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Cheng S, Gu Z, Zhou L, Hao M, An H, Song K, Wu X, Zhang K, Zhao Z, Dong Y, Wen Y. Recent Progress in Intelligent Wearable Sensors for Health Monitoring and Wound Healing Based on Biofluids. Front Bioeng Biotechnol 2021; 9:765987. [PMID: 34790653 PMCID: PMC8591136 DOI: 10.3389/fbioe.2021.765987] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Accepted: 10/12/2021] [Indexed: 01/04/2023] Open
Abstract
The intelligent wearable sensors promote the transformation of the health care from a traditional hospital-centered model to a personal portable device-centered model. There is an urgent need of real-time, multi-functional, and personalized monitoring of various biochemical target substances and signals based on the intelligent wearable sensors for health monitoring, especially wound healing. Under this background, this review article first reviews the outstanding progress in the development of intelligent, wearable sensors designed for continuous, real-time analysis, and monitoring of sweat, blood, interstitial fluid, tears, wound fluid, etc. Second, this paper reports the advanced status of intelligent wound monitoring sensors designed for wound diagnosis and treatment. The paper highlights some smart sensors to monitor target analytes in various wounds. Finally, this paper makes conservative recommendations regarding future development of intelligent wearable sensors.
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Affiliation(s)
- Siyang Cheng
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Daxing Research Institute, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, China
| | - Zhen Gu
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Daxing Research Institute, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, China
| | - Liping Zhou
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Daxing Research Institute, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, China
| | - Mingda Hao
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Daxing Research Institute, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, China
| | - Heng An
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Daxing Research Institute, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, China
| | - Kaiyu Song
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Daxing Research Institute, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xiaochao Wu
- School of Material Science and Engineering, Zhengzhou University, Zhengzhou, China
| | - Kexin Zhang
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Daxing Research Institute, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, China
| | - Zeya Zhao
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Daxing Research Institute, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, China
| | | | - Yongqiang Wen
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Daxing Research Institute, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, China
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52
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Intervention of Wearables and Smartphones in Real Time Monitoring of Sleep and Behavioral Health: An Assessment Using Adaptive Neuro-Fuzzy Technique. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2021. [DOI: 10.1007/s13369-021-06078-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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53
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Ghaffari R, Yang DS, Kim J, Mansour A, Wright JA, Model JB, Wright DE, Rogers JA, Ray TR. State of Sweat: Emerging Wearable Systems for Real-Time, Noninvasive Sweat Sensing and Analytics. ACS Sens 2021; 6:2787-2801. [PMID: 34351759 DOI: 10.1021/acssensors.1c01133] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Skin-interfaced wearable systems with integrated colorimetric assays, microfluidic channels, and electrochemical sensors offer powerful capabilities for noninvasive, real-time sweat analysis. This Perspective details recent progress in the development and translation of novel wearable sensors for personalized assessment of sweat dynamics and biomarkers, with precise sampling and real-time analysis. Sensor accuracy, system ruggedness, and large-scale deployment in remote environments represent key opportunity areas, enabling broad deployment in the context of field studies, clinical trials, and recent commercialization. On-body measurements in these contexts show good agreement compared to conventional laboratory-based sweat analysis approaches. These device demonstrations highlight the utility of biochemical sensing platforms for personalized assessment of performance, wellness, and health across a broad range of applications.
