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Alagarsamy KN, Saleth LR, Diedkova K, Zahorodna V, Gogotsi O, Pogorielov M, Dhingra S. MXenes in healthcare: transformative applications and challenges in medical diagnostics and therapeutics. NANOSCALE 2025; 17:11785-11811. [PMID: 40261131 DOI: 10.1039/d4nr04853a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/24/2025]
Abstract
MXenes, a novel class of two-dimensional transition metal carbides, exhibit exceptional physicochemical properties that make them highly promising for biomedical applications. Their application has been explored in bioinstrumentation, tissue engineering, and infectious disease management. In bioinstrumentation, MXenes enhance the sensitivity and response time of wearable sensors, including piezoresistive, electrochemical, and electrophysiological sensors. They also function effectively as contrast agents in MRI and CT imaging for cancer diagnostics and therapy. In tissue engineering, MXenes contribute to both hard and soft tissue regeneration, playing a key role in neural, cardiac, skin and bone repair. Additionally, they offer innovative solutions in combating infectious and inflammatory diseases by facilitating antimicrobial surfaces and immune modulation. Despite their potential, several challenges hinder the clinical translation of MXene-based technologies. Issues related to synthesis, scalability, biocompatibility, and long-term safety must be addressed to ensure their practical implementation in medical applications. This review provides a comprehensive overview of MXenes in next-generation medical diagnostics, including the role they play in wearable sensors and imaging contrast agents. It further explores their applications in tissue engineering and infectious disease management, highlighting their antimicrobial and immunomodulatory properties. Finally, we discuss the key barriers to clinical translation and propose strategies for overcoming these limitations. This review aims to bridge current advancements with future opportunities for integration of MXenes in healthcare.
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Affiliation(s)
- Keshav Narayan Alagarsamy
- Institute of Cardiovascular Sciences, St Boniface Hospital Albrechtsen Research Centre, Department of Physiology and Pathophysiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, Biomedical Engineering Program, University of Manitoba, Winnipeg, Manitoba, R2H 2A6, Canada.
| | - Leena Regi Saleth
- Institute of Cardiovascular Sciences, St Boniface Hospital Albrechtsen Research Centre, Department of Physiology and Pathophysiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, Biomedical Engineering Program, University of Manitoba, Winnipeg, Manitoba, R2H 2A6, Canada.
| | - Kateryna Diedkova
- Institute of Atomic Physics and Spectroscopy, University of Latvia, Jelgavas iela 3, Riga, Latvia, LV-1004
- Biomedical Research Center, Sumy State University, Kharkivska street 116, Sumy, Ukraine, 40007
| | - Veronika Zahorodna
- Materials Research Center, 19/33A Yaroslaviv Val/O.Honchara str, Kyiv, 01034, Ukraine
| | - Oleksiy Gogotsi
- Biomedical Research Center, Sumy State University, Kharkivska street 116, Sumy, Ukraine, 40007
- Materials Research Center, 19/33A Yaroslaviv Val/O.Honchara str, Kyiv, 01034, Ukraine
| | - Maksym Pogorielov
- Institute of Atomic Physics and Spectroscopy, University of Latvia, Jelgavas iela 3, Riga, Latvia, LV-1004
- Biomedical Research Center, Sumy State University, Kharkivska street 116, Sumy, Ukraine, 40007
| | - Sanjiv Dhingra
- Institute of Cardiovascular Sciences, St Boniface Hospital Albrechtsen Research Centre, Department of Physiology and Pathophysiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, Biomedical Engineering Program, University of Manitoba, Winnipeg, Manitoba, R2H 2A6, Canada.
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2
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Gao H, You J, Wu H, Tian M. A dual action electrochemical molecular imprinting sensor based on FeCu-MOF and RGO/PDA@MXene hybrid synergies for trace detection of ribavirin. Food Chem 2025; 473:143092. [PMID: 39879747 DOI: 10.1016/j.foodchem.2025.143092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2024] [Revised: 01/14/2025] [Accepted: 01/24/2025] [Indexed: 01/31/2025]
Abstract
In this study, we designed a molecularly imprinted electrochemical sensor based on the reduced graphene oxide/polydopamine@Mxene (RPM) and FeCu-MOF for the detection of antiviral drug ribavirin (RBV). The RPM composite enhances the active surface area and electron transport capacity of the sensor, and the incorporation of FeCu-MOF can not only further improve the catalytic performance of the material, but also enables the sensor to harness the electrical reduction signal of H2O2. Furthermore, we developed an optimized molecularly imprinted polymer via density functional theory (DFT) to enhance the sensor's specificity and sensitivity for RBV detection. The sensor demonstrated detection limits as low as 0.053 nmol L-1 and 0.086 nmol L-1 for differential pulse voltammetry (DPV) and current-time (I-t), respectively. The sensor proposed in this paper was applied to the analysis of real food and surface water samples, yielding recovery rates ranging from 98.3 % to 106.7 %, reaching a satisfactory degree.
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Affiliation(s)
- Haifeng Gao
- Key Laboratory of Photochemical Biomaterials and Energy Storage Materials, Heilongjiang Province, College of Chemistry and Chemical Engineering, Harbin Normal University, Harbin 150025, PR China
| | - Junyi You
- Key Laboratory of Photochemical Biomaterials and Energy Storage Materials, Heilongjiang Province, College of Chemistry and Chemical Engineering, Harbin Normal University, Harbin 150025, PR China
| | - Hongbo Wu
- Key Laboratory of Photochemical Biomaterials and Energy Storage Materials, Heilongjiang Province, College of Chemistry and Chemical Engineering, Harbin Normal University, Harbin 150025, PR China.
| | - Miaomiao Tian
- Key Laboratory of Photochemical Biomaterials and Energy Storage Materials, Heilongjiang Province, College of Chemistry and Chemical Engineering, Harbin Normal University, Harbin 150025, PR China.
