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Youn S, Ki MR, Abdelhamid MAA, Pack SP. Biomimetic Materials for Skin Tissue Regeneration and Electronic Skin. Biomimetics (Basel) 2024; 9:278. [PMID: 38786488 PMCID: PMC11117890 DOI: 10.3390/biomimetics9050278] [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: 03/20/2024] [Revised: 04/26/2024] [Accepted: 05/01/2024] [Indexed: 05/25/2024] Open
Abstract
Biomimetic materials have become a promising alternative in the field of tissue engineering and regenerative medicine to address critical challenges in wound healing and skin regeneration. Skin-mimetic materials have enormous potential to improve wound healing outcomes and enable innovative diagnostic and sensor applications. Human skin, with its complex structure and diverse functions, serves as an excellent model for designing biomaterials. Creating effective wound coverings requires mimicking the unique extracellular matrix composition, mechanical properties, and biochemical cues. Additionally, integrating electronic functionality into these materials presents exciting possibilities for real-time monitoring, diagnostics, and personalized healthcare. This review examines biomimetic skin materials and their role in regenerative wound healing, as well as their integration with electronic skin technologies. It discusses recent advances, challenges, and future directions in this rapidly evolving field.
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Affiliation(s)
- Sol Youn
- Department of Biotechnology and Bioinformatics, Korea University, Sejong-Ro 2511, Sejong 30019, Republic of Korea; (S.Y.); (M.A.A.A.)
| | - Mi-Ran Ki
- Department of Biotechnology and Bioinformatics, Korea University, Sejong-Ro 2511, Sejong 30019, Republic of Korea; (S.Y.); (M.A.A.A.)
- Institute of Industrial Technology, Korea University, Sejong-Ro 2511, Sejong 30019, Republic of Korea
| | - Mohamed A. A. Abdelhamid
- Department of Biotechnology and Bioinformatics, Korea University, Sejong-Ro 2511, Sejong 30019, Republic of Korea; (S.Y.); (M.A.A.A.)
- Department of Botany and Microbiology, Faculty of Science, Minia University, Minia 61519, Egypt
| | - Seung-Pil Pack
- Department of Biotechnology and Bioinformatics, Korea University, Sejong-Ro 2511, Sejong 30019, Republic of Korea; (S.Y.); (M.A.A.A.)
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2
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Iravani S, Rabiee N, Makvandi P. Advancements in MXene-based composites for electronic skins. J Mater Chem B 2024; 12:895-915. [PMID: 38194290 DOI: 10.1039/d3tb02247a] [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: 01/10/2024]
Abstract
MXenes are a class of two-dimensional (2D) materials that have gained significant attention in the field of electronic skins (E-skins). MXene-based composites offer several advantages for E-skins, including high electrical conductivity, mechanical flexibility, transparency, and chemical stability. Their mechanical flexibility allows for conformal integration onto various surfaces, enabling the creation of E-skins that can closely mimic human skin. In addition, their high surface area facilitates enhanced sensitivity and responsiveness to external stimuli, making them ideal for sensing applications. Notably, MXene-based composites can be integrated into E-skins to create sensors that can detect various stimuli, such as temperature, pressure, strain, and humidity. These sensors can be used for a wide range of applications, including health monitoring, robotics, and human-machine interfaces. However, challenges related to scalability, integration, and biocompatibility need to be addressed. One important challenge is achieving long-term stability under harsh conditions such as high humidity. MXenes are susceptible to oxidation, which can degrade their electrical and mechanical properties over time. Another crucial challenge is the scalability of MXene synthesis, as large-scale production methods need to be developed to meet the demand for commercial applications. Notably, the integration of MXenes with other components, such as energy storage devices or flexible electronics, requires further developments to ensure compatibility and optimize overall performance. By addressing issues related to material stability, mechanical flexibility, scalability, sensing performance, and power supply, MXene-based E-skins can develop the fields of healthcare monitoring/diagnostics, prosthetics, motion monitoring, wearable electronics, and human-robot interactions. The integration of MXenes with emerging technologies, such as artificial intelligence or internet of things, can unlock new functionalities and applications for E-skins, ranging from healthcare monitoring to virtual reality interfaces. This review aims to examine the challenges, advantages, and limitations of MXenes and their composites in E-skins, while also exploring the future prospects and potential advancements in this field.