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Affiliation(s)
- Roozbeh Ghaffari
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60202, United States
- Department of Biomedical Engineering, Northwestern University, Evanston, Illinois 60202, United States
- Epicore Biosystems, Inc., Cambridge, Massachusetts 02139, United States
| | - Da Som Yang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60202, United States
| | - Joohee Kim
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60202, United States
| | - Amer Mansour
- Division of Biological Sciences, The University of Chicago, Chicago, Illinois 60637, United States
| | - John A. Wright
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60202, United States
- Epicore Biosystems, Inc., Cambridge, Massachusetts 02139, United States
| | - Jeffrey B. Model
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60202, United States
- Epicore Biosystems, Inc., Cambridge, Massachusetts 02139, United States
| | - Donald E. Wright
- Epicore Biosystems, Inc., Cambridge, Massachusetts 02139, United States
| | - John A. Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60202, United States
- Department of Biomedical Engineering, Northwestern University, Evanston, Illinois 60202, United States
- Epicore Biosystems, Inc., Cambridge, Massachusetts 02139, United States
- Departments of Materials Science and Engineering, Mechanical Engineering, Electrical and Computer Engineering, and Chemistry, Northwestern University, Evanston, Illinois 60202, United States
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, United States
| | - Tyler R. Ray
- Department of Mechanical Engineering, University of Hawai’i at Ma̅noa, Honolulu, Hawaii 96822, United States
- Department of Cell and Molecular Biology, John A. Burns School of Medicine, University of Hawai’i at Ma̅noa, Honolulu, Hawaii 96813, United States
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54
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Ge K, Guo D, Ma X, Xu Z, Hayat A, Li S, Zhai T. Large-Area Biocompatible Random Laser for Wearable Applications. NANOMATERIALS (BASEL, SWITZERLAND) 2021; 11:1809. [PMID: 34361195 PMCID: PMC8308224 DOI: 10.3390/nano11071809] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 07/09/2021] [Accepted: 07/09/2021] [Indexed: 12/17/2022]
Abstract
Recently, wearable sensor technology has drawn attention to many health-related appliances due to its varied existing optical, electrical, and mechanical applications. Similarly, we have designed a simple and cheap lift-off fabrication technique for the realization of large-area biocompatible random lasers to customize wearable sensors. A large-area random microcavity comprises a matrix element polymethyl methacrylate (PMMA) in which rhodamine B (RhB, which acts as a gain medium) and gold nanorods (Au NRs, which offer plasmonic feedback) are incorporated via a spin-coating technique. In regards to the respective random lasing device residing on a heterogenous film (area > 100 cm2), upon optical excitation, coherent random lasing with a narrow linewidth (~0.4 nm) at a low threshold (~23 μJ/cm2 per pulse) was successfully attained. Here, we maneuvered the mechanical flexibility of the device to modify the spacing between the feedback agents (Au NRs), which tuned the average wavelength from 612.6 to 624 nm under bending while being a recoverable process. Moreover, the flexible film can potentially be used on human skin such as the finger to serve as a motion and relative-humidity sensor. This work demonstrates a designable and simple method to fabricate a large-area biocompatible random laser for wearable sensing.
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Affiliation(s)
- Kun Ge
- Faculty of Science, College of Physics and Optoelectronics, Beijing University of Technology, Beijing 100124, China; (K.G.); (D.G.); (X.M.); (Z.X.); (A.H.)
| | - Dan Guo
- Faculty of Science, College of Physics and Optoelectronics, Beijing University of Technology, Beijing 100124, China; (K.G.); (D.G.); (X.M.); (Z.X.); (A.H.)
| | - Xiaojie Ma
- Faculty of Science, College of Physics and Optoelectronics, Beijing University of Technology, Beijing 100124, China; (K.G.); (D.G.); (X.M.); (Z.X.); (A.H.)
| | - Zhiyang Xu
- Faculty of Science, College of Physics and Optoelectronics, Beijing University of Technology, Beijing 100124, China; (K.G.); (D.G.); (X.M.); (Z.X.); (A.H.)
| | - Anwer Hayat
- Faculty of Science, College of Physics and Optoelectronics, Beijing University of Technology, Beijing 100124, China; (K.G.); (D.G.); (X.M.); (Z.X.); (A.H.)
| | - Songtao Li
- Department of Mathematics & Physics, North China Electric Power University, Baoding 071000, China;
| | - Tianrui Zhai
- Faculty of Science, College of Physics and Optoelectronics, Beijing University of Technology, Beijing 100124, China; (K.G.); (D.G.); (X.M.); (Z.X.); (A.H.)