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3
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Wang X, Niu H, Gao S, Shen G, Li Y. Bat-Inspired Bionic Bimodal Active Cognitive Electronic Skin with Multisensory Integration Ability. NANO LETTERS 2025; 25:5784-5793. [PMID: 40143540 DOI: 10.1021/acs.nanolett.5c00435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/28/2025]
Abstract
Empowering intelligent robots with cognitive abilities that rival or even surpass those of humans is the key to enabling more complex and sophisticated interactions. Currently, most electronic skins (e-skins) perform excellently in distinguishing shallow object properties, but they still face significant challenges in perceiving deeper object properties. Here, inspired by the multisensory integrated cognition of echolocation and tactility in bats, a bionic bimodal active cognition (BBAC) e-skin is designed. This e-skin utilizes feature fusion machine learning methods to evolve from passive perception to advanced active cognition and, further, constructs a bimodal enhanced intelligent material cognition system based on multilayer perceptron. This system enables intelligent robotic hands integrated with BBAC e-skin to achieve synergistic cognition of dielectric constant, softness, and material types of 8 smooth surface objects through a simple proximity and contact action without strictly controlling the test conditions, significantly surpassing the ability of humans.
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Affiliation(s)
- Xingyu Wang
- School of Information Science and Engineering, University of Jinan, Jinan 250022, China
| | - Hongsen Niu
- School of Information Science and Engineering, University of Jinan, Jinan 250022, China
| | - Song Gao
- School of Information Science and Engineering, University of Jinan, Jinan 250022, China
| | - Guozhen Shen
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
| | - Yang Li
- School of Integrated Circuits, Shandong University, Jinan 250100, China
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Zhu H, Dong D, Wei Y, Lu H, Zhong Y, Wei M, Lai X, Li H, Zeng X. Self-Healing, Degradable, and Biobased Polyurethane Elastomer for High-Performance Piezoresistive Pressure Sensors with a Hump-like Microstructure. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2025; 41:5603-5613. [PMID: 39971615 DOI: 10.1021/acs.langmuir.4c05344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/21/2025]
Abstract
Flexible sensors are widely applied in the fields of electronic skins and wearable devices, yet it is still a big challenge to effectively prolong the lifespan of the damaged sensors and reduce environmental pollution caused by discarded sensors after updating and upgrading. Herein, we proposed a self-healing, degradable, and biobased polyurethane elastomer for high-performance flexible pressure sensors. The elastomer synthesized using fatty diamine as a chain extender possessed a high tensile strength of 13.25 MPa and an elongation at break of 830%, and the self-healing efficiency reached up to 109.2%. Additionally, the elastomer could be fully degraded within 7 days in a 1 mol L-1 NaOH solution with the assistance of ethanol. The elastomer-based pressure sensor with a hump-like microstructure was fabricated with reduced graphene oxide as the conductive material via a simple template method. The sensor showed a high sensitivity of 9.448 kPa-1, a large sensing range of 0-300 kPa, a short response/recovery time of 40/80 ms, and a good sensing stability of 14,000 cycles. Moreover, the sensor was utilized to monitor different human motions, including muscle contraction, joint bending, swallowing, voice recognition, and pulse beat. Importantly, even after being severely damaged, the sensor was able to recover its function in detecting human motions. The findings of this research provide a strategy for the sustainable development of environmentally friendly and functional elastomers and flexible sensors.
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Affiliation(s)
- Hongtao Zhu
- School of Materials Science and Engineering, Key Lab of Guangdong Province for High Property and Functional Polymer Materials, South China University of Technology, Guangzhou 510640, China
| | - Die Dong
- School of Materials Science and Engineering, Key Lab of Guangdong Province for High Property and Functional Polymer Materials, South China University of Technology, Guangzhou 510640, China
| | - Ye Wei
- School of Materials Science and Engineering, Key Lab of Guangdong Province for High Property and Functional Polymer Materials, South China University of Technology, Guangzhou 510640, China
| | - Han Lu
- School of Materials Science and Engineering, Key Lab of Guangdong Province for High Property and Functional Polymer Materials, South China University of Technology, Guangzhou 510640, China
| | - Yunchang Zhong
- School of Materials Science and Engineering, Key Lab of Guangdong Province for High Property and Functional Polymer Materials, South China University of Technology, Guangzhou 510640, China
| | - Ming Wei
- Guangzhou ULink International School, Guangzhou 511458, China
| | - Xuejun Lai
- School of Materials Science and Engineering, Key Lab of Guangdong Province for High Property and Functional Polymer Materials, South China University of Technology, Guangzhou 510640, China
| | - Hongqiang Li
- School of Materials Science and Engineering, Key Lab of Guangdong Province for High Property and Functional Polymer Materials, South China University of Technology, Guangzhou 510640, China
| | - Xingrong Zeng
- School of Materials Science and Engineering, Key Lab of Guangdong Province for High Property and Functional Polymer Materials, South China University of Technology, Guangzhou 510640, China
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Fan L, Wang Z, Yang T, Zhao Q, Wu Z, Wang Y, Qi X, Zhang L. A Wide-Range, Highly Stable Intelligent Flexible Pressure Sensor Based on Micro-Wrinkled SWCNT/rGO-PDMS with Efficient Thermal Shrinkage. BIOSENSORS 2025; 15:122. [PMID: 39997024 PMCID: PMC11852995 DOI: 10.3390/bios15020122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2025] [Revised: 02/15/2025] [Accepted: 02/18/2025] [Indexed: 02/26/2025]
Abstract
Flexible pressure sensors have drawn growing attention in areas like human physiological signal monitoring and human-computer interaction. Nevertheless, it still remains a significant challenge to guarantee their long-term stability while attaining a wide detection range, a minute pressure testing limit, and high sensitivity. Inspired by the wrinkles on animal skins, this paper introduces a flexible pressure sensor with wrinkled microstructures. This sensor is composed of a composite of reduced graphene oxide (rGO), single-walled carbon nanotubes (SWCNTs), and polydimethylsiloxane (PDMS). After optimizing the proportion of the composite materials, the flexible pressure sensor was manufactured using highly efficient heat-shrinkable films. It has a sensitivity as high as 15.364 kPa-1. Owing to the wrinkled microstructures, the sensor can achieve an ultra-wide pressure detection range, with the maximum reaching 1150 kPa, and is capable of detecting water wave vibrations at the minimum level. Moreover, the wrinkled microstructures were locked by PDMS. The sensor acquired waterproof performance and its mechanical stability was enhanced. Even after 18,000 cycles of repeated loading and unloading, its performance remained unchanged. By combining with an artificial neural network, high-precision recognition of different sounds and postures when grasping different objects was realized, with the accuracies reaching 98.3333% and 99.1111%, respectively. Through the integration of flexible WIFI, real-time wireless transmission of sensing data was made possible. In general, the studied sensor can facilitate the application of flexible pressure sensors in fields such as drowning monitoring, remote traditional Chinese medicine, and intelligent voice.
