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Han W, Gao W, Wang X. Enhanced Magnetic Soft Robotics: Integrating Fiber Optics and 3D Printing for Rapid Actuation and Precision Sensing. ACS APPLIED MATERIALS & INTERFACES 2024. [PMID: 38820388 DOI: 10.1021/acsami.4c04586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2024]
Abstract
Timely, accurate, and rapid grasping of dynamic change information in magnetic actuation soft robots is essential for advancing their evolution toward intelligent, integrated, and multifunctional systems. However, existing magnetic-actuation soft robots lack effective functions for integrating sensing and actuation. Herein, we demonstrate the integration of distributed fiber optics technology with advanced-programming 3D printing techniques. This integration provides our soft robots unique capabilities such as integrated sensing, precise shape reconstruction, controlled deformation, and sophisticated magnetic navigation. By utilizing an improved magneto-mechanical coupling model and an advanced inversion algorithm, we successfully achieved real-time reconstruction of complex structures, such as 'V', 'N', and 'M' shapes and gripper designs, with a notable response time of 34 ms. Additionally, our robots demonstrate proficiency in magnetic navigation and closed-loop deformation control, making them ideal for operation in confined or obscured environments. This work thus provides a transformative strategy to meet unmet demands in the rapidly growing field of soft robotics, especially in establishing the theoretical and technological foundation for constructing digitized robots.
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Affiliation(s)
- Wenheng Han
- Key Laboratory of Mechanics on Western Disaster and Environment, MoE, College of Civil Engineering and Mechanic, Key Laboratory of Special Function Materials and Structure Design of Ministry of Education, Lanzhou University, Lanzhou 730000, PR China
| | - Wei Gao
- School of Science, Lanzhou University of Technology, Lanzhou 730050, PR China
| | - Xingzhe Wang
- Key Laboratory of Mechanics on Western Disaster and Environment, MoE, College of Civil Engineering and Mechanic, Key Laboratory of Special Function Materials and Structure Design of Ministry of Education, Lanzhou University, Lanzhou 730000, PR China
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2
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Wu D, Li X, Zhang Y, Cheng X, Long Z, Ren L, Xia X, Wang Q, Li J, Lv P, Feng Q, Wei Q. Novel Biomimetic "Spider Web" Robust, Super-Contractile Liquid Crystal Elastomer Active Yarn Soft Actuator. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2400557. [PMID: 38419378 PMCID: PMC11077665 DOI: 10.1002/advs.202400557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 02/18/2024] [Indexed: 03/02/2024]
Abstract
In nature, spider web is an interwoven network with high stability and elasticity from silk threads secreted by spider. Inspired by the structure of spider webs, light-driven liquid crystal elastomer (LCE) active yarn is designed with super-contractile and robust weavability. Herein, a novel biomimetic gold nanorods (AuNRs) @LCE yarn soft actuator with hierarchical structure is fabricated by a facile electrospinning and subsequent photocrosslinking strategies. Meanwhile, the inherent mechanism and actuation performances of the as-prepared yarn actuator with interleaving network are systematically analyzed. Results demonstrate that thanks to the unique "like-spider webs" structure between fibers, high molecular orientation within the LCE microfibers and good flexibility, they can generate super actuation strain (≈81%) and stable actuation performances. Importantly, benefit from the robust covalent bonding at the organic-inorganic interface, photopolymerizable AuNRs molecules are uniformly introduced into the polymer backbone of electrospun LCE yarn to achieve tailorable shape-morphing under different light intensity stimulation. As a proof-of-concept illustration, light-driven artificial muscles, micro swimmers, and hemostatic bandages are successfully constructed. The research disclosed herein can offer new insights into continuous production and development of LCE-derived yarn actuator that are of paramount significance for many applications from smart fabrics to flexible wearable devices.
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Affiliation(s)
- Dingsheng Wu
- Key Laboratory of Eco‐Textiles, Ministry of EducationJiangnan UniversityJiangsu214122China
- Key Laboratory of Textile Fabrics, College of Textiles and ClothingAnhui Polytechnic UniversityAnhui241000China
| | - Xin Li
- Key Laboratory of Eco‐Textiles, Ministry of EducationJiangnan UniversityJiangsu214122China
| | - Yuxin Zhang
- Key Laboratory of Eco‐Textiles, Ministry of EducationJiangnan UniversityJiangsu214122China
| | - Xinyue Cheng
- Key Laboratory of Eco‐Textiles, Ministry of EducationJiangnan UniversityJiangsu214122China
| | - Zhiwen Long
- Key Laboratory of Eco‐Textiles, Ministry of EducationJiangnan UniversityJiangsu214122China
| | - Lingyun Ren
- Key Laboratory of Eco‐Textiles, Ministry of EducationJiangnan UniversityJiangsu214122China
| | - Xin Xia
- College of Textile and ClothingXinjiang UniversityUrumchiXinjiang830046China
| | - Qingqing Wang
- Key Laboratory of Eco‐Textiles, Ministry of EducationJiangnan UniversityJiangsu214122China
| | - Jie Li
- Jiangsu Textile Quality Services Inspection Testing InstituteJiangsu210007China
| | - Pengfei Lv
- Key Laboratory of Eco‐Textiles, Ministry of EducationJiangnan UniversityJiangsu214122China
| | - Quan Feng
- Key Laboratory of Textile Fabrics, College of Textiles and ClothingAnhui Polytechnic UniversityAnhui241000China
| | - Qufu Wei
- Key Laboratory of Eco‐Textiles, Ministry of EducationJiangnan UniversityJiangsu214122China
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Qi M, Liu Y, Wang Z, Yuan S, Li K, Zhang Q, Chen M, Wei L. Self-Healable Multifunctional Fibers via Thermal Drawing. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2400785. [PMID: 38682447 DOI: 10.1002/advs.202400785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/08/2024] [Indexed: 05/01/2024]
Abstract
The development of soft electronics and soft fiber devices has significantly advanced flexible and wearable technology. However, they still face the risk of damage when exposed to sharp objects in real-life applications. Taking inspiration from nature, self-healable materials that can restore their physical properties after external damage offer a solution to this problem. Nevertheless, large-scale production of self-healable fibers is currently constrained. To address this limitation, this study leverages the thermal drawing technique to create elastic and stretchable self-healable thermoplastic polyurethane (STPU) fibers, enabling cost-effective mass production of such functional fibers. Furthermore, despite substantial research into the mechanisms of self-healable materials, quantifying their healing speed and time poses a persistent challenge. Thus, transmission spectra are employed as a monitoring tool to observe the real-time self-healing process, facilitating an in-depth investigation into the healing kinetics and efficiency. The versatility of the fabricated self-healable fiber extends to its ability to be doped with a wide range of functional materials, including dye molecules and magnetic microparticles, which enables modular assembly to develop distributed strain sensors and soft actuators. These achievements highlight the potential applications of self-healable fibers that seamlessly integrate with daily lives and open up new possibilities in various industries.
