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Neelakandan S, Srither SR, Dhineshbabu NR, Maloji S, Dahlsten O, Balaji R, Singh R. Recent Advances in Wearable Textile-Based Triboelectric Nanogenerators. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:1500. [PMID: 39330657 DOI: 10.3390/nano14181500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2024] [Revised: 09/10/2024] [Accepted: 09/11/2024] [Indexed: 09/28/2024]
Abstract
We review recent results on textile triboelectric nanogenerators (T-TENGs), which function both as harvesters of mechanical energy and self-powered motion sensors. T-TENGs can be flexible, breathable, and lightweight. With a combination of traditional and novel manufacturing methods, including nanofibers, T-TENGs can deliver promising power output. We review the evolution of T-TENG device structures based on various textile material configurations and fabrication methods, along with demonstrations of self-powered systems. We also provide a detailed analysis of different textile materials and approaches used to enhance output. Additionally, we discuss integration capabilities with supercapacitors and potential applications across various fields such as health monitoring, human activity monitoring, human-machine interaction applications, etc. This review concludes by addressing the challenges and key research questions that remain for developing viable T-TENG technology.
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Affiliation(s)
| | - S R Srither
- Centre of Excellence for Nanotechnology, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram 522302, Andhra Pradesh, India
| | - N R Dhineshbabu
- Department of Electronics and Communication Engineering, T. John Institute of Technology, Bengaluru 560083, Karnataka, India
- Department of Manufacturing, Saveetha School of Engineering, Chennai 602105, Tamil Nadu, India
| | - Suman Maloji
- Centre of Excellence for Nanotechnology, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram 522302, Andhra Pradesh, India
| | - Oscar Dahlsten
- Department of Physics, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR, China
| | - Ramachandran Balaji
- Centre of Excellence for Nanotechnology, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram 522302, Andhra Pradesh, India
| | - Ragini Singh
- Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Vaddeswaram 522302, Andhra Pradesh, India
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Wang L, Liu S, Zhao W, Li J, Zeng H, Kang S, Sheng X, Wang L, Fan Y, Yin L. Recent Advances in Implantable Neural Interfaces for Multimodal Electrical Neuromodulation. Adv Healthc Mater 2024; 13:e2303316. [PMID: 38323711 DOI: 10.1002/adhm.202303316] [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: 09/29/2023] [Revised: 01/29/2024] [Indexed: 02/08/2024]
Abstract
Electrical neuromodulation plays a pivotal role in enhancing patient outcomes among individuals suffering from neurological disorders. Implantable neural interfaces are vital components of the electrical neuromodulation system to ensure desirable performance; However, conventional devices are limited to a single function and are constructed with bulky and rigid materials, which often leads to mechanical incompatibility with soft tissue and an inability to adapt to the dynamic and complex 3D structures of biological systems. In addition, current implantable neural interfaces utilized in clinical settings primarily rely on wire-based techniques, which are associated with complications such as increased risk of infection, limited positioning options, and movement restrictions. Here, the state-of-art applications of electrical neuromodulation are presented. Material schemes and device structures that can be employed to develop robust and multifunctional neural interfaces, including flexibility, stretchability, biodegradability, self-healing, self-rolling, or morphing are discussed. Furthermore, multimodal wireless neuromodulation techniques, including optoelectronics, mechano-electrics, magnetoelectrics, inductive coupling, and electrochemically based self-powered devices are reviewed. In the end, future perspectives are given.
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Affiliation(s)
- Liu Wang
- Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, and with the School of Engineering Medicine, Beihang University, Beijing, 100083, P. R. China
| | - Shengnan Liu
- 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, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing, 100084, P. R. China
| | - Wentai Zhao
- Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, and with the School of Engineering Medicine, Beihang University, Beijing, 100083, P. R. China
| | - Jiakun Li
- Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, and with the School of Engineering Medicine, Beihang University, Beijing, 100083, P. R. China
| | - Haoxuan Zeng
- Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, and with the School of Engineering Medicine, Beihang University, Beijing, 100083, P. R. China
| | - Shaoyang Kang
- Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, and with the School of Engineering Medicine, Beihang University, Beijing, 100083, P. R. China
| | - Xing Sheng
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Laboratory of Flexible Electronics Technology, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084, China
| | - Lizhen Wang
- Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, and with the School of Engineering Medicine, Beihang University, Beijing, 100083, P. R. China
| | - Yubo Fan
- Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, and with the School of Engineering Medicine, Beihang University, Beijing, 100083, P. R. China
| | - 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, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing, 100084, P. R. China
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3
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Lu X, Chen Z, Chen G, Liu Z. Metal-organic framework based self-powered devices for human body energy harvesting. Chem Commun (Camb) 2024; 60:7843-7865. [PMID: 38967500 DOI: 10.1039/d4cc02110j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/06/2024]
Abstract
The shift from traditional bulky electronics to smart wearable devices represents a crucial trend in technological advancement. In recent years, the focus has intensified on harnessing thermal and mechanical energy from human activities to power small wearable electronics. This vision has attracted considerable attention from researchers, with an emphasis on the development of suitable materials that can efficiently convert human body energy into usable electrical form. Metal-organic frameworks (MOFs), with their unique tunable structures, large surface areas, and high porosity, emerge as a promising material category for human body energy harvesting due to their ability to be precisely engineered at the molecular level, which allows for the optimization of their properties to suit specific energy harvesting needs. This article explores the progressive development of MOF materials, highlighting their potential in the realm of self-power devices for wearable applications. It first introduces the typical energy harvesting routes that are particularly suitable for harvesting human body energy, including thermoelectric, triboelectric, and piezoelectric techniques. Then, it delves into various research advances that have demonstrated the efficacy of MOFs in capturing and converting body-generated energy into electrical energy, emphasizing on the conceptual design, device fabrication, and applications in medical health monitoring, human-computer interaction, and motion monitoring. Furthermore, it discusses potential future directions for research in MOF-based self-powered devices and outlines perspectives that could drive breakthroughs in the efficiency and practicality of these devices.
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Affiliation(s)
- Xin Lu
- Guangdong Provincial Key Laboratory of New Energy Materials Service Safety, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518055, People's Republic of China.
| | - Zhi Chen
- Guangdong Provincial Key Laboratory of New Energy Materials Service Safety, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518055, People's Republic of China.
| | - Guangming Chen
- Guangdong Provincial Key Laboratory of New Energy Materials Service Safety, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518055, People's Republic of China.
| | - Zhuoxin Liu
- Guangdong Provincial Key Laboratory of New Energy Materials Service Safety, College of Materials Science and Engineering, Shenzhen University, Shenzhen, 518055, People's Republic of China.
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4
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Hui X, Tang L, Zhang D, Yan S, Li D, Chen J, Wu F, Wang ZL, Guo H. Acoustically Enhanced Triboelectric Stethoscope for Ultrasensitive Cardiac Sounds Sensing and Disease Diagnosis. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2401508. [PMID: 38747492 DOI: 10.1002/adma.202401508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 05/02/2024] [Indexed: 05/21/2024]
Abstract
Electronic stethoscope used to detect cardiac sounds that contain essential clinical information is a primary tool for diagnosis of various cardiac disorders. However, the linear electromechanical constitutive relation makes conventional piezoelectric sensors rather ineffective to detect low-intensity, low-frequency heart acoustic signal without the assistance of complex filtering and amplification circuits. Herein, it is found that triboelectric sensor features superior advantages over piezoelectric one for microquantity sensing originated from the fast saturated constitutive characteristic. As a result, the triboelectric sensor shows ultrahigh sensitivity (1215 mV Pa-1) than the piezoelectric counterpart (21 mV Pa-1) in the sound pressure range of 50-80 dB under the same testing condition. By designing a trumpet-shaped auscultatory cavity with a power function cross-section to achieve acoustic energy converging and impedance matching, triboelectric stethoscope delivers 36 dB signal-to-noise ratio for human test (2.3 times of that for piezoelectric one). Further combining with machine learning, five cardiac states can be diagnosed at 97% accuracy. In general, the triboelectric sensor is distinctly unique in basic mechanism, provides a novel design concept for sensing micromechanical quantities, and presents significant potential for application in cardiac sounds sensing and disease diagnosis.
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Affiliation(s)
- Xindan Hui
- College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, 400044, China
- School of Physics, Chongqing University, Chongqing, 400044, China
| | - Lirong Tang
- College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, 400044, China
- School of Physics, Chongqing University, Chongqing, 400044, China
| | - Dewen Zhang
- College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, 400044, China
| | - Shanlin Yan
- College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, 400044, China
| | - Dongxiao Li
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore
| | - Jie Chen
- College of Physics and Electronic Engineering, Chongqing Normal University, Chongqing, 401331, China
| | - Fei Wu
- College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, 400044, China
| | - Zhong Lin Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, China
| | - Hengyu Guo
- College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, 400044, China
- School of Physics, Chongqing University, Chongqing, 400044, China
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5
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Xu S, Li C, Wei C, Kang X, Shu S, Liu G, Xu Z, Han M, Luo J, Tang W. Closed-Loop Wearable Device Network of Intrinsically-Controlled, Bilateral Coordinated Functional Electrical Stimulation for Stroke. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2304763. [PMID: 38429890 PMCID: PMC11077660 DOI: 10.1002/advs.202304763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 01/28/2024] [Indexed: 03/03/2024]
Abstract
Innovative functional electrical stimulation has demonstrated effectiveness in enhancing daily walking and rehabilitating stroke patients with foot drop. However, its lack of precision in stimulating timing, individual adaptivity, and bilateral symmetry, resulted in diminished clinical efficacy. Therefore, a closed-loop wearable device network of intrinsically controlled functional electrical stimulation (CI-FES) system is proposed, which utilizes the personal surface myoelectricity, derived from the intrinsic neuro signal, as the switch to activate/deactivate the stimulation on the affected side. Simultaneously, it decodes the myoelectricity signal of the patient's healthy side to adjust the stimulation intensity, forming an intrinsically controlled loop with the inertial measurement units. With CI-FES assistance, patients' walking ability significantly improved, evidenced by the shift in ankle joint angle mean and variance from 105.53° and 28.84 to 102.81° and 17.71, and the oxyhemoglobin concentration tested by the functional near-infrared spectroscopy. In long-term CI-FES-assisted clinical testing, the discriminability in machine learning classification between patients and healthy individuals gradually decreased from 100% to 92.5%, suggesting a remarkable recovery tendency, further substantiated by performance on the functional movement scales. The developed CI-FES system is crucial for contralateral-hemiplegic stroke recovery, paving the way for future closed-loop stimulation systems in stroke rehabilitation is anticipated.
