadv.adp8804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 09/05/2024] [Indexed: 10/11/2024]
Abstract
Monitoring soft-tissue biomechanics is of interest in biomedical research and clinical treatment of diseases. An important focus is biointegrated strain gauges that track time-dependent mechanics of targeted tissues with deforming surfaces over multidirections. Existing methods provide limited gauge factors, tailored for sensing within specific directions under quasi-static conditions. We present development and applicability of implantable/wearable strain gauges that integrate multiple ultrathin monocrystalline silicon-based sensors aligned with different directions, in stretchable formats for dynamically monitoring direction angle-sensitive strain. We experimentally and computationally establish operational principles, with theoretical systems that enable determination of intensities and direction of applied strains at an omnidirectional scale. Wearable evaluations range from cardiac pulse to intraocular pressure monitoring of eyeballs. The device can evaluate cardiac disorders of myocardial infarction and hypoxia of living rats and locate the pathological orientation associated with infarction, in designs with possibilities as biodegradable implants for stable operation. These findings create clinical significance of the devices for monitoring complex dynamic biomechanics.
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Affiliation(s)
- Bofan Hu
- Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Department of Materials Science, Fudan University, Shanghai, China
- International Institute for Intelligent Nanorobots and Nanosystems, Fudan University, Shanghai 200438, China
| | - Dian Xu
- School of Mechanics and Aerospace Engineering, State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, and International Research Center for Computational Mechanics, Dalian University of Technology, Dalian 116024, China
| | - Yuting Shao
- Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Department of Materials Science, Fudan University, Shanghai, China
- Department of Ophthalmology, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China
| | - Zhongyi Nie
- Department of Biomedical Engineering, College of Future technology, Peking University, Beijing 100871, China
| | - Pengchuan Liu
- Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Department of Materials Science, Fudan University, Shanghai, China
- International Institute for Intelligent Nanorobots and Nanosystems, Fudan University, Shanghai 200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang 322000, China
| | - Jinbao Li
- School of Mechanics and Aerospace Engineering, State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, and International Research Center for Computational Mechanics, Dalian University of Technology, Dalian 116024, China
| | - Lianjie Zhou
- Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Department of Materials Science, Fudan University, Shanghai, China
- International Institute for Intelligent Nanorobots and Nanosystems, Fudan University, Shanghai 200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang 322000, China
| | - Pei Wang
- Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Naval Medical University (Second Military Medical University), Shanghai 200003, China
| | - Ningge Huang
- Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Department of Materials Science, Fudan University, Shanghai, China
- International Institute for Intelligent Nanorobots and Nanosystems, Fudan University, Shanghai 200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang 322000, China
| | - Junhan Liu
- Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Department of Materials Science, Fudan University, Shanghai, China
- International Institute for Intelligent Nanorobots and Nanosystems, Fudan University, Shanghai 200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang 322000, China
| | - Yifei Lu
- Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Department of Materials Science, Fudan University, Shanghai, China
- International Institute for Intelligent Nanorobots and Nanosystems, Fudan University, Shanghai 200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang 322000, China
| | - Zhongyuan Wu
- Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Department of Materials Science, Fudan University, Shanghai, China
- International Institute for Intelligent Nanorobots and Nanosystems, Fudan University, Shanghai 200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang 322000, China
| | - Bo Wang
- School of Mechanics and Aerospace Engineering, State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, and International Research Center for Computational Mechanics, Dalian University of Technology, Dalian 116024, China
| | - Yongfeng Mei
- Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Department of Materials Science, Fudan University, Shanghai, China
- International Institute for Intelligent Nanorobots and Nanosystems, Fudan University, Shanghai 200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang 322000, China
| | - Mengdi Han
- Department of Biomedical Engineering, College of Future technology, Peking University, Beijing 100871, China
| | - Rui Li
- School of Mechanics and Aerospace Engineering, State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, and International Research Center for Computational Mechanics, Dalian University of Technology, Dalian 116024, China
| | - Enming Song
- Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Department of Materials Science, Fudan University, Shanghai, China
- International Institute for Intelligent Nanorobots and Nanosystems, Fudan University, Shanghai 200438, China
- State Key Laboratory of Integrated Chips and Systems, Frontier Institute of Chip and System, Fudan University, Shanghai 200438, China
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4
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Tian S, Wang L, Zhu R. A flexible multimodal pulse sensor for wearable continuous blood pressure monitoring. MATERIALS HORIZONS 2024; 11:2428-2437. [PMID: 38441176 DOI: 10.1039/d3mh01999c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2024]
Abstract
Monitoring of arterial blood pressure via cuffless pulse waveform measurement at the wrist has an important clinical value for the early diagnosis and prevention of cardiovascular disease. However, accurate measurement of the radial pulse waveform is challenging owing to its subtle, wideband, and preload-dependent variation characteristics. Evidence shows that uncertainties or variations of wearing pressure and skin temperature can cause artifact signals in wrist pulse measurements, thus degrading blood pressure estimate accuracy and hindering precise clinical diagnosis. Herein, we report a flexible multisensory pulse sensor utilizing natural piezo-thermic transduction of human skin in conjunction with thin-film thermistors for the accurately measuring radial artery pulse waves with high fidelity and good anti-artifact performance. The flexible pulse sensor achieved a wide pressure measuring range (228.2 kPa), low detection limit (4 Pa), good linearity (R2 = 0.999), low hysteresis (2.45%), fast response (88 ms), and good durability and stability, thereby enabling accurate pulse measurement with high fidelity. The pulse sensor also monolithically integrated the simultaneous detections of skin temperature and wearing pressure for resisting artifact effects in pulse measurements. Through the fusion of multiple features extracted from the pulse waveform, wearing pressure, skin temperature and user's personal physical characteristics using an efficient multilayer perceptron, blood pressure is accurately estimated and good generalizability is achieved.
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Affiliation(s)
- Shuo Tian
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, 100084, China.
| | - Liangqi Wang
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, 100084, China.
| | - Rong Zhu
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, 100084, China.
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5
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Lan R, Zhang J, Chen J, Tang W, Wu Q, Zhou X, Kang X, Wang J, Wang H, Li H. High-Sensitivity Flexible Capacitive Pressure Sensors Based on Biomimetic Hibiscus Flower Microstructures. ACS OMEGA 2024; 9:13704-13713. [PMID: 38559999 PMCID: PMC10976407 DOI: 10.1021/acsomega.3c08044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 02/28/2024] [Accepted: 03/06/2024] [Indexed: 04/04/2024]
Abstract
The integration of low-dimensional nanomaterials with microscale architectures in flexible pressure sensors has garnered significant interest due to their outstanding performance in healthcare monitoring. However, achieving high sensitivity across different magnitudes of external pressure remains a critical challenge. Herein, we present a high-performance flexible pressure sensor crafted from biomimetic hibiscus flower microstructures coated with silver nanowires. When compared with a flat electrode, these microstructures as electrodes display significantly enhanced sensitivity and an extended stimulus-response range. Furthermore, we utilized an ionic gel film as the dielectric layer, resulting in an enhancement of the overall performance of the flexible pressure sensor through an increase in interfacial capacitance. Consequently, the capacitive pressure sensor exhibits an extraordinary ultrahigh sensitivity of 48.57 [Kpa]-1 within the pressure range of 0-1 Kpa, 15.24 [Kpa]-1 within the pressure range of 1-30 Kpa, and 3.74 [Kpa]-1 within the pressure range of 30-120 Kpa, accompanied by a rapid response time (<58 ms). The exceptional performance of our flexible pressure sensor serves as a foundation for its numerous applications in healthcare monitoring. Notably, the flexible pressure sensor excels not only in detecting subtle physiological signals such as finger and wrist pulse signals, vocal cord vibrations, and breathing intensity but also demonstrates excellent performance in monitoring higher pressures, such as plantar pressure. We foresee that this flexible pressure sensor possesses significant potential in the field of wearable electronics.