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Affiliation(s)
- Miao Qi
- College of Biomedical Engineering & Instrument Science, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, 310027, China
- Zhejiang Lab, Hangzhou, 311100, China
| | - Yanting Liu
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Zhe Wang
- Key Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun, 130022, China
| | - Shixing Yuan
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Kaiwei Li
- Key Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun, 130022, China
| | - Qichong Zhang
- Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, China
| | - Mengxiao Chen
- College of Biomedical Engineering & Instrument Science, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, 310027, China
- Zhejiang Lab, Hangzhou, 311100, China
| | - Lei Wei
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
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Yang W, Lin S, Gong W, Lin R, Jiang C, Yang X, Hu Y, Wang J, Xiao X, Li K, Li Y, Zhang Q, Ho JS, Liu Y, Hou C, Wang H. Single body-coupled fiber enables chipless textile electronics. Science 2024; 384:74-81. [PMID: 38574120 DOI: 10.1126/science.adk3755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 02/07/2024] [Indexed: 04/06/2024]
Abstract
Intelligent textiles provide an ideal platform for merging technology into daily routines. However, current textile electronic systems often rely on rigid silicon components, which limits seamless integration, energy efficiency, and comfort. Chipless electronic systems still face digital logic challenges owing to the lack of dynamic energy-switching carriers. We propose a chipless body-coupled energy interaction mechanism for ambient electromagnetic energy harvesting and wireless signal transmission through a single fiber. The fiber itself enables wireless visual-digital interactions without the need for extra chips or batteries on textiles. Because all of the electronic assemblies are merged in a miniature fiber, this facilitates scalable fabrication and compatibility with modern weaving techniques, thereby enabling versatile and intelligent clothing. We propose a strategy that may address the problems of silicon-based textile systems.
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Affiliation(s)
- Weifeng Yang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, P. R. China
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
| | - Shaomei Lin
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, P. R. China
| | - Wei Gong
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, P. R. China
- Biomass Molecular Engineering Center, College of Light-Textile Engineering and Art, Anhui Agricultural University, Hefei 230036, P. R. China
| | - Rongzhou Lin
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
| | - Chengmei Jiang
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
| | - Xin Yang
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
| | - Yunhao Hu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, P. R. China
| | - Jingjie Wang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, P. R. China
| | - Xiao Xiao
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
| | - Kerui Li
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, P. R. China
| | - Yaogang Li
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, P. R. China
| | - Qinghong Zhang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, P. R. China
| | - John S Ho
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
| | - Yuxin Liu
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
| | - Chengyi Hou
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, P. R. China
| | - Hongzhi Wang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, P. R. China
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Zhang Z, Li P, Xiong M, Zhang L, Chen J, Lei X, Pan X, Wang X, Deng XY, Shen W, Mei Z, Liu KK, Liu G, Huang Z, Lv S, Shao Y, Lei T. Continuous production of ultratough semiconducting polymer fibers with high electronic performance. SCIENCE ADVANCES 2024; 10:eadk0647. [PMID: 38569023 PMCID: PMC10990280 DOI: 10.1126/sciadv.adk0647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 02/26/2024] [Indexed: 04/05/2024]
Abstract
Conjugated polymers have demonstrated promising optoelectronic properties, but their brittleness and poor mechanical characteristics have hindered their fabrication into durable fibers and textiles. Here, we report a universal approach to continuously producing highly strong, ultratough conjugated polymer fibers using a flow-enhanced crystallization (FLEX) method. These fibers exhibit one order of magnitude higher tensile strength (>200 megapascals) and toughness (>80 megajoules per cubic meter) than traditional semiconducting polymer fibers and films, outperforming many synthetic fibers, ready for scalable production. These fibers also exhibit unique strain-enhanced electronic properties and exceptional performance when used as stretchable conductors, thermoelectrics, transistors, and sensors. This work not only highlights the influence of fluid mechanical effects on the crystallization and mechanical properties of conjugated polymers but also opens up exciting possibilities for integrating these functional fibers into wearable electronics.
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Affiliation(s)
- Zhi Zhang
- Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, School of Materials Science and Engineering, Peking University, Beijing 100871, China
| | - Peiyun Li
- Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, School of Materials Science and Engineering, Peking University, Beijing 100871, China
| | - Miao Xiong
- Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, School of Materials Science and Engineering, Peking University, Beijing 100871, China
| | - Liang Zhang
- College of Energy Soochow Institute for Energy and Materials Innovations (SIEMIS), Jiangsu Provincial Key Laboratory for Advanced Carbon Materials and Wearable Energy Technologies, Soochow University, Suzhou 215006, China
| | - Jupeng Chen
- Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, School of Materials Science and Engineering, Peking University, Beijing 100871, China
| | - Xun Lei
- Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, School of Materials Science and Engineering, Peking University, Beijing 100871, China
| | - Xiran Pan
- Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, School of Materials Science and Engineering, Peking University, Beijing 100871, China
| | - Xiu Wang
- Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, School of Materials Science and Engineering, Peking University, Beijing 100871, China
| | - Xin-Yu Deng
- Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, School of Materials Science and Engineering, Peking University, Beijing 100871, China
| | - Weiyu Shen
- College of Engineering, Peking University, Beijing 100871, China
| | - Zi Mei
- Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, School of Materials Science and Engineering, Peking University, Beijing 100871, China
| | - Kai-Kai Liu
- Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, School of Materials Science and Engineering, Peking University, Beijing 100871, China
| | - Guangchao Liu
- Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, School of Materials Science and Engineering, Peking University, Beijing 100871, China
| | - Zhen Huang
- Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, School of Materials Science and Engineering, Peking University, Beijing 100871, China
| | - Shixian Lv
- Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, School of Materials Science and Engineering, Peking University, Beijing 100871, China
| | - Yuanlong Shao
- Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, School of Materials Science and Engineering, Peking University, Beijing 100871, China
- College of Energy Soochow Institute for Energy and Materials Innovations (SIEMIS), Jiangsu Provincial Key Laboratory for Advanced Carbon Materials and Wearable Energy Technologies, Soochow University, Suzhou 215006, China
| | - Ting Lei
- Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, School of Materials Science and Engineering, Peking University, Beijing 100871, China
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6
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Li Y, Luo Y. Intelligent textiles are looking bright. Science 2024; 384:29-30. [PMID: 38574158 DOI: 10.1126/science.ado5922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/06/2024]
Abstract
Flexible fiber electronics couple with the human body for wireless tactile sensing.