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Affiliation(s)
- Siavash Iravani
- Independent Researcher, W Nazar ST, Boostan Ave, Isfahan, Iran.
| | - Navid Rabiee
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Perth, WA 6150, Australia
- School of Engineering, Macquarie University, Sydney, New South Wales, 2109, Australia
| | - Pooyan Makvandi
- The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, 324000, Quzhou, Zhejiang, China.
- School of Engineering, Institute for Bioengineering, The University of Edinburgh, Edinburgh, EH9 3JL, UK
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Li S, Huang J, Wang M, Deng K, Guo C, Li B, Cheng Y, Sun H, Ye H, Pan T, Chang Y. Structural Electronic Skin for Conformal Tactile Sensing. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2304106. [PMID: 37737619 PMCID: PMC10667827 DOI: 10.1002/advs.202304106] [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: 06/21/2023] [Revised: 08/22/2023] [Indexed: 09/23/2023]
Abstract
The conformal integration of the electronic skin on the non-developable surface is in great demand for the comprehensive tactile sensing of robotics and prosthetics. However, the current techniques still encounter obstacles in achieving conformal integration of film-like electronic skin on non-developable surfaces with substantial curvatures for contact pressure detection and tactile mapping. In this paper, by utilizing the 3D printing technology to prepare the 3D electrode array in the structural component following its surface curvature, and covering it with a molded functional shell to form the pressure sensitive iontronic interface, a device is proposed to achieve high-sensitive pressure detection and high-fidelity tactile mapping on a complicated non-developable surface, called structural electronic skin (SES). The SES is prepared in a 3D printed fingertip with 46 tactile sensing units distributed on its curved surface, achieving the integration of both structural and tactile functions in a single component. By integrating the smart fingertip into a dexterous hand, a series of demonstrations are presented to show the dead-zone free pressure detection and tactile mapping with high sensitivity, for instance, 2D pulse wave monitoring and robotic injection in a medical robot, object recognition and compliant control in a smart prosthesis.
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Affiliation(s)
- Sen Li
- School of Biomedical EngineeringUniversity of Science and Technology of ChinaHefei230026China
- Center for Intelligent Medical Equipment and DevicesSuzhou Institute for Advanced ResearchUniversity of Science and Technology of ChinaSuzhou215123China
- Bionic Sensing and Intelligence Center (BSIC)Institute of Biomedical and Health EngineeringShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518055China
- School of EngineeringHangzhou Normal UniversityHangzhouZhejiang311121China
| | - Jiantao Huang
- Bionic Sensing and Intelligence Center (BSIC)Institute of Biomedical and Health EngineeringShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518055China
| | - Meilan Wang
- Bionic Sensing and Intelligence Center (BSIC)Institute of Biomedical and Health EngineeringShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518055China
| | - Ka Deng
- Bionic Sensing and Intelligence Center (BSIC)Institute of Biomedical and Health EngineeringShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518055China
| | - Chenhui Guo
- Bionic Sensing and Intelligence Center (BSIC)Institute of Biomedical and Health EngineeringShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518055China