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Affiliation(s)
- Ronghua Lan
- College
of Big Data and Internet, Shenzhen Technology
University, Shenzhen 518118, Guangdong, China
- Shenzhen
Institute of Advanced Technology, Chinese
Academy of Sciences, Shenzhen 518055, Guangdong, China
| | - Jinyong Zhang
- College
of Big Data and Internet, Shenzhen Technology
University, Shenzhen 518118, Guangdong, China
| | - Jing Chen
- Shenzhen
Institute of Advanced Technology, Chinese
Academy of Sciences, Shenzhen 518055, Guangdong, China
| | - Wei Tang
- Shenzhen
Institute of Advanced Technology, Chinese
Academy of Sciences, Shenzhen 518055, Guangdong, China
| | - Qingyang Wu
- College
of Big Data and Internet, Shenzhen Technology
University, Shenzhen 518118, Guangdong, China
| | - Xiaolin Zhou
- College
of Big Data and Internet, Shenzhen Technology
University, Shenzhen 518118, Guangdong, China
| | - Xiaoyang Kang
- Institute
of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
| | - Jue Wang
- Key
Laboratory of Biomedical Information Engineering of Ministry of Education,
School of Life Science and Technology, Institute of Health and Rehabilitation
Science, Xi’an Jiaotong University, Xi’an 710049, Shaanxi, China
| | - Hongbo Wang
- Institute
of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
| | - Hui Li
- College
of Big Data and Internet, Shenzhen Technology
University, Shenzhen 518118, Guangdong, China
- Shenzhen
Institute of Advanced Technology, Chinese
Academy of Sciences, Shenzhen 518055, Guangdong, China
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6
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Li H, Hu J, Luo R, Yang K, Du B, Zhou S, Zhou X. Synergy of Organic/Inorganic and Inner/Outer Cooperative Conductive Networks in Polydimethylsiloxane-Based Porous Foam on High-Performance Flexible Sensors. ACS APPLIED MATERIALS & INTERFACES 2023; 15:54933-54941. [PMID: 37967098 DOI: 10.1021/acsami.3c12636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2023]
Abstract
The development of low-cost and high-performance flexible sensor materials is crucial for the advancement of wearable electronic devices, medical monitoring, and human-machine interfaces. In this study, a poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS)-coated multiwalled carbon nanotube (MWCNT)-reinforced polydimethylsiloxane (PDMS) composite foam with a uniform organic/inorganic and inner/outer cooperative conductive network was developed to detect tensile and compressive forces. The study demonstrates that the internally cross-linked MWCNTs and PEDOT:PSS coatings within the foam framework play a crucial role in the porous structure and sensing properties of the composite foam. Due to the excellent hierarchical pore structure and dual-channel electronic pathway of the PP@MWCNTs/PDMS foam, the sensor exhibited not only high sensitivity to small pressures but also notable perception capability within the stretchable range. It also maintained excellent stability during multiple stretching and compression loading cycles. In terms of applications, the sensor could be used not only to monitor external stimuli and detect subtle movements within the human body in the field of wearable monitoring but also to sense spatial pressure distribution, which validates its potential in the development of flexible wearable sensing devices.
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Affiliation(s)
- Haibin Li
- School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China
| | - Jingbo Hu
- Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi'an 710048, China
- Shanxi Key Laboratory of Advanced Manufacturing Technology, North University of China, Taiyuan 038507, China
| | - Rubai Luo
- Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi'an 710048, China
- Shanxi Key Laboratory of Advanced Manufacturing Technology, North University of China, Taiyuan 038507, China
| | - Kenan Yang
- School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China
| | - Bin Du
- Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi'an 710048, China
- Shaanxi Provincial Key Laboratory of Printing and Packaging Engineering, Xi'an University of Technology, Xi'an 710048, China
| | - Shisheng Zhou
- School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China
- Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi'an 710048, China
- Shaanxi Provincial Key Laboratory of Printing and Packaging Engineering, Xi'an University of Technology, Xi'an 710048, China
| | - Xing Zhou
- Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi'an 710048, China
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7
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Huang Y, Zhao L, Cai M, Zhu J, Wang L, Chen X, Zeng Y, Zhang L, Shi J, Guo CF. Arteriosclerosis Assessment Based on Single-Point Fingertip Pulse Monitoring Using a Wearable Iontronic Sensor. Adv Healthc Mater 2023; 12:e2301838. [PMID: 37602671 DOI: 10.1002/adhm.202301838] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 08/09/2023] [Indexed: 08/22/2023]
Abstract
Arteriosclerosis, which appears as a hardened and narrowed artery with plaque buildup, is the primary cause of various cardiovascular diseases such as stroke. Arteriosclerosis is often evaluated by clinically measuring the pulse wave velocity (PWV) using a two-point approach that requires bulky medical equipment and a skilled operator. Although wearable photoplethysmographic sensors for PWV monitoring are developed in recent years, likewise, this technique is often based on two-point measurement, and the signal can easily be interfered with by natural light. Herein, a single-point strategy is reported based on stable fingertip pulse monitoring using a flexible iontronic pressure sensor for heart-fingertip PWV (hfPWV) measurement. The iontronic sensor exhibits a high pressure-resolution on the order of 0.1 Pa over a wide linearity range, allowing the capture of characteristic peaks of fingertip pulse waves. The forward and reflected waves of the pulse are extracted and the time difference between the two waves is computed for hfPWV measurement using Hiroshi's method. Furthermore, a hfPWV-based model is established for arteriosclerosis evaluation with an accuracy comparable to that of existing clinical criteria, and the validity of the model is verified clinically. The work provides a reliable technique that can be used in wearable arteriosclerosis assessment systems.
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Affiliation(s)
- Yi Huang
- Department of Cardiology, Southern University of Science and Technology Hospital (SUSTech-Hospital), Shenzhen, 518071, China
| | - Lingyu Zhao
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Minkun Cai
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Jiaqi Zhu
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Liu Wang
- CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, University of Science and Technology of China, Hefei, 230026, China
| | - Xinxing Chen
- Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems, Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yumin Zeng
- Department of Sports Center, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Liqing Zhang
- Department of Endocrinology, Southern University of Science and Technology Hospital (SUSTech-hospital), Shenzhen, 518071, China
| | - Jidong Shi
- Shenzhen Key Laboratory of Ultraintense Laser and Advanced Material Technology, Center for Advanced Material Diagnostic Technology, College of Engineering Physics, Shenzhen Technology University, Shenzhen, 518118, China
| | - Chuan Fei Guo
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
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8
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Qu X, Li J, Han Z, Liang Q, Zhou Z, Xie R, Wang H, Chen S. Highly Sensitive Fiber Pressure Sensors over a Wide Pressure Range Enabled by Resistive-Capacitive Hybrid Response. ACS NANO 2023. [PMID: 37498777 DOI: 10.1021/acsnano.3c03484] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Soft capacitive pressure sensors with high performance are becoming increasingly in demand in the emerging flexible wearable field. While capacitive fiber pressure sensors have achieved high sensitivity, their sensitivity range is limited to low-pressure levels. As fiber sensors typically require preloading and fixation, this narrow range of high sensitivity poses a challenge for practical applications. To overcome this limitation, the study proposes resistive-capacitive hybrid response fiber pressure sensors (HFPSs) with three-layer core-sheath structures. The trigger and sensitivity enhancement mechanisms of the hybrid response are determined through model analysis and experimental verification. By adjustment of the sensitivity enhancement range of the hybrid response, the sensitivity attenuation of HFPSs is alleviated significantly. The obtained results demonstrate that HFPSs have excellent characteristics such as fast response, low hysteresis, wide response frequency, small signal drift, and good durability. The hybrid response enhances the practical sensitivity of HFPSs for various applications. With enhanced sensitivity, HFPSs can effectively monitor pulse signals at preloads ranging from 0 to 22.7 kPa. This wide range of preloads improves the fault tolerance of pulse monitoring and expands the potential application scenarios of fiber pressure sensors.
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Affiliation(s)
- Xiangyang Qu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, PR China
| | - Jing Li
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, PR China
| | - Zhiliang Han
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, PR China
| | - Qianqian Liang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, PR China
| | - Zhou Zhou
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, PR China
| | - Ruimin Xie
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, PR China
| | - Huaping Wang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, PR China
| | - Shiyan Chen
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, PR China
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9
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Liang C, Sun J, Liu Z, Tian G, Liu Y, Zhao Q, Yang D, Chen J, Zhong B, Zhu M, Xu H, Qi D. Wide Range Strain Distributions on the Electrode for Highly Sensitive Flexible Tactile Sensor with Low Hysteresis. ACS APPLIED MATERIALS & INTERFACES 2023; 15:15096-15107. [PMID: 36942778 DOI: 10.1021/acsami.2c21241] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Flexible piezoresistive tactile sensors are widely used in wearable electronic devices because of their ability to detect mechanical stimuli. However, achieving high sensitivity and low hysteresis over a broad detection range remains a challenge with current piezoresistive tactile sensors. To address these obstacles, we designed elastomeric micropyramid arrays with different heights to redistribute the strain on the electrode. Furthermore, we mixed single-walled carbon nanotubes in the elastomeric micropyramids to compensate for the conductivity loss caused by random cracks in the gold film and increase the adhesion strength between the gold film (deposited on the pyramid surface) and the elastomer. Thus, the energy loss of the sensor during deformation and hysteresis (∼2.52%) was effectively reduced. Therefore, under the synactic effects of the percolation effect, tunnel effect, and multistage strain distribution, the as-prepared sensor exhibited a high sensitivity (1.28 × 106 kPa-1) and a broad detection range (4.51-54837.06 Pa). The sensitivity was considerably higher than those of most flexible pressure sensors with a microstructure design. As a proof of concept, the sensors were successfully applied in the fields of health monitoring and human-machine interaction.