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Affiliation(s)
- Yunzhu Li
- Computer Science Department, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Yiyue Luo
- Electrical Engineering and Computer Science Department, Massachusetts Institute of Technology, Cambridge, MA, USA
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Li Y, Su Y. Mass-produced and uniformly luminescent photochromic fibers toward future interactive wearable displays. LIGHT, SCIENCE & APPLICATIONS 2024; 13:79. [PMID: 38565550 PMCID: PMC10987505 DOI: 10.1038/s41377-024-01414-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Enabling flexible fibers with light-emitting capabilities has the potential to revolutionize the design of smart wearable interactive devices. A recent publication in Light Science & Application, an interdisciplinary team of scientists led by Prof. Yan-Qing Lu and Prof. Guangming Tao has realized a highly flexible, uniformly luminescent photochromic fiber based on a mass-produced thermal drawing method. It overcomes the shortcomings of existing commercial light-diffusing fibers, exhibiting outstanding one-dimensional linear illumination performance. The research team integrated controllable photochromic fibers into various wearable interaction interfaces, providing a novel approach and insights to enable human-computer interaction.
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Affiliation(s)
- Yan Li
- Department of Electronic Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China.
| | - Yikai Su
- Department of Electronic Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China.
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Yao X, Chen H, Qin H, Cong HP. Nanocomposite Hydrogel Actuators with Ordered Structures: From Nanoscale Control to Macroscale Deformations. SMALL METHODS 2024; 8:e2300414. [PMID: 37365950 DOI: 10.1002/smtd.202300414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 06/06/2023] [Indexed: 06/28/2023]
Abstract
Flexible intelligent actuators with the characteristics of flexibility, safety and scalability, are highly promising in industrial production, biomedical fields, environmental monitoring, and soft robots. Nanocomposite hydrogels are attractive candidates for soft actuators due to their high pliability, intelligent responsiveness, and capability to execute large-scale rapid reversible deformations under external stimuli. Here, the recent advances of nanocomposite hydrogels as soft actuators are reviewed and focus is on the construction of elaborate and programmable structures by the assembly of nano-objects in the hydrogel matrix. With the help of inducing the gradient or oriented distributions of the nanounits during the gelation process by the external forces or molecular interactions, nanocomposite hydrogels with ordered structures are achieved, which can perform bending, spiraling, patterned deformations, and biomimetic complex shape changes. Given great advantages of these intricate yet programmable shape-morphing, nanocomposite hydrogel actuators have presented high potentials in the fields of moving robots, energy collectors, and biomedicines. In the end, the challenges and future perspectives of this emerging field of nanocomposite hydrogel actuators are proposed.
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Affiliation(s)
- Xin Yao
- Anhui Province Key Laboratory of Advanced Catalytic Materials and Reaction Engineering, School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, 230009, China
| | - Hong Chen
- Anhui Province Key Laboratory of Advanced Catalytic Materials and Reaction Engineering, School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, 230009, China
| | - Haili Qin
- Anhui Province Key Laboratory of Advanced Catalytic Materials and Reaction Engineering, School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, 230009, China
| | - Huai-Ping Cong
- Anhui Province Key Laboratory of Advanced Catalytic Materials and Reaction Engineering, School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, 230009, China
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Wang N, Yao Y, Wu P, Zhao L, Chen J. Soft Polymer Optical Fiber Sensors for Intelligent Recognition of Elastomer Deformations and Wearable Applications. SENSORS (BASEL, SWITZERLAND) 2024; 24:2253. [PMID: 38610463 PMCID: PMC11014156 DOI: 10.3390/s24072253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 03/25/2024] [Accepted: 03/30/2024] [Indexed: 04/14/2024]
Abstract
In recent years, soft robotic sensors have rapidly advanced to endow robots with the ability to interact with the external environment. Here, we propose a polymer optical fiber (POF) sensor with sensitive and stable detection performance for strain, bending, twisting, and pressing. Thus, we can map the real-time output light intensity of POF sensors to the spatial morphology of the elastomer. By leveraging the intrinsic correlations of neighboring sensors and machine learning algorithms, we realize the spatially resolved detection of the pressing and multi-dimensional deformation of elastomers. Specifically, the developed intelligent sensing system can effectively recognize the two-dimensional indentation position with a prediction accuracy as large as ~99.17%. The average prediction accuracy of combined strain and twist is ~98.4% using the random forest algorithm. In addition, we demonstrate an integrated intelligent glove for the recognition of hand gestures with a high recognition accuracy of 99.38%. Our work holds promise for applications in soft robots for interactive tasks in complex environments, providing robots with multidimensional proprioceptive perception. And it also can be applied in smart wearable sensing, human prosthetics, and human-machine interaction interfaces.
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Affiliation(s)
- Nicheng Wang
- Institute of Electromagnetics and Acoustics and Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen University, Xiamen 361005, China; (N.W.); (P.W.); (L.Z.)
| | - Yuan Yao
- School of Informatics, Xiamen University, Xiamen 361005, China;
| | - Pengao Wu
- Institute of Electromagnetics and Acoustics and Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen University, Xiamen 361005, China; (N.W.); (P.W.); (L.Z.)
| | - Lei Zhao
- Institute of Electromagnetics and Acoustics and Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen University, Xiamen 361005, China; (N.W.); (P.W.); (L.Z.)
| | - Jinhui Chen
- Institute of Electromagnetics and Acoustics and Key Laboratory of Electromagnetic Wave Science and Detection Technology, Xiamen University, Xiamen 361005, China; (N.W.); (P.W.); (L.Z.)