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Affiliation(s)
- Lei Fan
- Key Laboratory of Micro/Nano Devices and Systems, Ministry of Education, North University of China, Taiyuan 030051, China; (Z.W.); (T.Y.); (Q.Z.); (Z.W.); (Y.W.); (X.Q.); (L.Z.)
- State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
| | - Zhaoxin Wang
- Key Laboratory of Micro/Nano Devices and Systems, Ministry of Education, North University of China, Taiyuan 030051, China; (Z.W.); (T.Y.); (Q.Z.); (Z.W.); (Y.W.); (X.Q.); (L.Z.)
- State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
| | - Tao Yang
- Key Laboratory of Micro/Nano Devices and Systems, Ministry of Education, North University of China, Taiyuan 030051, China; (Z.W.); (T.Y.); (Q.Z.); (Z.W.); (Y.W.); (X.Q.); (L.Z.)
- State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
| | - Qiang Zhao
- Key Laboratory of Micro/Nano Devices and Systems, Ministry of Education, North University of China, Taiyuan 030051, China; (Z.W.); (T.Y.); (Q.Z.); (Z.W.); (Y.W.); (X.Q.); (L.Z.)
- State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
| | - Zhixin Wu
- Key Laboratory of Micro/Nano Devices and Systems, Ministry of Education, North University of China, Taiyuan 030051, China; (Z.W.); (T.Y.); (Q.Z.); (Z.W.); (Y.W.); (X.Q.); (L.Z.)
- State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
| | - Yijie Wang
- Key Laboratory of Micro/Nano Devices and Systems, Ministry of Education, North University of China, Taiyuan 030051, China; (Z.W.); (T.Y.); (Q.Z.); (Z.W.); (Y.W.); (X.Q.); (L.Z.)
- State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
| | - Xue Qi
- Key Laboratory of Micro/Nano Devices and Systems, Ministry of Education, North University of China, Taiyuan 030051, China; (Z.W.); (T.Y.); (Q.Z.); (Z.W.); (Y.W.); (X.Q.); (L.Z.)
- State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
| | - Lei Zhang
- Key Laboratory of Micro/Nano Devices and Systems, Ministry of Education, North University of China, Taiyuan 030051, China; (Z.W.); (T.Y.); (Q.Z.); (Z.W.); (Y.W.); (X.Q.); (L.Z.)
- State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
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Wang C, Xu L, Zheng J, Zhu Z, Huang Z, Hu C, Liu B. Polyvinyl alcohol /chitosan biomimetic hydrogel enhanced by MXene for excellent electromagnetic shielding and pressure sensing. Int J Biol Macromol 2024; 278:134354. [PMID: 39098664 DOI: 10.1016/j.ijbiomac.2024.134354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 07/18/2024] [Accepted: 07/29/2024] [Indexed: 08/06/2024]
Abstract
Traditional electromagnetic shielding materials are difficult to realize practical applications due to excessive fillers, poor mechanical properties, and difficulty in preservation, etc. Hydrogel is a biomaterial with good biocompatibility and sustainability, which not only can overcome the aforementioned issues, but its biomimetic hierarchical porous structure also enables multifunctional applications. In this paper, a honeycomb-like unidirectional porous wall structured hydrogel is prepared by a simple freeze-thaw cycle and salting out method. Polyvinyl alcohol (PVA) and chitosan (CS) form a double cross-linked network (DN) enhanced by MXene, resulting in excellent mechanical and flexibility. Due to the synergistic effects of MXene, water, Fe3O4, abundant interfaces and micrometer porous wall structure, the electromagnetic shielding performance is enhanced. EMI SE increases by 30.7 dB as the MXene concentration increases from 0 to 1.5 wt%, and EMI SE increases from 7.9 to 66.7 dB as the water content increases from 0 to 76 %. Besides this, we encapsulate the hydrogel into a simple sensor, the signal response is rapid, the response /recovery time is 50/100 ms respectively, and it exhibits good sensitivity (0.0187 kPa-1). Different signals are generated based on variations in pressure, which holds significant importance for the development of wearable flexible sensors and information encoding.