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Affiliation(s)
- Cuiyuan Liang
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients and MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, People's Republic China
| | - Jingqi Sun
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients and MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, People's Republic China
| | - Zhihua Liu
- Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), 138634 Singapore
| | - Gongwei Tian
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients and MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, People's Republic China
| | - Yan Liu
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients and MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, People's Republic China
| | - Qinyi Zhao
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients and MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, People's Republic China
| | - Dan Yang
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients and MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, People's Republic China
| | - Jianhui Chen
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients and MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, People's Republic China
| | - Bowen Zhong
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients and MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, People's Republic China
| | - Ming Zhu
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients and MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, People's Republic China
| | - Hongbo Xu
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients and MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, People's Republic China
| | - Dianpeng Qi
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients and MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, People's Republic China
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Luo Y, Abidian MR, Ahn JH, Akinwande D, Andrews AM, Antonietti M, Bao Z, Berggren M, Berkey CA, Bettinger CJ, Chen J, Chen P, Cheng W, Cheng X, Choi SJ, Chortos A, Dagdeviren C, Dauskardt RH, Di CA, Dickey MD, Duan X, Facchetti A, Fan Z, Fang Y, Feng J, Feng X, Gao H, Gao W, Gong X, Guo CF, Guo X, Hartel MC, He Z, Ho JS, Hu Y, Huang Q, Huang Y, Huo F, Hussain MM, Javey A, Jeong U, Jiang C, Jiang X, Kang J, Karnaushenko D, Khademhosseini A, Kim DH, Kim ID, Kireev D, Kong L, Lee C, Lee NE, Lee PS, Lee TW, Li F, Li J, Liang C, Lim CT, Lin Y, Lipomi DJ, Liu J, Liu K, Liu N, Liu R, Liu Y, Liu Y, Liu Z, Liu Z, Loh XJ, Lu N, Lv Z, Magdassi S, Malliaras GG, Matsuhisa N, Nathan A, Niu S, Pan J, Pang C, Pei Q, Peng H, Qi D, Ren H, Rogers JA, Rowe A, Schmidt OG, Sekitani T, Seo DG, Shen G, Sheng X, Shi Q, Someya T, Song Y, Stavrinidou E, Su M, Sun X, Takei K, Tao XM, Tee BCK, Thean AVY, Trung TQ, et alLuo Y, Abidian MR, Ahn JH, Akinwande D, Andrews AM, Antonietti M, Bao Z, Berggren M, Berkey CA, Bettinger CJ, Chen J, Chen P, Cheng W, Cheng X, Choi SJ, Chortos A, Dagdeviren C, Dauskardt RH, Di CA, Dickey MD, Duan X, Facchetti A, Fan Z, Fang Y, Feng J, Feng X, Gao H, Gao W, Gong X, Guo CF, Guo X, Hartel MC, He Z, Ho JS, Hu Y, Huang Q, Huang Y, Huo F, Hussain MM, Javey A, Jeong U, Jiang C, Jiang X, Kang J, Karnaushenko D, Khademhosseini A, Kim DH, Kim ID, Kireev D, Kong L, Lee C, Lee NE, Lee PS, Lee TW, Li F, Li J, Liang C, Lim CT, Lin Y, Lipomi DJ, Liu J, Liu K, Liu N, Liu R, Liu Y, Liu Y, Liu Z, Liu Z, Loh XJ, Lu N, Lv Z, Magdassi S, Malliaras GG, Matsuhisa N, Nathan A, Niu S, Pan J, Pang C, Pei Q, Peng H, Qi D, Ren H, Rogers JA, Rowe A, Schmidt OG, Sekitani T, Seo DG, Shen G, Sheng X, Shi Q, Someya T, Song Y, Stavrinidou E, Su M, Sun X, Takei K, Tao XM, Tee BCK, Thean AVY, Trung TQ, Wan C, Wang H, Wang J, Wang M, Wang S, Wang T, Wang ZL, Weiss PS, Wen H, Xu S, Xu T, Yan H, Yan X, Yang H, Yang L, Yang S, Yin L, Yu C, Yu G, Yu J, Yu SH, Yu X, Zamburg E, Zhang H, Zhang X, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhao S, Zhao X, Zheng Y, Zheng YQ, Zheng Z, Zhou T, Zhu B, Zhu M, Zhu R, Zhu Y, Zhu Y, Zou G, Chen X. Technology Roadmap for Flexible Sensors. ACS NANO 2023; 17:5211-5295. [PMID: 36892156 PMCID: PMC11223676 DOI: 10.1021/acsnano.2c12606] [Show More Authors] [Citation(s) in RCA: 312] [Impact Index Per Article: 156.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative efforts, scientific breakthroughs can be made sooner and capitalized for the betterment of humanity.
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Affiliation(s)
- Yifei Luo
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Innovative Centre for Flexible Devices (iFLEX), School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Mohammad Reza Abidian
- Department of Biomedical Engineering, University of Houston, Houston, Texas 77024, United States
| | - Jong-Hyun Ahn
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Deji Akinwande
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States
| | - Anne M Andrews
- Department of Chemistry and Biochemistry, California NanoSystems Institute, and Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, and Hatos Center for Neuropharmacology, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Markus Antonietti
- Colloid Chemistry Department, Max Planck Institute of Colloids and Interfaces, 14476 Potsdam, Germany
| | - Zhenan Bao
- Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States
| | - Magnus Berggren
- Laboratory of Organic Electronics, Department of Science and Technology, Campus Norrköping, Linköping University, 83 Linköping, Sweden
- Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC), SE-100 44 Stockholm, Sweden
| | - Christopher A Berkey
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94301, United States
| | - Christopher John Bettinger
- Department of Biomedical Engineering and Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Peng Chen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
| | - Wenlong Cheng
- Nanobionics Group, Department of Chemical and Biological Engineering, Monash University, Clayton, Australia, 3800
- Monash Institute of Medical Engineering, Monash University, Clayton, Australia3800
| | - Xu Cheng
- Applied Mechanics Laboratory, Department of Engineering Mechanics, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, PR China
| | - Seon-Jin Choi
- Division of Materials of Science and Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea
| | - Alex Chortos
- School of Mechanical Engineering, Purdue University, West Lafayette, Indiana 47906, United States
| | - Canan Dagdeviren
- Media Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Reinhold H Dauskardt
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94301, United States
| | - Chong-An Di
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Organic Solids, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Michael D Dickey
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Xiangfeng Duan
- Department of Chemistry and Biochemistry, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Antonio Facchetti
- Department of Chemistry and the Materials Research Center, Northwestern University, Evanston, Illinois 60208, United States
| | - Zhiyong Fan
- Department of Electronic and Computer Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
| | - Yin Fang
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
| | - Jianyou Feng
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, PR China
| | - Xue Feng
- Laboratory of Flexible Electronics Technology, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
| | - Huajian Gao
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, California, 91125, United States
| | - Xiwen Gong
- Department of Chemical Engineering, Department of Materials Science and Engineering, Department of Electrical Engineering and Computer Science, Applied Physics Program, and Macromolecular Science and Engineering Program, University of Michigan, Ann Arbor, Michigan, 48109 United States
| | - Chuan Fei Guo
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xiaojun Guo
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Martin C Hartel
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Zihan He
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Organic Solids, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - John S Ho
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- The N.1 Institute for Health, National University of Singapore, Singapore 117456, Singapore
| | - Youfan Hu
- School of Electronics and Center for Carbon-Based Electronics, Peking University, Beijing 100871, China
| | - Qiyao Huang
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - Yu Huang
- Department of Materials Science and Engineering, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Fengwei Huo
- Key Laboratory of Flexible Electronics (KLOFE) and Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, PR China
| | - Muhammad M Hussain
- mmh Labs, Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana 47906, United States
| | - Ali Javey
- Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, United States
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | - Unyong Jeong
- Department of Materials Science and Engineering, Pohang University of Science and Engineering (POSTECH), Pohang, Gyeong-buk 37673, Korea
| | - Chen Jiang
- Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
| | - Xingyu Jiang
- Department of Biomedical Engineering, Southern University of Science and Technology, No 1088, Xueyuan Road, Xili, Nanshan District, Shenzhen, Guangdong 518055, PR China
| | - Jiheong Kang
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Daniil Karnaushenko
- Research Center for Materials, Architectures and Integration of Nanomembranes (MAIN), Chemnitz University of Technology, Chemnitz 09126, Germany
| | | | - Dae-Hyeong Kim
- Center for Nanoparticle Research, Institute for Basic Science (IBS), School of Chemical and Biological Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Il-Doo Kim
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
| | - Dmitry Kireev
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States
| | - Lingxuan Kong
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
| | - Chengkuo Lee
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
- NUS Graduate School-Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore 119077, Singapore
| | - Nae-Eung Lee
- School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, Kyunggi-do 16419, Republic of Korea
| | - Pooi See Lee
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Singapore-HUJ Alliance for Research and Enterprise (SHARE), Campus for Research Excellence and Technological Enterprise (CREATE), Singapore 138602, Singapore
| | - Tae-Woo Lee
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
- School of Chemical and Biological Engineering, Seoul National University, Seoul 08826, Republic of Korea
- Institute of Engineering Research, Research Institute of Advanced Materials, Seoul National University, Soft Foundry, Seoul 08826, Republic of Korea
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Fengyu Li
