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Zhang S, He Z, Zhao W, Liu C, Zhou S, Ibrahim OO, Wang C, Wang Q. Innovative Material-Based Wearable Non-Invasive Electrochemical Sweat Sensors towards Biomedical Applications. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:857. [PMID: 38786813 PMCID: PMC11124380 DOI: 10.3390/nano14100857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 04/26/2024] [Accepted: 05/09/2024] [Indexed: 05/25/2024]
Abstract
Sweat is an accessible biofluid that provides useful physiological information about the body's biomolecular state and systemic health. Wearable sensors possess various advantageous features, such as lightweight design, wireless connectivity, and compatibility with human skin, that make them suitable for continuous monitoring. Wearable electrochemical sweat sensors can diagnose diseases and monitor health conditions by detecting biomedical signal changes in sweat. This paper discusses the state-of-the-art research in the field of wearable sweat sensors and the materials used in their construction. It covers biomarkers present in sweat, sensing modalities, techniques for sweat collection, and ways to power these sensors. Innovative materials are categorized into three subcategories: sweat collection, sweat detection, and self-powering. These include substrates for sensor fabrication, analyte detection electrodes, absorbent patches, microfluidic devices, and self-powered devices. This paper concludes by forecasting future research trends and prospects in material-based wearable non-invasive sweat sensors.
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Affiliation(s)
- Sheng Zhang
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China; (S.Z.); (Z.H.); (W.Z.); (C.L.); (S.Z.); (O.O.I.)
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
- Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo 315100, China
- School of Biological and Chemical Engineering, Ningbo Tech University, Ningbo 315100, China
| | - Zhaotao He
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China; (S.Z.); (Z.H.); (W.Z.); (C.L.); (S.Z.); (O.O.I.)
- Polytechnic Institute, Zhejiang University, Hangzhou 310015, China
| | - Wenjie Zhao
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China; (S.Z.); (Z.H.); (W.Z.); (C.L.); (S.Z.); (O.O.I.)
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Chen Liu
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China; (S.Z.); (Z.H.); (W.Z.); (C.L.); (S.Z.); (O.O.I.)
- Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo 315100, China
| | - Shulan Zhou
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China; (S.Z.); (Z.H.); (W.Z.); (C.L.); (S.Z.); (O.O.I.)
- Polytechnic Institute, Zhejiang University, Hangzhou 310015, China
| | - Oresegun Olakunle Ibrahim
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China; (S.Z.); (Z.H.); (W.Z.); (C.L.); (S.Z.); (O.O.I.)
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Chunge Wang
- School of Mechanical and Energy Engineering, Ningbo Tech University, Ningbo 315100, China;
| | - Qianqian Wang
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China; (S.Z.); (Z.H.); (W.Z.); (C.L.); (S.Z.); (O.O.I.)
- School of Biological and Chemical Engineering, Ningbo Tech University, Ningbo 315100, China
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Duleba A, Pugachev M, Blumenau M, Martanov S, Naumov M, Shupletsov A, Kuntsevich A. Inert-Atmosphere Microfabrication Technology for 2D Materials and Heterostructures. MICROMACHINES 2023; 15:94. [PMID: 38258213 PMCID: PMC11154319 DOI: 10.3390/mi15010094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 12/28/2023] [Accepted: 12/29/2023] [Indexed: 01/24/2024]
Abstract
Most 2D materials are unstable under ambient conditions. Assembly of van der Waals heterostructures in the inert atmosphere of the glove box with ex situ lithography partially solves the problem of device fabrication out of unstable materials. In our paper, we demonstrate an approach to the next-generation inert-atmosphere (nitrogen, <20 ppm oxygen content) fabrication setup, including optical contact mask lithography with a 2 μm resolution, metal evaporation, lift-off and placement of the sample to the cryostat for electric measurements in the same inert atmosphere environment. We consider basic construction principles, budget considerations, and showcase the fabrication and subsequent degradation of black-phosphorous-based structures within weeks. The proposed solutions are surprisingly compact and inexpensive, making them feasible for implementation in numerous 2D materials laboratories.