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Lin Y, Shull PB, Chossat JB. Design of a Wearable Real-Time Hand Motion Tracking System Using an Array of Soft Polymer Acoustic Waveguides. Soft Robot 2024; 11:282-295. [PMID: 37870761 DOI: 10.1089/soro.2022.0091] [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] [Indexed: 10/24/2023] Open
Abstract
Robust hand motion tracking holds promise for improved human-machine interaction in diverse fields, including virtual reality, and automated sign language translation. However, current wearable hand motion tracking approaches are typically limited in detection performance, wearability, and durability. This article presents a hand motion tracking system using multiple soft polymer acoustic waveguides (SPAWs). The innovative use of SPAWs as strain sensors offers several advantages that address the limitations. SPAWs are easily manufactured by casting a soft polymer shaped as a soft acoustic waveguide and containing a commercially available small ceramic piezoelectric transducer. When used as strain sensors, SPAWs demonstrate high stretchability (up to 100%), high linearity (R2 > 0.996 in all quasi-static, dynamic, and durability tensile tests), negligible hysteresis (<0.7410% under strain of up to 100%), excellent repeatability, and outstanding durability (up to 100,000 cycles). SPAWs also show high accuracy for continuous finger angle estimation (average root-mean-square errors [RMSE] <2.00°) at various flexion-extension speeds. Finally, a hand-tracking system is designed based on a SPAW array. An example application is developed to demonstrate the performance of SPAWs in real-time hand motion tracking in a three-dimensional (3D) virtual environment. To our knowledge, the system detailed in this article is the first to use soft acoustic waveguides to capture human motion. This work is part of an ongoing effort to develop soft sensors using both time and frequency domains, with the goal of extracting decoupled signals from simple sensing structures. As such, it represents a novel and promising path toward soft, simple, and wearable multimodal sensors.
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Affiliation(s)
- Yuan Lin
- Robotics Institute, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Peter B Shull
- Robotics Institute, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Jean-Baptiste Chossat
- Soft Transducers Laboratory, École Polytechnique Fédérale de Lausanne, Neuchâtel, Switzerland
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Zou Y, Sun M, Zhang X, Wang J, Li F, Dong F, Zhao Z, Du T, Ji Y, Sun P, Xu M. A Flexible, Adaptive, and Self-Powered Triboelectric Vibration Sensor with Conductive Sponge-Silicone for Machinery Condition Monitoring. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024:e2309759. [PMID: 38511573 DOI: 10.1002/smll.202309759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 02/25/2024] [Indexed: 03/22/2024]
Abstract
Vibration sensors for continuous and reliable condition monitoring of mechanical equipment, especially detection points of curved surfaces, remain a great challenge and are highly desired. Herein, a highly flexible and adaptive triboelectric vibration sensor for high-fidelity and continuous monitoring of mechanical vibration conditions is proposed. The sensor is entirely composed of flexible materials. It consists of a conductive sponge-silicone layer and a fluorinated ethylene propylene film. It can detect vibration acceleration of 5 to 50 m s-2 and vibration frequency of 10 to 100 Hz. It has strong robustness and stability, and the output performance barely changes after the durability test of 168 000 working cycles. Additionally, the flexible sensor can work even when the detection point of the mechanical equipment is curved, and the linear fit of the output voltage and acceleration is very close to that when the detection point is flat. Finally, it can be applied to monitoring the working condition of blower and vehicle engine, and can transmit vibration signal to mobile phone application through Wi-Fi module for real-time monitoring. The flexible triboelectric vibration sensor is expected to provide a practical paradigm for smart, green, and sustainable wireless sensor system in the era of Internet of Things.
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Affiliation(s)
- Yongjiu Zou
- Dalian Key Lab of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
| | - Minzheng Sun
- Dalian Key Lab of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
| | - Xinyu Zhang
- Dalian Key Lab of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
| | - Junpeng Wang
- Dalian Key Lab of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
| | - Fangming Li
- Dalian Key Lab of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
| | - Fangyang Dong
- Dalian Key Lab of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
| | - Zhenhang Zhao
- Key Laboratory of Roads and Railway Engineering Safety Control, Ministry of Education, Shijiazhuang Tiedao University, Shijiazhuang, 050043, China
| | - Taili Du
- Dalian Key Lab of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
| | - Yulong Ji
- Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
| | - Peiting Sun
- Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
| | - Minyi Xu
- Dalian Key Lab of Marine Micro/Nano Energy and Self-Powered Systems, Marine Engineering College, Dalian Maritime University, Dalian, 116026, China
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12
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Zhang Z, Zhang H, Hou L, Jia D, Yao K, Meng Q, Qu J, Yan B, Luan Q, Liu T. Highly sensitive fiber-optic chemical pH sensor based on surface modification of optical fiber with ZnCdSe/ZnS quantum dots. Anal Chim Acta 2024; 1294:342281. [PMID: 38336409 DOI: 10.1016/j.aca.2024.342281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/06/2024] [Accepted: 01/22/2024] [Indexed: 02/12/2024]
Abstract
The pH value plays a vital role in many biological and chemical reactions. In this work, the fiber-optic chemical pH sensors were fabricated based on carboxyl ZnCdSe/ZnS quantum dots (QDs) and tapered optical fiber. The photoluminescence (PL) intensity of QDs is pH-dependence because protonation and deprotonation can affect the process of electron-hole recombination. The evanescent wave of tapered optical fiber was used as excitation source in the process of PL. To obtain higher sensitivity, the end faces of fiber were optimized for cone region. By lengthening the cone region and shrinking the end diameter of optical fiber, evanescent wave was enhanced and the excitation times of QDs were increased, which improved the PL intensity and the sensitivity of the sensor. The sensitivity of sensor can reach as high as 0.139/pH in the range of pH 6.00-9.01. The surface functional modification was adopted to prepare sensing films. The carboxyl groups on the QDs ligands are chemically bonded to the fiber surface, which is good for response time (40 s) and stability (decreased 0.9 % for 5 min). These results demonstrated that ZnCdSe/ZnS QDs-based fiber-optic chemical pH sensors are promising approach in rapid and precise pH detection.