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Li MZ, Guo LC, Ding GL, Zhou K, Xiong ZY, Han ST, Zhou Y. Inorganic Perovskite Quantum Dot-Based Strain Sensors for Data Storage and In-Sensor Computing. ACS APPLIED MATERIALS & INTERFACES 2021; 13:30861-30873. [PMID: 34164986 DOI: 10.1021/acsami.1c07928] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Although remarkable improvement has been achieved in stretchable strain sensors, challenges still exist in aspects including intelligent sensing, simultaneous data processing, and scalable fabrication techniques. In this work, a strain-sensitive device is presented by fabricating a CsPbBr3 quantum dots (QDs) floating-gate field-effect transistor (FET) sensing array on thin polyimide (PI) films. The FET exhibits an excellent on/off ratio (>103) and a large memory window (>2 V). With the introduction of CsPbBr3 QDs as the trapping layer, an additional UV response is obtained because of the photogenerated charge carriers that significantly enhance the source-drain current (IDS) of the device. At each electrical state, the IDS varies with the strains and the sensing range is from compressive +12.5% to tensile -10.8%. Excellent data retainability and mechanical durability demonstrate the high quality and reliability of the fabricated sensors. Furthermore, synapse functions including long-term potentiation (LTP), long-term depression (LTD), etc., are emulated at the device level. Linearity factor changes of LTP/LTD in different sensing scenarios demonstrate the reliability of the device and further confirm the different sensing mechanisms with/without UV illumination. Our results exhibit the potential of transistor-based devices for multifunctional intelligent sensing.
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Affiliation(s)
- Ming-Zheng Li
- Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen 518060, P. R. China
| | - Liang-Chao Guo
- Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen 518060, P. R. China
| | - Guang-Long Ding
- Institute for Advanced Study, Shenzhen University, Shenzhen 518060, P. R. China
| | - Kui Zhou
- Institute for Advanced Study, Shenzhen University, Shenzhen 518060, P. R. China
| | - Zi-Yu Xiong
- Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen 518060, P. R. China
| | - Su-Ting Han
- Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen 518060, P. R. China
| | - Ye Zhou
- Institute for Advanced Study, Shenzhen University, Shenzhen 518060, P. R. China
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Noviana E, Ozer T, Carrell CS, Link JS, McMahon C, Jang I, Henry CS. Microfluidic Paper-Based Analytical Devices: From Design to Applications. Chem Rev 2021; 121:11835-11885. [DOI: 10.1021/acs.chemrev.0c01335] [Citation(s) in RCA: 91] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Eka Noviana
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, Indonesia 55281
| | - Tugba Ozer
- Department of Chemistry, Colorado State University, Fort Collins, Colorado 80523, United States
- Department of Bioengineering, Faculty of Chemical and Metallurgical Engineering, Yildiz Technical University, Istanbul, Turkey 34220
| | - Cody S. Carrell
- Department of Chemistry, Colorado State University, Fort Collins, Colorado 80523, United States
| | - Jeremy S. Link
- Department of Chemistry, Colorado State University, Fort Collins, Colorado 80523, United States
| | - Catherine McMahon
- Department of Chemistry, Colorado State University, Fort Collins, Colorado 80523, United States
| | - Ilhoon Jang
- Department of Chemistry, Colorado State University, Fort Collins, Colorado 80523, United States
- Institute of Nano Science and Technology, Hanyang University, Seoul, South Korea 04763
| | - Charles S. Henry
- Department of Chemistry, Colorado State University, Fort Collins, Colorado 80523, United States
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57
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Wang Y, Zhang Q, Tao R, Xie J, Canyelles-Pericas P, Torun H, Reboud J, McHale G, Dodd LE, Yang X, Luo J, Wu Q, Fu Y. Flexible/Bendable Acoustofluidics Based on Thin-Film Surface Acoustic Waves on Thin Aluminum Sheets. ACS APPLIED MATERIALS & INTERFACES 2021; 13:16978-16986. [PMID: 33813830 PMCID: PMC8153544 DOI: 10.1021/acsami.0c22576] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 03/25/2021] [Indexed: 06/12/2023]
Abstract
In this paper, we explore the acoustofluidic performance of zinc oxide (ZnO) thin-film surface acoustic wave (SAW) devices fabricated on flexible and bendable thin aluminum (Al) foils/sheets with thicknesses from 50 to 1500 μm. Directional transport of fluids along these flexible/bendable surfaces offers potential applications for the next generation of microfluidic systems, wearable biosensors and soft robotic control. Theoretical calculations indicate that bending under strain levels up to 3000 με causes a small frequency shift and amplitude change (<0.3%) without degrading the acoustofluidic performance. Through systematic investigation of the effects of the Al sheet thickness on the microfluidic actuation performance for the bent devices, we identify the optimum thickness range to both maintain efficient microfluidic actuation and enable significant deformation of the substrate, providing a guide to design such devices. Finally, we demonstrate efficient liquid transportation across a wide range of substrate geometries including inclined, curved, vertical, inverted, and lateral positioned surfaces using a 200 μm thick Al sheet SAW device.