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Affiliation(s)
- Chen Wang
- Key Lab of Science and Technology of Eco-textile, Ministry of Education, College of Chemistry, Chemical Engineering, Innovation Center for Textile Science and Technology, Donghua University, No. 2999 North Renmin Road, Shanghai 201620, China
| | - Lihui Xu
- Shanghai University of Engineering Science, Shanghai 201620, China
| | - Jian Zheng
- Key Lab of Science and Technology of Eco-textile, Ministry of Education, College of Chemistry, Chemical Engineering, Innovation Center for Textile Science and Technology, Donghua University, No. 2999 North Renmin Road, Shanghai 201620, China
| | - Zhijia Zhu
- Key Lab of Science and Technology of Eco-textile, Ministry of Education, College of Chemistry, Chemical Engineering, Innovation Center for Textile Science and Technology, Donghua University, No. 2999 North Renmin Road, Shanghai 201620, China
| | - Zhangmi Huang
- Key Lab of Science and Technology of Eco-textile, Ministry of Education, College of Chemistry, Chemical Engineering, Innovation Center for Textile Science and Technology, Donghua University, No. 2999 North Renmin Road, Shanghai 201620, China
| | - Chunyan Hu
- Key Lab of Science and Technology of Eco-textile, Ministry of Education, College of Chemistry, Chemical Engineering, Innovation Center for Textile Science and Technology, Donghua University, No. 2999 North Renmin Road, Shanghai 201620, China.
| | - Baojiang Liu
- Key Lab of Science and Technology of Eco-textile, Ministry of Education, College of Chemistry, Chemical Engineering, Innovation Center for Textile Science and Technology, Donghua University, No. 2999 North Renmin Road, Shanghai 201620, China.
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Yang Y, Yang S, Xia X, Hui S, Wang B, Zou B, Zhang Y, Sun J, Xin JH. MXenes for Wearable Physical Sensors toward Smart Healthcare. ACS NANO 2024; 18:24705-24740. [PMID: 39186373 DOI: 10.1021/acsnano.4c08258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/28/2024]
Abstract
The gradual rise of personal healthcare awareness is accelerating the deployment of wearable sensors, whose ability of acquiring physiological vital signs depends on sensing materials. MXenes have distinct chemical and physical superiorities over other 2D nanomaterials for wearable sensors. This review presents a comprehensive summary of the latest advancements in MXenes-based materials for wearable physical sensors. It begins with an introduction to special structural features of MXenes for sensing performance, followed by an in-depth exploration of versatile functionalities. A detailed description of different sensing mechanisms is also included to illustrate the contribution of MXenes to the sensing performance and its improvement. In addition, the real-world applications of MXenes-based physical sensors for monitoring different physiological signs are included as well. The remaining challenges of MXenes-based materials for wearable physical sensors and their promising opportunities are finally narrated, in conjunction with a prospective for future development.
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Affiliation(s)
- Yixuan Yang
- State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, MOE Key Laboratory of New Processing Technology for Nonferrous Metals and Materials, and School of Resources, Environment and Materials, Guangxi University, Nanning 530004, P. R. China
| | - Shenglin Yang
- State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, MOE Key Laboratory of New Processing Technology for Nonferrous Metals and Materials, and School of Resources, Environment and Materials, Guangxi University, Nanning 530004, P. R. China
| | - Xiaohu Xia
- State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, MOE Key Laboratory of New Processing Technology for Nonferrous Metals and Materials, and School of Resources, Environment and Materials, Guangxi University, Nanning 530004, P. R. China
| | - Shigang Hui
- State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, MOE Key Laboratory of New Processing Technology for Nonferrous Metals and Materials, and School of Resources, Environment and Materials, Guangxi University, Nanning 530004, P. R. China
| | - Ben Wang
- College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518055, P. R. China
| | - Bingsuo Zou
- State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, MOE Key Laboratory of New Processing Technology for Nonferrous Metals and Materials, and School of Resources, Environment and Materials, Guangxi University, Nanning 530004, P. R. China
| | - Yabin Zhang
- State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, MOE Key Laboratory of New Processing Technology for Nonferrous Metals and Materials, and School of Resources, Environment and Materials, Guangxi University, Nanning 530004, P. R. China
| | - Jianping Sun
- School of Resources, Environment and Materials, Guangxi University, Nanning 530004, P. R. China
| | - John H Xin
- Research Institute for Intelligent Wearable Systems School of Fashion and Textiles, The Hong Kong Polytechnic University Hung Hom, Kowloon, Hong Kong, China
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Qin R, Nong J, Wang K, Liu Y, Zhou S, Hu M, Zhao H, Shan G. Recent Advances in Flexible Pressure Sensors Based on MXene Materials. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2312761. [PMID: 38380773 DOI: 10.1002/adma.202312761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 01/23/2024] [Indexed: 02/22/2024]
Abstract
In the past decade, with the rapid development of wearable electronics, medical health monitoring, the Internet of Things, and flexible intelligent robots, flexible pressure sensors have received unprecedented attention. As a very important kind of electronic component for information transmission and collection, flexible pressure sensors have gained a wide application prospect in the fields of aerospace, biomedical and health monitoring, electronic skin, and human-machine interface. In recent years, MXene has attracted extensive attention because of its unique 2D layered structure, high conductivity, rich surface terminal groups, and hydrophilicity, which has brought a new breakthrough for flexible sensing. Thus, it has become a revolutionary pressure-sensitive material with great potential. In this work, the recent advances of MXene-based flexible pressure sensors are reviewed from the aspects of sensing type, sensing mechanism, material selection, structural design, preparation strategy, and sensing application. The methods and strategies to improve the performance of MXene-based flexible pressure sensors are analyzed in details. Finally, the opportunities and challenges faced by MXene-based flexible pressure sensors are discussed. This review will bring the research and development of MXene-based flexible sensors to a new high level, promoting the wider research exploitation and practical application of MXene materials in flexible pressure sensors.
