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Wu J, Lin X, Yang C, Yang S, Liu C, Cao Y. Wearable Sensors Based on Miniaturized High-Performance Hybrid Nanogenerator for Medical Health Monitoring. BIOSENSORS 2024; 14:361. [PMID: 39194590 DOI: 10.3390/bios14080361] [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: 05/10/2024] [Revised: 07/17/2024] [Accepted: 07/18/2024] [Indexed: 08/29/2024]
Abstract
Wearable sensors are important components, converting mechanical vibration energy into electrical signals or other forms of output, which are widely used in healthcare, disaster warning, and transportation. However, the reliance on batteries limits the portability of wearable sensors and hinders their application in the field of Internet of Things. To solve this problem, we designed a miniaturized high-performance hybrid nanogenerator (MHP-HNG), which combined the functions of triboelectric sensing and electromagnetic power generation as well as the advantages of miniaturization. By optimizing the design of TENG and EMG, the wearable sensor achieved a voltage output of 14.14 V and a power output of 49 mW. Based on the wireless optical communication and wireless communication technologies, the wearable sensor achieved the integration of sensing, communication, and self-powered function, which is expected to realize health monitoring, emergency warning, and rehabilitation assistance, and further extend the potential application value in the medical field.
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Affiliation(s)
- Jinjing Wu
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Xiaobo Lin
- College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - Chengkai Yang
- School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China
| | - Sirui Yang
- School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China
| | - Chenning Liu
- School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China
| | - Yuanyuan Cao
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, China
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Jia X, Zhang M, Zhang Y, Fu Y, Sheng N, Chen S, Wang H, Du Y. Enhanced Selective Ion Transport in Highly Charged Bacterial Cellulose/Boron Nitride Composite Membranes for Thermo-Osmotic Energy Harvesting. NANO LETTERS 2024; 24:2218-2225. [PMID: 38277614 DOI: 10.1021/acs.nanolett.3c04343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/28/2024]
Abstract
Significant untapped energy exists within low-grade heat sources and salinity gradients. Traditional nanofluidic membranes exhibit inherent limitations, including low ion selectivity, high internal resistance, reliance on nonrenewable resources, and instability in aqueous solutions, invariably constraining their practical application. Here, an innovative composite membrane-based nanofluidic system is reported, involving the strategy of integrating tailor-modified bacterial nanofibers with boron nitride nanosheets, enabling high surface charge densities while maintaining a delicate balance between ion selectivity and permeability, ultimately facilitating effective thermo-osmotic energy harvesting. The device exhibits an impressive output power density of 10 W m-2 with artificial seawater and river water at a 50 K temperature gradient. Furthermore, it demonstrates robust power density stability under prolonged exposure to salinity gradients or even at elevated temperatures. This work opens new avenues for the development of nanofluidic systems utilizing composite materials and presents promising solutions for low-grade heat recovery and osmotic energy harvesting.
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Affiliation(s)
- Xiwei Jia
- School of Materials Science and Engineering, Shanghai Institute of Technology, Shanghai 201418, P. R. China
| | - Minghao Zhang
- School of Materials Science and Engineering, Shanghai Institute of Technology, Shanghai 201418, P. R. China
| | - Yating Zhang
- School of Materials Science and Engineering, Shanghai Institute of Technology, Shanghai 201418, P. R. China
| | - Yuyang Fu
- School of Materials Science and Engineering, Shanghai Institute of Technology, Shanghai 201418, P. R. China
| | - Nan Sheng
- School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P. R. China
- Shanghai Shipbuilding Technology Research Institute, Shanghai 200032, P. R. China
| | - Shiyan Chen
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, P. R. China
| | - Huaping Wang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, P. R. China
| | - Yong Du
- School of Materials Science and Engineering, Shanghai Institute of Technology, Shanghai 201418, P. R. China
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Zhang H, Shen Q, Zheng P, Wang H, Zou R, Zhang Z, Pan Y, Zhi JY, Xiang ZR. Harvesting Inertial Energy and Powering Wearable Devices: A Review. SMALL METHODS 2024; 8:e2300771. [PMID: 37853661 DOI: 10.1002/smtd.202300771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 09/13/2023] [Indexed: 10/20/2023]
Abstract
Amidst the swift progression of microelectronics and Internet of Things technology, wearable devices are gradually gaining ground in the domains of human health monitoring. Recently, human bioenergy harvesting has emerged as a plausible alternative to batteries. This paper delves into harvesting human inertial energy that stimulates inertial masses through human motion and then transmutes the motion of the inertial masses into electrical energy. The inertial energy harvester is better suited for low-frequency and irregular human motion. This review first identifies the sources of human motion excitation that are compatible with inertial energy harvesters and then provides a summary of the operating principles and the comparisons of the commonly used energy conversion mechanisms, including electromagnetic, piezoelectric, and triboelectric transducers. The review thoroughly summarizes the latest advancements in human inertial energy-harvesting technology that are categorized and grouped based on their excitation sources and mechanical modulation methods. In addition, the review outlines the applications of inertial energy harvesters in powering wearable devices, medical health monitoring, and as mobile power sources. Finally, the challenges faced by inertial energy-harvesting technologies are discussed, and the review provides a perspective on the potential developments in the field.