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Affiliation(s)
- Shuxing Xu
- Beijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing101400China
- Center on Nanoenergy ResearchSchool of Physical Science & TechnologyGuangxi UniversityNanning530004China
- School of Nanoscience and TechnologyUniversity of Chinese Academy of SciencesBeijing100049China
| | - Chengyu Li
- Beijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing101400China
- School of Nanoscience and TechnologyUniversity of Chinese Academy of SciencesBeijing100049China
| | - Conghui Wei
- Rehabilitation Medicine DepartmentThe Second Affiliated Hospital of Nanchang UniversityNanchang City330006P. R. China
| | - Xinfang Kang
- Rehabilitation Medicine DepartmentThe Second Affiliated Hospital of Nanchang UniversityNanchang City330006P. R. China
| | - Sheng Shu
- Beijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing101400China
- School of Nanoscience and TechnologyUniversity of Chinese Academy of SciencesBeijing100049China
| | - Guanlin Liu
- Center on Nanoenergy ResearchSchool of Physical Science & TechnologyGuangxi UniversityNanning530004China
| | - Zijie Xu
- Beijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing101400China
- School of Nanoscience and TechnologyUniversity of Chinese Academy of SciencesBeijing100049China
| | - Mengdi Han
- Department of Biomedical EngineeringCollege of Future TechnologyPeking UniversityBeijing100871China
| | - Jun Luo
- Rehabilitation Medicine DepartmentThe Second Affiliated Hospital of Nanchang UniversityNanchang City330006P. R. China
| | - Wei Tang
- Beijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing101400China
- School of Nanoscience and TechnologyUniversity of Chinese Academy of SciencesBeijing100049China
- Institute of Applied NanotechnologyJiaxingZhejiang314031China
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6
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Liu H, Ji X, Guo Z, Wei X, Fan J, Shi P, Pu X, Gong F, Xu L. A high-current hydrogel generator with engineered mechanoionic asymmetry. Nat Commun 2024; 15:1494. [PMID: 38374305 PMCID: PMC10876576 DOI: 10.1038/s41467-024-45931-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 02/08/2024] [Indexed: 02/21/2024] Open
Abstract
Mechanoelectrical energy conversion is a potential solution for the power supply of miniaturized wearable and implantable systems; yet it remains challenging due to limited current output when exploiting low-frequency motions with soft devices. We report a design of a hydrogel generator with mechanoionic current generation amplified by orders of magnitudes with engineered structural and chemical asymmetry. Under compressive loading, relief structures in the hydrogel intensify net ion fluxes induced by deformation gradient, which synergize with asymmetric ion adsorption characteristics of the electrodes and distinct diffusivity of cations and anions in the hydrogel matrix. This engineered mechanoionic process can yield 4 mA (5.5 A m-2) of peak current under cyclic compression of 80 kPa applied at 0.1 Hz, with the transferred charge reaching up to 916 mC m-2 per cycle. The high current output of this miniaturized hydrogel generator is beneficial for the powering of wearable devices, as exemplified by a controlled drug-releasing system for wound healing. The demonstrated mechanisms for amplifying mechanoionic effect will enable further designs for a variety of self-powered biomedical systems.
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Affiliation(s)
- Hongzhen Liu
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China
| | - Xianglin Ji
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong SAR, China
- Hong Kong Centre for Cerebro-Cardiovascular Health Engineering, Hong Kong Science Park, Hong Kong SAR, China
| | - Zihao Guo
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, China
| | - Xi Wei
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China
| | - Jinchen Fan
- School of Materials and Chemistry, University of Shanghai for Science and Technology, Shanghai, China
| | - Peng Shi
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong SAR, China
- Hong Kong Centre for Cerebro-Cardiovascular Health Engineering, Hong Kong Science Park, Hong Kong SAR, China
| | - Xiong Pu
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, China.
| | - Feng Gong
- Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing, China.
| | - Lizhi Xu
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.
- Advanced Biomedical Instrumentation Centre, Hong Kong Science Park, Shatin, New Territories, Hong Kong SAR, China.
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7
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Li J, Che Z, Wan X, Manshaii F, Xu J, Chen J. Biomaterials and bioelectronics for self-powered neurostimulation. Biomaterials 2024; 304:122421. [PMID: 38065037 DOI: 10.1016/j.biomaterials.2023.122421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 11/23/2023] [Accepted: 11/27/2023] [Indexed: 12/30/2023]
Abstract
Self-powered neurostimulation via biomaterials and bioelectronics innovation has emerged as a compelling approach to explore, repair, and modulate neural systems. This review examines the application of self-powered bioelectronics for electrical stimulation of both the central and peripheral nervous systems, as well as isolated neurons. Contemporary research has adeptly harnessed biomechanical and biochemical energy from the human body, through various mechanisms such as triboelectricity, piezoelectricity, magnetoelasticity, and biofuel cells, to power these advanced bioelectronics. Notably, these self-powered bioelectronics hold substantial potential for delivering neural stimulations that are customized for the treatment of neurological diseases, facilitation of neural regeneration, and the development of neuroprosthetics. Looking ahead, we expect that the ongoing advancements in biomaterials and bioelectronics will drive the field of self-powered neurostimulation toward the realization of more advanced, closed-loop therapeutic solutions, paving the way for personalized and adaptable neurostimulators in the coming decades.
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Affiliation(s)
- Jinlong Li
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Ziyuan Che
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Xiao Wan
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Farid Manshaii
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Jing Xu
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
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8
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Liu D, Zhang J, Cui S, Zhou L, Gao Y, Wang ZL, Wang J. Recent Progress of Advanced Materials for Triboelectric Nanogenerators. SMALL METHODS 2023; 7:e2300562. [PMID: 37330665 DOI: 10.1002/smtd.202300562] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 05/24/2023] [Indexed: 06/19/2023]
Abstract
Triboelectric nanogenerators (TENGs) have received intense attention due to their broad application prospects in the new era of internet of things (IoTs) as distributed power sources and self-powered sensors. Advanced materials are vital components for TENGs, which decide their comprehensive performance and application scenarios, opening up the opportunity to develop efficient TENGs and expand their potential applications. In this review, a systematic and comprehensive overview of the advanced materials for TENGs is presented, including materials classifications, fabrication methods, and the properties required for applications. In particular, the triboelectric, friction, and dielectric performance of advanced materials is focused upon and their roles in designing the TENGs are analyzed. The recent progress of advanced materials used in TENGs for mechanical energy harvesting and self-powered sensors is also summarized. Finally, an overview of the emerging challenges, strategies, and opportunities for research and development of advanced materials for TENGs is provided.
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Affiliation(s)
- Di Liu
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Jiayue Zhang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
| | - Shengnan Cui
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Linglin Zhou
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Yikui Gao
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Zhong Lin Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
- School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Jie Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
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Zhang Z, Zhu Z, Zhou P, Zou Y, Yang J, Haick H, Wang Y. Soft Bioelectronics for Therapeutics. ACS NANO 2023; 17:17634-17667. [PMID: 37677154 DOI: 10.1021/acsnano.3c02513] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/09/2023]
Abstract
Soft bioelectronics play an increasingly crucial role in high-precision therapeutics due to their softness, biocompatibility, clinical accuracy, long-term stability, and patient-friendliness. In this review, we provide a comprehensive overview of the latest representative therapeutic applications of advanced soft bioelectronics, ranging from wearable therapeutics for skin wounds, diabetes, ophthalmic diseases, muscle disorders, and other diseases to implantable therapeutics against complex diseases, such as cardiac arrhythmias, cancer, neurological diseases, and others. We also highlight key challenges and opportunities for future clinical translation and commercialization of soft therapeutic bioelectronics toward personalized medicine.
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Affiliation(s)
- Zongman Zhang
- Department of Chemical Engineering, Guangdong Technion-Israel Institute of Technology, 241 Daxue Road, Shantou, Guangdong 515063, China
- The Wolfson Department of Chemical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Zhongtai Zhu
- Department of Chemical Engineering, Guangdong Technion-Israel Institute of Technology, 241 Daxue Road, Shantou, Guangdong 515063, China
| | - Pengcheng Zhou
- Department of Chemical Engineering, Guangdong Technion-Israel Institute of Technology, 241 Daxue Road, Shantou, Guangdong 515063, China
- The Wolfson Department of Chemical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Yunfan Zou
- Department of Biotechnology and Food Engineering, Guangdong Technion-Israel Institute of Technology, 241 Daxue Road, Shantou, Guangdong 515063, China
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Jiawei Yang
- Department of Chemical Engineering, Guangdong Technion-Israel Institute of Technology, 241 Daxue Road, Shantou, Guangdong 515063, China
- The Wolfson Department of Chemical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Hossam Haick
- The Wolfson Department of Chemical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Yan Wang
- Department of Chemical Engineering, Guangdong Technion-Israel Institute of Technology, 241 Daxue Road, Shantou, Guangdong 515063, China
- The Wolfson Department of Chemical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel
- Guangdong Provincial Key Laboratory of Materials and Technologies for Energy Conversion, Guangdong Technion-Israel Institute of Technology, 241 Daxue Road, Shantou, Guangdong 515063, China
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10
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Zhou X, Li G, Wu D, Liang H, Zhang W, Zeng L, Zhu Q, Lai P, Wen Z, Yang C, Pan Y. Recent advances of cellular stimulation with triboelectric nanogenerators. EXPLORATION (BEIJING, CHINA) 2023; 3:20220090. [PMID: 37933231 PMCID: PMC10624380 DOI: 10.1002/exp.20220090] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 12/06/2022] [Indexed: 11/08/2023]
Abstract
Triboelectric nanogenerators (TENGs) are new energy collection devices that have the characteristics of high efficiency, low cost, miniaturization capability, and convenient manufacture. TENGs mainly utilize the triboelectric effect to obtain mechanical energy from organisms or the environment, and this mechanical energy is then converted into and output as electrical energy. Bioelectricity is a phenomenon that widely exists in various cellular processes, including cell proliferation, senescence, apoptosis, as well as adjacent cells' communication and coordination. Therefore, based on these features, TENGs can be applied in organisms to collect energy and output electrical stimulation to act on cells, changing their activities and thereby playing a role in regulating cellular function and interfering with cellular fate, which can further develop into new methods of health care and disease intervention. In this review, we first introduce the working principle of TENGs and their working modes, and then summarize the current research status of cellular function regulation and fate determination stimulated by TENGs, and also analyze their application prospects for changing various processes of cell activity. Finally, we discuss the opportunities and challenges of TENGs in the fields of life science and biomedical engineering, and propose a variety of possibilities for their potential development direction.
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Affiliation(s)
- Xingyu Zhou
- Department of Orthopaedics, Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangzhouChina
| | - Gaocai Li
- Department of Orthopaedics, Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangzhouChina
| | - Di Wu
- Department of Orthopaedics, Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Huaizhen Liang
- Department of Orthopaedics, Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Weifeng Zhang
- Department of Orthopaedics, Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Lingli Zeng
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangzhouChina
| | - Qianqian Zhu
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon‐Based Functional Materials and DevicesSoochow UniversitySuzhouChina
| | - Puxiang Lai
- Department of Biomedical EngineeringHong Kong Polytechnic UniversityHong KongChina
| | - Zhen Wen
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon‐Based Functional Materials and DevicesSoochow UniversitySuzhouChina
| | - Cao Yang
- Department of Orthopaedics, Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Yue Pan
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangzhouChina
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11
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Wang J, Zhu Z. Novel paradigm of mosquito-borne disease control based on self-powered strategy. Front Public Health 2023; 11:1115000. [PMID: 36741958 PMCID: PMC9895093 DOI: 10.3389/fpubh.2023.1115000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 01/03/2023] [Indexed: 01/22/2023] Open
Affiliation(s)
- Junhao Wang
- School of Electronic Information Engineering, Southwest University, Chongqing, China,State Key Laboratory of Bioelectronics, Southeast University, Nanjing, China
| | - Zhiyuan Zhu
- School of Electronic Information Engineering, Southwest University, Chongqing, China,*Correspondence: Zhiyuan Zhu ✉
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12
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Rayegani A, Saberian M, Delshad Z, Liang J, Sadiq M, Nazar AM, Mohsan SAH, Khan MA. Recent Advances in Self-Powered Wearable Sensors Based on Piezoelectric and Triboelectric Nanogenerators. BIOSENSORS 2022; 13:37. [PMID: 36671872 PMCID: PMC9855384 DOI: 10.3390/bios13010037] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 12/19/2022] [Accepted: 12/22/2022] [Indexed: 06/06/2023]
Abstract
Early clinical diagnosis and treatment of disease rely heavily on measuring the many various types of medical information that are scattered throughout the body. Continuous and accurate monitoring of the human body is required in order to identify abnormal medical signals and to locate the factors that contribute to their occurrence in a timely manner. In order to fulfill this requirement, a variety of battery-free and self-powered methods of information collecting have been developed. For the purpose of a health monitoring system, this paper presents smart wearable sensors that are based on triboelectric nanogenerators (TENG) and piezoelectric nanogenerators (PENG), as well as hybrid nanogenerators that combine piezoelectric and triboelectric nanogenerators (PTNG). Following the presentation of the PENG and TENG principles, a summary and discussion of the most current developments in self-powered medical information sensors with a variety of purposes, structural designs, and electric performances follows. Wearable sensors that generate their own electricity are crucial not only for the proper development of children and patients with unique conditions, but for the purpose of maintaining checks on the wellbeing of the elderly and those who have recently recovered from illness, and for administering any necessary medical care. This work sought to do two things at once: provide perspectives for health monitoring, and open up new avenues for the analysis of long-distance biological movement status.