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Affiliation(s)
- Ruzhan Qin
- College of Automation, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
- School of Instrumentation Science and Opto-electronic Engineering, Beihang University, Beijing, 100191, China
- School of Physics and Electronic Engineering, Guangzhou University, Guangzhou, 510006, China
| | - Juan Nong
- College of Chemistry and Materials Science, Jinan University, Guangzhou, 510632, China
| | - Keqiang Wang
- College of Automation, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Yishen Liu
- Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangdong Key Laboratory of Modern Control Technology, Guangzhou, 510070, China
| | - Songbin Zhou
- Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangdong Key Laboratory of Modern Control Technology, Guangzhou, 510070, China
| | - Mingjun Hu
- School of Materials Science and Engineering, Beihang University, Beijing, 100191, China
| | - Hongbin Zhao
- State Key Laboratory of Advanced Materials for Smart Sensing, General Research Institute for Nonferrous Metals, Beijing, 100088, China
| | - Guangcun Shan
- School of Instrumentation Science and Opto-electronic Engineering, Beihang University, Beijing, 100191, China
- College of Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR, 10068, China
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Du C, Zhang H, Liu X, Zhou S, Ma Y, Li S, Zhang Y. Flexible and Simply Degradable MXene-Methylcellulose Piezoresistive Sensor for Human Motion Detection. ACS APPLIED MATERIALS & INTERFACES 2024; 16:12996-13005. [PMID: 38422506 DOI: 10.1021/acsami.3c16125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Flexible pressure sensors are intensively demanded in various fields such as electronic skin, medical and health detection, wearable electronics, etc. MXene is considered an excellent sensing material due to its benign metal conductivity and adjustable interlayer distance. Exhibiting both high sensitivity and long-term stability is currently an urgent pursuit in MXene-based flexible pressure sensors. In this work, high-strength methylcellulose was introduced into the MXene film to increase the interlayer distance of 2D nanosheets and fundamentally overcome the self-stacking problem. Thus, concurrent improvement of the sensing capability and mechanical strength was obtained. By appropriately modulating the ratio of methylcellulose and MXene, the obtained pressure sensor presents a high sensitivity of 19.41 kPa-1 (0.88-24.09 kPa), good stability (10000 cycles), and complete biodegradation in H2O2 solution within 2 days. Besides, the sensor is capable of detecting a wide range of human activities (pulse, gesture, joint movement, etc.) and can precisely recognize spatial pressure distribution, which serves as a good candidate for next-generation wearable electronic devices.
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Affiliation(s)
- Changzhou Du
- State Key Laboratory of Silicate Materials for Architectures, Center for Smart Materials and Device Integration, School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, P. R. China
| | - Hongjian Zhang
- State Key Laboratory of Silicate Materials for Architectures, Center for Smart Materials and Device Integration, School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, P. R. China
| | - Xiaofei Liu
- State Key Laboratory of Silicate Materials for Architectures, Center for Smart Materials and Device Integration, School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, P. R. China
| | - Shengyang Zhou
- State Key Laboratory of Silicate Materials for Architectures, Center for Smart Materials and Device Integration, School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, P. R. China
| | - Yanan Ma
- Hubei Key Laboratory of Energy Storage and Power Battery, School of Mathematics, Physics and Optoelectronic Engineering, Hubei University of Automotive Technology, Shiyan 442002, P. R. China
| | - Shuxuan Li
- State Key Laboratory of Silicate Materials for Architectures, Center for Smart Materials and Device Integration, School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, P. R. China
| | - Yong Zhang
- State Key Laboratory of Silicate Materials for Architectures, Center for Smart Materials and Device Integration, School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, P. R. China
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Li Z, Guan T, Zhang W, Liu J, Xiang Z, Gao Z, He J, Ding J, Bian B, Yi X, Wu Y, Liu Y, Shang J, Li R. Highly Sensitive Pressure Sensor Based on Elastic Conductive Microspheres. SENSORS (BASEL, SWITZERLAND) 2024; 24:1640. [PMID: 38475176 DOI: 10.3390/s24051640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 02/15/2024] [Accepted: 02/29/2024] [Indexed: 03/14/2024]
Abstract
Elastic pressure sensors play a crucial role in the digital economy, such as in health care systems and human-machine interfacing. However, the low sensitivity of these sensors restricts their further development and wider application prospects. This issue can be resolved by introducing microstructures in flexible pressure-sensitive materials as a common method to improve their sensitivity. However, complex processes limit such strategies. Herein, a cost-effective and simple process was developed for manufacturing surface microstructures of flexible pressure-sensitive films. The strategy involved the combination of MXene-single-walled carbon nanotubes (SWCNT) with mass-produced Polydimethylsiloxane (PDMS) microspheres to form advanced microstructures. Next, the conductive silica gel films with pitted microstructures were obtained through a 3D-printed mold as flexible electrodes, and assembled into flexible resistive pressure sensors. The sensor exhibited a sensitivity reaching 2.6 kPa-1 with a short response time of 56 ms and a detection limit of 5.1 Pa. The sensor also displayed good cyclic stability and time stability, offering promising features for human health monitoring applications.