- College of Chemistry and Materials Science, Jinan University, Guangzhou, Guangdong 510632, China
| | - Jinxing Li
- Department of Biomedical Engineering, Department of Electrical and Computer Engineering, Neuroscience Program, BioMolecular Science Program, and Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan 48823, United States
| | - Cuiyuan Liang
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China
| | - Chwee Teck Lim
- Department of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore
- Mechanobiology Institute, National University of Singapore, Singapore 117411, Singapore
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 119276, Singapore
| | - Yuanjing Lin
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China
| | - Darren J Lipomi
- Department of Nano and Chemical Engineering, University of California, San Diego, La Jolla, California 92093-0448, United States
| | - Jia Liu
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, 02134, United States
| | - Kai Liu
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Nan Liu
- Beijing Key Laboratory of Energy Conversion and Storage Materials, College of Chemistry, Beijing Normal University, Beijing 100875, PR China
| | - Ren Liu
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, 02134, United States
| | - Yuxin Liu
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Department of Biomedical Engineering, N.1 Institute for Health, Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore 119077, Singapore
| | - Yuxuan Liu
- Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Zhiyuan Liu
- Neural Engineering Centre, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China 518055
| | - Zhuangjian Liu
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore
| | - Xian Jun Loh
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
| | - Nanshu Lu
- Department of Aerospace Engineering and Engineering Mechanics, Department of Electrical and Computer Engineering, Department of Mechanical Engineering, Department of Biomedical Engineering, Texas Materials Institute, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Zhisheng Lv
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
| | - Shlomo Magdassi
- Institute of Chemistry and the Center for Nanoscience and Nanotechnology, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel
| | - George G Malliaras
- Electrical Engineering Division, Department of Engineering, University of Cambridge CB3 0FA, Cambridge United Kingdom
| | - Naoji Matsuhisa
- Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
| | - Arokia Nathan
- Darwin College, University of Cambridge, Cambridge CB3 9EU, United Kingdom
| | - Simiao Niu
- Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey 08854, United States
| | - Jieming Pan
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Changhyun Pang
- School of Chemical Engineering and Samsung Advanced Institute for Health Science and Technology, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Qibing Pei
- Department of Materials Science and Engineering, Department of Mechanical and Aerospace Engineering, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Huisheng Peng
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, PR China
| | - Dianpeng Qi
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China
| | - Huaying Ren
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, California, 90095, United States
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60208, United States
- Department of Materials Science and Engineering, Department of Mechanical Engineering, Department of Biomedical Engineering, Departments of Electrical and Computer Engineering and Chemistry, and Department of Neurological Surgery, Northwestern University, Evanston, Illinois 60208, United States
| | - Aaron Rowe
- Becton, Dickinson and Company, 1268 N. Lakeview Avenue, Anaheim, California 92807, United States
- Ready, Set, Food! 15821 Ventura Blvd #450, Encino, California 91436, United States
| | - Oliver G Schmidt
- Research Center for Materials, Architectures and Integration of Nanomembranes (MAIN), Chemnitz University of Technology, Chemnitz 09126, Germany
- Material Systems for Nanoelectronics, Chemnitz University of Technology, Chemnitz 09107, Germany
- Nanophysics, Faculty of Physics, TU Dresden, Dresden 01062, Germany
| | - Tsuyoshi Sekitani
- The Institute of Scientific and Industrial Research (SANKEN), Osaka University, Osaka, Japan 5670047
| | - Dae-Gyo Seo
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Guozhen Shen
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
| | - Xing Sheng
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, and IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084, China
| | - Qiongfeng Shi
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
| | - Takao Someya
- Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
| | - Yanlin Song
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences, Beijing, Beijing 100190, China
| | - Eleni Stavrinidou
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-601 74 Norrkoping, Sweden
| | - Meng Su
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences, Beijing, Beijing 100190, China
| | - Xuemei Sun
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, PR China
| | - Kuniharu Takei
- Department of Physics and Electronics, Osaka Metropolitan University, Sakai, Osaka 599-8531, Japan
| | - Xiao-Ming Tao
- Research Institute for Intelligent Wearable Systems, School of Fashion and Textiles, Hong Kong Polytechnic University, Hong Kong, China
| | - Benjamin C K Tee
- Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore
- iHealthtech, National University of Singapore, Singapore 119276, Singapore
| | - Aaron Voon-Yew Thean
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Tran Quang Trung
- School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, Kyunggi-do 16419, Republic of Korea
| | - Changjin Wan
- School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China
| | - Huiliang Wang
- Department of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
| | - Joseph Wang
- Department of Nanoengineering, University of California, San Diego, California 92093, United States
| | - Ming Wang
- Frontier Institute of Chip and System, State Key Laboratory of Integrated Chip and Systems, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433, China
- the Shanghai Qi Zhi Institute, 41th Floor, AI Tower, No.701 Yunjin Road, Xuhui District, Shanghai 200232, China
| | - Sihong Wang
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois, 60637, United States
| | - Ting Wang
- State Key Laboratory of Organic Electronics and Information Displays and Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Zhong Lin Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China
- Georgia Institute of Technology, Atlanta, Georgia 30332-0245, United States
| | - Paul S Weiss
- California NanoSystems Institute, Department of Chemistry and Biochemistry, Department of Bioengineering, and Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Hanqi Wen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
- Institute of Flexible Electronics Technology of THU, Jiaxing, Zhejiang, China 314000
| | - Sheng Xu
- Department of Nanoengineering, Department of Electrical and Computer Engineering, Materials Science and Engineering Program, and Department of Bioengineering, University of California San Diego, La Jolla, California, 92093, United States
| | - Tailin Xu
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, 518060, PR China
| | - Hongping Yan
- Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States
| | - Xuzhou Yan
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Hui Yang
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science, Tianjin University, Tianjin, China, 300072
| | - Le Yang
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Department of Materials Science and Engineering, National University of Singapore (NUS), 9 Engineering Drive 1, #03-09 EA, Singapore 117575, Singapore
| | - Shuaijian Yang
- School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Leeds, LS2 9JT, United Kingdom
| | - Lan Yin
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, and Center for Flexible Electronics Technology, Tsinghua University, Beijing, 100084, China
| | - Cunjiang Yu
- Department of Engineering Science and Mechanics, Department of Biomedical Engineering, Department of Material Science and Engineering, Materials Research Institute, Pennsylvania State University, University Park, Pennsylvania, 16802, United States
| | - Guihua Yu
- Materials Science and Engineering Program and Walker Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, 78712, United States
| | - Jing Yu
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Shu-Hong Yu
- Department of Chemistry, Institute of Biomimetic Materials and Chemistry, Hefei National Research Center for Physical Science at the Microscale, University of Science and Technology of China, Hefei 230026, China
| | - Xinge Yu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China
| | - Evgeny Zamburg
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Haixia Zhang
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication; Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing 100871, China
| | - Xiangyu Zhang
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Xiaosheng Zhang
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Xueji Zhang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong 518060, PR China
| | - Yihui Zhang
- Applied Mechanics Laboratory, Department of Engineering Mechanics; Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, PR China
| | - Yu Zhang
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Siyuan Zhao
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, 02134, United States
| | - Xuanhe Zhao
- Department of Mechanical Engineering, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, United States
| | - Yuanjin Zheng
- Center for Integrated Circuits and Systems, School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore
| | - Yu-Qing Zheng
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication; School of Integrated Circuits, Peking University, Beijing 100871, China
| | - Zijian Zheng
- Department of Applied Biology and Chemical Technology, Faculty of Science, Research Institute for Intelligent Wearable Systems, Research Institute for Smart Energy, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - Tao Zhou
- Center for Neural Engineering, Department of Engineering Science and Mechanics, The Huck Institutes of the Life Sciences, Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Bowen Zhu
- Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou 310024, China
| | - Ming Zhu
- Institute for Digital Molecular Analytics and Science (IDMxS), Nanyang Technological University, 59 Nanyang Drive, Singapore 636921, Singapore
| | - Rong Zhu
- Department of Precision Instrument, Tsinghua University, Beijing 100084, China
| | - Yangzhi Zhu
- Terasaki Institute for Biomedical Innovation, Los Angeles, California, 90064, United States
| | - Yong Zhu