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Affiliation(s)
- Aliaksandr Duleba
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991, Russia; (A.D.); (M.P.); (M.B.); (S.M.); (A.S.)
| | - Mikhail Pugachev
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991, Russia; (A.D.); (M.P.); (M.B.); (S.M.); (A.S.)
| | - Mark Blumenau
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991, Russia; (A.D.); (M.P.); (M.B.); (S.M.); (A.S.)
| | - Sergey Martanov
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991, Russia; (A.D.); (M.P.); (M.B.); (S.M.); (A.S.)
| | - Mark Naumov
- Dukhov Research Institute of Automatics (VNIIA), Moscow 127055, Russia;
| | - Aleksey Shupletsov
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991, Russia; (A.D.); (M.P.); (M.B.); (S.M.); (A.S.)
| | - Aleksandr Kuntsevich
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991, Russia; (A.D.); (M.P.); (M.B.); (S.M.); (A.S.)
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Shu J, Wang J, Li Z, Tong KYR. Effects of Slit Edge Notches on Mechanical Properties of 3D-Printed PA12 Nylon Kirigami Specimens. Polymers (Basel) 2023; 15:3082. [PMID: 37514471 PMCID: PMC10383772 DOI: 10.3390/polym15143082] [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: 05/31/2023] [Revised: 07/14/2023] [Accepted: 07/15/2023] [Indexed: 07/30/2023] Open
Abstract
Kirigami structures, a Japanese paper-cutting art form, has been widely adopted in engineering design, including robotics, biomedicine, energy harvesting, and sensing. This study investigated the effects of slit edge notches on the mechanical properties, particularly the tensile stiffness, of 3D-printed PA12 nylon kirigami specimens. Thirty-five samples were designed with various notch sizes and shapes and printed using a commercial 3D printer with multi-jet fusion (MJF) technique. Finite element analysis (FEA) was employed to determine the mechanical properties of the samples computationally. The results showed that the stiffness of the kirigami samples is positively correlated with the number of edges in the notch shape and quadratically negatively correlated with the notch area of the samples. The mathematical relationship between the stretching tensile stiffness of the samples and their notch area was established and explained from an energy perspective. The relationship established in this study can help fine-tune the stiffness of kirigami-inspired structures without altering the primary parameters of kirigami samples. With the rapid fabrication method (e.g., 3D printing technique), the kirigami samples with suitable mechanical properties can be potentially applied to planar springs for hinge structures or energy-absorbing/harvesting structures. These findings will provide valuable insights into the development and optimization of kirigami-inspired structures for various applications in the future.
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Affiliation(s)
- Jing Shu
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR 999077, China
| | - Junming Wang
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR 999077, China
| | - Zheng Li
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR 999077, China
- Department of Surgery, The Chinese University of Hong Kong, Hong Kong SAR 999077, China
| | - Kai-Yu Raymond Tong
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR 999077, China
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Zheng Y, Liu C, Lai NYG, Wang Q, Xia Q, Sun X, Zhang S. Current development of biosensing technologies towards diagnosis of mental diseases. Front Bioeng Biotechnol 2023; 11:1190211. [PMID: 37456720 PMCID: PMC10342212 DOI: 10.3389/fbioe.2023.1190211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 06/16/2023] [Indexed: 07/18/2023] Open
Abstract
The biosensor is an instrument that converts the concentration of biomarkers into electrical signals for detection. Biosensing technology is non-invasive, lightweight, automated, and biocompatible in nature. These features have significantly advanced medical diagnosis, particularly in the diagnosis of mental disorder in recent years. The traditional method of diagnosing mental disorders is time-intensive, expensive, and subject to individual interpretation. It involves a combination of the clinical experience by the psychiatrist and the physical symptoms and self-reported scales provided by the patient. Biosensors on the other hand can objectively and continually detect disease states by monitoring abnormal data in biomarkers. Hence, this paper reviews the application of biosensors in the detection of mental diseases, and the diagnostic methods are divided into five sub-themes of biosensors based on vision, EEG signal, EOG signal, and multi-signal. A prospective application in clinical diagnosis is also discussed.