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Affiliation(s)
- Hexiang Zhang
- School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, P. R. China
- Yibin Research Institute, Southwest Jiaotong University, Yibin, 64000, P. R. China
| | - Qianhui Shen
- School of Design, Southwest Jiaotong University, Chengdu, 610031, P. R. China
| | - Peng Zheng
- School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, P. R. China
- Yibin Research Institute, Southwest Jiaotong University, Yibin, 64000, P. R. China
| | - Hao Wang
- School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, P. R. China
- Yibin Research Institute, Southwest Jiaotong University, Yibin, 64000, P. R. China
| | - Rui Zou
- School of Design, Southwest Jiaotong University, Chengdu, 610031, P. R. China
| | - Zutao Zhang
- School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, P. R. China
| | - Yajia Pan
- School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, P. R. China
| | - Jin-Yi Zhi
- School of Design, Southwest Jiaotong University, Chengdu, 610031, P. R. China
| | - Ze-Rui Xiang
- School of Design, Southwest Jiaotong University, Chengdu, 610031, P. R. China
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Wu T, Deng H, Sun Z, Zhang X, Lee C, Zhang X. Intelligent soft robotic fingers with multi-modality perception ability. iScience 2023; 26:107249. [PMID: 37502261 PMCID: PMC10368832 DOI: 10.1016/j.isci.2023.107249] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 05/15/2023] [Accepted: 06/26/2023] [Indexed: 07/29/2023] Open
Abstract
In the context of industry 4.0, automatic sorting is becoming prevalent in production lines. Herein, we developed a bionic sensing system to achieve real-time object recognition. The system consists of 9 single-layer triboelectric nanogenerators (SL-TENGs) as touch sensors and 3 comb-shaped TENGs (CS-TENGs) as bending sensors, with a sensitivity of 110 V/kPa and stable output after 20,000 press cycles. These sensors were attached to a manipulator composed of three soft actuators, serving as soft robotic fingers. An enhanced electrical output of these sensors was achieved successfully, demonstrating their feasibility in detecting grasping location, contact pressure, and bending curvature. A one-dimensional convolutional neural network (1D-CNN) with 98.96% accuracy extracted information from the sensors, enabling the manipulator to serve as an intelligent sensing system with multi-modality perception ability. This robotic manipulator successfully integrated TENG-based self-powered sensors, soft actuators, and artificial intelligence, demonstrating the potential for future digital twin applications, particularly in automatic component sorting.
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Affiliation(s)
- Tongjing Wu
- School of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, Singapore
| | - Haitao Deng
- School of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Zhongda Sun
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, Singapore
| | - Xinran Zhang
- School of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Chengkuo Lee
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, Singapore
| | - Xiaosheng Zhang
- School of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
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Shi Q, Zhu J. Special Issue: Advance in Energy Harvesters/Nanogenerators and Self-Powered Sensors. NANOMATERIALS (BASEL, SWITZERLAND) 2022; 12:3167. [PMID: 36144955 PMCID: PMC9505210 DOI: 10.3390/nano12183167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 09/09/2022] [Indexed: 06/16/2023]
Abstract
Internet of things (IoT) technologies are greatly promoted by the rapidly developed 5G-and-beyond networks, which have spawned diversified applications in the new era including smart homes, digital health, sports training, robotics, human-machine interaction, metaverse, smart manufacturing and industry 4 [...].