- Department of Mechanical and Aerospace Engineering, Department of Materials Science and Engineering, and Department of Biomedical Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Guijin Zou
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore
| | - Xiaodong Chen
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Innovative Center for Flexible Devices (iFLEX), Max Planck-NTU Joint Laboratory for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
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Research of pulse position based on gradient pressure method. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2022.104372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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12
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Li Y, Wei Y, Yang Y, Zheng L, Luo L, Gao J, Jiang H, Song J, Xu M, Wang X, Huang W. The Soft-Strain Effect Enabled High-Performance Flexible Pressure Sensor and Its Application in Monitoring Pulse Waves. RESEARCH (WASHINGTON, D.C.) 2022; 2022:0002. [PMID: 39290969 PMCID: PMC11407520 DOI: 10.34133/research.0002] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 10/17/2022] [Indexed: 09/19/2024]
Abstract
Flexible and wearable pressure sensors attached to human skin are effective and convenient in accurate and real-time tracking of various physiological signals for disease diagnosis and health assessment. Conventional flexible pressure sensors are constructed using compressible dielectric or conductive layers, which are electrically sensitive to external mechanical stimulation. However, saturated deformation under large compression significantly restrains the detection range and sensitivity of such sensors. Here, we report a novel type of flexible pressure sensor to overcome the compression saturation of the sensing layer by soft-strain effect, enabling an ultra-high sensitivity of ~636 kPa-1 and a wide detection range from 0.1 kPa to 56 kPa. In addition, the cyclic loading-unloading test reveals the excellent stability of the sensor, which maintains its signal detection after 10,000 cycles of 10 kPa compression. The sensor is capable of monitoring arterial pulse waves from both deep tissue and distal parts, such as digital arteries and dorsal pedal arteries, which can be used for blood pressure estimation by pulse transit time at the same artery branch.
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Affiliation(s)
- Yue Li
- Frontiers Science Center for Flexible Electronics (FSCFE) and 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, China
| | - Yuan Wei
- Frontiers Science Center for Flexible Electronics (FSCFE) and 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, China
- Shaanxi Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, China
| | - Yabao Yang
- Frontiers Science Center for Flexible Electronics (FSCFE) and 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, China
| | - Lu Zheng
- Frontiers Science Center for Flexible Electronics (FSCFE) and 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, China
- Shaanxi Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, China
| | - Lei Luo
- Frontiers Science Center for Flexible Electronics (FSCFE) and 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, China
| | - Jiuwei Gao
- Frontiers Science Center for Flexible Electronics (FSCFE) and 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, China
| | - Hanjun Jiang
- Frontiers Science Center for Flexible Electronics (FSCFE) and 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, China
| | - Juncai Song
- Frontiers Science Center for Flexible Electronics (FSCFE) and 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, China
| | - Manzhang Xu
- Frontiers Science Center for Flexible Electronics (FSCFE) and 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, China
- Shaanxi Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, China
| | - Xuewen Wang
- Frontiers Science Center for Flexible Electronics (FSCFE) and 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, China
- Shaanxi Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, China
- Key Laboratory of Flexible Electronics of Zhejiang Province, Ningbo Institute of Northwestern Polytechnical University, 218 Qingyi Road, Ningbo, 315103, China
| | - Wei Huang
- Frontiers Science Center for Flexible Electronics (FSCFE) and 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, China
- Shaanxi Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, China
- State Key Laboratory of Organic Electronics and Information Displays, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
- Key Laboratory of Flexible Electronics (KLoFE) and Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), Nanjing, 211800, China
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13
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Tang X, Zhu Y, Guan W, Zhou W, Wei P. Advances in nanosensors for cardiovascular disease detection. Life Sci 2022; 305:120733. [DOI: 10.1016/j.lfs.2022.120733] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 06/10/2022] [Accepted: 06/21/2022] [Indexed: 12/25/2022]
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14
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Ye Y, Ge Y, Zhang Q, Yuan M, Cai Y, Li K, Li Y, Xie R, Xu C, Jiang D, Qu J, Liu X, Wang Y. Smart Contact Lens with Dual-Sensing Platform for Monitoring Intraocular Pressure and Matrix Metalloproteinase-9. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2104738. [PMID: 35195359 PMCID: PMC9036001 DOI: 10.1002/advs.202104738] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 01/06/2022] [Indexed: 05/09/2023]
Abstract
Contact lenses have become a popular health-monitoring wearable device due to their direct contact with the eyes. By integrating biosensors into contact lenses, real-time and noninvasive diagnoses of various diseases can be realized. However, current contact lens sensors often require complex electronics, which may obstruct the user's vision or even damage the cornea. Moreover, most of the reported contact lens sensors can only detect one analyte. Therefore, an optical-based dual-functional smart contact lens sensor has been introduced to monitor intraocular pressure (IOP) and detect matrix metalloproteinase-9 (MMP-9), both of which are key biomarkers in many eye-related diseases such as glaucoma. Specifically, the elevated IOP is continuously monitored by applying an antiopal structure through color changes, without any complex electronics. Together with the peptide modified gold nanobowls (AuNBs) surface-enhanced Raman scattering (SERS) substrate, the quantitative analysis of MMP-9 at a low nanomolar range is achieved in real tear samples. The dual-sensing functions are thus demonstrated, providing a convenient, noninvasive, and potentially multifunctional sensing platform for monitoring health and diagnostic biomarkers in human tears.
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Affiliation(s)
- Ying Ye
- School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical EngineeringWenzhou Medical UniversityWenzhou325027P. R. China
- Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhou325001P. R. China
| | - Yuancai Ge
- School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical EngineeringWenzhou Medical UniversityWenzhou325027P. R. China
- Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhou325001P. R. China
| | - Qingwen Zhang
- School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical EngineeringWenzhou Medical UniversityWenzhou325027P. R. China
- Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhou325001P. R. China
| | - Meiling Yuan
- School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical EngineeringWenzhou Medical UniversityWenzhou325027P. R. China
- Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhou325001P. R. China
| | - Yu Cai
- School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical EngineeringWenzhou Medical UniversityWenzhou325027P. R. China
- Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhou325001P. R. China
| | - Kang Li
- School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical EngineeringWenzhou Medical UniversityWenzhou325027P. R. China
- Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhou325001P. R. China
| | - Yang Li
- School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical EngineeringWenzhou Medical UniversityWenzhou325027P. R. China
- Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhou325001P. R. China
| | - Ruifeng Xie
- School of Opto‐Electronic EngineeringChangchun University of Science and TechnologyChangchun130022P. R. China
| | - Changshun Xu
- School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical EngineeringWenzhou Medical UniversityWenzhou325027P. R. China
- Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhou325001P. R. China
| | - Danfeng Jiang
- School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical EngineeringWenzhou Medical UniversityWenzhou325027P. R. China
- Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhou325001P. R. China
| | - Jia Qu
- School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical EngineeringWenzhou Medical UniversityWenzhou325027P. R. China
| | - Xiaohu Liu
- School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical EngineeringWenzhou Medical UniversityWenzhou325027P. R. China
- Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhou325001P. R. China
| | - Yi Wang
- School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical EngineeringWenzhou Medical UniversityWenzhou325027P. R. China
- Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhou325001P. R. China
- School of Opto‐Electronic EngineeringChangchun University of Science and TechnologyChangchun130022P. R. China
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15
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Tasneem NT, Biswas DK, Adhikari PR, Gunti A, Patwary AB, Reid RC, Mahbub I. A self-powered wireless motion sensor based on a high-surface area reverse electrowetting-on-dielectric energy harvester. Sci Rep 2022; 12:3782. [PMID: 35260661 PMCID: PMC8904818 DOI: 10.1038/s41598-022-07631-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 02/21/2022] [Indexed: 11/24/2022] Open
Abstract
This paper presents a motion-sensing device with the capability of harvesting energy from low-frequency motion activities. Based on the high surface area reverse electrowetting-on-dielectric (REWOD) energy harvesting technique, mechanical modulation of the liquid generates an AC signal, which is modeled analytically and implemented in Matlab and COMSOL. A constant DC voltage is produced by using a rectifier and a DC-DC converter to power up the motion-sensing read-out circuit. A charge amplifier converts the generated charge into a proportional output voltage, which is transmitted wirelessly to a remote receiver. The harvested DC voltage after the rectifier and DC-DC converter is found to be 3.3 V, having a measured power conversion efficiency (PCE) of the rectifier as high as 40.26% at 5 Hz frequency. The energy harvester demonstrates a linear relationship between the frequency of motion and the generated output power, making it highly suitable as a self-powered wearable motion sensor.