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Grants
- U22A20248, 52127803, 51931011, 51971233, 62174165, 52201236, M-0152, U20A6001, U1909215, and 52105286 National Natural Science Foundation of China
- 174433KYSB20200013 External Cooperation Program of Chinese Academy of Sciences
- GJTD-2020-11 the K.C. Wong Education Foundation
- 2022080 the Chinese Academy of Sciences Youth Innovation Promotion Association
- 2022C01032 the "Pioneer" and "Leading Goose" R&D Program of Zhejiang
- 2021C01183, 2021C01039 the Zhejiang Provincial Key R&D Program
- 2022R52004 the "High-level talent special support plan" technology innovation leading talent project of Zhejiang Province
- LD22E010002 the Natural Science Foundation of Zhejiang Province
- LGG20F010006 the Zhejiang Provincial Basic Public Welfare Research Project
- 2020Z022 the Ningbo Scientific and Technological Innovation 2025 Major Project
- 2022M723251 the China Postdoctoral Foundation
- 2023J049 National Science Foundation of Ningbo
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Affiliation(s)
- Zhangling Li
- CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tong Guan
- School of Materials Science and Engineering, Shanghai University, Shanghai 200072, China
| | - Wuxu Zhang
- CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jinyun Liu
- CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ziyin Xiang
- CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
| | - Zhiyi Gao
- CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
| | - Jing He
- School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne 3122, Australia
| | - Jun Ding
- Department of Materials Science and Engineering, National University of Singapore, Singapore 119260, Singapore
| | - Baoru Bian
- CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
| | - Xiaohui Yi
- CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
| | - Yuanzhao Wu
- CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
| | - Yiwei Liu
- CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
| | - Jie Shang
- CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
| | - Runwei Li
- CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
- Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
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11
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Zhang H, Chen X, Liu Y, Yang C, Liu W, Qi M, Zhang D. PDMS Film-Based Flexible Pressure Sensor Array with Surface Protruding Structure for Human Motion Detection and Wrist Posture Recognition. ACS APPLIED MATERIALS & INTERFACES 2024; 16:2554-2563. [PMID: 38166372 DOI: 10.1021/acsami.3c14036] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2024]
Abstract
Flexible pressure sensors have been widely concerned because of their great application potential in the fields of electronic skin, human-computer interaction, health detection, and so on. In this paper, a flexible pressure sensor is designed, with polydimethylsiloxane (PDMS) films with protruding structure as elastic substrate and poly(3,4-ethylenedioxythiophene)/poly(styrenesulfonate) (PEDOT:PSS)/cellulose nanocrystals (CNC) as conductive-sensitive material. The flexible pressure sensor has a wide linear detection range (0-100 kPa), outstanding sensitivity (2.32 kPa-1), and stability of more than 2000 cycles. The sensor has been proven to be able to detect a wide range of human movements (finger bending, elbow bending, etc.) and small movements (breathing, pulse, etc.). In addition, the pressure sensor array can detect the pressure distribution and judge the shape of the object. A smart wristband equipped with four flexible pressure sensors is designed. Among them, the k-nearest neighbor (KNN) algorithm is used to classify sensor data to achieve high accuracy (99.52%) recognition of seven kinds of wrist posture. This work provides a new opportunity to fabricate simple, flexible pressure sensors with potential applications in the next-generation electronic skin, health detection, and intelligent robotics.
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Affiliation(s)
- Hao Zhang
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
| | - Xiaoya Chen
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
| | - Yan Liu
- China Automotive Engineering Research Institute Co., Ltd., Chongqing 401122, China
| | - Chunqing Yang
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
| | - Wenzhe Liu
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
| | - Mingyu Qi
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
| | - Dongzhi Zhang
- College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
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12
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Tian H, Li X, Gou GY, Jian JM, Zhu B, Ji S, Ding H, Guo Z, Yang Y, Ren TL. Graphene-based Two-Stage Enhancement Pressure Sensor for Subtle Mechanical Force Monitoring. ACS APPLIED MATERIALS & INTERFACES 2024; 16:1005-1014. [PMID: 38134343 DOI: 10.1021/acsami.3c12422] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2023]
Abstract
The development of pressure sensors with high sensitivity and a low detection limit for subtle mechanical force monitoring and the understanding of the sensing mechanism behind subtle mechanical force monitoring are of great significance for intelligent technology. Here, we proposed a graphene-based two-stage enhancement pressure sensor (GTEPS), and we analyzed the difference between subtle mechanical force monitoring and conventional mechanical force monitoring. The GTEPS exhibited a high sensitivity of 62.2 kPa-1 and a low detection limit of 0.1 Pa. Leveraging its excellent performance, the GTEPS was successfully applied in various subtle mechanical force monitoring applications, including acoustic wave detection, voice-print recognition, and pulse wave monitoring. In acoustic wave detection, the GTEPS achieved a 100% recognition accuracy for six words. In voiceprint recognition, the sensor exhibited accurate identification of distinct voiceprints among individuals. Furthermore, in pulse wave monitoring, GTEPS demonstrated effective detection of pulse waves. By combination of the pulse wave signals with electrocardiogram (ECG) signals, it enabled the assessment of blood pressure. These results demonstrate the excellent performance of GTEPS and highlight its great potential for subtle mechanical force monitoring and its various applications. The current results indicate that GTEPS shows great potential for applications in subtle mechanical force monitoring.