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Affiliation(s)
- Arash Rayegani
- Department of Civil Engineering, Sharif University of Technology, Tehran 1458889694, Iran
| | | | - Zahra Delshad
- Department of Nursing, Kashan Branch, Islamic Azad University, Kashan 8715998151, Iran
| | - Junwei Liang
- College of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172, China
| | - Muhammad Sadiq
- Shenzhen Institute of Information Technology, Shenzhen 518172, China
| | - Ali Matin Nazar
- The Zhejiang University-University of Illinois at Urbana-Champaign Institute, Zhejiang University, Haining 314400, China
| | - Syed Agha Hassnain Mohsan
- Optical Communications Laboratory, Ocean College, Zhejiang University, Zheda Road 1, Zhoushan 316021, China
| | - Muhammad Asghar Khan
- Hamdard Institute of Engineering and Technology, Hamdard University, Islamabad 700081, Pakistan
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13
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Zhao Z, Lu Y, Mi Y, Meng J, Wang X, Cao X, Wang N. Adaptive Triboelectric Nanogenerators for Long-Term Self-Treatment: A Review. BIOSENSORS 2022; 12:1127. [PMID: 36551094 PMCID: PMC9775114 DOI: 10.3390/bios12121127] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 11/26/2022] [Accepted: 12/01/2022] [Indexed: 05/27/2023]
Abstract
Triboelectric nanogenerators (TENGs) were initially invented as an innovative energy-harvesting technology for scavenging mechanical energy from our bodies or the ambient environment. Through adaptive customization design, TENGs have also become a promising player in the self-powered wearable medical market for improving physical fitness and sustaining a healthy lifestyle. In addition to simultaneously harvesting our body's mechanical energy and actively detecting our physiological parameters and metabolic status, TENGs can also provide personalized medical treatment solutions in a self-powered modality. This review aims to cover the recent advances in TENG-based electronics in clinical applications, beginning from the basic working principles of TENGs and their general operation modes, continuing to the harvesting of bioenergy from the human body, and arriving at their adaptive design toward applications in chronic disease diagnosis and long-term clinical treatment. Considering the highly personalized usage scenarios, special attention is paid to customized modules that are based on TENGs and support complex medical treatments, where sustainability, biodegradability, compliance, and bio-friendliness may be critical for the operation of clinical systems. While this review provides a comprehensive understanding of TENG-based clinical devices that aims to reach a high level of technological readiness, the challenges and shortcomings of TENG-based clinical devices are also highlighted, with the expectation of providing a useful reference for the further development of such customized healthcare systems and the transfer of their technical capabilities into real-life patient care.
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Affiliation(s)
- Zequan Zhao
- Center for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
| | - Yin Lu
- Center for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
| | - Yajun Mi
- Center for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
| | - Jiajing Meng
- Center for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
| | - Xueqing Wang
- Center for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
| | - Xia Cao
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Ning Wang
- Center for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China
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14
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Chen M, Li P, Wang R, Xiang Y, Huang Z, Yu Q, He M, Liu J, Wang J, Su M, Zhang M, Jian A, Ouyang J, Zhang C, Li J, Dong M, Zeng S, Wu J, Hong P, Hou C, Zhou N, Zhang D, Zhou H, Tao G. Multifunctional Fiber-Enabled Intelligent Health Agents. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2200985. [PMID: 35820163 DOI: 10.1002/adma.202200985] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 03/31/2022] [Indexed: 06/15/2023]
Abstract
The application of wearable devices is promoting the development toward digitization and intelligence in the field of health. However, the current smart devices centered on human health have disadvantages such as weak perception, high interference degree, and unfriendly interaction. Here, an intelligent health agent based on multifunctional fibers, with the characteristics of autonomy, activeness, intelligence, and perceptibility enabling health services, is proposed. According to the requirements for healthcare in the medical field and daily life, four major aspects driven by intelligent agents, including health monitoring, therapy, protection, and minimally invasive surgery, are summarized from the perspectives of materials science, medicine, and computer science. The function of intelligent health agents is realized through multifunctional fibers as sensing units and artificial intelligence technology as a cognitive engine. The structure, characteristics, and performance of fibers and analysis systems and algorithms are reviewed, while discussing future challenges and opportunities in healthcare and medicine. Finally, based on the above four aspects, future scenarios related to health protection of a person's life are presented. Intelligent health agents will have the potential to accelerate the realization of precision medicine and active health.
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Affiliation(s)
- Min Chen
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Pan Li
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Rui Wang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Yuanzhuo Xiang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Zhiheng Huang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Qiao Yu
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Muyao He
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jia Liu
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jiaxi Wang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Minyu Su
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Manni Zhang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Aijia Jian
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jingyu Ouyang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Chenxi Zhang
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jing Li
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Mengxue Dong
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Shaoning Zeng
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Jiawei Wu
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Ping Hong
- Beijing Sport University, Beijing, 100091, P. R. China
| | - Chong Hou
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- School of Optics and Electronic Information, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Ning Zhou
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Dingyu Zhang
- Hubei Provincial Health and Health Committee, Wuhan, Hubei, 430015, P. R. China
| | - Huamin Zhou
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
| | - Guangming Tao
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China
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15
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Chen Z, Gao F, Liang J. Kinetic energy harvesting based sensing and IoT systems: A review. FRONTIERS IN ELECTRONICS 2022. [DOI: 10.3389/felec.2022.1017511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
The rapid advance of the Internet of Things (IoT) has attracted growing interest in academia and industry toward pervasive sensing and everlasting IoT. As the IoT nodes exponentially increase, replacing and recharging their batteries proves an incredible waste of labor and resources. Kinetic energy harvesting (KEH), converting the wasted ambient kinetic energy into usable electrical energy, is an emerging research field where various working mechanisms and designs have been developed for improved performance. Leveraging the KEH technologies, many motion-powered sensors, where changes in the external environment are directly converted into corresponding self-generated electrical signals, are developed and prove promising for multiple self-sensing applications. Furthermore, some recent studies focus on utilizing the generated energy to power a whole IoT sensing system. These systems comprehensively consider the mechanical, electrical, and cyber parts, which lead a further step to truly self-sustaining and maintenance-free IoT systems. Here, this review starts with a brief introduction of KEH from the ambient environment and human motion. Furthermore, the cutting-edge KEH-based sensors are reviewed in detail. Subsequently, divided into two aspects, KEH-based battery-free sensing systems toward IoT are highlighted. Moreover, there are remarks in every chapter for summarizing. The concept of self-powered sensing is clarified, and advanced studies of KEH-based sensing in different fields are introduced. It is expected that this review can provide valuable references for future pervasive sensing and ubiquitous IoT.
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16
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Zhao Z, Lu Y, Mi Y, Meng J, Cao X, Wang N. Structural Flexibility in Triboelectric Nanogenerators: A Review on the Adaptive Design for Self-Powered Systems. MICROMACHINES 2022; 13:mi13101586. [PMID: 36295939 PMCID: PMC9610431 DOI: 10.3390/mi13101586] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 09/19/2022] [Accepted: 09/21/2022] [Indexed: 05/27/2023]
Abstract
There is an increasing need for structural flexibility in self-powered wearable electronics and other Internet of Things (IoT), where adaptable triboelectric nanogenerators (TENGs) play a key role in realizing the true potential of IoT by endowing the latter with self-sustainability. Thus, in this review, the topic was restricted to the adaptive design of TENGs with structural flexibility that aims to promote the sustainable operation of various smart electronics. This review begins with an emphatical discussion of the concept of flexible electronics and TENGs, and continues with the introduction of TENG-based self-powered intelligent systems while placing the emphasis on self-powered flexible intelligent devices. Self-powered healthcare sensors, e-skins, and other intelligent wearable electronics with enhanced intelligence and efficiency in practical applications due to the integration with TENGs are illustrated, along with an emphasis on the design strategy of structural flexibility of TENGs and the associated integration schemes. This review aims to cover recent achievements in the field of self-powered systems, and provides information on how flexibility or adaptability in TENGs can be adopted, their types, and why they are required in promoting advanced IoT applications with sustainability and intelligence algorithms.
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Affiliation(s)
- Zequan Zhao
- Center for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
| | - Yin Lu
- Center for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
| | - Yajun Mi
- Center for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
| | - Jiajing Meng
- Center for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
| | - Xia Cao
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Ning Wang
- Center for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China
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17
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Lyu X, Ciampi S. Improving the performances of direct-current triboelectric nanogenerators with surface chemistry. Curr Opin Colloid Interface Sci 2022. [DOI: 10.1016/j.cocis.2022.101627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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18
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Rahimi Sardo F, Rayegani A, Matin Nazar A, Balaghiinaloo M, Saberian M, Mohsan SAH, Alsharif MH, Cho HS. Recent Progress of Triboelectric Nanogenerators for Biomedical Sensors: From Design to Application. BIOSENSORS 2022; 12:697. [PMID: 36140082 PMCID: PMC9496147 DOI: 10.3390/bios12090697] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/14/2022] [Accepted: 08/22/2022] [Indexed: 12/22/2022]
Abstract
Triboelectric nanogenerators (TENG) have gained prominence in recent years, and their structural design is crucial for improvement of energy harvesting performance and sensing. Wearable biosensors can receive information about human health without the need for external charging, with energy instead provided by collection and storage modules that can be integrated into the biosensors. However, the failure to design suitable components for sensing remains a significant challenge associated with biomedical sensors. Therefore, design of TENG structures based on the human body is a considerable challenge, as biomedical sensors, such as implantable and wearable self-powered sensors, have recently advanced. Following a brief introduction of the fundamentals of triboelectric nanogenerators, we describe implantable and wearable self-powered sensors powered by triboelectric nanogenerators. Moreover, we examine the constraints limiting the practical uses of self-powered devices.
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Affiliation(s)
- Fatemeh Rahimi Sardo
- Department of Mining Engineering, Shahid Bahonar University of Kerman, Kerman 7616913439, Iran
| | - Arash Rayegani
- Department of Civil Engineering, Sharif University of Technology, Azadi Ave, Tehran 1458889694, Iran
| | | | | | | | | | - Mohammed H. Alsharif
- Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, Seoul 05006, Korea
| | - Ho-Shin Cho
- School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Korea
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19
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Zheng Z, Lin M, Lu W, Huang P, Zheng Y, Zhang X, Yan L, Wang W, Lawson T, Shi B, Chen S, Liu Y. The Efficient Regeneration of Corneal Nerves via Tunable Transmembrane Signaling Channels Using a Transparent Graphene-Based Corneal Stimulation Electrode. Adv Healthc Mater 2022; 11:e2101667. [PMID: 35108456 DOI: 10.1002/adhm.202101667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 01/04/2022] [Indexed: 11/09/2022]
Abstract
The efficient regeneration of corneal nerves is of limited success in the field of ophthalmology. This work reports the use of a non-invasive electrical stimulation technique that uses a transparent graphene-based corneal stimulation electrode and that can achieve efficient regeneration of corneal nerves. The corneal stimulation electrode is prepared using electroactive nitrogen-containing conducting polymers such as polyaniline functionalized graphene (PAG). This composite can carry a high capacitive current. It can be used to tune transmembrane signaling pathways including calcium channels and the MAPK signaling pathway. Tuning can lead to the efficient regeneration of corneal damaged nerves after the surgery of laser in-situ keratomileusis (LASIK). The composite and its application reported have the potential to provide a new way to treat nerve-related injuries.