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Affiliation(s)
- Nishat T Tasneem
- Department of Electrical Engineering, University of North Texas, Denton, TX, 76201, USA.
| | - Dipon K Biswas
- Department of Electrical Engineering, University of North Texas, Denton, TX, 76201, USA
| | - Pashupati R Adhikari
- Department of Mechanical Engineering, University of North Texas, Denton, TX, 76201, USA
| | - Avinash Gunti
- Department of Electrical Engineering, University of North Texas, Denton, TX, 76201, USA
| | - Adnan B Patwary
- Department of Electrical Engineering, University of North Texas, Denton, TX, 76201, USA
| | - Russell C Reid
- Department of Engineering, Dixie State University, St. George, UT, 84770, USA
| | - Ifana Mahbub
- Department of Electrical Engineering, University of North Texas, Denton, TX, 76201, USA
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16
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Wang X, Yang J, Feng Z, Zhang G, Qiu J, Wu Y, Yang J. Graded Microstructured Flexible Pressure Sensors with High Sensitivity and an Ultrabroad Pressure Range for Epidermal Pulse Monitoring. ACS APPLIED MATERIALS & INTERFACES 2021; 13:55747-55755. [PMID: 34780689 DOI: 10.1021/acsami.1c17318] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Precisely detecting epidermal pulse waves with pressure sensors is crucial for pulse-based personalized health-monitoring technologies. However, developing a pressure sensor that simultaneously demonstrates high sensitivity and an ultrabroad pressure range and a convenient fabrication process for large-scale production is a considerable challenge. Herein, by utilizing a commercial conductive fabric (CF) and a silica gel film, we develop a high-performance pressure sensor (HPPS) for the monitoring of human physiological signals. Based on convenient turnover formwork technology, the silica gel film was fabricated by replicating the microstructure of the sandpaper surface. This microstructure and the plain weave structure on the CF surface together provide a sharp increase in the contact-separation area and structural compressibility, which are beneficial for the enhancement of output performance. Made of these two materials, the graded microstructured HPPS holds high sensitivity (4.5 mV/Pa), an ultrabroad pressure range (0-30 kPa), a wide working frequency bandwidth (up to 35 Hz), decent stability (>50,000 cycles), and a simple fabrication process that is suitable for large-scale production. Given these noticeable features, the developed HPPS not only succeeds in precisely detecting subtle pulse waves on various positions of different people but can also objectively capture changes in cardiovascular parameters caused by exercise training at different intensities in real time. These findings exhibit the enormous potential application of HPPS in tracking an individual's health status and comprehensively evaluating exercise intensity.
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Affiliation(s)
- Xue Wang
- Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems Ministry of Education, Chongqing University, Chongqing 400044, P. R. China
- Chongqing Key Laboratory of Laser Control & Precision Measurement, Chongqing University, Chongqing 400044, P. R. China
| | - Jun Yang
- Chongqing Institute of Green and Intelligent Technology Chinese Academy of Sciences, Chongqing 400714, China
| | - Zhiping Feng
- Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems Ministry of Education, Chongqing University, Chongqing 400044, P. R. China
- Chongqing Key Laboratory of Laser Control & Precision Measurement, Chongqing University, Chongqing 400044, P. R. China
| | - Gaoqiang Zhang
- Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems Ministry of Education, Chongqing University, Chongqing 400044, P. R. China
- Chongqing Key Laboratory of Laser Control & Precision Measurement, Chongqing University, Chongqing 400044, P. R. China
| | - Jing Qiu
- Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems Ministry of Education, Chongqing University, Chongqing 400044, P. R. China
| | - Yufen Wu
- College of Physics and Electronic Engineering, Chongqing Normal University, Chongqing 401331, China
| | - Jin Yang
- Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems Ministry of Education, Chongqing University, Chongqing 400044, P. R. China
- Chongqing Key Laboratory of Laser Control & Precision Measurement, Chongqing University, Chongqing 400044, P. R. China
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17
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Kim W, Lee JS. Freestanding and Flexible β-MnO 2@Carbon Sheet for Application as a Highly Sensitive Dimethyl Methylphosphonate Sensor. ACS OMEGA 2021; 6:4988-4994. [PMID: 33644606 PMCID: PMC7905932 DOI: 10.1021/acsomega.0c06035] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 01/29/2021] [Indexed: 05/04/2023]
Abstract
Research on wearable sensor systems is mostly conducted on freestanding polymer substrates such as poly(dimethylsiloxane) and poly(ethylene terephthalate). However, the use of these polymers as substrates requires the introduction of transducer materials on their surface, which causes many problems related to the contact with the transducer components. In this study, we propose a freestanding flexible sensor electrode based on a β-MnO2-decorated carbon nanofiber sheet (β-MnO2@CNF) to detect dimethyl methylphosphonate (DMMP) as a nerve agent simulant. To introduce MnO2 on the surface of the substrate, polypyrrole coated on poly(acrylonitrile) (PPy@PAN) was reacted with a MnO2 precursor. Then, phase transfer of PPy@PAN and MnO2 to carbon and β-MnO2, respectively, was induced by heat treatment. The β-MnO2@CNF sheet electrode showed excellent sensitivity toward the target analyte DMMP (down to 0.1 ppb), as well as high selectivity, reversibility, and stability.
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Affiliation(s)
- Wooyoung Kim
- Samsung
Electronics, 1, Samsungjeonja-ro, Suwon-si, Gyeonggi-do 16677, Republic of Korea
| | - Jun Seop Lee
- Department
of Materials Science and Engineering, Gachon
University, 1342 Seongnam-Daero, Sujeong-Gu, Seongnam-si, Gyeonggi-do 13120, Republic of Korea
- . Tel: +82-31-750-5814. Fax: +82-31-750-5389
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18
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Jiao Q, Cao L, Zhao Z, Zhang H, Li J, Wei Y. Zwitterionic Hydrogel with High Transparency, Ultrastretchability, and Remarkable Freezing Resistance for Wearable Strain Sensors. Biomacromolecules 2021; 22:1220-1230. [PMID: 33586969 DOI: 10.1021/acs.biomac.0c01724] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Multifunctional hydrogel with outstanding conductivity and mechanical flexibility has received enormous attention as wearable electronic devices. However, fabricating transparent, ultrastretchable, and biocompatible hydrogel with low-temperature stability still remains a tremendous challenge. In this study, an ultrastretchable, highly transparent, and antifreezing zwitterionic-based electronic sensor is developed by introducing zwitterionic proline (ZP) into gellan gum/polyacrylamide (GG/PAAm) double network (DN) hydrogel. The existence of ZP endows the hydrogel with remarkable frost resistance. The toughness and transparency of zwitterionic Ca-GG/PAAm-ZP DN hydrogel can be maintained down to -40 °C. Also, the zwitterionic hydrogel shows good biocompatibility and protein adsorption resistance. The zwitterionic Ca-GG/PAAm-ZP DN hydrogel-based strain sensor can accurately monitor human motions (such as speaking and various joint bendings) under a broad temperature range from -40 to 25 °C. The zwitterionic Ca-GG/PAAm-ZP DN hydrogel-based strain sensor will be of immense value in the field of wearable electronic devices, especially for extreme environment applications.