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Affiliation(s)
- He Tian
- School of Integrated Circuits & Beijing National Research on Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Xiaoshi Li
- School of Integrated Circuits & Beijing National Research on Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Guang-Yang Gou
- Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
| | - Jin-Ming Jian
- School of Integrated Circuits & Beijing National Research on Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Boyi Zhu
- School of Integrated Circuits & Beijing National Research on Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Shourui Ji
- School of Integrated Circuits & Beijing National Research on Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Hengbin Ding
- School of Integrated Circuits & Beijing National Research on Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Zhanfeng Guo
- School of Integrated Circuits & Beijing National Research on Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Yi Yang
- School of Integrated Circuits & Beijing National Research on Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Tian-Ling Ren
- School of Integrated Circuits & Beijing National Research on Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
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13
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Liu H, Zhang Q, Yang N, Jiang X, Wang F, Yan X, Zhang X, Zhao Y, Cheng T. Ti 3C 2T x MXene Paper-Based Wearable and Degradable Pressure Sensor for Human Motion Detection and Encrypted Information Transmission. ACS APPLIED MATERIALS & INTERFACES 2023; 15:44554-44562. [PMID: 37695309 DOI: 10.1021/acsami.3c09176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Paper-based flexible sensors are of great significance for promoting the development of green wearable electronic devices due to their good degradability and low cost. In this work, a paper-based wearable pressure sensor with a sandwich structure is proposed, which is assembled from a sensing layer printed with Ti3C2Tx MXene ink, an interdigitated electrode printed in the same simple and economical way, and two polyethylene terephthalate films. The demonstrated paper-based pressure sensor exhibits excellent sensitivity in a wide pressure sensing range, as well as cyclic stability at a certain pressure. The sensor can be attached to the human body's surface to monitor various pressure-related physical activities. Using a self-designed mobile phone APP, the special pressure signals collected from the sensor can be transmitted and translated, and an intelligent and encrypted information transmission system can be established. Since only ordinary printing paper and Ti3C2Tx MXene ink are used, the pressure sensor is easy to prepare, economical, and environmentally friendly, and it can be degraded by stirring in water without generating electronic waste. It can be foreseen that the proposed sensor shows bright application potential in the sustainable development of healthcare and human-computer interaction fields.
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Affiliation(s)
- Hailian Liu
- State Key Laboratory of Synthetical Automation for Process Industries, College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
| | - Qi Zhang
- State Key Laboratory of Synthetical Automation for Process Industries, College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
| | - Ning Yang
- State Key Laboratory of Synthetical Automation for Process Industries, College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
| | - Xuezheng Jiang
- Faculty of Robot Science and Engineering, Northeastern University, Shenyang 110819, China
| | - Fang Wang
- State Key Laboratory of Synthetical Automation for Process Industries, College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
| | - Xin Yan
- State Key Laboratory of Synthetical Automation for Process Industries, College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
| | - Xuenan Zhang
- State Key Laboratory of Synthetical Automation for Process Industries, College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
| | - Yong Zhao
- Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology, Qinhuangdao 066004, China
| | - Tonglei Cheng
- State Key Laboratory of Synthetical Automation for Process Industries, College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
- Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology, Qinhuangdao 066004, China
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14
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Zhao X, Zhao S, Zhang X, Su Z. Recent progress in flexible pressure sensors based on multiple microstructures: from design to application. NANOSCALE 2023; 15:5111-5138. [PMID: 36852534 DOI: 10.1039/d2nr06084a] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Flexible pressure sensors (FPSs) have been widely studied in the fields of wearable medical monitoring and human-machine interaction due to their high flexibility, light weight, sensitivity, and easy integration. To better meet these application requirements, key sensing properties such as sensitivity, linear sensing range, pressure detection limits, response/recovery time, and durability need to be effectively improved. Therefore, researchers have extensively and profoundly researched and innovated on the structure of sensors, and various microstructures have been designed and applied to effectively improve the sensing performance of sensors. Compared with single microstructures, multiple microstructures (MMSs) (including hierarchical, multi-layered and hybrid microstructures) can improve the sensing performance of sensors to a greater extent. This paper reviews the recent research progress in the design and application of FPSs with MMSs and systematically summarizes the types, sensing mechanisms, and preparation methods of MMSs. In addition, we summarize the applications of FPSs with MMSs in the fields of human motion detection, health monitoring, and human-computer interaction. Finally, we provide an outlook on the prospects and challenges for the development of FPSs.
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Affiliation(s)
- Xin Zhao
- State Key Laboratory of Chemical Resource Engineering, Beijing Key Laboratory of Advanced Functional Polymer Composites, Beijing University of Chemical Technology, 100029 Beijing, China.
| | - Shujing Zhao
- State Key Laboratory of Chemical Resource Engineering, Beijing Key Laboratory of Advanced Functional Polymer Composites, Beijing University of Chemical Technology, 100029 Beijing, China.
| | - Xiaoyuan Zhang
- State Key Laboratory of Chemical Resource Engineering, Beijing Key Laboratory of Advanced Functional Polymer Composites, Beijing University of Chemical Technology, 100029 Beijing, China.
| | - Zhiqiang Su
- State Key Laboratory of Chemical Resource Engineering, Beijing Key Laboratory of Advanced Functional Polymer Composites, Beijing University of Chemical Technology, 100029 Beijing, China.
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15
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Pang J, Peng S, Hou C, Zhao H, Fan Y, Ye C, Zhang N, Wang T, Cao Y, Zhou W, Sun D, Wang K, Rümmeli MH, Liu H, Cuniberti G. Applications of Graphene in Five Senses, Nervous System, and Artificial Muscles. ACS Sens 2023; 8:482-514. [PMID: 36656873 DOI: 10.1021/acssensors.2c02790] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Graphene remains of great interest in biomedical applications because of biocompatibility. Diseases relating to human senses interfere with life satisfaction and happiness. Therefore, the restoration by artificial organs or sensory devices may bring a bright future by the recovery of senses in patients. In this review, we update the most recent progress in graphene based sensors for mimicking human senses such as artificial retina for image sensors, artificial eardrums, gas sensors, chemical sensors, and tactile sensors. The brain-like processors are discussed based on conventional transistors as well as memristor related neuromorphic computing. The brain-machine interface is introduced for providing a single pathway. Besides, the artificial muscles based on graphene are summarized in the means of actuators in order to react to the physical world. Future opportunities remain for elevating the performances of human-like sensors and their clinical applications.