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Affiliation(s)
- Zheng Zheng
- Eye Hospital, School of Ophthalmology and Optometry, School of Biomedical Engineering State Key Laboratory of Ophthalmology Optometry and Vision Science Wenzhou Medical University 270 Xuanyuanxi Road Wenzhou Zhejiang 325027 China
- Department of Ophthalmology Shanghai General Hospital Shanghai Jiao Tong University School of Medicine National Clinical Research Centre for Eye Diseases 100 Haining Road Shanghai 200080 China
| | - Mimi Lin
- Eye Hospital, School of Ophthalmology and Optometry, School of Biomedical Engineering State Key Laboratory of Ophthalmology Optometry and Vision Science Wenzhou Medical University 270 Xuanyuanxi Road Wenzhou Zhejiang 325027 China
| | - Weicong Lu
- Eye Hospital, School of Ophthalmology and Optometry, School of Biomedical Engineering State Key Laboratory of Ophthalmology Optometry and Vision Science Wenzhou Medical University 270 Xuanyuanxi Road Wenzhou Zhejiang 325027 China
| | - Pingping Huang
- Eye Hospital, School of Ophthalmology and Optometry, School of Biomedical Engineering State Key Laboratory of Ophthalmology Optometry and Vision Science Wenzhou Medical University 270 Xuanyuanxi Road Wenzhou Zhejiang 325027 China
| | - Yaru Zheng
- Eye Hospital, School of Ophthalmology and Optometry, School of Biomedical Engineering State Key Laboratory of Ophthalmology Optometry and Vision Science Wenzhou Medical University 270 Xuanyuanxi Road Wenzhou Zhejiang 325027 China
| | - Xincheng Zhang
- Eye Hospital, School of Ophthalmology and Optometry, School of Biomedical Engineering State Key Laboratory of Ophthalmology Optometry and Vision Science Wenzhou Medical University 270 Xuanyuanxi Road Wenzhou Zhejiang 325027 China
| | - Lu Yan
- Eye Hospital, School of Ophthalmology and Optometry, School of Biomedical Engineering State Key Laboratory of Ophthalmology Optometry and Vision Science Wenzhou Medical University 270 Xuanyuanxi Road Wenzhou Zhejiang 325027 China
| | - Wei Wang
- Eye Hospital, School of Ophthalmology and Optometry, School of Biomedical Engineering State Key Laboratory of Ophthalmology Optometry and Vision Science Wenzhou Medical University 270 Xuanyuanxi Road Wenzhou Zhejiang 325027 China
| | - Tom Lawson
- ARC Centre of Excellence for Nanoscale Biophotonics (CNBP) Department of Physics and Astronomy Macquarie University Sydney NSW 2109 Australia
| | - Bingyang Shi
- Henan‐Macquarie University International Joint Centre for Biomedical Innovation Henan University Jinming Avenue Kaifeng Henan 475004 China
| | - Shihao Chen
- Eye Hospital, School of Ophthalmology and Optometry, School of Biomedical Engineering State Key Laboratory of Ophthalmology Optometry and Vision Science Wenzhou Medical University 270 Xuanyuanxi Road Wenzhou Zhejiang 325027 China
| | - Yong Liu
- Eye Hospital, School of Ophthalmology and Optometry, School of Biomedical Engineering State Key Laboratory of Ophthalmology Optometry and Vision Science Wenzhou Medical University 270 Xuanyuanxi Road Wenzhou Zhejiang 325027 China
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20
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Wang C, Shi Q, Lee C. Advanced Implantable Biomedical Devices Enabled by Triboelectric Nanogenerators. NANOMATERIALS (BASEL, SWITZERLAND) 2022; 12:1366. [PMID: 35458075 PMCID: PMC9032723 DOI: 10.3390/nano12081366] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 03/28/2022] [Accepted: 04/11/2022] [Indexed: 02/07/2023]
Abstract
Implantable biomedical devices (IMDs) play essential roles in healthcare. Subject to the limited battery life, IMDs cannot achieve long-term in situ monitoring, diagnosis, and treatment. The proposal and rapid development of triboelectric nanogenerators free IMDs from the shackles of batteries and spawn a self-powered healthcare system. This review aims to overview the development of IMDs based on triboelectric nanogenerators, divided into self-powered biosensors, in vivo energy harvesting devices, and direct electrical stimulation therapy devices. Meanwhile, future challenges and opportunities are discussed according to the development requirements of current-level self-powered IMDs to enhance output performance, develop advanced triboelectric nanogenerators with multifunctional materials, and self-driven close-looped diagnosis and treatment systems.
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Affiliation(s)
- Chan Wang
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, Singapore; (C.W.); (Q.S.)
- Center for Intelligent Sensors and MEMS, National University of Singapore, 5 Engineering Drive 1, Singapore 117608, Singapore
- NUS Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
| | - Qiongfeng Shi
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, Singapore; (C.W.); (Q.S.)
- Center for Intelligent Sensors and MEMS, National University of Singapore, 5 Engineering Drive 1, Singapore 117608, Singapore
- NUS Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
| | - Chengkuo Lee
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, Singapore; (C.W.); (Q.S.)
- Center for Intelligent Sensors and MEMS, National University of Singapore, 5 Engineering Drive 1, Singapore 117608, Singapore
- NUS Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
- NUS Graduate School-Integrative Sciences and Engineering Program (ISEP), National University of Singapore, Singapore 119077, Singapore
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21
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Walden R, Kumar C, Mulvihill DM, Pillai SC. Opportunities and Challenges in Triboelectric Nanogenerator (TENG) based Sustainable Energy Generation Technologies: A Mini-Review. CHEMICAL ENGINEERING JOURNAL ADVANCES 2022. [DOI: 10.1016/j.ceja.2021.100237] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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22
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Guo X, He T, Zhang Z, Luo A, Wang F, Ng EJ, Zhu Y, Liu H, Lee C. Artificial Intelligence-Enabled Caregiving Walking Stick Powered by Ultra-Low-Frequency Human Motion. ACS NANO 2021; 15:19054-19069. [PMID: 34308631 DOI: 10.1021/acsnano.1c04464] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
The increasing population of the elderly and motion-impaired people brings a huge challenge to our social system. However, the walking stick as their essential tool has rarely been investigated into its potential capabilities beyond basic physical support, such as activity monitoring, tracing, and accident alert. Here, we report a walking stick powered by ultra-low-frequency human motion and equipped with deep-learning-enabled advanced sensing features to provide a healthcare-monitoring platform for motion-impaired users. A linear-to-rotary structure is designed to achieve highly efficient energy harvesting from the linear motion of a walking stick with ultralow frequency. Besides, two kinds of self-powered triboelectric sensors are proposed and integrated to extract the motion features of the walking stick. Augmented sensing functionalities with high accuracies have been enabled by deep-learning-based data analysis, including identity recognition, disability evaluation, and motion status distinguishing. Furthermore, a self-sustainable Internet of Things (IoT) system with global positioning system tracing and environmental temperature and humidity amenity sensing functions is obtained. Combined with the aforementioned functionalities, this walking stick is demonstrated in various usage scenarios as a caregiver for real-time well-being status and activity monitoring. The caregiving walking stick shows the potential of being an intelligent aid for motion-impaired users to help them live life with adequate autonomy and safety.
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Affiliation(s)
- Xinge Guo
- Department of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, 5 Engineering Drive 1, Singapore 117608, Singapore
- Institute of Microelectronics (IME), Agency for Science, Technology and Research (A*STAR), Singapore 138634, Singapore
| | - Tianyiyi He
- Department of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, 5 Engineering Drive 1, Singapore 117608, Singapore
| | - Zixuan Zhang
- Department of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, 5 Engineering Drive 1, Singapore 117608, Singapore
| | - Anxin Luo
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China
| | - Fei Wang
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China
| | - Eldwin J Ng
- Institute of Microelectronics (IME), Agency for Science, Technology and Research (A*STAR), Singapore 138634, Singapore
| | - Yao Zhu
- Institute of Microelectronics (IME), Agency for Science, Technology and Research (A*STAR), Singapore 138634, Singapore
| | - Huicong Liu
- School of Mechanical and Electric Engineering, Jiangsu Provincial Key Laboratory of Advanced Robotics, Soochow University, Suzhou 215123, China
| | - Chengkuo Lee
- Department of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, 5 Engineering Drive 1, Singapore 117608, Singapore
- NUS Graduate School-Integrative Sciences and Engineering Program (ISEP), National University of Singapore, Singapore 119077, Singapore
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23
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Chen P, Wang Q, Wan X, Yang M, Liu C, Xu C, Hu B, Feng J, Luo Z. Wireless electrical stimulation of the vagus nerves by ultrasound-responsive programmable hydrogel nanogenerators for anti-inflammatory therapy in sepsis. NANO ENERGY 2021; 89:106327. [DOI: 10.1016/j.nanoen.2021.106327] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/14/2023]
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Reddy VS, Tian Y, Zhang C, Ye Z, Roy K, Chinnappan A, Ramakrishna S, Liu W, Ghosh R. A Review on Electrospun Nanofibers Based Advanced Applications: From Health Care to Energy Devices. Polymers (Basel) 2021; 13:3746. [PMID: 34771302 PMCID: PMC8587893 DOI: 10.3390/polym13213746] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 10/18/2021] [Accepted: 10/19/2021] [Indexed: 01/29/2023] Open
Abstract
Electrospun nanofibers have been exploited in multidisciplinary fields with numerous applications for decades. Owing to their interconnected ultrafine fibrous structure, high surface-to-volume ratio, tortuosity, permeability, and miniaturization ability along with the benefits of their lightweight, porous nanofibrous structure, they have been extensively utilized in various research fields for decades. Electrospun nanofiber technologies have paved unprecedented advancements with new innovations and discoveries in several fields of application including energy devices and biomedical and environmental appliances. This review article focused on providing a comprehensive overview related to the recent advancements in health care and energy devices while emphasizing on the importance and uniqueness of utilizing nanofibers. A brief description regarding the effect of electrospinning techniques, setup modifications, and parameters optimization on the nanofiber morphology was also provided. The article is concluded with a short discussion on current research challenges and future perspectives.
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Affiliation(s)
- Vundrala Sumedha Reddy
- Centre for Nanotechnology & Sustainability, Department of Mechanical Engineering, National University of Singapore, Singapore 119260, Singapore; (V.S.R.); (Y.T.); (C.Z.); (Z.Y.); (A.C.)
| | - Yilong Tian
- Centre for Nanotechnology & Sustainability, Department of Mechanical Engineering, National University of Singapore, Singapore 119260, Singapore; (V.S.R.); (Y.T.); (C.Z.); (Z.Y.); (A.C.)
- Key Laboratory for Information Photonic Technology of Shaanxi Province, School of Information and Electronics Engineering, Xi’an Jiaotong University, Xi’an 710049, China
| | - Chuanqi Zhang
- Centre for Nanotechnology & Sustainability, Department of Mechanical Engineering, National University of Singapore, Singapore 119260, Singapore; (V.S.R.); (Y.T.); (C.Z.); (Z.Y.); (A.C.)
| | - Zhen Ye
- Centre for Nanotechnology & Sustainability, Department of Mechanical Engineering, National University of Singapore, Singapore 119260, Singapore; (V.S.R.); (Y.T.); (C.Z.); (Z.Y.); (A.C.)
| | - Kallol Roy
- Centre for Advanced 2D Materials, National University of Singapore, Singapore 117546, Singapore;
| | - Amutha Chinnappan
- Centre for Nanotechnology & Sustainability, Department of Mechanical Engineering, National University of Singapore, Singapore 119260, Singapore; (V.S.R.); (Y.T.); (C.Z.); (Z.Y.); (A.C.)
| | - Seeram Ramakrishna
- Centre for Nanotechnology & Sustainability, Department of Mechanical Engineering, National University of Singapore, Singapore 119260, Singapore; (V.S.R.); (Y.T.); (C.Z.); (Z.Y.); (A.C.)
| | - Wei Liu
- School of Instrument Science and Engineering, Southeast University, Nanjing 211189, China
| | - Rituparna Ghosh
- Centre for Nanotechnology & Sustainability, Department of Mechanical Engineering, National University of Singapore, Singapore 119260, Singapore; (V.S.R.); (Y.T.); (C.Z.); (Z.Y.); (A.C.)