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Affiliation(s)
- Qin Jiao
- Department of Chemistry, School of Science, Tianjin University, Tianjin 300350, P. R. China
| | - Lilong Cao
- Department of Chemistry, School of Science, Tianjin University, Tianjin 300350, P. R. China
| | - Zhijie Zhao
- Department of Chemistry, School of Science, Tianjin University, Tianjin 300350, P. R. China
| | - Hong Zhang
- Department of Applied Chemistry, School of Engineering, Tokai University, 4-1-1 Kitakaname, Hiratsuka, Kanagawa 259-1292, Japan
| | - Junjie Li
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, P. R. China.,Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin 300350, P. R. China
| | - Yuping Wei
- Department of Chemistry, School of Science, Tianjin University, Tianjin 300350, P. R. China.,Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin 300350, P. R. China
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19
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Khoshmanesh F, Thurgood P, Pirogova E, Nahavandi S, Baratchi S. Wearable sensors: At the frontier of personalised health monitoring, smart prosthetics and assistive technologies. Biosens Bioelectron 2020; 176:112946. [PMID: 33412429 DOI: 10.1016/j.bios.2020.112946] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 12/24/2020] [Accepted: 12/28/2020] [Indexed: 02/07/2023]
Abstract
Wearable sensors have evolved from body-worn fitness tracking devices to multifunctional, highly integrated, compact, and versatile sensors, which can be mounted onto the desired locations of our clothes or body to continuously monitor our body signals, and better interact and communicate with our surrounding environment or equipment. Here, we discuss the latest advances in textile-based and skin-like wearable sensors with a focus on three areas, including (i) personalised health monitoring to facilitate recording physiological signals, body motions, and analysis of body fluids, (ii) smart gloves and prosthetics to realise the sensation of touch and pain, and (iii) assistive technologies to enable disabled people to operate the surrounding motorised equipment using their active organs. We also discuss areas for future research in this emerging field.
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Affiliation(s)
- Farnaz Khoshmanesh
- School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, VIC, 3083, Australia
| | - Peter Thurgood
- School of Engineering, RMIT University, Melbourne, VIC, 3000, Australia
| | - Elena Pirogova
- School of Engineering, RMIT University, Melbourne, VIC, 3000, Australia
| | - Saeid Nahavandi
- Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, VIC, 3217, Australia
| | - Sara Baratchi
- School of Health and Biomedical Sciences, RMIT University, Bundoora, VIC, 3083, Australia.
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20
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Xu H, Gao L, Wang Y, Cao K, Hu X, Wang L, Mu M, Liu M, Zhang H, Wang W, Lu Y. Flexible Waterproof Piezoresistive Pressure Sensors with Wide Linear Working Range Based on Conductive Fabrics. NANO-MICRO LETTERS 2020; 12:159. [PMID: 34138142 DOI: 10.3847/1538-4357/abc69f] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 07/13/2020] [Indexed: 05/27/2023]
Abstract
HIGHLIGHTS The laser-engraved method was introduced to fabricate the electrode for the sensor. The sensor showed a wide linear working range, superior sensitivity, and fast response time and also exhibited excellent viability in a wet situation. Wireless integrated network sensors successfully monitored the health states. ABSTRACT Developing flexible sensors with high working performance holds intense interest for diverse applications in leveraging the Internet-of-things (IoT) infrastructures. For flexible piezoresistive sensors, traditionally most efforts are focused on tailoring the sensing materials to enhance the contact resistance variation for improving the sensitivity and working range, and it, however, remains challenging to simultaneously achieve flexible sensor with a linear working range over a high-pressure region (> 100 kPa) and keep a reliable sensitivity. Herein, we devised a laser-engraved silver-coated fabric as “soft” sensor electrode material to markedly advance the flexible sensor’s linear working range to a level of 800 kPa with a high sensitivity of 6.4 kPa−1 yet a fast response time of only 4 ms as well as long-time durability, which was rarely reported before. The integrated sensor successfully routed the wireless signal of pulse rate to the portable smartphone, further demonstrating its potential as a reliable electronic. Along with the rationally building the electrode instead of merely focusing on sensing materials capable of significantly improving the sensor’s performance, we expect that this design concept and sensor system could potentially pave the way for developing more advanced wearable electronics in the future. [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL The online version of this article (10.1007/s40820-020-00498-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Hongcheng Xu
- School of Mechano-Electronic Engineering, Xidian University, Xi'an, 710071, People's Republic of China.
- CityU-Xidian Joint Laboratory of Micro/Nano-Manufacturing, Xi'an, 710071, People's Republic of China.
| | - Libo Gao
- School of Mechano-Electronic Engineering, Xidian University, Xi'an, 710071, People's Republic of China.
- CityU-Xidian Joint Laboratory of Micro/Nano-Manufacturing, Xi'an, 710071, People's Republic of China.
| | - Yuejiao Wang
- Department of Mechanical Engineering, City University of Hong Kong, Kowloon, 999077, Hong Kong SAR, People's Republic of China
- Nano-Manufacturing Laboratory (NML), Shenzhen Research Institute of City University of Hong Kong, Shenzhen, 518057, People's Republic of China
| | - Ke Cao
- School of Mechano-Electronic Engineering, Xidian University, Xi'an, 710071, People's Republic of China
- CityU-Xidian Joint Laboratory of Micro/Nano-Manufacturing, Xi'an, 710071, People's Republic of China
| | - Xinkang Hu
- School of Mechano-Electronic Engineering, Xidian University, Xi'an, 710071, People's Republic of China
- CityU-Xidian Joint Laboratory of Micro/Nano-Manufacturing, Xi'an, 710071, People's Republic of China
| | - Liang Wang
- Micro-/Nano-technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China
| | - Meng Mu
- School of Mechano-Electronic Engineering, Xidian University, Xi'an, 710071, People's Republic of China
- CityU-Xidian Joint Laboratory of Micro/Nano-Manufacturing, Xi'an, 710071, People's Republic of China
| | - Min Liu
- School of Mechano-Electronic Engineering, Xidian University, Xi'an, 710071, People's Republic of China
- CityU-Xidian Joint Laboratory of Micro/Nano-Manufacturing, Xi'an, 710071, People's Republic of China
| | - Haiyan Zhang
- School of Mechano-Electronic Engineering, Xidian University, Xi'an, 710071, People's Republic of China
- CityU-Xidian Joint Laboratory of Micro/Nano-Manufacturing, Xi'an, 710071, People's Republic of China
| | - Weidong Wang
- School of Mechano-Electronic Engineering, Xidian University, Xi'an, 710071, People's Republic of China.
- CityU-Xidian Joint Laboratory of Micro/Nano-Manufacturing, Xi'an, 710071, People's Republic of China.
| | - Yang Lu
- CityU-Xidian Joint Laboratory of Micro/Nano-Manufacturing, Xi'an, 710071, People's Republic of China.
- Department of Mechanical Engineering, City University of Hong Kong, Kowloon, 999077, Hong Kong SAR, People's Republic of China.
- Nano-Manufacturing Laboratory (NML), Shenzhen Research Institute of City University of Hong Kong, Shenzhen, 518057, People's Republic of China.
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21
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Xu H, Gao L, Wang Y, Cao K, Hu X, Wang L, Mu M, Liu M, Zhang H, Wang W, Lu Y. Flexible Waterproof Piezoresistive Pressure Sensors with Wide Linear Working Range Based on Conductive Fabrics. NANO-MICRO LETTERS 2020; 12:159. [PMID: 34138142 PMCID: PMC7770928 DOI: 10.1007/s40820-020-00498-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 07/13/2020] [Indexed: 05/07/2023]
Abstract
Highlights The laser-engraved method was introduced to fabricate the electrode for the sensor. The sensor showed a wide linear working range, superior sensitivity, and fast response time and also exhibited excellent viability in a wet situation. Wireless integrated network sensors successfully monitored the health states. Abstract Developing flexible sensors with high working performance holds intense interest for diverse applications in leveraging the Internet-of-things (IoT) infrastructures. For flexible piezoresistive sensors, traditionally most efforts are focused on tailoring the sensing materials to enhance the contact resistance variation for improving the sensitivity and working range, and it, however, remains challenging to simultaneously achieve flexible sensor with a linear working range over a high-pressure region (> 100 kPa) and keep a reliable sensitivity. Herein, we devised a laser-engraved silver-coated fabric as “soft” sensor electrode material to markedly advance the flexible sensor’s linear working range to a level of 800 kPa with a high sensitivity of 6.4 kPa−1 yet a fast response time of only 4 ms as well as long-time durability, which was rarely reported before. The integrated sensor successfully routed the wireless signal of pulse rate to the portable smartphone, further demonstrating its potential as a reliable electronic. Along with the rationally building the electrode instead of merely focusing on sensing materials capable of significantly improving the sensor’s performance, we expect that this design concept and sensor system could potentially pave the way for developing more advanced wearable electronics in the future. Electronic supplementary material The online version of this article (10.1007/s40820-020-00498-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Hongcheng Xu
- School of Mechano-Electronic Engineering, Xidian University, Xi'an, 710071, People's Republic of China.