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Affiliation(s)
- Jinbo Pang
- Collaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong, Institute for Advanced Interdisciplinary Research (iAIR), University of Jinan, Jinan 250022, China
| | - Songang Peng
- High-Frequency High-Voltage Device and Integrated Circuits R&D Center and Key Laboratory of Microelectronic Devices & Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Chongyang Hou
- Collaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong, Institute for Advanced Interdisciplinary Research (iAIR), University of Jinan, Jinan 250022, China
| | - Hongbin Zhao
- State Key Laboratory of Advanced Materials for Smart Sensing, GRINM Group Co. Ltd., Xinwai Street 2, Beijing 100088, People's Republic of China
| | - Yingju Fan
- School of Chemistry and Chemical Engineering, University of Jinan, Shandong, Jinan 250022, China
| | - Chen Ye
- School of Chemistry and Chemical Engineering, University of Jinan, Shandong, Jinan 250022, China
| | - Nuo Zhang
- School of Chemistry and Chemical Engineering, University of Jinan, Shandong, Jinan 250022, China
| | - Ting Wang
- State Key Laboratory of Biobased Material and Green Papermaking and People's Republic of China School of Bioengineering, Qilu University of Technology, Shandong Academy of Sciences, No. 3501 Daxue Road, Jinan 250353, People's Republic of China
| | - Yu Cao
- Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology (Ministry of Education) and School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
| | - Weijia Zhou
- Collaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong, Institute for Advanced Interdisciplinary Research (iAIR), University of Jinan, Jinan 250022, China
| | - Ding Sun
- School of Electrical and Computer Engineering, Jilin Jianzhu University, Changchun 130118, P. R. China
| | - Kai Wang
- School of Electrical Engineering, Weihai Innovation Research Institute, Qingdao University, Qingdao 266000, China
| | - Mark H Rümmeli
- Leibniz Institute for Solid State and Materials Research Dresden, Dresden, D-01171, Germany.,College of Energy, Soochow Institute for Energy and Materials Innovations, and Key Laboratory of Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu Province, Soochow University, Suzhou 215006, China.,Centre of Polymer and Carbon Materials, Polish Academy of Sciences, M. Curie Sklodowskiej 34, Zabrze 41-819, Poland.,Institute for Complex Materials, IFW Dresden, 20 Helmholtz Strasse, Dresden 01069, Germany.,Center for Energy and Environmental Technologies, VŠB-Technical University of Ostrava, 17. Listopadu 15, Ostrava 708 33, Czech Republic
| | - Hong Liu
- Collaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong, Institute for Advanced Interdisciplinary Research (iAIR), University of Jinan, Jinan 250022, China.,State Key Laboratory of Crystal Materials, Center of Bio & Micro/Nano Functional Materials, Shandong University, 27 Shandanan Road, Jinan 250100, China
| | - Gianaurelio Cuniberti
- Institute for Materials Science and Max Bergmann Center of Biomaterials and Center for Advancing Electronics Dresden, Technische Universität Dresden, Dresden 01069, Germany
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16
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Nan X, Wang X, Kang T, Zhang J, Dong L, Dong J, Xia P, Wei D. Review of Flexible Wearable Sensor Devices for Biomedical Application. MICROMACHINES 2022; 13:1395. [PMID: 36144018 PMCID: PMC9505309 DOI: 10.3390/mi13091395] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 08/22/2022] [Accepted: 08/23/2022] [Indexed: 05/26/2023]
Abstract
With the development of cross-fertilisation in various disciplines, flexible wearable sensing technologies have emerged, bringing together many disciplines, such as biomedicine, materials science, control science, and communication technology. Over the past few years, the development of multiple types of flexible wearable devices that are widely used for the detection of human physiological signals has proven that flexible wearable devices have strong biocompatibility and a great potential for further development. These include electronic skin patches, soft robots, bio-batteries, and personalised medical devices. In this review, we present an updated overview of emerging flexible wearable sensor devices for biomedical applications and a comprehensive summary of the research progress and potential of flexible sensors. First, we describe the selection and fabrication of flexible materials and their excellent electrochemical properties. We evaluate the mechanisms by which these sensor devices work, and then we categorise and compare the unique advantages of a variety of sensor devices from the perspective of in vitro and in vivo sensing, as well as some exciting applications in the human body. Finally, we summarise the opportunities and challenges in the field of flexible wearable devices.
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Affiliation(s)
- Xueli Nan
- School of Automation and Software Engineering, Shanxi University, Taiyuan 030006, China
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Xin Wang
- School of Automation and Software Engineering, Shanxi University, Taiyuan 030006, China
| | - Tongtong Kang
- School of Automation and Software Engineering, Shanxi University, Taiyuan 030006, China
| | - Jiale Zhang
- School of Automation and Software Engineering, Shanxi University, Taiyuan 030006, China
| | - Lanxiao Dong
- School of Automation and Software Engineering, Shanxi University, Taiyuan 030006, China
| | - Jinfeng Dong
- School of Automation and Software Engineering, Shanxi University, Taiyuan 030006, China
| | - Peng Xia
- School of Mathematical Sciences, Shanxi University, Taiyuan 030006, China
| | - Donglai Wei
- School of Mathematical Sciences, Shanxi University, Taiyuan 030006, China
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