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Affiliation(s)
- Zongjie Zhang
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China; Key Laboratory of Opto-electronics Information Technology (Tianjin University), Tianjin 300072, China
| | - Hongxia Zhang
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China; Key Laboratory of Opto-electronics Information Technology (Tianjin University), Tianjin 300072, China.
| | - Lili Hou
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China; Key Laboratory of Opto-electronics Information Technology (Tianjin University), Tianjin 300072, China
| | - Dagong Jia
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China; Key Laboratory of Opto-electronics Information Technology (Tianjin University), Tianjin 300072, China
| | - Kaixin Yao
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China; Key Laboratory of Opto-electronics Information Technology (Tianjin University), Tianjin 300072, China
| | - Qingyang Meng
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China; Key Laboratory of Opto-electronics Information Technology (Tianjin University), Tianjin 300072, China
| | - Jiayi Qu
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China; Key Laboratory of Opto-electronics Information Technology (Tianjin University), Tianjin 300072, China
| | - Bing Yan
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China; Key Laboratory of Opto-electronics Information Technology (Tianjin University), Tianjin 300072, China
| | - Qingxin Luan
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China; Key Laboratory of Opto-electronics Information Technology (Tianjin University), Tianjin 300072, China
| | - Tiegen Liu
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China; Key Laboratory of Opto-electronics Information Technology (Tianjin University), Tianjin 300072, China
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13
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Wang Z, Chen Y, Ma Y, Wang J. Bioinspired Stimuli-Responsive Materials for Soft Actuators. Biomimetics (Basel) 2024; 9:128. [PMID: 38534813 DOI: 10.3390/biomimetics9030128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 02/16/2024] [Accepted: 02/19/2024] [Indexed: 03/28/2024] Open
Abstract
Biological species can walk, swim, fly, jump, and climb with fast response speeds and motion complexity. These remarkable functions are accomplished by means of soft actuation organisms, which are commonly composed of muscle tissue systems. To achieve the creation of their biomimetic artificial counterparts, various biomimetic stimuli-responsive materials have been synthesized and developed in recent decades. They can respond to various external stimuli in the form of structural or morphological transformations by actively or passively converting input energy into mechanical energy. They are the core element of soft actuators for typical smart devices like soft robots, artificial muscles, intelligent sensors and nanogenerators. Significant progress has been made in the development of bioinspired stimuli-responsive materials. However, these materials have not been comprehensively summarized with specific actuation mechanisms in the literature. In this review, we will discuss recent advances in biomimetic stimuli-responsive materials that are instrumental for soft actuators. Firstly, different stimuli-responsive principles for soft actuators are discussed, including fluidic, electrical, thermal, magnetic, light, and chemical stimuli. We further summarize the state-of-the-art stimuli-responsive materials for soft actuators and explore the advantages and disadvantages of using electroactive polymers, magnetic soft composites, photo-thermal responsive polymers, shape memory alloys and other responsive soft materials. Finally, we provide a critical outlook on the field of stimuli-responsive soft actuators and emphasize the challenges in the process of their implementation to various industries.
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Affiliation(s)
- Zhongbao Wang
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yixin Chen
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yuan Ma
- Department of Mechanical Engineering, Research Institute for Intelligent Wearable Systems, The Hong Kong Polytechnic University, Hong Kong 999077, China
| | - Jing Wang
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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14
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Li P, Wang Y, He X, Cui Y, Ouyang J, Ouyang J, He Z, Hu J, Liu X, Wei H, Wang Y, Lu X, Ji Q, Cai X, Liu L, Hou C, Zhou N, Pan S, Wang X, Zhou H, Qiu CW, Lu YQ, Tao G. Wearable and interactive multicolored photochromic fiber display. LIGHT, SCIENCE & APPLICATIONS 2024; 13:48. [PMID: 38355692 PMCID: PMC10866970 DOI: 10.1038/s41377-024-01383-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 12/22/2023] [Accepted: 01/15/2024] [Indexed: 02/16/2024]
Abstract
Endowing flexible and adaptable fiber devices with light-emitting capabilities has the potential to revolutionize the current design philosophy of intelligent, wearable interactive devices. However, significant challenges remain in developing fiber devices when it comes to achieving uniform and customizable light effects while utilizing lightweight hardware. Here, we introduce a mass-produced, wearable, and interactive photochromic fiber that provides uniform multicolored light control. We designed independent waveguides inside the fiber to maintain total internal reflection of light as it traverses the fiber. The impact of excessive light leakage on the overall illuminance can be reduced by utilizing the saturable absorption effect of fluorescent materials to ensure light emission uniformity along the transmission direction. In addition, we coupled various fluorescent composite materials inside the fiber to achieve artificially controllable spectral radiation of multiple color systems in a single fiber. We prepared fibers on mass-produced kilometer-long using the thermal drawing method. The fibers can be directly integrated into daily wearable devices or clothing in various patterns and combined with other signal input components to control and display patterns as needed. This work provides a new perspective and inspiration to the existing field of fiber display interaction, paving the way for future human-machine integration.
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Affiliation(s)
- Pan Li
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
- Key Laboratory of Vascular Aging (HUST), Ministry of Education, Wuhan, 430030, China
| | - Yuwei Wang
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
- Key Laboratory of Vascular Aging (HUST), Ministry of Education, Wuhan, 430030, China
| | - Xiaoxian He
- School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Yuyang Cui
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
- Key Laboratory of Vascular Aging (HUST), Ministry of Education, Wuhan, 430030, China
| | - Jingyu Ouyang
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
- Key Laboratory of Vascular Aging (HUST), Ministry of Education, Wuhan, 430030, China
| | - Ju Ouyang
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
- Key Laboratory of Vascular Aging (HUST), Ministry of Education, Wuhan, 430030, China
| | - Zicheng He
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
- Key Laboratory of Vascular Aging (HUST), Ministry of Education, Wuhan, 430030, China
| | - Jiayu Hu
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
- Key Laboratory of Vascular Aging (HUST), Ministry of Education, Wuhan, 430030, China
| | - Xiaojuan Liu
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
- Key Laboratory of Vascular Aging (HUST), Ministry of Education, Wuhan, 430030, China
| | - Hang Wei
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore
| | - Yu Wang
- National Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulation, College of Engineering and Applied Sciences, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210023, China
| | - Xiaoling Lu
- School of Performing Arts, Wuhan Conservatory of Music, Wuhan, 430060, China
| | - Qian Ji
- School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Xinyuan Cai
- School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Li Liu
- School of Fashion, Beijing Institute of Fashion Technology, Beijing, 100029, China
| | - Chong Hou
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
- Key Laboratory of Vascular Aging (HUST), Ministry of Education, Wuhan, 430030, China
- School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Ning Zhou
- Key Laboratory of Vascular Aging (HUST), Ministry of Education, Wuhan, 430030, China
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Shaowu Pan
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, China
| | - Xiangru Wang
- School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Huamin Zhou
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Cheng-Wei Qiu
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore
| | - Yan-Qing Lu
- National Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulation, College of Engineering and Applied Sciences, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210023, China.
| | - Guangming Tao
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.