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Affiliation(s)
- Yong Wang
- The
State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
- Faculty
of Engineering and Environment, University
of Northumbria, Tyne NE1 8ST, U.K.
- Key
Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang
Province, School of Engineering, Westlake
University, Hangzhou 310024, China
| | - Qian Zhang
- The
State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
- Faculty
of Engineering and Environment, University
of Northumbria, Tyne NE1 8ST, U.K.
| | - Ran Tao
- Faculty
of Engineering and Environment, University
of Northumbria, Tyne NE1 8ST, U.K.
- Shenzhen
Key Laboratory of Advanced Thin Films and Applications, College of
Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - Jin Xie
- The
State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
| | - Pep Canyelles-Pericas
- Department
of Integrated Devices and Systems, MESA+ Institute, University of Twente, Enschede 7522NH, The Netherlands
| | - Hamdi Torun
- Faculty
of Engineering and Environment, University
of Northumbria, Tyne NE1 8ST, U.K.
| | - Julien Reboud
- Division
of Biomedical Engineering, James Watt School of Engineering, University of Glasgow, Glasgow G12 8LT, U.K.
| | - Glen McHale
- Institute
for Multiscale Thermofluids, School of Engineering, University of Edinburgh, Kings Buildings, Edinburgh EH9 3FB, U.K.
| | - Linzi E. Dodd
- Faculty
of Engineering and Environment, University
of Northumbria, Tyne NE1 8ST, U.K.
| | - Xin Yang
- Department
of Electrical and Electronic Engineering, School of Engineering, Cardiff University, Cardiff CF24 3AA, U.K.
| | - Jingting Luo
- Shenzhen
Key Laboratory of Advanced Thin Films and Applications, College of
Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - Qiang Wu
- Faculty
of Engineering and Environment, University
of Northumbria, Tyne NE1 8ST, U.K.
| | - YongQing Fu
- Faculty
of Engineering and Environment, University
of Northumbria, Tyne NE1 8ST, U.K.
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Ghaffari R, Rogers JA, Ray TR. Recent progress, challenges, and opportunities for wearable biochemical sensors for sweat analysis. SENSORS AND ACTUATORS. B, CHEMICAL 2021; 332:129447. [PMID: 33542590 PMCID: PMC7853653 DOI: 10.1016/j.snb.2021.129447] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Sweat is a promising, yet relatively unexplored biofluid containing biochemical information that offers broad insights into the underlying dynamic metabolic activity of the human body. The rich composition of electrolytes, metabolites, hormones, proteins, nucleic acids, micronutrients, and exogenous agents found in sweat dynamically vary in response to the state of health, stress, and diet. Emerging classes of skin-interfaced wearable sensors offer powerful capabilities for the real-time, continuous analysis of sweat produced by the eccrine glands in a manner suitable for use in athletics, consumer wellness, military, and healthcare industries. This perspective examines the rapid and continuous progress of wearable sweat sensors through the most advanced embodiments that address the fundamental challenges currently restricting widespread deployment. It concludes with a discussion of efforts to expand the overall utility of wearable sweat sensors and opportunities for commercialization, in which advances in biochemical sensor technologies will be critically important.