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Affiliation(s)
- Yuhan Zheng
- Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, China
- Ningbo Research Center, Ningbo Innovation Center, Zhejiang University, Ningbo, China
- Robotics Institute, Ningbo University of Technology, Ningbo, China
| | - Chen Liu
- Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, China
- Ningbo Research Center, Ningbo Innovation Center, Zhejiang University, Ningbo, China
| | - Nai Yeen Gavin Lai
- Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, China
| | - Qingfeng Wang
- Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute, University of Nottingham Ningbo China, Ningbo, China
| | - Qinghua Xia
- Ningbo Research Center, Ningbo Innovation Center, Zhejiang University, Ningbo, China
| | - Xu Sun
- Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, China
- Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute, University of Nottingham Ningbo China, Ningbo, China
| | - Sheng Zhang
- Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, China
- Ningbo Research Center, Ningbo Innovation Center, Zhejiang University, Ningbo, China
- School of Mechanical Engineering, Zhejiang University, Hangzhou, China
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5
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Xue Y, Wang Z, Dutta A, Chen X, Gao P, Li R, Yan J, Niu G, Wang Y, Du S, Cheng H, Yang L. Superhydrophobic, stretchable kirigami pencil-on-paper multifunctional device platform. CHEMICAL ENGINEERING JOURNAL (LAUSANNE, SWITZERLAND : 1996) 2023; 465:142774. [PMID: 37484163 PMCID: PMC10361402 DOI: 10.1016/j.cej.2023.142774] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Wearable electronics with applications in healthcare, human-machine interfaces, and robotics often explore complex manufacturing procedures and are not disposable. Although the use of conductive pencil patterns on cellulose paper provides inexpensive, disposable sensors, they have limited stretchability and are easily affected by variations in the ambient environment. This work presents the combination of pencil-on-paper with the hydrophobic fumed SiO2 (Hf-SiO2) coating and stretchable kirigami structures from laser cutting to prepare a superhydrophobic, stretchable pencil-on-paper multifunctional sensing platform. The resulting sensor exhibits a large response to NO2 gas at elevated temperature from self-heating, which is minimally affected by the variations in the ambient temperature and relative humidity, as well as mechanical deformations such as bending and stretching states. The integrated temperature sensor and electrodes with the sensing platform can accurately detect temperature and electrophysiological signals to alert for adverse thermal effects and cardiopulmonary diseases. The thermal therapy and electrical stimulation provided by the platform can also deliver effective means to battle against inflammation/infection and treat chronic wounds. The superhydrophobic pencil-onpaper multifunctional device platform provides a low-cost, disposable solution to disease diagnostic confirmation and early treatment for personal and population health.
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Affiliation(s)
- Ye Xue
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Zihan Wang
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Ankan Dutta
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, 16802, USA
| | - Xue Chen
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Key Laboratory of Bioelectromagnetics and Neuroengineering of Hebei Province, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Peng Gao
- Department of Electronic Information, Hebei University of Technology, Tianjin, 300130, China
| | - Runze Li
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Key Laboratory of Bioelectromagnetics and Neuroengineering of Hebei Province, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Jiayi Yan
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Guangyu Niu
- Department of Architecture and Art, Hebei University of Technology, Tianjin, 300130, China
| | - Ya Wang
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Shuaijie Du
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Key Laboratory of Bioelectromagnetics and Neuroengineering of Hebei Province, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Huanyu Cheng
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, 16802, USA
| | - Li Yang
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
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Yang KY, Nguyen HT, Tsao YM, Artemkina SB, Fedorov VE, Huang CW, Wang HC. Large area MoS 2 thin film growth by direct sulfurization. Sci Rep 2023; 13:8378. [PMID: 37225785 DOI: 10.1038/s41598-023-35596-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Accepted: 05/20/2023] [Indexed: 05/26/2023] Open
Abstract
In this study, we present the growth of monolayer MoS2 (molybdenum disulfide) film. Mo (molybdenum) film was formed on a sapphire substrate through e-beam evaporation, and triangular MoS2 film was grown by direct sulfurization. First, the growth of MoS2 was observed under an optical microscope. The number of MoS2 layers was analyzed by Raman spectrum, atomic force microscope (AFM), and photoluminescence spectroscopy (PL) measurement. Different sapphire substrate regions have different growth conditions of MoS2. The growth of MoS2 is optimized by controlling the amount and location of precursors, adjusting the appropriate growing temperature and time, and establishing proper ventilation. Experimental results show the successful growth of a large-area single-layer MoS2 on a sapphire substrate through direct sulfurization under a suitable environment. The thickness of the MoS2 film determined by AFM measurement is about 0.73 nm. The peak difference between the Raman measurement shift of 386 and 405 cm-1 is 19.1 cm-1, and the peak of PL measurement is about 677 nm, which is converted into energy of 1.83 eV, which is the size of the direct energy gap of the MoS2 thin film. The results verify the distribution of the number of grown layers. Based on the observation of the optical microscope (OM) images, MoS2 continuously grows from a single layer of discretely distributed triangular single-crystal grains into a single-layer large-area MoS2 film. This work provides a reference for growing MoS2 in a large area. We expect to apply this structure to various heterojunctions, sensors, solar cells, and thin-film transistors.