- Key Laboratory of Vascular Aging (HUST), Ministry of Education, Wuhan, 430030, China.
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15
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Shao B, Lu MH, Wu TC, Peng WC, Ko TY, Hsiao YC, Chen JY, Sun B, Liu R, Lai YC. Large-area, untethered, metamorphic, and omnidirectionally stretchable multiplexing self-powered triboelectric skins. Nat Commun 2024; 15:1238. [PMID: 38336848 PMCID: PMC10858173 DOI: 10.1038/s41467-024-45611-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
Large-area metamorphic stretchable sensor networks are desirable in haptic sensing and next-generation electronics. Triboelectric nanogenerator-based self-powered tactile sensors in single-electrode mode constitute one of the best solutions with ideal attributes. However, their large-area multiplexing utilizations are restricted by severe misrecognition between sensing nodes and high-density internal circuits. Here, we provide an electrical signal shielding strategy delivering a large-area multiplexing self-powered untethered triboelectric electronic skin (UTE-skin) with an ultralow misrecognition rate (0.20%). An omnidirectionally stretchable carbon black-Ecoflex composite-based shielding layer is developed to effectively attenuate electrostatic interference from wirings, guaranteeing low-level noise in sensing matrices. UTE-skin operates reliably under 100% uniaxial, 100% biaxial, and 400% isotropic strains, achieving high-quality pressure imaging and multi-touch real-time visualization. Smart gloves for tactile recognition, intelligent insoles for gait analysis, and deformable human-machine interfaces are demonstrated. This work signifies a substantial breakthrough in haptic sensing, offering solutions for the previously challenging issue of large-area multiplexing sensing arrays.
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Affiliation(s)
- Beibei Shao
- Soochow Institute of Energy and Material Innovations, Key Laboratory for Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu Province, Institute of Functional Nano & Soft Materials (FUNSOM) and College of Energy, Soochow University, Suzhou, 215006, PR China
- Jiangsu Key Laboratory of Advanced Negative Carbon Technologies, Soochow University, Suzhou, 215123, PR China
| | - Ming-Han Lu
- Department of Materials Science and Engineering, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Tai-Chen Wu
- Department of Materials Science and Engineering, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Wei-Chen Peng
- Department of Materials Science and Engineering, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Tien-Yu Ko
- Department of Materials Science and Engineering, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Yung-Chi Hsiao
- Department of Materials Science and Engineering, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Jiann-Yeu Chen
- Innovation and Development Center of Sustainable Agriculture, i-Center for Advanced Science and Technology, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Baoquan Sun
- Soochow Institute of Energy and Material Innovations, Key Laboratory for Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu Province, Institute of Functional Nano & Soft Materials (FUNSOM) and College of Energy, Soochow University, Suzhou, 215006, PR China.
- Jiangsu Key Laboratory of Advanced Negative Carbon Technologies, Soochow University, Suzhou, 215123, PR China.
- Macau Institute of Materials Science and Engineering MUST-SUDA Joint Research Center for Advanced Functional Materials Macau University of Science and Technology Macau, 999078, Macao, PR China.
| | - Ruiyuan Liu
- Soochow Institute of Energy and Material Innovations, Key Laboratory for Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu Province, Institute of Functional Nano & Soft Materials (FUNSOM) and College of Energy, Soochow University, Suzhou, 215006, PR China.
- Jiangsu Key Laboratory of Advanced Negative Carbon Technologies, Soochow University, Suzhou, 215123, PR China.
| | - Ying-Chih Lai
- Department of Materials Science and Engineering, National Chung Hsing University, Taichung, 40227, Taiwan.
- Innovation and Development Center of Sustainable Agriculture, i-Center for Advanced Science and Technology, National Chung Hsing University, Taichung, 40227, Taiwan.
- Department of Physics, National Chung Hsing University, Taichung, 40227, Taiwan.
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16
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Sirithunge C, Wang H, Iida F. Soft touchless sensors and touchless sensing for soft robots. Front Robot AI 2024; 11:1224216. [PMID: 38312746 PMCID: PMC10830750 DOI: 10.3389/frobt.2024.1224216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 01/02/2024] [Indexed: 02/06/2024] Open
Abstract
Soft robots are characterized by their mechanical compliance, making them well-suited for various bio-inspired applications. However, the challenge of preserving their flexibility during deployment has necessitated using soft sensors which can enhance their mobility, energy efficiency, and spatial adaptability. Through emulating the structure, strategies, and working principles of human senses, soft robots can detect stimuli without direct contact with soft touchless sensors and tactile stimuli. This has resulted in noteworthy progress within the field of soft robotics. Nevertheless, soft, touchless sensors offer the advantage of non-invasive sensing and gripping without the drawbacks linked to physical contact. Consequently, the popularity of soft touchless sensors has grown in recent years, as they facilitate intuitive and safe interactions with humans, other robots, and the surrounding environment. This review explores the emerging confluence of touchless sensing and soft robotics, outlining a roadmap for deployable soft robots to achieve human-level dexterity.
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Affiliation(s)
| | - Huijiang Wang
- Bio-Inspired Robotics Lab, Department of Engineering, University of Cambridge, Cambridge, United Kingdom
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17
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Chen Y, Huang Z, Hu F, Peng J, Huang T, Liu X, Luo C, Xu L, Yue K. Microstructured Polyfluoroacrylate Elastomeric Dielectric Layer for Highly Stretchable Wide-Range Capacitive Pressure Sensors. ACS APPLIED MATERIALS & INTERFACES 2023; 15:58700-58710. [PMID: 38065675 DOI: 10.1021/acsami.3c14064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Abstract
Capacitive pressure sensors capable of replicating human tactile senses have garnered tremendous attention. Introducing microstructures into the dielectric layer is an effective approach to improve the sensitivity of the sensors. However, most reported processes to fabricate microstructured dielectric layers are complicated and time-consuming and usually have adverse effects on the mechanical properties. Herein, we report a mechanically strong and highly stretchable dielectric layer fabricated from a microstructured fluorinated elastomer with a high dielectric constant (5.8 at 1000 Hz) via a simple and low-cost thermal decomposition process. Capacitive pressure sensors based on this microstructured fluorinated elastomer dielectric layer and soft ionotronic electrodes illustrate an impressing stretchability (>300%), a high pressure sensitivity (17 MPa-1), a wide detection range (70 Pa-800 kPa), and a fast response time (below 300 ms). Moreover, the multipixel capacitive pressure sensors sensing array maintains the unique spatial tactile sensing performance even under significant tensile deformation. It is believed that our microstructured fluorinated elastomer dielectric layer might find wide applications in stretchable ionotronic devices.
