1
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Tan J, Sun J, Ye T, Liu H, Liu J, Wang C. Bioinspired Low-Angle-Dependent Photonic Crystal Elastomer for Highly Sensitive Visual Strain Sensor. ACS APPLIED MATERIALS & INTERFACES 2024. [PMID: 39074378 DOI: 10.1021/acsami.4c06292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/31/2024]
Abstract
Photonic crystals (PCs) possess unique photonic band gap properties that can be used in the field of sensors and smart displays if modulated on the micronano structure. Both nonclose-packed (NCP) structure and high refractive index (RI) contrast of PC play important roles in response sensitivity during stretching. Herein, we constructed an NCP-structured PC strain sensor with high RI by a novel coating-etching strategy. Stretch-induced changes in structural color correspond to the strength of the force, enabling the detection of the strength of the acting force by the naked eye. The flexible 3D cross-linked network constructed by poly(ethylene glycol) phenyl ether acrylate and pentaerythritol tetrakis(3-mercaptopropionate) endows the sensor with excellent elasticity and robustness. The designed PC strain sensor achieves high mechanochromic sensitivity (∼8.3 nm/%, 0.02 to 4.21 MPa) and a substantial reflection peak shift (Δλ = 249 nm). More importantly, the high RI contrast (Δn = 0.43) between CdS and polymers imparts isotropic optical properties, ensuring a broad viewing angle while avoiding misleading signals. The research provides a novel fabrication strategy to construct sensitive PC strain sensors, expanding the prospective applicability to human movement monitoring and secure message encryption.
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Affiliation(s)
- Jialing Tan
- College of Textile Science and Engineering, Jiangnan University, Wuxi 214122, China
| | - Juanjuan Sun
- College of Textile Science and Engineering, Jiangnan University, Wuxi 214122, China
| | - Ting Ye
- College of Textile Science and Engineering, Jiangnan University, Wuxi 214122, China
| | - Hao Liu
- College of Textile Science and Engineering, Jiangnan University, Wuxi 214122, China
| | - Jiayin Liu
- College of Textile Science and Engineering, Jiangnan University, Wuxi 214122, China
| | - Chaoxia Wang
- College of Textile Science and Engineering, Jiangnan University, Wuxi 214122, China
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2
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Wang F, Song D, Zhou C, Li X, Huang Y, Xu W, Liu G, Zhou S. MXene-Based Skin-Like Hydrogel Sensor and Machine Learning-Assisted Handwriting Recognition. ACS APPLIED MATERIALS & INTERFACES 2024. [PMID: 39046871 DOI: 10.1021/acsami.4c10043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/27/2024]
Abstract
Conductive hydrogels are widely used in flexible sensors owing to their adjustable structure, good conductivity, and flexibility. The performance of excellent mechanical properties, high sensitivity, and elastic modulus compatible with human tissues is of great interest in the field of flexible sensors. In this paper, the functional groups of trisodium citrate dihydrate (SC) and MXene form multiple hydrogen bonds in the polymer network to prepare a hydrogel with mechanical properties (Young's modulus (23.5-92 kPa) of similar human tissue (0-100 kPa)), sensitivity (stretched GF is 4.41 and compressed S1 is 5.15 MPa-1), and durability (1000 cycles). The hydrogel is able to sensitively detect deformations caused by strain and stress and can be used in flexible sensors to detect human movement in real time such as fingers, wrists, and walking. In addition, the combination of matrix sensing and machine learning was successfully used for handwriting recognition with an accuracy of 0.9744. The combination of machine learning and flexible sensors shows great potential in areas such as healthcare, information security, and smart homes.