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Affiliation(s)
- Roozbeh Ghaffari
- -Querrey Simpson Institute for Bioelectronics and Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA
- -Epicore Biosystems, Inc., Cambridge, MA, USA
| | - John A. Rogers
- -Querrey Simpson Institute for Bioelectronics and Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA
- -Epicore Biosystems, Inc., Cambridge, MA, USA
- -Departments of Materials Science and Engineering, Mechanical Engineering, Electrical and Computer Engineering, Chemistry, Northwestern University, Evanston, IL, USA
- -Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Tyler R. Ray
- -Department of Mechanical Engineering, University of Hawai‘i at Mānoa, Honolulu, HI
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Nyein HYY, Bariya M, Tran B, Ahn CH, Brown BJ, Ji W, Davis N, Javey A. A wearable patch for continuous analysis of thermoregulatory sweat at rest. Nat Commun 2021; 12:1823. [PMID: 33758197 PMCID: PMC7987967 DOI: 10.1038/s41467-021-22109-z] [Citation(s) in RCA: 150] [Impact Index Per Article: 37.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 02/24/2021] [Indexed: 11/18/2022] Open
Abstract
The body naturally and continuously secretes sweat for thermoregulation during sedentary and routine activities at rates that can reflect underlying health conditions, including nerve damage, autonomic and metabolic disorders, and chronic stress. However, low secretion rates and evaporation pose challenges for collecting resting thermoregulatory sweat for non-invasive analysis of body physiology. Here we present wearable patches for continuous sweat monitoring at rest, using microfluidics to combat evaporation and enable selective monitoring of secretion rate. We integrate hydrophilic fillers for rapid sweat uptake into the sensing channel, reducing required sweat accumulation time towards real-time measurement. Along with sweat rate sensors, we integrate electrochemical sensors for pH, Cl-, and levodopa monitoring. We demonstrate patch functionality for dynamic sweat analysis related to routine activities, stress events, hypoglycemia-induced sweating, and Parkinson's disease. By enabling sweat analysis compatible with sedentary, routine, and daily activities, these patches enable continuous, autonomous monitoring of body physiology at rest.
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Affiliation(s)
- Hnin Yin Yin Nyein
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
- Berkeley Sensor and Actuator Center, University of California, Berkeley, CA, USA
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Mallika Bariya
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
- Berkeley Sensor and Actuator Center, University of California, Berkeley, CA, USA
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Brandon Tran
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Christine Heera Ahn
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
| | - Brenden Janatpour Brown
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
| | - Wenbo Ji
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
- Berkeley Sensor and Actuator Center, University of California, Berkeley, CA, USA
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Noelle Davis
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
| | - Ali Javey
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA.
- Berkeley Sensor and Actuator Center, University of California, Berkeley, CA, USA.
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
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Abstract
Over the past decades, microfluidic devices based on many advanced techniques have aroused widespread attention in the fields of chemical, biological, and analytical applications. Integration of microdevices with a variety of chip designs will facilitate promising functionality. Notably, the combination of microfluidics with functional nanomaterials may provide creative ideas to achieve rapid and sensitive detection of various biospecies. In this review, focused on the microfluids and microdevices in terms of their fabrication, integration, and functions, we summarize the up-to-date developments in microfluidics-based analysis of biospecies, where biomarkers, small molecules, cells, and pathogens as representative biospecies have been explored in-depth. The promising applications of microfluidic biosensors including clinical diagnosis, food safety control, and environmental monitoring are also discussed. This review aims to highlight the importance of microfluidics-based biosensors in achieving high throughput, highly sensitive, and low-cost analysis and to promote microfluidics toward a wider range of applications.
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Affiliation(s)
- Yanlong Xing
- Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Trauma and Disaster Rescue, The First Affiliated Hospital of Hainan Medical University, College of Pharmacy, Institute of Functional Materials and Molecular Imaging, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
| | - Linlu Zhao
- Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Trauma and Disaster Rescue, The First Affiliated Hospital of Hainan Medical University, College of Pharmacy, Institute of Functional Materials and Molecular Imaging, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
| | - Ziyi Cheng
- Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Trauma and Disaster Rescue, The First Affiliated Hospital of Hainan Medical University, College of Pharmacy, Institute of Functional Materials and Molecular Imaging, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
| | - Chuanzhu Lv
- Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Trauma and Disaster Rescue, The First Affiliated Hospital of Hainan Medical University, College of Pharmacy, Institute of Functional Materials and Molecular Imaging, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