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Affiliation(s)
- Yutong Chen
- South China Advanced Institute for Soft Matter Science and Technology, School of Emergent Soft Matter South China University of Technology, Guangzhou 510640, China
| | - Zhenkai Huang
- School of Materials Science and Hydrogen Energy Foshan University, Foshan 528000, China
| | - Faqi Hu
- South China Advanced Institute for Soft Matter Science and Technology, School of Emergent Soft Matter South China University of Technology, Guangzhou 510640, China
| | - Jianping Peng
- School of Environmental and Chemical Engineering Foshan University, Foshan 528000, China
| | - Tianrui Huang
- South China Advanced Institute for Soft Matter Science and Technology, School of Emergent Soft Matter South China University of Technology, Guangzhou 510640, China
| | - Xiang Liu
- South China Advanced Institute for Soft Matter Science and Technology, School of Emergent Soft Matter South China University of Technology, Guangzhou 510640, China
| | - Chuan Luo
- South China Advanced Institute for Soft Matter Science and Technology, School of Emergent Soft Matter South China University of Technology, Guangzhou 510640, China
| | - Liguo Xu
- College of Light Chemical Industry and Materials Engineering Shunde Polytechnic, Foshan 528333, China
| | - Kan Yue
- South China Advanced Institute for Soft Matter Science and Technology, School of Emergent Soft Matter South China University of Technology, Guangzhou 510640, China
- Guangdong Provincial Key Laboratory of Functional and Intelligent Hybrid Materials and Devices South China University of Technology, Guangzhou 510640, China
- Jiangsu Province Cultivation Base for State Key Laboratory of Photovoltaic Science and Technology, Changzhou University, Changzhou 213164, Jiangsu, China
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18
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Wang B, Zhang W, Lai C, Liu Y, Guo H, Zhang D, Guo Z. Facile Design of Flexible, Strong, and Highly Conductive MXene-Based Composite Films for Multifunctional Applications. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2302335. [PMID: 37661587 DOI: 10.1002/smll.202302335] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 07/28/2023] [Indexed: 09/05/2023]
Abstract
Strong, conductive, and flexible materials with improving ion accessibility have attracted significant attention in electromagnetic interference (EMI) and foldable wearable electronics. However, it still remains a great challenge to realize high performance at the same time for both properties. Herein, a microscale structural design combined with nanostructures strategy to fabricate TOCNF(F)/Ti3 C2 Tx (M)@AgNW(A) composite films via a facile vacuum filtration process followed by hot pressing (TOCNF = TEMPO-oxidized cellulose nanofibrils, NW = nanowires) is described. The comparison reveals that different microscale structures can significantly influence the properties of thin films, especially their electrochemical properties. Impressively, the ultrathin MA/F/MA film with enhanced layer in the middle exhibits an excellent tensile strength of 107.9 MPa, an outstanding electrical conductivity of 8.4 × 106 S m-1 , and a high SSE/t of 26 014.52 dB cm2 g-1 . The assembled asymmetric MA/F/MA//TOCNF@CNT (carbon nanotubes) supercapacitor leads to a significantly high areal energy density of 49.08 µWh cm-2 at a power density of 777.26 µW cm-2 . This study proposes an effective strategy to circumvent the trade-off between EMI performance and electrochemical properties, providing an inspiration for the fabrication of multifunctional films for a wide variety of applications in aerospace, national defense, precision instruments, and next-generation electronics.
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Affiliation(s)
- Beibei Wang
- Key Laboratory of Wood Material Science and Application (Beijing Forestry University), Ministry of Education, Beijing, 100083, China
- Engineering Research Center of Forestry Biomass Materials and Energy, Ministry of Education, Beijing Forestry University, Beijing, 100083, China
| | - Weiye Zhang
- Key Laboratory of Wood Material Science and Application (Beijing Forestry University), Ministry of Education, Beijing, 100083, China
- Engineering Research Center of Forestry Biomass Materials and Energy, Ministry of Education, Beijing Forestry University, Beijing, 100083, China
| | - Chenhuan Lai
- Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing Forestry University, Nanjing, Jiangsu, 210037, China
| | - Yi Liu
- Key Laboratory of Wood Material Science and Application (Beijing Forestry University), Ministry of Education, Beijing, 100083, China
- Engineering Research Center of Forestry Biomass Materials and Energy, Ministry of Education, Beijing Forestry University, Beijing, 100083, China
| | - Hongwu Guo
- Key Laboratory of Wood Material Science and Application (Beijing Forestry University), Ministry of Education, Beijing, 100083, China
- Engineering Research Center of Forestry Biomass Materials and Energy, Ministry of Education, Beijing Forestry University, Beijing, 100083, China
| | - Daihui Zhang
- Key Laboratory of Wood Material Science and Application (Beijing Forestry University), Ministry of Education, Beijing, 100083, China
- Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing Forestry University, Nanjing, Jiangsu, 210037, China
- Institute of Chemical Industry of Forest Products, Chinese Academy of Forestry, Nanjing, Jiangsu, 210042, China
| | - Zhanhu Guo
- Integrated Composites Lab, Department of Mechanical and Construction Engineering, Northumbria University, Newcastle Upon Tyne, NE1 8ST, UK
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19
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Jiang Q, Hu Z, Wu K, Wu W, Zhang S, Ding H, Wu Z. Squid-Inspired Powerful Untethered Soft Pumps via Magnetically Induced Phase Transitions. Soft Robot 2023. [PMID: 38011800 DOI: 10.1089/soro.2022.0118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023] Open
Abstract
Soft robots possess unique deformability and hence result in great adaptability to various unconstructive environments; meanwhile, untethered soft actuation techniques are critical in fully exploiting their potential for practical applications. However, restricted by the material's softness and structural compliance, most untethered actuation systems were incapable of achieving fully soft construction with a powerful output. While in Nature, with a fully soft body, a squid can burst high-pressure jet flow from a cavity that drives the squid to swim swiftly. Here, inspired by such a unique actuation strategy of squids, an entirely soft pump capable of high-pressure output, fast jetting, and untethered control is presented, and it helps a bionic soft robotic squid to achieve a high-efficient untethered motion in water. The soft pump is designed by a reversible liquid-gas phase transition of an inductive heating magnetic liquid metal composite that acts as an adjustable power source with high heat efficiency. In particular, being purely soft, the pump can yet lift ∼20 times its weight and achieve ∼3 times the specific pressure of the previous record. It may promote the application of soft robots with independent actuation, high output power, and embodied energy supply.