| | - Bin Li
- Bionic Sensing and Intelligence Center (BSIC)Institute of Biomedical and Health EngineeringShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518055China
| | - Yu Cheng
- Bionic Sensing and Intelligence Center (BSIC)Institute of Biomedical and Health EngineeringShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518055China
| | - Hongyan Sun
- Bionic Sensing and Intelligence Center (BSIC)Institute of Biomedical and Health EngineeringShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518055China
| | - Hong Ye
- TacSense Technology (Shenzhen) Co., LtdShenzhenGuangdong518000China
| | - Tingrui Pan
- School of Biomedical EngineeringUniversity of Science and Technology of ChinaHefei230026China
- Center for Intelligent Medical Equipment and DevicesSuzhou Institute for Advanced ResearchUniversity of Science and Technology of ChinaSuzhou215123China
- Bionic Sensing and Intelligence Center (BSIC)Institute of Biomedical and Health EngineeringShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518055China
- Department of Precision Machinery and Precision InstrumentationUniversity of Science and Technology of ChinaHefei230026China
| | - Yu Chang
- School of Biomedical EngineeringUniversity of Science and Technology of ChinaHefei230026China
- Center for Intelligent Medical Equipment and DevicesSuzhou Institute for Advanced ResearchUniversity of Science and Technology of ChinaSuzhou215123China
- Bionic Sensing and Intelligence Center (BSIC)Institute of Biomedical and Health EngineeringShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518055China
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4
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Gunasekhar R, Sathiyanathan P, Reza MS, Prasad G, Prabu AA, Kim H. Polyvinylidene Fluoride/Aromatic Hyperbranched Polyester of Third-Generation-Based Electrospun Nanofiber as a Self-Powered Triboelectric Nanogenerator for Wearable Energy Harvesting and Health Monitoring Applications. Polymers (Basel) 2023; 15:2375. [PMID: 37242949 PMCID: PMC10224140 DOI: 10.3390/polym15102375] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/11/2023] [Accepted: 04/13/2023] [Indexed: 05/28/2023] Open
Abstract
Flexible pressure sensors have played an increasingly important role in the Internet of Things and human-machine interaction systems. For a sensor device to be commercially viable, it is essential to fabricate a sensor with higher sensitivity and lower power consumption. Polyvinylidene fluoride (PVDF)-based triboelectric nanogenerators (TENGs) prepared by electrospinning are widely used in self-powered electronics owing to their exceptional voltage generation performance and flexible nature. In the present study, aromatic hyperbranched polyester of the third generation (Ar.HBP-3) was added into PVDF as a filler (0, 10, 20, 30 and 40 wt.% w.r.t. PVDF content) to prepare nanofibers by electrospinning. The triboelectric performances (open-circuit voltage and short-circuit current) of PVDF-Ar.HBP-3/polyurethane (PU)-based TENG shows better performance than a PVDF/PU pair. Among the various wt.% of Ar.HBP-3, a 10 wt.% sample shows maximum output performances of 107 V which is almost 10 times that of neat PVDF (12 V); whereas, the current slightly increases from 0.5 μA to 1.3 μA. The self-powered TENG is also effective in measuring human motion. Overall, we have reported a simpler technique for producing high-performance TENG using morphological alteration of PVDF, which has the potential for use as mechanical energy harvesters and as effective power sources for wearable and portable electronic devices.