- CityU-Xidian Joint Laboratory of Micro/Nano-Manufacturing, Xi'an, 710071, People's Republic of China.
| | - Libo Gao
- School of Mechano-Electronic Engineering, Xidian University, Xi'an, 710071, People's Republic of China.
- CityU-Xidian Joint Laboratory of Micro/Nano-Manufacturing, Xi'an, 710071, People's Republic of China.
| | - Yuejiao Wang
- Department of Mechanical Engineering, City University of Hong Kong, Kowloon, 999077, Hong Kong SAR, People's Republic of China
- Nano-Manufacturing Laboratory (NML), Shenzhen Research Institute of City University of Hong Kong, Shenzhen, 518057, People's Republic of China
| | - Ke Cao
- School of Mechano-Electronic Engineering, Xidian University, Xi'an, 710071, People's Republic of China
- CityU-Xidian Joint Laboratory of Micro/Nano-Manufacturing, Xi'an, 710071, People's Republic of China
| | - Xinkang Hu
- School of Mechano-Electronic Engineering, Xidian University, Xi'an, 710071, People's Republic of China
- CityU-Xidian Joint Laboratory of Micro/Nano-Manufacturing, Xi'an, 710071, People's Republic of China
| | - Liang Wang
- Micro-/Nano-technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China
| | - Meng Mu
- School of Mechano-Electronic Engineering, Xidian University, Xi'an, 710071, People's Republic of China
- CityU-Xidian Joint Laboratory of Micro/Nano-Manufacturing, Xi'an, 710071, People's Republic of China
| | - Min Liu
- School of Mechano-Electronic Engineering, Xidian University, Xi'an, 710071, People's Republic of China
- CityU-Xidian Joint Laboratory of Micro/Nano-Manufacturing, Xi'an, 710071, People's Republic of China
| | - Haiyan Zhang
- School of Mechano-Electronic Engineering, Xidian University, Xi'an, 710071, People's Republic of China
- CityU-Xidian Joint Laboratory of Micro/Nano-Manufacturing, Xi'an, 710071, People's Republic of China
| | - Weidong Wang
- School of Mechano-Electronic Engineering, Xidian University, Xi'an, 710071, People's Republic of China.
- CityU-Xidian Joint Laboratory of Micro/Nano-Manufacturing, Xi'an, 710071, People's Republic of China.
| | - Yang Lu
- CityU-Xidian Joint Laboratory of Micro/Nano-Manufacturing, Xi'an, 710071, People's Republic of China.
- Department of Mechanical Engineering, City University of Hong Kong, Kowloon, 999077, Hong Kong SAR, People's Republic of China.
- Nano-Manufacturing Laboratory (NML), Shenzhen Research Institute of City University of Hong Kong, Shenzhen, 518057, People's Republic of China.
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22
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Zheng Y, Yu Z, Mao G, Li Y, Pravarthana D, Asghar W, Liu Y, Qu S, Shang J, Li R. A Wearable Capacitive Sensor Based on Ring/Disk-Shaped Electrode and Porous Dielectric for Noncontact Healthcare Monitoring. GLOBAL CHALLENGES (HOBOKEN, NJ) 2020; 4:1900079. [PMID: 32328287 PMCID: PMC7175022 DOI: 10.1002/gch2.201900079] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 02/22/2020] [Accepted: 02/24/2020] [Indexed: 05/31/2023]
Abstract
Wearable sensors are gradually enabling decentralized healthcare systems. However, these sensors need to be closely attached to skin, which is unsuitable for long-term dynamic health monitoring of the patients, such as infants or persons with burn injuries. Here, a wearable capacitive sensor based on the capacitively coupled effect for healthcare monitoring in noncontact mode is reported. It consists of a ring-shaped top electrode, a disk-shaped bottom electrode, and a porous dielectric layer with low permittivity. This unique design enhanced the capacitively coupled effect of the sensor, which enables a high noncontact detectivity of capacitance change. When an object approaches the sensor, its capacitance change (ΔC/C i = -38.7%) is 3-5 times higher than that of previously reported sensors. Meanwhile, the sensor is insensitive to the stretching strain and pressure (ΔC/C i < 5%) due to the unique ring-shaped electrode and the incompressible closed cells of the porous dielectric material, respectively. Finally, various human physiological signals (pulse and respiratory) are recorded in noncontact mode, where a person wears loose and soft clothes implanted with the sensor. Thus, it is promising to build smart healthcare clothes based on it to develop wearable decentralized healthcare systems.
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Affiliation(s)
- Ya‐Nan Zheng
- CAS Key Laboratory of Magnetic Materials and DevicesNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201P. R. China
- College of Materials Science and Opto‐Electronic TechnologyUniversity of Chinese Academy of SciencesBeijing100049P. R. China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application TechnologyNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201P. R. China
| | - Zhe Yu
- CAS Key Laboratory of Magnetic Materials and DevicesNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201P. R. China
- College of Materials Science and Opto‐Electronic TechnologyUniversity of Chinese Academy of SciencesBeijing100049P. R. China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application TechnologyNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201P. R. China
| | - Guoyong Mao
- State Key Laboratory of Fluid Power and Mechatronic SystemKey Laboratory of Soft Machines and Smart Devices of Zhejiang ProvinceDepartment of Engineering MechanicsZhejiang UniversityHangzhou310027China
| | - Yunyao Li
- CAS Key Laboratory of Magnetic Materials and DevicesNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201P. R. China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application TechnologyNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201P. R. China
- College of Information EngineeringNanjing University of Finance and EconomicsNanjing210046China
| | - Dhanapal Pravarthana
- CAS Key Laboratory of Magnetic Materials and DevicesNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201P. R. China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application TechnologyNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201P. R. China
| | - Waqas Asghar
- CAS Key Laboratory of Magnetic Materials and DevicesNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201P. R. China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application TechnologyNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201P. R. China
| | - Yiwei Liu
- CAS Key Laboratory of Magnetic Materials and DevicesNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201P. R. China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application TechnologyNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201P. R. China
| | - Shaoxing Qu
- State Key Laboratory of Fluid Power and Mechatronic SystemKey Laboratory of Soft Machines and Smart Devices of Zhejiang ProvinceDepartment of Engineering MechanicsZhejiang UniversityHangzhou310027China
| | - Jie Shang
- CAS Key Laboratory of Magnetic Materials and DevicesNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201P. R. China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application TechnologyNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201P. R. China
| | - Run‐Wei Li
- CAS Key Laboratory of Magnetic Materials and DevicesNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201P. R. China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application TechnologyNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201P. R. China
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23
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Wang L, Zhu R, Li G. Temperature and Strain Compensation for Flexible Sensors Based on Thermosensation. ACS APPLIED MATERIALS & INTERFACES 2020; 12:1953-1961. [PMID: 31816229 DOI: 10.1021/acsami.9b21474] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Flexible sensors have wide applications in wearable electronics, health monitoring, humanoid robotics, and smart prosthesis. Problems of temperature drift and bending/stretching strain are challenging and should not be neglected in practical applications of flexible sensors. Here, we report a novel temperature and strain compensation method for thermosensation-based flexible sensors. Thermosensation is human-skin-inspired perception, which inspires diverse flexible sensors (pressure sensor, flow sensor, temperature sensor, material sensor, proximity sensor, etc.) and multisensory electronic skin. Thermosensation-based flexible sensors utilize thin-film sensing thermistors to detect external physical stimuli through perceptions of the conductive and convective heat transfers toward the surroundings, which enables high-density integration of multisensations while minimizing complexity due to the uniform sensing principle of thermistors that have simple structures and easy operations. To overcome the negative effects of temperature drift and bending/stretching strain in these flexible sensors, we propose to monolithically integrate a compensating thermistor that has a similar geometric shape and is of the same material with the sensing thermistor into a Wheatstone-bridge feedback circuit. When the sensing and compensating thermistors meet geometric similarity, the compensations of temperature and strain are self-sustained by a feedback control of a circuit. The effectiveness is validated through theoretical analysis and experiment measurements. As examples, flexible pressure sensor and flexible flow sensor with temperature and strain compensations are demonstrated. Results indicate that the temperature and strain effects can be tremendously eliminated using the proposed compensation method, which is fast, self-sustained, and expedient to realize. The compensation method enriches competences of flexible sensors and demonstrates competitive advantages for diverse flexible and stretching applications of wearable electronics.
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Affiliation(s)
- Liangqi Wang
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument , Tsinghua University , Beijing 100084 , China
| | - Rong Zhu
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument , Tsinghua University , Beijing 100084 , China
| | - Guozhen Li
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument , Tsinghua University , Beijing 100084 , China
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