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Wen F, Zhang Z, He T, Lee C. AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove. Nat Commun 2021; 12:5378. [PMID: 34508076 PMCID: PMC8433305 DOI: 10.1038/s41467-021-25637-w] [Citation(s) in RCA: 79] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Accepted: 08/23/2021] [Indexed: 02/08/2023] Open
Abstract
Sign language recognition, especially the sentence recognition, is of great significance for lowering the communication barrier between the hearing/speech impaired and the non-signers. The general glove solutions, which are employed to detect motions of our dexterous hands, only achieve recognizing discrete single gestures (i.e., numbers, letters, or words) instead of sentences, far from satisfying the meet of the signers' daily communication. Here, we propose an artificial intelligence enabled sign language recognition and communication system comprising sensing gloves, deep learning block, and virtual reality interface. Non-segmentation and segmentation assisted deep learning model achieves the recognition of 50 words and 20 sentences. Significantly, the segmentation approach splits entire sentence signals into word units. Then the deep learning model recognizes all word elements and reversely reconstructs and recognizes sentences. Furthermore, new/never-seen sentences created by new-order word elements recombination can be recognized with an average correct rate of 86.67%. Finally, the sign language recognition results are projected into virtual space and translated into text and audio, allowing the remote and bidirectional communication between signers and non-signers.
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Affiliation(s)
- Feng Wen
- Department of Electrical & Computer Engineering, National University of Singapore, Singapore, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou, China
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore, Singapore
| | - Zixuan Zhang
- Department of Electrical & Computer Engineering, National University of Singapore, Singapore, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou, China
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore, Singapore
| | - Tianyiyi He
- Department of Electrical & Computer Engineering, National University of Singapore, Singapore, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou, China
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore, Singapore
| | - Chengkuo Lee
- Department of Electrical & Computer Engineering, National University of Singapore, Singapore, Singapore.
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou, China.
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore, Singapore.
- NUS Graduate School-Integrative Sciences and Engineering Program (ISEP), National University of Singapore, Singapore, Singapore.
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Turner BL, Senevirathne S, Kilgour K, McArt D, Biggs M, Menegatti S, Daniele MA. Ultrasound-Powered Implants: A Critical Review of Piezoelectric Material Selection and Applications. Adv Healthc Mater 2021; 10:e2100986. [PMID: 34235886 DOI: 10.1002/adhm.202100986] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 06/15/2021] [Indexed: 12/14/2022]
Abstract
Ultrasound-powered implants (UPIs) represent cutting edge power sources for implantable medical devices (IMDs), as their powering strategy allows for extended functional lifetime, decreased size, increased implant depth, and improved biocompatibility. IMDs are limited by their reliance on batteries. While batteries proved a stable power supply, batteries feature relatively large sizes, limited life spans, and toxic material compositions. Accordingly, energy harvesting and wireless power transfer (WPT) strategies are attracting increasing attention by researchers as alternative reliable power sources. Piezoelectric energy scavenging has shown promise for low power applications. However, energy scavenging devices need be located near sources of movement, and the power stream may suffer from occasional interruptions. WPT overcomes such challenges by more stable, on-demand power to IMDs. Among the various forms of WPT, ultrasound powering offers distinct advantages such as low tissue-mediated attenuation, a higher approved safe dose (720 mW cm-2 ), and improved efficiency at smaller device sizes. This study presents and discusses the state-of-the-art in UPIs by reviewing piezoelectric materials and harvesting devices including lead-based inorganic, lead-free inorganic, and organic polymers. A comparative discussion is also presented of the functional material properties, architecture, and performance metrics, together with an overview of the applications where UPIs are being deployed.
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Affiliation(s)
- Brendan L. Turner
- Joint Department of Biomedical Engineering North Carolina State University and University of North Carolina Chapel Hill, 911 Oval Dr. Raleigh NC 27695 USA
| | - Seedevi Senevirathne
- The Patrick G Johnston Centre for Cancer Research Queen's University 97 Lisburn Rd Belfast BT9 7AE UK
| | - Katie Kilgour
- Department of Chemical and Biomolecular Engineering North Carolina State University Raleigh NC 27695 USA
| | - Darragh McArt
- The Patrick G Johnston Centre for Cancer Research Queen's University 97 Lisburn Rd Belfast BT9 7AE UK
| | - Manus Biggs
- Centre for Research in Medical Devices National University of Ireland Newcastle Road Galway H91 W2TY Ireland
| | - Stefano Menegatti
- Department of Chemical and Biomolecular Engineering North Carolina State University Raleigh NC 27695 USA
| | - Michael A. Daniele
- Joint Department of Biomedical Engineering North Carolina State University and University of North Carolina Chapel Hill, 911 Oval Dr. Raleigh NC 27695 USA
- Department of Electrical and Computer Engineering North Carolina State University 890 Oval Dr. Raleigh NC 27695 USA
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Herbert R, Lim H, Park S, Kim J, Yeo W. Recent Advances in Printing Technologies of Nanomaterials for Implantable Wireless Systems in Health Monitoring and Diagnosis. Adv Healthc Mater 2021; 10:e2100158. [PMID: 34019731 DOI: 10.1002/adhm.202100158] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 05/03/2021] [Indexed: 12/17/2022]
Abstract
The development of wireless implantable sensors and integrated systems, enabled by advances in flexible and stretchable electronics technologies, is emerging to advance human health monitoring, diagnosis, and treatment. Progress in material and fabrication strategies allows for implantable electronics for unobtrusive monitoring via seamlessly interfacing with tissues and wirelessly communicating. Combining new nanomaterials and customizable printing processes offers unique possibilities for high-performance implantable electronics. Here, this report summarizes the recent progress and advances in nanomaterials and printing technologies to develop wireless implantable sensors and electronics. Advances in materials and printing processes are reviewed with a focus on challenges in implantable applications. Demonstrations of wireless implantable electronics and advantages based on these technologies are discussed. Lastly, existing challenges and future directions of nanomaterials and printing are described.
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Affiliation(s)
- Robert Herbert
- George W. Woodruff School of Mechanical Engineering Center for Human‐Centric Interfaces and Engineering Georgia Institute of Technology Atlanta GA 30332 USA
| | - Hyo‐Ryoung Lim
- George W. Woodruff School of Mechanical Engineering Center for Human‐Centric Interfaces and Engineering Georgia Institute of Technology Atlanta GA 30332 USA
| | - Sehyun Park
- School of Engineering and Computer Science Washington State University Vancouver WA 98686 USA
| | - Jong‐Hoon Kim
- School of Engineering and Computer Science Washington State University Vancouver WA 98686 USA
| | - Woon‐Hong Yeo
- George W. Woodruff School of Mechanical Engineering Center for Human‐Centric Interfaces and Engineering Georgia Institute of Technology Atlanta GA 30332 USA
- Wallace H. Coulter Department of Biomedical Engineering Parker H. Petit Institute for Bioengineering and Biosciences Neural Engineering Center Institute for Materials Institute for Robotics and Intelligent Machines Georgia Institute of Technology Atlanta GA 30332 USA
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28
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29
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Kim H, Lee JH, Lee JH, Lee BY, Lee BD, Okada K, Ji S, Yoon J, Lee JH, Lee SW. M13 Virus Triboelectricity and Energy Harvesting. NANO LETTERS 2021; 21:6851-6858. [PMID: 34383494 DOI: 10.1021/acs.nanolett.1c01881] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Triboelectrification is a phenomenon that generates electric potential upon contact. Here, we report a viral particle capable of generating triboelectric potential. M13 bacteriophage is exploited to fabricate precisely defined chemical and physical structures. By genetically engineering the charged structures, we observe that more negatively charged phages can generate higher triboelectric potentials and can diffuse the electric charges faster than less negatively charged phages can. The computational results show that the glutamate-engineered phages lower the LUMO energy level so that they can easily accept electrons from other materials upon contact. A phage-based triboelectric nanogenerator is fabricated and it could produce ∼76 V and ∼5.1 μA, enough to power 30 light-emitting diodes upon a mechanical force application. Our biotechnological approach will be useful to understand the electrical behavior of biomaterials, harvest mechanical energy, and provide a novel modality to detect desired viruses in the future.
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Affiliation(s)
- Han Kim
- Department of Applied Science and Technology, University of California, Berkeley, California 94720, United States
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | - Ju-Hyuck Lee
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
- Department of Bioengineering, University of California, Berkeley, California 94720, United States
| | - Ju Hun Lee
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
- Department of Bioengineering, University of California, Berkeley, California 94720, United States
| | - Byung Yang Lee
- Department of Mechanical Engineering, Korea University, Seoul 02841, Republic of Korea
| | - Byoung Duk Lee
- Large Display Development Center, Samsung Display Co Ltd, Yongin-si 17113, Republic of Korea
| | - Kento Okada
- Department of Bioengineering, University of California, Berkeley, California 94720, United States
- Department of Materials Science and Engineering, University of California, Berkeley, California 94720, United States
| | - Seungwook Ji
- Department of Applied Science and Technology, University of California, Berkeley, California 94720, United States
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | - Jihwan Yoon
- Large Display Development Center, Samsung Display Co Ltd, Yongin-si 17113, Republic of Korea
| | - Jong Hyuk Lee
- Large Display Development Center, Samsung Display Co Ltd, Yongin-si 17113, Republic of Korea
| | - Seung-Wuk Lee
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
- Department of Bioengineering, University of California, Berkeley, California 94720, United States
- Tsinghua-Berkeley Shenzhen Institute, Berkeley, California 94720, United States
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30
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Self-rechargeable cardiac pacemaker system with triboelectric nanogenerators. Nat Commun 2021; 12:4374. [PMID: 34272375 PMCID: PMC8285394 DOI: 10.1038/s41467-021-24417-w] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 06/11/2021] [Indexed: 12/04/2022] Open
Abstract
Self-powered implantable devices have the potential to extend device operation time inside the body and reduce the necessity for high-risk repeated surgery. Without the technological innovation of in vivo energy harvesters driven by biomechanical energy, energy harvesters are insufficient and inconvenient to power titanium-packaged implantable medical devices. Here, we report on a commercial coin battery-sized high-performance inertia-driven triboelectric nanogenerator (I-TENG) based on body motion and gravity. We demonstrate that the enclosed five-stacked I-TENG converts mechanical energy into electricity at 4.9 μW/cm3 (root-mean-square output). In a preclinical test, we show that the device successfully harvests energy using real-time output voltage data monitored via Bluetooth and demonstrate the ability to charge a lithium-ion battery. Furthermore, we successfully integrate a cardiac pacemaker with the I-TENG, and confirm the ventricle pacing and sensing operation mode of the self-rechargeable cardiac pacemaker system. This proof-of-concept device may lead to the development of new self-rechargeable implantable medical devices. Self-powered implantable devices have the potential to extend device operation, though current energy harvesters are both insufficient and inconvenient. Here the authors report on a commercial coin battery-sized high-performance inertia-driven triboelectric nanogenerator based on body motion and gravity that can be used to charge a lithium-ion battery and integrated into a cardiac pacemaker.
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31
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Conta G, Libanori A, Tat T, Chen G, Chen J. Triboelectric Nanogenerators for Therapeutic Electrical Stimulation. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2021; 33:e2007502. [PMID: 34014583 DOI: 10.1002/adma.202007502] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 12/03/2020] [Indexed: 06/12/2023]
Abstract
Current solutions developed for the purpose of in and on body (IOB) electrical stimulation (ES) lack autonomous qualities necessary for comfortable, practical, and self-dependent use. Consequently, recent focus has been placed on developing self-powered IOB therapeutic devices capable of generating therapeutic ES for human use. With the recent invention of the triboelectric nanogenerator (TENG), harnessing passive human biomechanical energy to develop self-powered systems has allowed for the introduction of novel therapeutic ES solutions. TENGs are especially effective at providing ES for IOB therapeutic systems given their bioconformability, low cost, simple manufacturability, and self-powering capabilities. Due to the key role of naturally induced electrical signals in many physiological functions, TENG-induced ES holds promise to provide a novel paradigm in therapeutic interventions. The aim here is to detail research on IOB TENG devices applied for ES-based therapy in the fields of regenerative medicine, neurology, rehabilitation, and pharmaceutical engineering. Furthermore, considering TENG-produced ES can be measured for sensing applications, this technology is paving the way to provide a fully autonomous personalized healthcare system, capable of IOB energy generation, sensing, and therapeutic intervention. Considering these grounds, it seems highly relevant to review TENG-ES research and applications, as they could constitute the foundation and future of personalized healthcare.