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Affiliation(s)
- Fengying Wang
- School of Chemistry and Materials Science, Ludong University, Yantai 264025, China
| | - Dengke Song
- School of Chemistry and Materials Science, Ludong University, Yantai 264025, China
| | - Can Zhou
- School of Chemistry and Materials Science, Ludong University, Yantai 264025, China
| | - Xusheng Li
- School of Chemistry and Materials Science, Ludong University, Yantai 264025, China
| | - Yang Huang
- School of Chemistry and Materials Science, Ludong University, Yantai 264025, China
| | - Wenlong Xu
- School of Chemistry and Materials Science, Ludong University, Yantai 264025, China
- Shandong Laboratory of Advanced Materials and Green Manufacturing at Yantai, Yantai 264000, China
| | - Guijing Liu
- School of Chemistry and Materials Science, Ludong University, Yantai 264025, China
| | - Song Zhou
- Basic Teaching Department, Yantai Vocational College, Yantai 264670, China
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3
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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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4
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Liu C, Feng Z, Yin T, Wan T, Guan P, Li M, Hu L, Lin CH, Han Z, Xu H, Chen W, Wu T, Liu G, Zhou Y, Peng S, Wang C, Chu D. Multi-Interface Engineering of MXenes for Self-Powered Wearable Devices. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2403791. [PMID: 38780429 DOI: 10.1002/adma.202403791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 05/04/2024] [Indexed: 05/25/2024]
Abstract
Self-powered wearable devices with integrated energy supply module and sensitive sensors have significantly blossomed for continuous monitoring of human activity and the surrounding environment in healthcare sectors. The emerging of MXene-based materials has brought research upsurge in the fields of energy and electronics, owing to their excellent electrochemical performance, large surface area, superior mechanical performance, and tunable interfacial properties, where their performance can be further boosted via multi-interface engineering. Herein, a comprehensive review of recent progress in MXenes for self-powered wearable devices is discussed from the aspects of multi-interface engineering. The fundamental properties of MXenes including electronic, mechanical, optical, and thermal characteristics are discussed in detail. Different from previous review works on MXenes, multi-interface engineering of MXenes from termination regulation to surface modification and their impact on the performance of materials and energy storage/conversion devices are summarized. Based on the interfacial manipulation strategies, potential applications of MXene-based self-powered wearable devices are outlined. Finally, proposals and perspectives are provided on the current challenges and future directions in MXene-based self-powered wearable devices.
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Affiliation(s)
- Chao Liu
- School of Materials Science and Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Ziheng Feng
- School of Materials Science and Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Tao Yin
- School of Materials Science and Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Tao Wan
- School of Materials Science and Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Peiyuan Guan
- School of Materials Science and Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Mengyao Li
- School of Materials Science and Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Long Hu
- School of Materials Science and Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Chun-Ho Lin
- School of Materials Science and Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Zhaojun Han
- School of Chemical Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia
- School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD, 4000, Australia
- CSIRO Manufacturing, 36 Bradfield Road, Lindfield, NSW, 2070, Australia
| | - Haolan Xu
- Future Industries Institute, UniSA STEM, University of South Australia, Mawson Lakes Campus, South Australia, 5095, Australia
| | - Wenlong Chen
- School of Biomedical Engineering, The University of Sydney, Camperdown, NSW, 2050, Australia
| | - Tom Wu
- Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China
| | - Guozhen Liu
- Integrated Devices and Intelligent Diagnosis (ID2) Laboratory, CUHK(SZ)-Boyalife Regenerative Medicine Engineering Joint Laboratory, Biomedical Engineering Programme, School of Medicine, The Chinese University of Hong Kong, Shenzhen, Guangdong, 518172, China
| | - Yang Zhou
- School of Mechanical Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Shuhua Peng
- School of Mechanical Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Chun Wang
- School of Mechanical Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Dewei Chu
- School of Materials Science and Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia
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5
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Lin R, Kou D, Gao L, Li S, Gao Z, Li X, Ma W, Zhang S. Biomimetic Photonic Elastomer Exhibiting Stress/Moisture Reconfigurable Wrinkle-Lattice for Reversible Deformation Information Storage. ACS NANO 2024; 18:13346-13360. [PMID: 38726755 DOI: 10.1021/acsnano.4c03376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Photonic elastomers, capable of converting imperceptible deformations into visible colors, show significant potential in smart materials. However, instantaneous deformation is arduous to record accurately due to the disappearance of optical information after deformation recovery. Herein, inspired by the folding structures of iridocytes in cephalopods, a stress- and moisture-triggered wrinkling and erasure effect is proposed to be introduced in the construction of a photonic elastomer. Implemented in a dual-network polymer framework with modulatable locking, it allows for reversible deformation storage. The photonic elastomer comprises a surface one-dimensional photonic crystal (1DPC) and a poly(dimethylsiloxane) (PDMS) substrate. The deformed 1DPC lattice transforms into a wrinkled state due to a substrate deformation mismatch, preserving strain-induced structural color information through interchain hydrogen bonding and crystalline shape-locking in dual-network polymers. Reading the color provides multidimensional information about the instantaneous deformation degree and distribution. Moreover, the moisture-induced shape-memory feature of the 1DPC can be triggered with a minute amount of water, like fingertip perspiration or humidity change (35% to 80%), to restore the original color. This stress/moisture-responsive photonic elastomer, with its dynamically reconfigurable wrinkle-lattice, holds great promise for applications in mechanical sensing, inkless writing, and anticounterfeiting, significantly enhancing the versatility of photonic materials.