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Affiliation(s)
- Kai-Yao Yang
- Division of Gastroenterology, Department of Internal Medicine, Kaohsiung Armed Forces General Hospital, 2, Zhongzheng 1st.Rd., Lingya District, Kaohsiung City, 80284, Taiwan
| | - Hong-Thai Nguyen
- Department of Mechanical Engineering, National Chung Cheng University, 168, University Rd., Min Hsiung, Chia Yi, 62102, Taiwan
| | - Yu-Ming Tsao
- Department of Mechanical Engineering, National Chung Cheng University, 168, University Rd., Min Hsiung, Chia Yi, 62102, Taiwan
| | - Sofya B Artemkina
- Nikolaev Institute of Inorganic Chemistry, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia, 630090
- Department of Natural Sciences, Novosibirsk State University, 1, Pirogova Str., Novosibirsk, Russia, 630090
| | - Vladimir E Fedorov
- Nikolaev Institute of Inorganic Chemistry, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia, 630090
- Department of Natural Sciences, Novosibirsk State University, 1, Pirogova Str., Novosibirsk, Russia, 630090
| | - Chien-Wei Huang
- Division of Gastroenterology, Department of Internal Medicine, Kaohsiung Armed Forces General Hospital, 2, Zhongzheng 1st.Rd., Lingya District, Kaohsiung City, 80284, Taiwan.
- Department of Nursing, Tajen University, 20, Weixin Rd., Yanpu Township, 90741, Pingtung County, Taiwan.
| | - Hsiang-Chen Wang
- Department of Mechanical Engineering, National Chung Cheng University, 168, University Rd., Min Hsiung, Chia Yi, 62102, Taiwan.
- Director of Technology Development, Hitspectra Intelligent Technology Co., Ltd., 4F., No. 2, Fuxing 4th Rd., Qianzhen Dist., Kaohsiung City, 80661, Taiwan.
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Optical and Material Characteristics of MoS 2/Cu 2O Sensor for Detection of Lung Cancer Cell Types in Hydroplegia. Int J Mol Sci 2022; 23:ijms23094745. [PMID: 35563136 PMCID: PMC9101548 DOI: 10.3390/ijms23094745] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 04/21/2022] [Accepted: 04/22/2022] [Indexed: 02/07/2023] Open
Abstract
In this study, n-type MoS2 monolayer flakes are grown through chemical vapor deposition (CVD), and a p-type Cu2O thin film is grown via electrochemical deposition. The crystal structure of the grown MoS2 flakes is analyzed through transmission electron microscopy. The monolayer structure of the MoS2 flakes is verified with Raman spectroscopy, multiphoton excitation microscopy, atomic force microscopy, and photoluminescence (PL) measurements. After the preliminary processing of the grown MoS2 flakes, the sample is then transferred onto a Cu2O thin film to complete a p-n heterogeneous structure. Data are confirmed via scanning electron microscopy, SHG, and Raman mapping measurements. The luminous energy gap between the two materials is examined through PL measurements. Results reveal that the thickness of the single-layer MoS2 film is 0.7 nm. PL mapping shows a micro signal generated at the 627 nm wavelength, which belongs to the B2 excitons of MoS2 and tends to increase gradually when it approaches 670 nm. Finally, the biosensor is used to detect lung cancer cell types in hydroplegia significantly reducing the current busy procedures and longer waiting time for detection. The results suggest that the fabricated sensor is highly sensitive to the change in the photocurrent with the number of each cell, the linear regression of the three cell types is as high as 99%. By measuring the slope of the photocurrent, we can identify the type of cells and the number of cells.
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Growth Mechanism of Periodic-Structured MoS 2 by Transmission Electron Microscopy. NANOMATERIALS 2021; 12:nano12010135. [PMID: 35010085 PMCID: PMC8796029 DOI: 10.3390/nano12010135] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 12/17/2021] [Accepted: 12/30/2021] [Indexed: 12/28/2022]
Abstract
Molybdenum disulfide (MoS2) was grown on a laser-processed periodic-hole sapphire substrate through chemical vapor deposition. The main purpose was to investigate the mechanism of MoS2 growth in substrate with a periodic structure. By controlling the amount and position of the precursor, adjusting the growth temperature and time, and setting the flow rate of argon gas, MoS2 grew in the region of the periodic holes. A series of various growth layer analyses of MoS2 were then confirmed by Raman spectroscopy, photoluminescence spectroscopy, and atomic force microscopy. Finally, the growth mechanism was studied by transmission electron microscopy (TEM). The experimental results show that in the appropriate environment, MoS2 can be successfully grown on substrate with periodic holes, and the number of growth layers can be determined through measurements. By observing the growth mechanism, composition analysis, and selected area electron diffraction diagram by TEM, we comprehensively understand the growth phenomenon. The results of this research can serve as a reference for the large-scale periodic growth of MoS2. The production of periodic structures by laser drilling is advantageous, as it is relatively simpler than other methods.