| | - Feifei Yu
- Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Trauma and Disaster Rescue, The First Affiliated Hospital of Hainan Medical University, College of Pharmacy, Institute of Functional Materials and Molecular Imaging, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
| | - Fabiao Yu
- Key Laboratory of Emergency and Trauma, Ministry of Education, Key Laboratory of Hainan Trauma and Disaster Rescue, The First Affiliated Hospital of Hainan Medical University, College of Pharmacy, Institute of Functional Materials and Molecular Imaging, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
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Liu X, Zhang W, Lin Z, Meng Z, Shi C, Xu Z, Yang L, Liu XY. Coupling of Silk Fibroin Nanofibrils Enzymatic Membrane with Ultra-Thin PtNPs/Graphene Film to Acquire Long and Stable On-Skin Sweat Glucose and Lactate Sensing. SMALL METHODS 2021; 5:e2000926. [PMID: 34927831 DOI: 10.1002/smtd.202000926] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 11/23/2020] [Indexed: 06/14/2023]
Abstract
The applications of enzymatic biosensors are largely limited by their relatively poor stability and short lifespan. Herein, a bio-active porous enzymatic nanofiber (PEN) membrane composed of silk fibroin nanofibrils (SFNFs) and enzymes is developed to effectively retain the enzymes in the 3D space. The 3D functional scaffolds formed by SFNFs can immobilize enzymes and provide a large surface area for molecular/ion diffusion and biochemical reactions. The PEN membrane is subsequently attached to an ultra-thin PtNPs/graphene (Pt-G) nanocomposite film to facilitate the electron transport between the enzymes and electrodes, permitting highly effective glucose and lactate sensing with long and stable performance. The as-assembled glucose and lactate sensors demonstrate high sensitivity, good cyclic reproducibility, and in particular long-term stability of up to 25 and 23.6 h, respectively. These glucose sensors have a working life that is ≈1.25-times longer than that of the best available sensors reported so far. Moreover, a wearable platform based on the sensors is developed for real-time analysis of sweat during outdoor exercising to transmit signals to a mobile handset. The high sensitivity, comfort and long-term stability of the device can benefit for long-term in-line surveillance of physiological conditions.
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Affiliation(s)
- Xiaotian Liu
- College of Materials, Research Institute for Biomimetics and Soft Matter, College of Physical Science and Engineering, School of Electronic Science and Engineering, Shenzhen Research Institute of Xiamen University, Xiamen University, 422 Siming Nan Road, Xiamen, 361005, China
| | - Wenli Zhang
- College of Materials, Research Institute for Biomimetics and Soft Matter, College of Physical Science and Engineering, School of Electronic Science and Engineering, Shenzhen Research Institute of Xiamen University, Xiamen University, 422 Siming Nan Road, Xiamen, 361005, China
| | - Zaifu Lin
- College of Materials, Research Institute for Biomimetics and Soft Matter, College of Physical Science and Engineering, School of Electronic Science and Engineering, Shenzhen Research Institute of Xiamen University, Xiamen University, 422 Siming Nan Road, Xiamen, 361005, China
| | - Zhaohui Meng
- College of Materials, Research Institute for Biomimetics and Soft Matter, College of Physical Science and Engineering, School of Electronic Science and Engineering, Shenzhen Research Institute of Xiamen University, Xiamen University, 422 Siming Nan Road, Xiamen, 361005, China
| | - Chenyang Shi
- College of Materials, Research Institute for Biomimetics and Soft Matter, College of Physical Science and Engineering, School of Electronic Science and Engineering, Shenzhen Research Institute of Xiamen University, Xiamen University, 422 Siming Nan Road, Xiamen, 361005, China
| | - Zhijun Xu
- College of Materials, Research Institute for Biomimetics and Soft Matter, College of Physical Science and Engineering, School of Electronic Science and Engineering, Shenzhen Research Institute of Xiamen University, Xiamen University, 422 Siming Nan Road, Xiamen, 361005, China
| | - Likun Yang
- College of Materials, Research Institute for Biomimetics and Soft Matter, College of Physical Science and Engineering, School of Electronic Science and Engineering, Shenzhen Research Institute of Xiamen University, Xiamen University, 422 Siming Nan Road, Xiamen, 361005, China
| | - Xiang Yang Liu
- Department of Physics, National University of Singapore, 2 Science Drive 3, Singapore, 117542, Singapore
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Rabost-Garcia G, Farré-Lladós J, Casals-Terré J. Recent Impact of Microfluidics on Skin Models for Perspiration Simulation. MEMBRANES 2021; 11:membranes11020150. [PMID: 33670063 PMCID: PMC7926414 DOI: 10.3390/membranes11020150] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 02/16/2021] [Accepted: 02/18/2021] [Indexed: 02/07/2023]
Abstract
Skin models offer an in vitro alternative to human trials without their high costs, variability, and ethical issues. Perspiration models, in particular, have gained relevance lately due to the rise of sweat analysis and wearable technology. The predominant approach to replicate the key features of perspiration (sweat gland dimensions, sweat rates, and skin surface characteristics) is to use laser-machined membranes. Although they work effectively, they present some limitations at the time of replicating sweat gland dimensions. Alternative strategies in terms of fabrication and materials have also showed similar challenges. Additional research is necessary to implement a standardized, simple, and accurate model representing sweating for wearable sensors testing.