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Affiliation(s)
- Ramadasu Gunasekhar
- Department of Chemistry, School of Advanced Sciences, Vellore Institute of Technology, Vellore 632014, India
| | - Ponnan Sathiyanathan
- Department of Advanced Materials Engineering for Information & Electronics, College of Engineering, Kyung Hee University, Yongin-si 17104, Gyeonggi-do, Republic of Korea
| | - Mohammad Shamim Reza
- Department of Advanced Materials Engineering for Information & Electronics, College of Engineering, Kyung Hee University, Yongin-si 17104, Gyeonggi-do, Republic of Korea
| | - Gajula Prasad
- School of Energy, Materials and Chemical Engineering, Korea University of Technology and Education, 1600, Cheonan-si 31253, Chungcheongnam-do, Republic of Korea
| | - Arun Anand Prabu
- Department of Chemistry, School of Advanced Sciences, Vellore Institute of Technology, Vellore 632014, India
| | - Hongdoo Kim
- Department of Advanced Materials Engineering for Information & Electronics, College of Engineering, Kyung Hee University, Yongin-si 17104, Gyeonggi-do, Republic of Korea
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5
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Sabrin S, Karmokar DK, Karmakar NC, Hong SH, Habibullah H, Szili EJ. Opportunities of Electronic and Optical Sensors in Autonomous Medical Plasma Technologies. ACS Sens 2023; 8:974-993. [PMID: 36897225 DOI: 10.1021/acssensors.2c02579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
Low temperature plasma technology is proving to be at the frontier of emerging medical technologies with real potential to overcome escalating healthcare challenges including antimicrobial and anticancer resistance. However, significant improvements in efficacy, safety, and reproducibility of plasma treatments need to be addressed to realize the full clinical potential of the technology. To improve plasma treatments recent research has focused on integrating automated feedback control systems into medical plasma technologies to maintain optimal performance and safety. However, more advanced diagnostic systems are still needed to provide data into feedback control systems with sufficient levels of sensitivity, accuracy, and reproducibility. These diagnostic systems need to be compatible with the biological target and to also not perturb the plasma treatment. This paper reviews the state-of-the-art electronic and optical sensors that might be suitable to address this unmet technological need, and the steps needed to integrate these sensors into autonomous plasma systems. Realizing this technological gap could facilitate the development of next-generation medical plasma technologies with strong potential to yield superior healthcare outcomes.
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Affiliation(s)
- Sumyea Sabrin
- Future Industries Institute, University of South Australia, Mawson Lakes Campus, Mawson Lakes, South Australia 5095, Australia
| | - Debabrata K Karmokar
- UniSA STEM, University of South Australia, Mawson Lakes Campus, Mawson Lakes, South Australia 5095, Australia
| | - Nemai C Karmakar
- Electrical and Computer Systems Engineering Department, Monash University, Clayton, Victoria 3800, Australia
| | - Sung-Ha Hong
- Future Industries Institute, University of South Australia, Mawson Lakes Campus, Mawson Lakes, South Australia 5095, Australia
| | - Habibullah Habibullah
- UniSA STEM, University of South Australia, Mawson Lakes Campus, Mawson Lakes, South Australia 5095, Australia
| | - Endre J Szili
- Future Industries Institute, University of South Australia, Mawson Lakes Campus, Mawson Lakes, South Australia 5095, Australia
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Zhu Y, Haghniaz R, Hartel MC, Guan S, Bahari J, Li Z, Baidya A, Cao K, Gao X, Li J, Wu Z, Cheng X, Li B, Emaminejad S, Weiss PS, Khademhosseini A. A Breathable, Passive-Cooling, Non-Inflammatory, and Biodegradable Aerogel Electronic Skin for Wearable Physical-Electrophysiological-Chemical Analysis. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2209300. [PMID: 36576895 PMCID: PMC10006339 DOI: 10.1002/adma.202209300] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 12/20/2022] [Indexed: 06/17/2023]
Abstract
Real-time monitoring of human health can be significantly improved by designing novel electronic skin (E-skin) platforms that mimic the characteristics and sensitivity of human skin. A high-quality E-skin platform that can simultaneously monitor multiple physiological and metabolic biomarkers without introducing skin discomfort or irritation is an unmet medical need. Conventional E-skins are either monofunctional or made from elastomeric films that do not include key synergistic features of natural skin, such as multi-sensing, breathability, and thermal management capabilities in a single patch. Herein, a biocompatible and biodegradable E-skin patch based on flexible gelatin methacryloyl aerogel (FGA) for non-invasive and continuous monitoring of multiple biomarkers of interest is engineered and demonstrated. Taking advantage of cryogenic temperature treatment and slow polymerization, FGA is fabricated with a highly interconnected porous structure that displays good flexibility, passive-cooling capabilities, and ultra-lightweight properties that make it comfortable to wear for long periods of time. It also provides numerous permeable capillary channels for thermal-moisture transfer, ensuring its excellent breathability. Therefore, the engineered FGA-based E-skin can simultaneously monitor body temperature, hydration, and biopotentials via electrophysiological sensors and detect glucose, lactate, and alcohol levels via electrochemical sensors. This work offers a previously unexplored materials strategy for next-generation E-skin platforms with superior practicality.