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Affiliation(s)
- Ruicheng Lin
- State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, Dalian University of Technology, Dalian 116024, Liaoning, P. R. China
| | - Donghui Kou
- State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, Dalian University of Technology, Dalian 116024, Liaoning, P. R. China
| | - Lei Gao
- State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, Dalian University of Technology, Dalian 116024, Liaoning, P. R. China
| | - Shi Li
- State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, Dalian University of Technology, Dalian 116024, Liaoning, P. R. China
| | - Zhaoyong Gao
- State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, Dalian University of Technology, Dalian 116024, Liaoning, P. R. China
| | - Xuefen Li
- State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, Dalian University of Technology, Dalian 116024, Liaoning, P. R. China
| | - Wei Ma
- State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, Dalian University of Technology, Dalian 116024, Liaoning, P. R. China
| | - Shufen Zhang
- State Key Laboratory of Fine Chemicals, Frontier Science Center for Smart Materials, Dalian University of Technology, Dalian 116024, Liaoning, P. R. China
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6
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Lee JH, Cho K, Kim JK. Age of Flexible Electronics: Emerging Trends in Soft Multifunctional Sensors. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2310505. [PMID: 38258951 DOI: 10.1002/adma.202310505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 12/27/2023] [Indexed: 01/24/2024]
Abstract
With the commercialization of first-generation flexible mobiles and displays in the late 2010s, humanity has stepped into the age of flexible electronics. Inevitably, soft multifunctional sensors, as essential components of next-generation flexible electronics, have attracted tremendous research interest like never before. This review is dedicated to offering an overview of the latest emerging trends in soft multifunctional sensors and their accordant future research and development (R&D) directions for the coming decade. First, key characteristics and the predominant target stimuli for soft multifunctional sensors are highlighted. Second, important selection criteria for soft multifunctional sensors are introduced. Next, emerging materials/structures and trends for soft multifunctional sensors are identified. Specifically, the future R&D directions of these sensors are envisaged based on their emerging trends, namely i) decoupling of multiple stimuli, ii) data processing, iii) skin conformability, and iv) energy sources. Finally, the challenges and potential opportunities for these sensors in future are discussed, offering new insights into prospects in the fast-emerging technology.
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Affiliation(s)
- Jeng-Hun Lee
- Department of Chemical Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea
| | - Kilwon Cho
- Department of Chemical Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea
| | - Jang-Kyo Kim
- Department of Mechanical Engineering, Khalifa University, P. O. Box 127788, Abu Dhabi, United Arab Emirates
- School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
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7
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Huang J, Chen A, Liao J, Han S, Wu Q, Zhang J, Chen Y, Lin X, Guan L. Physiological sensing system integrated with vibration sensor and frequency gel dampers inspired by spider. MATERIALS HORIZONS 2024; 11:822-834. [PMID: 38018413 DOI: 10.1039/d3mh01719b] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
Recent advances in bioelectronics in mechanical and electrophysiological signal detection are remarkable, but there are still limitations because they are inevitably affected by environmental noise and motion artifacts. Thus, we develop a gel damper-integrated crack sensor inspired by the vibration response of the viscoelastic cuticular pad and slit organs in a spider. Benefitting from the specific crack structure design, the sensor possesses excellent sensing behaviors, including a low detection limit (0.05% strain), ultrafast response ability (3.4 ms) and superior durability (>300 000 cycles). Such typical low-amplitude fast response properties allow the ability to accurately perceive vibration frequency and waveform. In addition, the gel damper exhibits frequency-dependent dynamic mechanical behavior that results in improved stability and reliability of signal acquisition by providing shock resistance and isolating external factors. They effectively attenuate external motion artifacts and low-frequency mechanical noise, resulting in cleaner and more reliable signal acquisition. When the gel damper is combined with the crack-based vibration sensor, the integrated sensor exhibits superior anti-interference capability and frequency selectivity, demonstrating its effectiveness in extracting genuine vocal vibration signals from raw voice recordings. The integration of damping materials with sensors offers an efficient approach to improving signal acquisition and signal quality in various applications.
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Affiliation(s)
- Jianren Huang
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, Fujian Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350108, China.
| | - Anbang Chen
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, Fujian Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350108, China.
| | - Jinrong Liao
- Laboratory of Radiation Oncology and Radiobiology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou 350014, China
| | - Songjiu Han
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, Fujian Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350108, China.
| | - Qirui Wu
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, Fujian Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350108, China.
| | - Jiayu Zhang
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, Fujian Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350108, China.
| | - Yujia Chen
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, Fujian Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350108, China.
| | - Xiandong Lin
- Laboratory of Radiation Oncology and Radiobiology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou 350014, China
| | - Lunhui Guan
- CAS Key Laboratory of Design and Assembly of Functional Nanostructures, Fujian Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350108, China.