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Affiliation(s)
- Giorgio Conta
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Alberto Libanori
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Trinny Tat
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Guorui Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
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32
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Zou Y, Bo L, Li Z. Recent progress in human body energy harvesting for smart bioelectronic system. FUNDAMENTAL RESEARCH 2021. [DOI: 10.1016/j.fmre.2021.05.002] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
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33
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Haroun A, Le X, Gao S, Dong B, He T, Zhang Z, Wen F, Xu S, Lee C. Progress in micro/nano sensors and nanoenergy for future AIoT-based smart home applications. NANO EXPRESS 2021. [DOI: 10.1088/2632-959x/abf3d4] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Abstract
Self-sustainable sensing systems composed of micro/nano sensors and nano-energy harvesters contribute significantly to developing the internet of things (IoT) systems. As one of the most promising IoT applications, smart home relies on implementing wireless sensor networks with miniaturized and multi-functional sensors, and distributed, reliable, and sustainable power sources, namely energy harvesters with a variety of conversion mechanisms. To extend the capabilities of IoT in the smart home, a technology fusion of IoT and artificial intelligence (AI), called the artificial intelligence of things (AIoT), enables the detection, analysis, and decision-making functions with the aids of machine learning assisted algorithms to form a smart home based intelligent system. In this review, we introduce the conventional rigid microelectromechanical system (MEMS) based micro/nano sensors and energy harvesters, followed by presenting the advances in the wearable counterparts for better human interactions. We then discuss the viable integration approaches for micro/nano sensors and energy harvesters to form self-sustainable IoT systems. Whereafter, we emphasize the recent development of AIoT based systems and the corresponding applications enabled by the machine learning algorithms. Smart home based healthcare technology enabled by the integrated multi-functional sensing platform and bioelectronic medicine is also presented as an important future direction, as well as wearable photonics sensing system as a complement to the wearable electronics sensing system.
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Long Y, Li J, Yang F, Wang J, Wang X. Wearable and Implantable Electroceuticals for Therapeutic Electrostimulations. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:2004023. [PMID: 33898184 PMCID: PMC8061371 DOI: 10.1002/advs.202004023] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 11/20/2020] [Indexed: 05/21/2023]
Abstract
Wearable and implantable electroceuticals (WIEs) for therapeutic electrostimulation (ES) have become indispensable medical devices in modern healthcare. In addition to functionality, device miniaturization, conformability, biocompatibility, and/or biodegradability are the main engineering targets for the development and clinical translation of WIEs. Recent innovations are mainly focused on wearable/implantable power sources, advanced conformable electrodes, and efficient ES on targeted organs and tissues. Herein, nanogenerators as a hotspot wearable/implantable energy-harvesting technique suitable for powering WIEs are reviewed. Then, electrodes for comfortable attachment and efficient delivery of electrical signals to targeted tissue/organ are introduced and compared. A few promising application directions of ES are discussed, including heart stimulation, nerve modulation, skin regeneration, muscle activation, and assistance to other therapeutic modalities.
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Affiliation(s)
- Yin Long
- Department of Material Science and EngineeringUniversity of Wisconsin–MadisonMadisonWI53706USA
| | - Jun Li
- Department of Material Science and EngineeringUniversity of Wisconsin–MadisonMadisonWI53706USA
| | - Fan Yang
- Department of Material Science and EngineeringUniversity of Wisconsin–MadisonMadisonWI53706USA
| | - Jingyu Wang
- Department of Material Science and EngineeringUniversity of Wisconsin–MadisonMadisonWI53706USA
| | - Xudong Wang
- Department of Material Science and EngineeringUniversity of Wisconsin–MadisonMadisonWI53706USA
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35
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Wang H, Cheng J, Wang Z, Ji L, Wang ZL. Triboelectric nanogenerators for human-health care. Sci Bull (Beijing) 2021; 66:490-511. [PMID: 36654185 DOI: 10.1016/j.scib.2020.10.002] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 09/05/2020] [Accepted: 09/25/2020] [Indexed: 01/20/2023]
Abstract
Since the world's first triboelectric nanogenerator (TENG) was proposed in 2012, numerous TENG-based devices and equipment have sprung up in various fields. In particular, TENG has great potential in the field of human-health care due to its small size, self-powered and low cost. With the continuous deepening of TENG research, its structure, function and technical concept are becoming more and more abundant. In order to summarize the progress and development status of TENG in health care, based on the different types of applications subdirection, this paper reviews the TENG-based research work of this field in recent eight years. The characteristics of various types of TENG-based applications and their corresponding technologies are introduced and analyzed, under the comparison of their structure and performance. This review is dedicated to provide reference and inspiration for the future development and innovation of TENG for health care.
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Affiliation(s)
- Hao Wang
- State Key Laboratory of Tribology, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
| | - Jia Cheng
- State Key Laboratory of Tribology, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China.
| | - Zhaozheng Wang
- State Key Laboratory of Tribology, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
| | - Linhong Ji
- State Key Laboratory of Tribology, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
| | - Zhong Lin Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China; School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0245, USA.
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36
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Jung D, Song K, Ju H, Park H, Han JH, Kim N, Kim J, Lee J. Sustainably Powered, Multifunctional Flexible Feedback Implant by the Bifacial Design and Si Photovoltaics. Adv Healthc Mater 2021; 10:e2001480. [PMID: 33200555 DOI: 10.1002/adhm.202001480] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 11/05/2020] [Indexed: 11/08/2022]
Abstract
Advanced design and integration of functioning devices with secured power is of interest for many applications that require complicated, sophisticated, or multifunctional processes in confined environments such as in human bodies. Here, strategies for design and realization are introduced for multifunctional feedback implants with the bifacial design and silicon (Si) photovoltaics in flexible forms. The approaches provide efficient design spaces for flexible Si photovoltaics facing up for sustainable powering and multiple electronic components for feedback functions facing down for sensing, processing, and stimulating in human bodies. The computational and experimental results including in vivo assessments ensure feasibility of the approaches by demonstrating feedback multifunctions, power-harvesting in milliwatts, and mechanical compatibility for operations in live tissues. This work should useful for wide range of applications that require sustainable power and advanced multifunctions.
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Affiliation(s)
- Dongwuk Jung
- School of Mechanical Engineering Gwangju Institute of Science and Technology (GIST) 123 Cheomdangwagi‐ro, Buk‐gu Gwangju 61005 Republic of Korea
| | - Kwangsun Song
- School of Mechanical Engineering Gwangju Institute of Science and Technology (GIST) 123 Cheomdangwagi‐ro, Buk‐gu Gwangju 61005 Republic of Korea
| | - Hunpyo Ju
- School of Mechanical Engineering Gwangju Institute of Science and Technology (GIST) 123 Cheomdangwagi‐ro, Buk‐gu Gwangju 61005 Republic of Korea
| | - Hyeongoh Park
- School of Mechanical Engineering Gwangju Institute of Science and Technology (GIST) 123 Cheomdangwagi‐ro, Buk‐gu Gwangju 61005 Republic of Korea
| | - Jung Hyun Han
- School of Life Sciences Gwangju Institute of Science and Technology (GIST) 123 Cheomdangwagi‐ro, Buk‐gu Gwangju 61005 Republic of Korea
| | - Namyun Kim
- School of Mechanical Engineering Gwangju Institute of Science and Technology (GIST) 123 Cheomdangwagi‐ro, Buk‐gu Gwangju 61005 Republic of Korea
| | - Juho Kim
- School of Mechanical Engineering Gwangju Institute of Science and Technology (GIST) 123 Cheomdangwagi‐ro, Buk‐gu Gwangju 61005 Republic of Korea
| | - Jongho Lee
- School of Mechanical Engineering Gwangju Institute of Science and Technology (GIST) 123 Cheomdangwagi‐ro, Buk‐gu Gwangju 61005 Republic of Korea
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He T, Guo X, Lee C. Flourishing energy harvesters for future body sensor network: from single to multiple energy sources. iScience 2021; 24:101934. [PMID: 33392482 PMCID: PMC7773596 DOI: 10.1016/j.isci.2020.101934] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Body sensor network (bodyNET) offers possibilities for future disease diagnosis, preventive health care, rehabilitation, and treatment. However, the eventual realization demands reliable and sustainable power sources. The flourishing energy harvesters (EHs) have provided prominent techniques for practically addressing the concurrent energy issue. Targeting for a specific energy source, wearable EHs with a sole conversion mechanism are well investigated. Hybrid EHs integrating different effects for a single source or multi-sources are attaining growing attention, for they provide another degree of freedom concerning a higher-level energy utility. Merging EHs with other functional electronics, diversified functional self-sustainable systems are developed, paving the way for the accomplishment of bodyNET. This review introduces the evolution of wearable EHs from a single effect to hybridized mechanisms for multiple energy sources and wearable to implantable self-sustainable systems. Last, we provide our perspectives on the future development of hybrid EHs to be more competitive with conventional batteries.
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Affiliation(s)
- Tianyiyi He
- Department of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, 5 Engineering Drive 1, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
| | - Xinge Guo
- Department of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, 5 Engineering Drive 1, Singapore 117608, Singapore
| | - Chengkuo Lee
- Department of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, 5 Engineering Drive 1, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
- NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore 117456, Singapore
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Shi Q, Sun Z, Zhang Z, Lee C. Triboelectric Nanogenerators and Hybridized Systems for Enabling Next-Generation IoT Applications. RESEARCH (WASHINGTON, D.C.) 2021; 2021:6849171. [PMID: 33728410 PMCID: PMC7937188 DOI: 10.34133/2021/6849171] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 12/27/2020] [Indexed: 01/08/2023]
Abstract
In the past few years, triboelectric nanogenerator-based (TENG-based) hybrid generators and systems have experienced a widespread and flourishing development, ranging among almost every aspect of our lives, e.g., from industry to consumer, outdoor to indoor, and wearable to implantable applications. Although TENG technology has been extensively investigated for mechanical energy harvesting, most developed TENGs still have limitations of small output current, unstable power generation, and low energy utilization rate of multisource energies. To harvest the ubiquitous/coexisted energy forms including mechanical, thermal, and solar energy simultaneously, a promising direction is to integrate TENG with other transducing mechanisms, e.g., electromagnetic generator, piezoelectric nanogenerator, pyroelectric nanogenerator, thermoelectric generator, and solar cell, forming the hybrid generator for synergetic single-source and multisource energy harvesting. The resultant TENG-based hybrid generators utilizing integrated transducing mechanisms are able to compensate for the shortcomings of each mechanism and overcome the above limitations, toward achieving a maximum, reliable, and stable output generation. Hence, in this review, we systematically introduce the key technologies of the TENG-based hybrid generators and hybridized systems, in the aspects of operation principles, structure designs, optimization strategies, power management, and system integration. The recent progress of TENG-based hybrid generators and hybridized systems for the outdoor, indoor, wearable, and implantable applications is also provided. Lastly, we discuss our perspectives on the future development trend of hybrid generators and hybridized systems in environmental monitoring, human activity sensation, human-machine interaction, smart home, healthcare, wearables, implants, robotics, Internet of things (IoT), and many other fields.