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Affiliation(s)
- Yangzhi Zhu
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, USA
| | - Reihaneh Haghniaz
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, USA
| | - Martin C Hartel
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, USA
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Shenghan Guan
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, USA
- Mork Family Department of Chemical Engineering & Materials Science, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, 90007, USA
| | - Jamal Bahari
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, USA
| | - Zijie Li
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, USA
- Mork Family Department of Chemical Engineering & Materials Science, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, 90007, USA
| | - Avijit Baidya
- Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Ke Cao
- Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA
| | - Xiaoxiang Gao
- Department of Nanoengineering, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Jinghang Li
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, USA
| | - Zhuohong Wu
- Department of Nanoengineering, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Xuanbing Cheng
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Bingbing Li
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, USA
- Department of Manufacturing Systems Engineering and Management, California State University Northridge, Northridge, CA, 91330, USA
| | - Sam Emaminejad
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Paul S Weiss
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Chemistry and Biochemistry, Department of Materials Science and Engineering and California NanoSystems Institute, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Ali Khademhosseini
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, USA
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7
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Hu B, Kang X, Xu S, Zhu J, Yang L, Jiang C. Multiplex Chroma Response Wearable Hydrogel Patch: Visual Monitoring of Urea in Body Fluids for Health Prognosis. Anal Chem 2023; 95:3587-3595. [PMID: 36753619 DOI: 10.1021/acs.analchem.2c03806] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Visual wearable devices can rapid intuitively monitor biomarkers in body fluids to indicate the human health status and provide valuable reference for further medical diagnosis. However, unavoidable interference factors such as skin color, natural light, and background luminescence can interfere with the visualization accuracy of flexible wearable devices, limiting their practical sensing application. Here, we designed a wearable sensing patch via an embedded upconversion optical probe in a 3D porous polyacrylamide hydrogel, exhibiting a multiplex chroma response to urea based on the inner filter effect, which overcomes the susceptibility to external conditions due to its near-infrared excited luminescence and improves the resolution and accuracy of visual sensing. Furthermore, a highly compatible portable sensing platform combined with a smartphone was designed to achieve in situ rapid quantitative analysis of urea. The limit of detection values of the upconversion optical probe and hydrogel sensor are as low as 1.4 and 30 μM respectively, exhibiting the practicality in different scenarios. The designed sensing patch provides a convenient and accurate sensing strategy for the detection of biomarkers in body fluids and has the potential to be developed into a point-of-care device to provide disease early warning and clinical diagnosis.