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Li M, Sun H, Hou Z, Hao S, Jin L, Wang B. Engineering the Physical Microenvironment into Neural Organoids for Neurogenesis and Neurodevelopment. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2306451. [PMID: 37771182 DOI: 10.1002/smll.202306451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 09/04/2023] [Indexed: 09/30/2023]
Abstract
Understanding the signals from the physical microenvironment is critical for deciphering the processes of neurogenesis and neurodevelopment. The discovery of how surrounding physical signals shape human developing neurons is hindered by the bottleneck of conventional cell culture and animal models. Notwithstanding neural organoids provide a promising platform for recapitulating human neurogenesis and neurodevelopment, building neuronal physical microenvironment that accurately mimics the native neurophysical features is largely ignored in current organoid technologies. Here, it is discussed how the physical microenvironment modulates critical events during the periods of neurogenesis and neurodevelopment, such as neural stem cell fates, neural tube closure, neuronal migration, axonal guidance, optic cup formation, and cortical folding. Although animal models are widely used to investigate the impacts of physical factors on neurodevelopment and neuropathy, the important roles of human stem cell-derived neural organoids in this field are particularly highlighted. Considering the great promise of human organoids, building neural organoid microenvironments with mechanical forces, electrophysiological microsystems, and light manipulation will help to fully understand the physical cues in neurodevelopmental processes. Neural organoids combined with cutting-edge techniques, such as advanced atomic force microscopes, microrobots, and structural color biomaterials might promote the development of neural organoid-based research and neuroscience.
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Affiliation(s)
- Minghui Li
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400045, China
- Southwest Hospital/Southwest Eye Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
| | - Heng Sun
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400045, China
| | - Zongkun Hou
- Key Laboratory of Infectious Immune and Antibody Engineering of Guizhou Province, Engineering Research Center of Cellular Immunotherapy of Guizhou Province, School of Biology and Engineering/School of Basic Medical Sciences, Guizhou Medical University, Guiyang, 550025, China
| | - Shilei Hao
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400045, China
| | - Liang Jin
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400045, China
| | - Bochu Wang
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400045, China
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Wang Q, Lu Z, Wang D, Wang K. Mechanosensor for Proprioception Inspired by Ultrasensitive Trigger Hairs of Venus Flytrap. CYBORG AND BIONIC SYSTEMS 2024; 5:0065. [PMID: 38268766 PMCID: PMC10807870 DOI: 10.34133/cbsystems.0065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 10/05/2023] [Indexed: 01/26/2024] Open
Abstract
Mechanosensors, as the core component of a proprioceptive system, can detect many types of mechanical signals in their surroundings, such as force signals, displacement signals, and vibration signals. It is understandable that the development of an all-new mechanosensory structure that can be widely used is highly desirable. This is because it can markedly improve the detection performance of mechanosensors. Coincidentally, in nature, optimized microscale trigger hairs of Venus flytrap are ingeniously used as a mechanosensory structure. These trigger hairs are utilized for tactile mechanosensilla to efficiently detect external mechanical stimuli. Biological trigger hair-based mechanosensilla offer an all-new bio-inspired strategy. This strategy utilizes the notch structure and variable stiffness to enhance the perceptual performance of mechanosensors. In this study, the structure-performance-application coupling relationship of trigger hair-based mechanosensors is explored through experiment and analysis. An artificial trigger hair-based mechanosensor is developed by mimicking the deformation properties of the Venus flytrap trigger hair. This bio-inspired mechanosensor shows excellent performance in terms of mechanical stability, response time, and sensitivity to mechanical signals.