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Affiliation(s)
- Qiongfeng Shi
- Department of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, Singapore 117583
- Center for Intelligent Sensors and MEMS, National University of Singapore, 4 Engineering Drive 3, Singapore, Singapore 117583
- Smart Systems Institute, National University of Singapore, 3 Research Link, Singapore, Singapore 117602
| | - Zhongda Sun
- Department of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, Singapore 117583
- Center for Intelligent Sensors and MEMS, National University of Singapore, 4 Engineering Drive 3, Singapore, Singapore 117583
- Smart Systems Institute, National University of Singapore, 3 Research Link, Singapore, Singapore 117602
| | - Zixuan Zhang
- Department of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, Singapore 117583
- Center for Intelligent Sensors and MEMS, National University of Singapore, 4 Engineering Drive 3, Singapore, Singapore 117583
- Smart Systems Institute, National University of Singapore, 3 Research Link, Singapore, Singapore 117602
| | - Chengkuo Lee
- Department of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, Singapore 117583
- Center for Intelligent Sensors and MEMS, National University of Singapore, 4 Engineering Drive 3, Singapore, Singapore 117583
- Smart Systems Institute, National University of Singapore, 3 Research Link, Singapore, Singapore 117602
- NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, Singapore 117456
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Tan P, Zou Y, Fan Y, Li Z. Self-powered wearable electronics. WEARABLE TECHNOLOGIES 2020; 1:e5. [PMID: 39050267 PMCID: PMC11265287 DOI: 10.1017/wtc.2020.3] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 06/15/2020] [Accepted: 07/09/2020] [Indexed: 12/12/2022]
Abstract
Wearable electronics are an essential direction for the future development of smart wearables. Among them, the battery life of wearable electronics is a key technology that limits their development. The proposal of self-powered wearable electronics (SWE) provides a promising solution to the problem of long-term stable working of wearable electronics. This review has made a comprehensive summary and analysis of recent advances on SWE from the perspectives of energy, materials, and ergonomics methods. At the same time, some representative research work was introduced in detail. SWE can be divided into energy type SWE and sensor type SWE according to their working types. Both types of SWE are broadly applied in human-machine interaction, motion information monitoring, diagnostics, and therapy systems. Finally, this article summarizes the existing bottlenecks of SWE, and predicts the future development direction of SWE.
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Affiliation(s)
- Puchuan Tan
- Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Chinese, Education Ministry, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, China
| | - Yang Zou
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, China
| | - Yubo Fan
- Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Chinese, Education Ministry, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Zhou Li
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, China
- Center on Nanoenergy Research, School of Physical Science and Technology, Guangxi University, Nanning, China
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Wang H, Wu T, Zeng Q, Lee C. A Review and Perspective for the Development of Triboelectric Nanogenerator (TENG)-Based Self-Powered Neuroprosthetics. MICROMACHINES 2020; 11:E865. [PMID: 32961902 PMCID: PMC7570145 DOI: 10.3390/mi11090865] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 09/10/2020] [Accepted: 09/15/2020] [Indexed: 02/07/2023]
Abstract
Neuroprosthetics have become a powerful toolkit for clinical interventions of various diseases that affect the central nervous or peripheral nervous systems, such as deep brain stimulation (DBS), functional electrical stimulation (FES), and vagus nerve stimulation (VNS), by electrically stimulating different neuronal structures. To prolong the lifetime of implanted devices, researchers have developed power sources with different approaches. Among them, the triboelectric nanogenerator (TENG) is the only one to achieve direct nerve stimulations, showing great potential in the realization of a self-powered neuroprosthetic system in the future. In this review, the current development and progress of the TENG-based stimulation of various kinds of nervous systems are systematically summarized. Then, based on the requirements of the neuroprosthetic system in a real application and the development of current techniques, a perspective of a more sophisticated neuroprosthetic system is proposed, which includes components of a thin-film TENG device with a biocompatible package, an amplification circuit to enhance the output, and a self-powered high-frequency switch to generate high-frequency current pulses for nerve stimulations. Then, we review and evaluate the recent development and progress of each part.
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Affiliation(s)
- Hao Wang
- Institute of Biomedical & Health Engineering, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen 518035, China; (T.W.); (Q.Z.)
| | - Tianzhun Wu
- Institute of Biomedical & Health Engineering, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen 518035, China; (T.W.); (Q.Z.)
- Key Laboratory of Health Bioinformatics, Chinese Academy of Sciences, Shenzhen 518035, China
| | - Qi Zeng
- Institute of Biomedical & Health Engineering, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen 518035, China; (T.W.); (Q.Z.)
| | - Chengkuo Lee
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, Singapore;
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Li J, Long Y, Yang F, Wang X. Respiration-driven triboelectric nanogenerators for biomedical applications. ECOMAT 2020; 2:e12045. [PMID: 34172981 PMCID: PMC7436384 DOI: 10.1002/eom2.12045] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 06/30/2020] [Accepted: 07/18/2020] [Indexed: 05/05/2023]
Abstract
As a fundamental and ubiquitous body motion, respiration offers a large amount of biomechanical energy with an average power up to the Watt level through movements of multiple muscles. The energy from respiration featured with excellent stability, accessibility and continuality inspires the design and engineering of biomechanical energy harvesting devices, such as triboelectric nanogenerators (TENGs), to realize human-powered electronics. This review article is thus dedicated to the emerging respiration-driven TENG technology, covering fundamentals, applications, and perspectives. Specifically, the human breathing mechanics are first introduced serving as the base for the developments of TENG devices with different configurations. Biomedical applications including electrical energy generation, healthcare monitoring, air filtration, gas sensing, electrostimulation, and powering implantable medical devices are then analyzed focusing on the design-application relationships. At last, current developments are summarized and critical challenges for driving these intriguing developments toward practical applications are discussed together with promising solutions.
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Affiliation(s)
- Jun Li
- Department of Materials Science and EngineeringUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Yin Long
- Department of Materials Science and EngineeringUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Fan Yang
- Department of Materials Science and EngineeringUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Xudong Wang
- Department of Materials Science and EngineeringUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
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Dong B, Shi Q, He T, Zhu S, Zhang Z, Sun Z, Ma Y, Kwong D, Lee C. Wearable Triboelectric/Aluminum Nitride Nano-Energy-Nano-System with Self-Sustainable Photonic Modulation and Continuous Force Sensing. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2020; 7:1903636. [PMID: 32775150 PMCID: PMC7404172 DOI: 10.1002/advs.201903636] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 02/23/2020] [Indexed: 05/19/2023]
Abstract
Wearable photonics offer a promising platform to complement the thriving complex wearable electronics system by providing high-speed data transmission channels and robust optical sensing paths. Regarding the realization of photonic computation and tunable (de)multiplexing functions based on system-level integration of abundant photonic modulators, it is challenging to reduce the overwhelming power consumption in traditional current-based silicon photonic modulators. This issue is addressed by integrating voltage-based aluminum nitride (AlN) modulator and textile triboelectric nanogenerator (T-TENG) on a wearable platform to form a nano-energy-nano-system (NENS). The T-TENG transduces the mechanical stimulations into electrical signals based on the coupling of triboelectrification and electrostatic induction. The self-generated high-voltage from the T-TENG is applied to the AlN modulator and boosts its modulation efficiency regardless of AlN's moderate Pockels effect. Complementarily, the AlN modulator's capacitive nature enables the open-circuit operation mode of T-TENG, providing the integrated NENS with continuous force sensing capability which is notably uninfluenced by operation speeds. Furthermore, a physical model is proposed to describe the coupled AlN modulator/T-TENG system. With the enhanced photonic modulation and the open-circuit operation mode enabled by synergies between the AlN modulator and the T-TENG, optical Morse code transmission and continuous human motion monitoring are demonstrated for practical wearable applications.
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Affiliation(s)
- Bowei Dong
- Department of Electrical and Computer EngineeringNational University of Singapore4 Engineering Drive 3Singapore117576Singapore
- Center for Intelligent Sensors and MEMSNational University of Singapore5 Engineering Drive 1Singapore117608Singapore
- NUS Graduate School for Integrative Science and EngineeringNational University of Singapore21 Lower Kent RidgeSingapore119077Singapore
| | - Qiongfeng Shi
- Department of Electrical and Computer EngineeringNational University of Singapore4 Engineering Drive 3Singapore117576Singapore
- Center for Intelligent Sensors and MEMSNational University of Singapore5 Engineering Drive 1Singapore117608Singapore
| | - Tianyiyi He
- Department of Electrical and Computer EngineeringNational University of Singapore4 Engineering Drive 3Singapore117576Singapore
- Center for Intelligent Sensors and MEMSNational University of Singapore5 Engineering Drive 1Singapore117608Singapore
| | - Shiyang Zhu
- Institute of MicroelectronicsAgency for ScienceTechnology and Research2 Fusionopolis WaySingapore138634Singapore
| | - Zixuan Zhang
- Department of Electrical and Computer EngineeringNational University of Singapore4 Engineering Drive 3Singapore117576Singapore
- Center for Intelligent Sensors and MEMSNational University of Singapore5 Engineering Drive 1Singapore117608Singapore
| | - Zhongda Sun
- Department of Electrical and Computer EngineeringNational University of Singapore4 Engineering Drive 3Singapore117576Singapore
- Center for Intelligent Sensors and MEMSNational University of Singapore5 Engineering Drive 1Singapore117608Singapore
| | - Yiming Ma
- Department of Electrical and Computer EngineeringNational University of Singapore4 Engineering Drive 3Singapore117576Singapore
- Center for Intelligent Sensors and MEMSNational University of Singapore5 Engineering Drive 1Singapore117608Singapore
| | - Dim‐Lee Kwong
- Department of Electrical and Computer EngineeringNational University of Singapore4 Engineering Drive 3Singapore117576Singapore
- NUS Graduate School for Integrative Science and EngineeringNational University of Singapore21 Lower Kent RidgeSingapore119077Singapore
- Institute of MicroelectronicsAgency for ScienceTechnology and Research2 Fusionopolis WaySingapore138634Singapore
| | - Chengkuo Lee
- Department of Electrical and Computer EngineeringNational University of Singapore4 Engineering Drive 3Singapore117576Singapore
- Center for Intelligent Sensors and MEMSNational University of Singapore5 Engineering Drive 1Singapore117608Singapore
- NUS Graduate School for Integrative Science and EngineeringNational University of Singapore21 Lower Kent RidgeSingapore119077Singapore
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Li JT, Stanford MG, Chen W, Presutti SE, Tour JM. Laminated Laser-Induced Graphene Composites. ACS NANO 2020; 14:7911-7919. [PMID: 32441916 DOI: 10.1021/acsnano.0c02835] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Laser-induced graphene (LIG) is a porous graphene foam generated by lasing carbon-based precursors. Compositing LIG expands the spectrum of applications for which the material may be used. Techniques for scale-up of LIG composites will be essential as the technology approaches commercialization. Roll-to-roll processing is of special interest, as precisely controlled patterning can be performed in conjunction with continuous formation of composites. Here, we demonstrate a simple lamination compositing method that is compatible with roll-to-roll processing and yields functional, patterned, and multilayered LIG composites with various thermoplastic films. Multiple lamination steps are used to encapsulate LIG within composites. We also demonstrate several applications for LIG that have been enabled by the lamination compositing technique. These include robust flexible electrodes generated through laminating copper foil strips into the LIG composite, LIG-based triboelectric nanogenerators to harvest waste mechanical energy, antimicrobial LIG composite bandages with varying hydrophobicity, and LIG puncture detectors.
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Affiliation(s)
| | | | | | - Steven E Presutti
- Department of Engineering, San Jacinto College South, 13735 Beamer Road, Houston, Texas 77089, United States
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Wen F, Sun Z, He T, Shi Q, Zhu M, Zhang Z, Li L, Zhang T, Lee C. Machine Learning Glove Using Self-Powered Conductive Superhydrophobic Triboelectric Textile for Gesture Recognition in VR/AR Applications. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2020; 7:2000261. [PMID: 32714750 PMCID: PMC7375248 DOI: 10.1002/advs.202000261] [Citation(s) in RCA: 119] [Impact Index Per Article: 29.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 02/22/2020] [Indexed: 05/18/2023]
Abstract
The rapid progress of Internet of things (IoT) technology raises an imperative demand on human machine interfaces (HMIs) which provide a critical linkage between human and machines. Using a glove as an intuitive and low-cost HMI can expediently track the motions of human fingers, resulting in a straightforward communication media of human-machine interactions. When combining several triboelectric textile sensors and proper machine learning technique, it has great potential to realize complex gesture recognition with the minimalist-designed glove for the comprehensive control in both real and virtual space. However, humidity or sweat may negatively affect the triboelectric output as well as the textile itself. Hence, in this work, a facile carbon nanotubes/thermoplastic elastomer (CNTs/TPE) coating approach is investigated in detail to achieve superhydrophobicity of the triboelectric textile for performance improvement. With great energy harvesting and human motion sensing capabilities, the glove using the superhydrophobic textile realizes a low-cost and self-powered interface for gesture recognition. By leveraging machine learning technology, various gesture recognition tasks are done in real time by using gestures to achieve highly accurate virtual reality/augmented reality (VR/AR) controls including gun shooting, baseball pitching, and flower arrangement, with minimized effect from sweat during operation.