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Affiliation(s)
- Bin Hu
- Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui, China.,Department of Chemistry, University of Science and Technology of China, Hefei 230026, China
| | - Xiaohui Kang
- Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui, China.,Department of Chemistry, University of Science and Technology of China, Hefei 230026, China
| | - Shihao Xu
- Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui, China.,Key Laboratory of Photovoltaic and Energy Conservation Materials, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
| | - Jiawei Zhu
- Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui, China.,Department of Chemistry, University of Science and Technology of China, Hefei 230026, China
| | - Liang Yang
- Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui, China.,Key Laboratory of Photovoltaic and Energy Conservation Materials, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
| | - Changlong Jiang
- Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui, China.,Key Laboratory of Photovoltaic and Energy Conservation Materials, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
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Lin X, Luo J, Liao M, Su Y, Lv M, Li Q, Xiao S, Xiang J. Wearable Sensor-Based Monitoring of Environmental Exposures and the Associated Health Effects: A Review. BIOSENSORS 2022; 12:1131. [PMID: 36551098 PMCID: PMC9775571 DOI: 10.3390/bios12121131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 11/24/2022] [Accepted: 12/02/2022] [Indexed: 06/17/2023]
Abstract
Recent advances in sensor technology have facilitated the development and use of personalized sensors in monitoring environmental factors and the associated health effects. No studies have reviewed the research advancement in examining population-based health responses to environmental exposure via portable sensors/instruments. This study aims to review studies that use portable sensors to measure environmental factors and health responses while exploring the environmental effects on health. With a thorough literature review using two major English databases (Web of Science and PubMed), 24 eligible studies were included and analyzed out of 16,751 total records. The 24 studies include 5 on physical factors, 19 on chemical factors, and none on biological factors. The results show that particles were the most considered environmental factor among all of the physical, chemical, and biological factors, followed by total volatile organic compounds and carbon monoxide. Heart rate and heart rate variability were the most considered health indicators among all cardiopulmonary outcomes, followed by respiratory function. The studies mostly had a sample size of fewer than 100 participants and a study period of less than a week due to the challenges in accessing low-cost, small, and light wearable sensors. This review guides future sensor-based environmental health studies on project design and sensor selection.
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Affiliation(s)
- Xueer Lin
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Jiaying Luo
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Minyan Liao
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Yalan Su
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Mo Lv
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Qing Li
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110819, China
| | - Shenglan Xiao
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China
| | - Jianbang Xiang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
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9
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Lin JC, Liatsis P, Alexandridis P. Flexible and Stretchable Electrically Conductive Polymer Materials for Physical Sensing Applications. POLYM REV 2022. [DOI: 10.1080/15583724.2022.2059673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Jui-Chi Lin
- Department of Biomedical Engineering, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, USA
| | - Panos Liatsis
- Department of Electrical Engineering and Computer Science, Khalifa University, Abu Dhabi, UAE
| | - Paschalis Alexandridis
- Department of Biomedical Engineering, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, USA
- Department of Chemical and Biological Engineering, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, USA
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10
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Early Notice Pointer, an IoT-like Platform for Point-of-Care Feet and Body Balance Screening. MICROMACHINES 2022; 13:mi13050682. [PMID: 35630149 PMCID: PMC9144081 DOI: 10.3390/mi13050682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 04/19/2022] [Accepted: 04/24/2022] [Indexed: 11/16/2022]
Abstract
Improper foot biomechanics associated with uneven bodyweight distribution contribute to impaired balance and fall risks. There is a need to complete the panel of commercially available devices for the self-measurement of BMI, fat, muscle, bone, weight, and hydration with one that measures weight-shifting at home as a pre-specialist assessment system. This paper reports the development of the Early Notice Pointer (ENP), a user-friendly screening device based on weighing scale technology. The ENP is designed to be used at home to provide a graphic indication and customised and evidence-based foot and posture triage. The device electronically detects and maps the bodyweight and distinct load distributions on the main areas of the feet: forefoot and rearfoot. The developed platform also presents features that assess the user's balance, and the results are displayed as a simple numerical report and map. The technology supports data display on mobile phones and accommodates multiple measurements for monitoring. Therefore, the evaluation could be done at non-specialist and professional levels. The system has been tested to validate its accuracy, precision, and consistency. A parallel study to describe the frequency of arch types and metatarsal pressure in young adults (1034 healthy subjects) was conducted to explain the importance of self-monitoring at home for better prevention of foot arch- and posture-related conditions. The results showed the potential of the newly created platform as a screening device ready to be wirelessly connected with mobile phones and the internet for remote and personalised identification and monitoring of foot- and body balance-related conditions. The real-time interpretation of the reported physiological parameters opens new avenues toward IoT-like on-body monitoring of human physiological signals through easy-to-use devices on flexible substrates for specific versatility.
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