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Affiliation(s)
| | | | | | - Kejun Wang
- Jiangsu Provincial Key Laboratory of Advanced Robotics,
Soochow University, Suzhou 215021, P.R. China
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10
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Hong W, Guo X, Zhang T, Zhang A, Yan Z, Zhang X, Li X, Guan Y, Liao D, Lu H, Liu H, Hu J, Niu Y, Hong Q, Zhao Y. Flexible Capacitive Pressure Sensor with High Sensitivity and Wide Range Based on a Cheetah Leg Structure via 3D Printing. ACS APPLIED MATERIALS & INTERFACES 2023; 15:46347-46356. [PMID: 37733928 DOI: 10.1021/acsami.3c09841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/23/2023]
Abstract
Flexible pressure sensors can be used in human-computer interaction and wearable electronic devices, but one main challenge is to fabricate capacitive sensors with a wide pressure range and high sensitivity. Here, we designed a capacitive pressure sensor based on a bionic cheetah leg microstructure, validated the benefits of the bionic microstructure design, and optimized the structural feature parameters using 3D printing technology. The pressure sensor inspired by the cheetah leg shape has a high sensitivity (0.75 kPa-1), a wide linear sensing range (0-280 kPa), a fast response time of roughly 80 ms, and outstanding durability (24,000 cycles). Furthermore, the sensor can recognize a finger-operated mouse, monitor human motion, and transmit Morse code information. This work demonstrates that bionic capacitive pressure sensors hold considerable promise for use in wearable devices.
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Affiliation(s)
- Weiqiang Hong
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei 230601, P. R. China
- State Key Laboratory of High-Performance Precision Manufacturing, Dalian University of Technology, Dalian 116024, P. R. China
- Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, P. R. China
| | - Xiaohui Guo
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei 230601, P. R. China
| | - Tianxu Zhang
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei 230601, P. R. China
| | - Anqi Zhang
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei 230601, P. R. China
| | - Zihao Yan
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei 230601, P. R. China
| | - Xinyi Zhang
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei 230601, P. R. China
| | - Xianghui Li
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei 230601, P. R. China
| | - Yuxin Guan
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei 230601, P. R. China
| | - Dongzhi Liao
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei 230601, P. R. China
| | - Haochen Lu
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei 230601, P. R. China
| | - Hanyu Liu
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei 230601, P. R. China
| | - Jiangtao Hu
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei 230601, P. R. China
| | - Yongzheng Niu
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei 230601, P. R. China
| | - Qi Hong
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei 230601, P. R. China
| | - Yunong Zhao
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei 230601, P. R. China
- School of Integrated Circuits, Huazhong University of Science and Technology, Wuhan 430074, P. R. China
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Li X, Yang Y, Valenzuela C, Zhang X, Xue P, Liu Y, Liu C, Wang L. Mechanochromic and Conductive Chiral Nematic Nanostructured Film for Bioinspired Ionic Skins. ACS NANO 2023. [PMID: 37338401 DOI: 10.1021/acsnano.3c04199] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Abstract
Chameleon skin is naturally adaptive and can sense environmental changes and transform sensing into bioelectrical and optical signals by manipulating ion transduction and photonic nanostructures. The increasing interest in mimicking biological skins has considerably promoted the development of advanced photonic materials with an increasing ionic conductivity. Herein, we report the judicious design and fabrication of a bioinspired mechanochromic chiral nematic nanostructured film with good ionic conductivity by infiltrating fluorine-rich ionic liquids (FILs) into a swollen self-assembled cellulose nanocrystal (CNC) film with helical nanoarchitectures. Notably, the introduction of 2-hydroxyethyl acrylate considerably enhances the compatibility of hydrophobic FILs and hydrophilic CNCs. The resulting FIL-CNC nanostructured films exhibited excellent mechanochromism, good ionic conductivity, and outstanding optical/electrical dual-signal sensing performance when used as a bioinspired ionic skin for real-time monitoring of human motions. Owing to the integration of FILs, the underwater stability of the chiral liquid crystal nanostructures of CNCs was significantly enhanced. Notably, underwater contact/contactless sensing modes and encrypted information transmission have been achieved with the FIL-CNC nanostructured film. This study can offer great insights for the advancement of biomimetic multifunctional artificial skins and emerging interactive devices, which can find important applications in wearable iontronics, human-machine interactions, and intelligent robots.
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Affiliation(s)
- Xiang Li
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China
- School of Materials Science and Engineering, Tianjin University, Tianjin 300350, China
| | - Yanzhao Yang
- School of Materials Science and Engineering, Tianjin University, Tianjin 300350, China
| | - Cristian Valenzuela
- School of Materials Science and Engineering, Tianjin University, Tianjin 300350, China
| | - Xuan Zhang
- School of Materials Science and Engineering, Tianjin University, Tianjin 300350, China
| | - Pan Xue
- School of Materials Science and Engineering, Tianjin University, Tianjin 300350, China
| | - Yuan Liu
- School of Materials Science and Engineering, Tianjin University, Tianjin 300350, China
| | - Changjun Liu
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China
| | - Ling Wang
- School of Materials Science and Engineering, Tianjin University, Tianjin 300350, China
- Binhai Industrial Research Institute, Tianjin University, Tianjin 300452, China
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