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Affiliation(s)
- Feng Wen
- Department of Electrical & Computer EngineeringNational University of Singapore4 Engineering Drive 3Singapore117576Singapore
- National University of Singapore Suzhou Research Institute (NUSRI)Suzhou Industrial ParkSuzhou215123China
- Center for Intelligent Sensors and MEMSNational University of Singapore5 Engineering Drive 1Singapore117608Singapore
- Hybrid Integrated Flexible Electronic Systems (HIFES)5 Engineering Drive 1Singapore117608Singapore
| | - Zhongda Sun
- Department of Electrical & Computer EngineeringNational University of Singapore4 Engineering Drive 3Singapore117576Singapore
- National University of Singapore Suzhou Research Institute (NUSRI)Suzhou Industrial ParkSuzhou215123China
- Center for Intelligent Sensors and MEMSNational University of Singapore5 Engineering Drive 1Singapore117608Singapore
- Hybrid Integrated Flexible Electronic Systems (HIFES)5 Engineering Drive 1Singapore117608Singapore
| | - Tianyiyi He
- Department of Electrical & Computer EngineeringNational University of Singapore4 Engineering Drive 3Singapore117576Singapore
- National University of Singapore Suzhou Research Institute (NUSRI)Suzhou Industrial ParkSuzhou215123China
- Center for Intelligent Sensors and MEMSNational University of Singapore5 Engineering Drive 1Singapore117608Singapore
- Hybrid Integrated Flexible Electronic Systems (HIFES)5 Engineering Drive 1Singapore117608Singapore
| | - Qiongfeng Shi
- Department of Electrical & Computer EngineeringNational University of Singapore4 Engineering Drive 3Singapore117576Singapore
- National University of Singapore Suzhou Research Institute (NUSRI)Suzhou Industrial ParkSuzhou215123China
- Center for Intelligent Sensors and MEMSNational University of Singapore5 Engineering Drive 1Singapore117608Singapore
- Hybrid Integrated Flexible Electronic Systems (HIFES)5 Engineering Drive 1Singapore117608Singapore
| | - Minglu Zhu
- Department of Electrical & Computer EngineeringNational University of Singapore4 Engineering Drive 3Singapore117576Singapore
- National University of Singapore Suzhou Research Institute (NUSRI)Suzhou Industrial ParkSuzhou215123China
- Center for Intelligent Sensors and MEMSNational University of Singapore5 Engineering Drive 1Singapore117608Singapore
- Hybrid Integrated Flexible Electronic Systems (HIFES)5 Engineering Drive 1Singapore117608Singapore
| | - Zixuan Zhang
- Department of Electrical & Computer EngineeringNational University of Singapore4 Engineering Drive 3Singapore117576Singapore
- National University of Singapore Suzhou Research Institute (NUSRI)Suzhou Industrial ParkSuzhou215123China
- Center for Intelligent Sensors and MEMSNational University of Singapore5 Engineering Drive 1Singapore117608Singapore
- Hybrid Integrated Flexible Electronic Systems (HIFES)5 Engineering Drive 1Singapore117608Singapore
| | - Lianhui Li
- i‐Lab Suzhou Institute of Nano‐Tech and Nano‐BionicsChinese Academy of Sciences (CAS)Suzhou215123China
| | - Ting Zhang
- i‐Lab Suzhou Institute of Nano‐Tech and Nano‐BionicsChinese Academy of Sciences (CAS)Suzhou215123China
| | - Chengkuo Lee
- Department of Electrical & Computer EngineeringNational University of Singapore4 Engineering Drive 3Singapore117576Singapore
- National University of Singapore Suzhou Research Institute (NUSRI)Suzhou Industrial ParkSuzhou215123China
- Center for Intelligent Sensors and MEMSNational University of Singapore5 Engineering Drive 1Singapore117608Singapore
- Hybrid Integrated Flexible Electronic Systems (HIFES)5 Engineering Drive 1Singapore117608Singapore
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Li Z, Zheng Q, Wang ZL, Li Z. Nanogenerator-Based Self-Powered Sensors for Wearable and Implantable Electronics. RESEARCH (WASHINGTON, D.C.) 2020; 2020:8710686. [PMID: 32259107 PMCID: PMC7085499 DOI: 10.34133/2020/8710686] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 01/29/2020] [Indexed: 12/19/2022]
Abstract
Wearable and implantable electronics (WIEs) are more and more important and attractive to the public, and they have had positive influences on all aspects of our lives. As a bridge between wearable electronics and their surrounding environment and users, sensors are core components of WIEs and determine the implementation of their many functions. Although the existing sensor technology has evolved to a very advanced level with the rapid progress of advanced materials and nanotechnology, most of them still need external power supply, like batteries, which could cause problems that are difficult to track, recycle, and miniaturize, as well as possible environmental pollution and health hazards. In the past decades, based upon piezoelectric, pyroelectric, and triboelectric effect, various kinds of nanogenerators (NGs) were proposed which are capable of responding to a variety of mechanical movements, such as breeze, body drive, muscle stretch, sound/ultrasound, noise, mechanical vibration, and blood flow, and they had been widely used as self-powered sensors and micro-nanoenergy and blue energy harvesters. This review focuses on the applications of self-powered generators as implantable and wearable sensors in health monitoring, biosensor, human-computer interaction, and other fields. The existing problems and future prospects are also discussed.
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Affiliation(s)
- Zhe Li
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qiang Zheng
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China
| | - Zhong Lin Wang
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Center on Nanoenergy Research, School of Physical Science and Technology, Guangxi University, Nanning 530004, China
- School of Material Science and Engineering Georgia Institute of Technology Atlanta, GA 30332-0245, USA
| | - Zhou Li
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Center on Nanoenergy Research, School of Physical Science and Technology, Guangxi University, Nanning 530004, China
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46
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He T, Wang H, Wang J, Tian X, Wen F, Shi Q, Ho JS, Lee C. Self-Sustainable Wearable Textile Nano-Energy Nano-System (NENS) for Next-Generation Healthcare Applications. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2019; 6:1901437. [PMID: 31871857 PMCID: PMC6918113 DOI: 10.1002/advs.201901437] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Revised: 07/20/2019] [Indexed: 05/03/2023]
Abstract
Wearable electronics presage a future in which healthcare monitoring and rehabilitation are enabled beyond the limitation of hospitals, and self-powered sensors and energy generators are key prerequisites for a self-sustainable wearable system. A triboelectric nanogenerator (TENG) based on textiles can be an optimal option for scavenging low-frequency and irregular waste energy from body motions as a power source for self-sustainable systems. However, the low output of most textile-based TENGs (T-TENGs) has hindered its way toward practical applications. In this work, a facile and universal strategy to enhance the triboelectric output is proposed by integration of a narrow-gap TENG textile with a high-voltage diode and a textile-based switch. The closed-loop current of the diode-enhanced textile-based TENG (D-T-TENG) can be increased by 25 times. The soft, flexible, and thin characteristics of the D-T-TENG enable a moderate output even as it is randomly scrunched. Furthermore, the enhanced current can directly stimulate rat muscle and nerve. In addition, the capability of the D-T-TENG as a practical power source for wearable sensors is demonstrated by powering Bluetooth sensors embedded to clothes for humidity and temperature sensing. Looking forward, the D-T-TENG renders an effective approach toward a self-sustainable wearable textile nano-energy nano-system for next-generation healthcare applications.
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Affiliation(s)
- Tianyiyi He
- Department of Electrical & Computer Engineering National University of Singapore 4 Engineering Drive 3 117576 Singapore Singapore
- National University of Singapore Suzhou Research Institute (NUSRI) Suzhou Industrial Park Suzhou 215123 China
- The N.1 Institute for Health National University of Singapore 28 Medical Drive, #05-COR 117456 Singapore Singapore
- Centre for Intelligent Sensors and MEMS National University of Singapore 4 Engineering Drive 3 117576 Singapore Singapore
- Hybrid Integrated Flexible Electronic Systems (HIFES) 5 Engineering Drive 1 117608 Singapore Singapore
| | - Hao Wang
- Department of Electrical & Computer Engineering National University of Singapore 4 Engineering Drive 3 117576 Singapore Singapore
- National University of Singapore Suzhou Research Institute (NUSRI) Suzhou Industrial Park Suzhou 215123 China
- The N.1 Institute for Health National University of Singapore 28 Medical Drive, #05-COR 117456 Singapore Singapore
- Centre for Intelligent Sensors and MEMS National University of Singapore 4 Engineering Drive 3 117576 Singapore Singapore
- Hybrid Integrated Flexible Electronic Systems (HIFES) 5 Engineering Drive 1 117608 Singapore Singapore
| | - Jiahui Wang
- Department of Electrical & Computer Engineering National University of Singapore 4 Engineering Drive 3 117576 Singapore Singapore
- National University of Singapore Suzhou Research Institute (NUSRI) Suzhou Industrial Park Suzhou 215123 China
- The N.1 Institute for Health National University of Singapore 28 Medical Drive, #05-COR 117456 Singapore Singapore
- Centre for Intelligent Sensors and MEMS National University of Singapore 4 Engineering Drive 3 117576 Singapore Singapore
- Hybrid Integrated Flexible Electronic Systems (HIFES) 5 Engineering Drive 1 117608 Singapore Singapore
| | - Xi Tian
- Department of Electrical & Computer Engineering National University of Singapore 4 Engineering Drive 3 117576 Singapore Singapore
| | - Feng Wen
- Department of Electrical & Computer Engineering National University of Singapore 4 Engineering Drive 3 117576 Singapore Singapore
- National University of Singapore Suzhou Research Institute (NUSRI) Suzhou Industrial Park Suzhou 215123 China
- The N.1 Institute for Health National University of Singapore 28 Medical Drive, #05-COR 117456 Singapore Singapore
- Centre for Intelligent Sensors and MEMS National University of Singapore 4 Engineering Drive 3 117576 Singapore Singapore
- Hybrid Integrated Flexible Electronic Systems (HIFES) 5 Engineering Drive 1 117608 Singapore Singapore
| | - Qiongfeng Shi
- Department of Electrical & Computer Engineering National University of Singapore 4 Engineering Drive 3 117576 Singapore Singapore
- National University of Singapore Suzhou Research Institute (NUSRI) Suzhou Industrial Park Suzhou 215123 China
- The N.1 Institute for Health National University of Singapore 28 Medical Drive, #05-COR 117456 Singapore Singapore
- Centre for Intelligent Sensors and MEMS National University of Singapore 4 Engineering Drive 3 117576 Singapore Singapore
- Hybrid Integrated Flexible Electronic Systems (HIFES) 5 Engineering Drive 1 117608 Singapore Singapore
| | - John S Ho
- Department of Electrical & Computer Engineering National University of Singapore 4 Engineering Drive 3 117576 Singapore Singapore
| | - Chengkuo Lee
- Department of Electrical & Computer Engineering National University of Singapore 4 Engineering Drive 3 117576 Singapore Singapore
- National University of Singapore Suzhou Research Institute (NUSRI) Suzhou Industrial Park Suzhou 215123 China
- The N.1 Institute for Health National University of Singapore 28 Medical Drive, #05-COR 117456 Singapore Singapore
- Centre for Intelligent Sensors and MEMS National University of Singapore 4 Engineering Drive 3 117576 Singapore Singapore
- Hybrid Integrated Flexible Electronic Systems (HIFES) 5 Engineering Drive 1 117608 Singapore Singapore
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