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Cost-Effective Fabrication of Transparent Strain Sensors via Micro-Scale 3D Printing and Imprinting. NANOMATERIALS 2021; 12:nano12010120. [PMID: 35010071 PMCID: PMC8746503 DOI: 10.3390/nano12010120] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 12/27/2021] [Accepted: 12/28/2021] [Indexed: 12/26/2022]
Abstract
The development of strain sensors with high sensitivity and stretchability is essential for health monitoring, electronic skin, wearable devices, and human-computer interactions. However, sensors that combine high sensitivity and ultra-wide detection generally require complex preparation processes. Here, a novel flexible strain sensor with high sensitivity and transparency was proposed by filling a multiwalled carbon nanotube (MWCNT) solution into polydimethylsiloxane (PDMS) channel films fabricated via an electric field-driven (EFD) 3D printing and molding hybrid process. The fabricated flexible strain sensor with embedded MWCNT networks had superior gauge factors of 90, 285, and 1500 at strains of 6.6%, 14%, and 20%, respectively. In addition, the flexible strain sensors with an optical transparency of 84% offered good stability and durability with no significant change in resistance after 8000 stretch-release cycles. Finally, the fabricated flexible strain sensors with embedded MWCNT networks showed good practical performance and could be attached to the skin to monitor various human movements such as wrist flexion, finger flexion, neck flexion, blinking activity, food swallowing, and facial expression recognition. These are good application strategies for wearable devices and health monitoring.
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Zhang S, Xia Q, Ma S, Yang W, Wang Q, Yang C, Jin B, Liu C. Current advances and challenges in nanosheet-based wearable power supply devices. iScience 2021; 24:103477. [PMID: 34927023 PMCID: PMC8646179 DOI: 10.1016/j.isci.2021.103477] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Nowadays, wearable devices mainly exist in the form of portable accessories with various functions, connecting various kinds of terminals like mobile phones to form various wearable systems. In a wearable system, the wearable power supply device is the key component as energy dispenser for all devices. Nanosheets, a kind of two-dimensional material, which always displays a high surface-to-volume ratio and thus is lightweight and has remarkable conductive as well as electrochemical properties, have become the optimal choice for wearable power supply devices. The development and status of nanosheet-based wearable power supply devices including nanosheet-based wearable batteries, nanosheet-based wearable supercapacitors, nanosheet-based wearable self-powered energy suppliers are introduced in this article. Besides, the future opportunities and challenges of wearable devices are discussed.
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Affiliation(s)
- Sheng Zhang
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou 310027, China
- Ningbo Tech University, Ningbo 315100, China
| | - Qingchao Xia
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou 310027, China
- Ningbo Tech University, Ningbo 315100, China
| | - Shuyang Ma
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou 310027, China
- Polytechnic Institute, Zhejiang University, Ningbo, China
| | - Wei Yang
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou 310027, China
- Ningbo Tech University, Ningbo 315100, China
| | - Qianqian Wang
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou 310027, China
- School of Biological and Chemical Engineering, NingboTech University, Ningbo 315100, China
- College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China
| | - Canjun Yang
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou 310027, China
- Ningbo Tech University, Ningbo 315100, China
| | - Bo Jin
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou 310027, China
- Ningbo Tech University, Ningbo 315100, China
| | - Chen Liu
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou 310027, China
- Ningbo Tech University, Ningbo 315100, China
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11
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Zhang S, Zeng J, Wang C, Feng L, Song Z, Zhao W, Wang Q, Liu C. The Application of Wearable Glucose Sensors in Point-of-Care Testing. Front Bioeng Biotechnol 2021; 9:774210. [PMID: 34957071 PMCID: PMC8692794 DOI: 10.3389/fbioe.2021.774210] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 11/18/2021] [Indexed: 12/18/2022] Open
Abstract
Diabetes and its complications have become a worldwide concern that influences human health negatively and even leads to death. The real-time and convenient glucose detection in biofluids is urgently needed. Traditional glucose testing is detecting glucose in blood and is invasive, which cannot be continuous and results in discomfort for the users. Consequently, wearable glucose sensors toward continuous point-of-care glucose testing in biofluids have attracted great attention, and the trend of glucose testing is from invasive to non-invasive. In this review, the wearable point-of-care glucose sensors for the detection of different biofluids including blood, sweat, saliva, tears, and interstitial fluid are discussed, and the future trend of development is prospected.