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Affiliation(s)
- Genís Rabost-Garcia
- Department of Mechanical Engineering, MicroTech Lab, Universitat Politècnica de Catalunya (UPC), C/Colom 7-11, 08222 Terrassa, Spain; (J.F.-L.); (J.C.-T.)
- Onalabs Inno-hub S.L., C/de la Llibertat 11, 08012 Barcelona, Spain
- Correspondence:
| | - Josep Farré-Lladós
- Department of Mechanical Engineering, MicroTech Lab, Universitat Politècnica de Catalunya (UPC), C/Colom 7-11, 08222 Terrassa, Spain; (J.F.-L.); (J.C.-T.)
| | - Jasmina Casals-Terré
- Department of Mechanical Engineering, MicroTech Lab, Universitat Politècnica de Catalunya (UPC), C/Colom 7-11, 08222 Terrassa, Spain; (J.F.-L.); (J.C.-T.)
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Zhou Y, Ma Z, Ai Y. Submicron Particle Concentration and Patterning with Ultralow Frequency Acoustic Vibration. Anal Chem 2020; 92:12795-12800. [DOI: 10.1021/acs.analchem.0c02765] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Yinning Zhou
- Pillar of Engineering Product Development, Singapore University of Technology and Design, Singapore 487372, Singapore
| | - Zhichao Ma
- Max Planck Institute for Intelligent Systems, Stuttgart 70569, Germany
| | - Ye Ai
- Pillar of Engineering Product Development, Singapore University of Technology and Design, Singapore 487372, Singapore
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Arora A, Chakraborty P, Bhatia MPS. Analysis of Data from Wearable Sensors for Sleep Quality Estimation and Prediction Using Deep Learning. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2020. [DOI: 10.1007/s13369-020-04877-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Xin M, Li J, Ma Z, Pan L, Shi Y. MXenes and Their Applications in Wearable Sensors. Front Chem 2020; 8:297. [PMID: 32373590 PMCID: PMC7187791 DOI: 10.3389/fchem.2020.00297] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 03/25/2020] [Indexed: 12/17/2022] Open
Abstract
MXenes, a kind of two-dimensional material of early transition metal carbides and carbonitrides, have emerged as a unique class of layered-structured metallic materials with attractive features, as good conductivity comparable to metals, enhanced ionic conductivity, hydrophilic property derived from their hydroxyl or oxygen-terminated surfaces, and mechanical flexibility. With tunable etching methods, the morphology of MXenes can be effectively controlled to form nanoparticles, single layer, or multi-layer nanosheets, which exhibit large specific surface areas and is favorable for enhancing the sensing performance of MXenes based sensors. Moreover, MXenes are available to form composites with other materials facilely. With structure design, MXenes or its composite show enhanced mechanical flexibility and stretchability, which enabled its wide application in the fields of wearable sensors, energy storage, and electromagnetic shielding. In this review, recent progress in MXenes is summarized, focusing on its application in wearable sensors including pressure/strain sensing, biochemical sensing, temperature, and gas sensing. Furthermore, the main challenges and future research are also discussed.
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Affiliation(s)
- Ming Xin
- Collaborative Innovation Center of Advanced Microstructures, School of Electronic Science and Engineering, Nanjing University, Nanjing, China
| | - Jiean Li
- Collaborative Innovation Center of Advanced Microstructures, School of Electronic Science and Engineering, Nanjing University, Nanjing, China
| | - Zhong Ma
- Collaborative Innovation Center of Advanced Microstructures, School of Electronic Science and Engineering, Nanjing University, Nanjing, China
| | - Lijia Pan
- Collaborative Innovation Center of Advanced Microstructures, School of Electronic Science and Engineering, Nanjing University, Nanjing, China
| | - Yi Shi
- Collaborative Innovation Center of Advanced Microstructures, School of Electronic Science and Engineering, Nanjing University, Nanjing, China
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