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Affiliation(s)
- Qiongfeng Shi
- Joint International Research Laboratory of Information Display and Visualization, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, China
| | - Jianxiong Zhu
- School of Mechanical Engineering, Southeast University, Nanjing 211189, China
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Delgado-Alvarado E, Elvira-Hernández EA, Hernández-Hernández J, Huerta-Chua J, Vázquez-Leal H, Martínez-Castillo J, García-Ramírez PJ, Herrera-May AL. Recent Progress of Nanogenerators for Green Energy Harvesting: Performance, Applications, and Challenges. NANOMATERIALS 2022; 12:nano12152549. [PMID: 35893517 PMCID: PMC9331423 DOI: 10.3390/nano12152549] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 07/20/2022] [Accepted: 07/21/2022] [Indexed: 01/25/2023]
Abstract
Natural sources of green energy include sunshine, water, biomass, geothermal heat, and wind. These energies are alternate forms of electrical energy that do not rely on fossil fuels. Green energy is environmentally benign, as it avoids the generation of greenhouse gases and pollutants. Various systems and equipment have been utilized to gather natural energy. However, most technologies need a huge amount of infrastructure and expensive equipment in order to power electronic gadgets, smart sensors, and wearable devices. Nanogenerators have recently emerged as an alternative technique for collecting energy from both natural and artificial sources, with significant benefits such as light weight, low-cost production, simple operation, easy signal processing, and low-cost materials. These nanogenerators might power electronic components and wearable devices used in a variety of applications such as telecommunications, the medical sector, the military and automotive industries, and internet of things (IoT) devices. We describe new research on the performance of nanogenerators employing several green energy acquisition processes such as piezoelectric, electromagnetic, thermoelectric, and triboelectric. Furthermore, the materials, applications, challenges, and future prospects of several nanogenerators are discussed.
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Affiliation(s)
- Enrique Delgado-Alvarado
- Micro and Nanotechnology Research Center, Universidad Veracruzana, Boca del Río 94294, VER, Mexico; (E.D.-A.); (E.A.E.-H.); (J.M.-C.)
- Departamento de Investigación, Instituto Tecnológico Superior de Poza Rica, Tecnológico Nacional de México, Poza Riza 93230, VER, Mexico;
| | - Ernesto A. Elvira-Hernández
- Micro and Nanotechnology Research Center, Universidad Veracruzana, Boca del Río 94294, VER, Mexico; (E.D.-A.); (E.A.E.-H.); (J.M.-C.)
| | - José Hernández-Hernández
- Facultad de Ingeniería Mecánica y Ciencias Navales, Universidad Veracruzana, Boca del Río 94294, VER, Mexico
- Maestría en Ingeniería Aplicada, Facultad de Ingeniería de la Construcción y el Hábitat, Universidad Veracruzana, Boca del Río 94294, VER, Mexico
- Correspondence: (J.H.-H.); (A.L.H.-M.); Tel.: +52-2297752000 (J.H.-H.)
| | - Jesús Huerta-Chua
- Departamento de Investigación, Instituto Tecnológico Superior de Poza Rica, Tecnológico Nacional de México, Poza Riza 93230, VER, Mexico;
| | - Héctor Vázquez-Leal
- Facultad de Instrumentación Electrónica, Universidad Veracruzana, Boca del Río 94294, VER, Mexico;
| | - Jaime Martínez-Castillo
- Micro and Nanotechnology Research Center, Universidad Veracruzana, Boca del Río 94294, VER, Mexico; (E.D.-A.); (E.A.E.-H.); (J.M.-C.)
| | | | - Agustín L. Herrera-May
- Micro and Nanotechnology Research Center, Universidad Veracruzana, Boca del Río 94294, VER, Mexico; (E.D.-A.); (E.A.E.-H.); (J.M.-C.)
- Maestría en Ingeniería Aplicada, Facultad de Ingeniería de la Construcción y el Hábitat, Universidad Veracruzana, Boca del Río 94294, VER, Mexico
- Correspondence: (J.H.-H.); (A.L.H.-M.); Tel.: +52-2297752000 (J.H.-H.)
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