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Affiliation(s)
- Sheng Zhang
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou, China
| | - Junyan Zeng
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou, China
| | - Chunge Wang
- School of Mechanical and Energy Engineering, Ningbo Tech University, Ningbo, China
| | - Luying Feng
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou, China
| | - Zening Song
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou, China
| | - Wenjie Zhao
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou, China
| | - Qianqian Wang
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou, China
- College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China
| | - Chen Liu
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou, China
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Li KC, Lu MY, Nguyen HT, Feng SW, Artemkina SB, Fedorov VE, Wang HC. Intelligent Identification of MoS 2 Nanostructures with Hyperspectral Imaging by 3D-CNN. NANOMATERIALS 2020; 10:nano10061161. [PMID: 32545726 PMCID: PMC7353172 DOI: 10.3390/nano10061161] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 06/11/2020] [Accepted: 06/11/2020] [Indexed: 02/07/2023]
Abstract
Increasing attention has been paid to two-dimensional (2D) materials because of their superior performance and wafer-level synthesis methods. However, the large-area characterization, precision, intelligent automation, and high-efficiency detection of nanostructures for 2D materials have not yet reached an industrial level. Therefore, we use big data analysis and deep learning methods to develop a set of visible-light hyperspectral imaging technologies successfully for the automatic identification of few-layers MoS2. For the classification algorithm, we propose deep neural network, one-dimensional (1D) convolutional neural network, and three-dimensional (3D) convolutional neural network (3D-CNN) models to explore the correlation between the accuracy of model recognition and the optical characteristics of few-layers MoS2. The experimental results show that the 3D-CNN has better generalization capability than other classification models, and this model is applicable to the feature input of the spatial and spectral domains. Such a difference consists in previous versions of the present study without specific substrate, and images of different dynamic ranges on a section of the sample may be administered via the automatic shutter aperture. Therefore, adjusting the imaging quality under the same color contrast conditions is unnecessary, and the process of the conventional image is not used to achieve the maximum field of view recognition range of ~1.92 mm2. The image resolution can reach ~100 nm and the detection time is 3 min per one image.
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Affiliation(s)
- Kai-Chun Li
- Department of Mechanical Engineering and Advanced Institute of Manufacturing with High Tech Innovations, National Chung Cheng University, 168, University Rd., Min Hsiung, Chia Yi 62102, Taiwan; (K.-C.L.); (H.T.N.)
| | - Ming-Yen Lu
- Department of Materials Science and Engineering, National Tsing Hua University, 101, Sec. 2, Kuang-Fu Road, Hsinchu 30013, Taiwan;
| | - Hong Thai Nguyen
- Department of Mechanical Engineering and Advanced Institute of Manufacturing with High Tech Innovations, National Chung Cheng University, 168, University Rd., Min Hsiung, Chia Yi 62102, Taiwan; (K.-C.L.); (H.T.N.)
| | - Shih-Wei Feng
- Department of Applied Physics, National University of Kaohsiung, 700 Kaohsiung University Rd., Nanzih District, Kaohsiung 81148, Taiwan;
| | - Sofya B. Artemkina
- Nikolaev Institute of Inorganic Chemistry, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (S.B.A.); (V.E.F.)
- Department of Natural Sciences, Novosibirsk State University, 1, Pirogova str., 630090 Novosibirsk, Russia
| | - Vladimir E. Fedorov
- Nikolaev Institute of Inorganic Chemistry, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (S.B.A.); (V.E.F.)
- Department of Natural Sciences, Novosibirsk State University, 1, Pirogova str., 630090 Novosibirsk, Russia
| | - Hsiang-Chen Wang
- Department of Mechanical Engineering and Advanced Institute of Manufacturing with High Tech Innovations, National Chung Cheng University, 168, University Rd., Min Hsiung, Chia Yi 62102, Taiwan; (K.-C.L.); (H.T.N.)
- Correspondence:
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