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Affiliation(s)
- Qin Jiang
- State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
| | - Zhitong Hu
- State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
| | - Kefan Wu
- State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
| | - Wenjun Wu
- State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
| | - Shuo Zhang
- State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
| | - Han Ding
- State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
| | - Zhigang Wu
- State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
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20
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Shang C, Fu B, Tuo J, Guo X, Li Z, Wang Z, Xu L, Guo J. Soft Biomimetic Fiber-Optic Tactile Sensors Capable of Discriminating Temperature and Pressure. ACS APPLIED MATERIALS & INTERFACES 2023; 15:53264-53272. [PMID: 37934693 DOI: 10.1021/acsami.3c12712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
Tactile sensors with high softness and multisensory functions are highly desirable for applications in humanoid robotics, smart prosthetics, and human-machine interfaces. Here, we report a soft biomimetic fiber-optic tactile (SBFT) sensor that offers skin-like tactile sensing abilities to perceive and discriminate temperature and pressure. The SBFT sensor is fabricated by encapsulating a macrobent fiber Bragg grating (FBG) in an elastomeric droplet-shaped structure that results in two optical resonances associated with the FBG and excited whispering gallery modes (WGMs) propagating along the bent region. Benefiting from the different thermo-optic and stress-optic effects of FBG and WGM resonances, the pressure and temperature can be fully decoupled with a high precision of 0.2 °C and 0.8 mN, respectively. To achieve a compact system for signal demodulation, a single-cavity dual-comb fiber laser is developed to interrogate the SBFT sensor based on dual-comb spectroscopy, which enables fast spectral sampling with a single photodiode. We show that the SBFT sensor is capable of perceiving pressure, temperature, and hardness in touching soft tissues and human skins, demonstrating great promise for soft tissue palpation and human-like robotic perception.
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Affiliation(s)
- Ce Shang
- School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
| | - Bo Fu
- School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
- Key Laboratory of Big Data-Based Precision Medicine Ministry of Industry and Information Technology, School of Engineering Medicine, Beihang University, Beijing 100191, China
| | - Jialin Tuo
- School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
| | - Xiaoyan Guo
- School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
| | - Zhuozhou Li
- School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
| | - Zhixin Wang
- School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
| | - Lijun Xu
- School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
| | - Jingjing Guo
- School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
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21
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Baines R, Zuliani F, Chennoufi N, Joshi S, Kramer-Bottiglio R, Paik J. Multi-modal deformation and temperature sensing for context-sensitive machines. Nat Commun 2023; 14:7499. [PMID: 37980333 PMCID: PMC10657382 DOI: 10.1038/s41467-023-42655-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 10/17/2023] [Indexed: 11/20/2023] Open
Abstract
Owing to the remarkable properties of the somatosensory system, human skin compactly perceives myriad forms of physical stimuli with high precision. Machines, conversely, are often equipped with sensory suites constituted of dozens of unique sensors, each made for detecting limited stimuli. Emerging high degree-of-freedom human-robot interfaces and soft robot applications are delimited by the lack of simple, cohesive, and information-dense sensing technologies. Stepping toward biological levels of proprioception, we present a sensing technology capable of decoding omnidirectional bending, compression, stretch, binary changes in temperature, and combinations thereof. This multi-modal deformation and temperature sensor harnesses chromaticity and intensity of light as it travels through patterned elastomer doped with functional dyes. Deformations and temperature shifts augment the light chromaticity and intensity, resulting in a one-to-one mapping between stimulus modes that are sequentially combined and the sensor output. We study the working principle of the sensor via a comprehensive opto-thermo-mechanical assay, and find that the information density provided by a single sensing element permits deciphering rich and diverse human-robot and robot-environmental interactions.
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Affiliation(s)
- Robert Baines
- School of Engineering & Applied Science, Yale University, 9 Hillhouse Avenue, New Haven, CT, 06520, USA
- School of Engineering, Ecole Polytechnique Fédérale de Lausanne, EPFL STI IGM RRL MED 1 2313 Station 9, Vaud, 1025, Switzerland
| | - Fabio Zuliani
- School of Engineering, Ecole Polytechnique Fédérale de Lausanne, EPFL STI IGM RRL MED 1 2313 Station 9, Vaud, 1025, Switzerland
| | - Neil Chennoufi
- School of Engineering, Ecole Polytechnique Fédérale de Lausanne, EPFL STI IGM RRL MED 1 2313 Station 9, Vaud, 1025, Switzerland
| | - Sagar Joshi
- School of Engineering, Ecole Polytechnique Fédérale de Lausanne, EPFL STI IGM RRL MED 1 2313 Station 9, Vaud, 1025, Switzerland
| | - Rebecca Kramer-Bottiglio
- School of Engineering & Applied Science, Yale University, 9 Hillhouse Avenue, New Haven, CT, 06520, USA
| | - Jamie Paik
- School of Engineering, Ecole Polytechnique Fédérale de Lausanne, EPFL STI IGM RRL MED 1 2313 Station 9, Vaud, 1025, Switzerland.
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22
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Zhou J, Fu C, Fang J, Shang K, Pu X, Zhang Y, Jiang Z, Lu X, He C, Jia L, Yao Y, Qian L, Yang T. Prosthetic finger for fingertip tactile sensing via flexible chromatic optical waveguides. MATERIALS HORIZONS 2023; 10:4940-4951. [PMID: 37609940 DOI: 10.1039/d3mh00921a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Building prosthetics indistinguishable from human limbs to accurately receive and transmit sensory information to users not only promises to radically improve the lives of amputees, but also shows potential in a range of robotic applications. Currently, a mainstream approach is to embed electrical or optical sensors with force/thermal sensing functions on the surface or inside of prosthetic fingers. Compared with electrical sensing technologies, tactile sensors based on stretchable optical waveguides have the advantages of easy fabrication, chemical safety, environmental stability, and compatibility with prosthetic structural materials. However, so far, research has mainly focused on the perception of finger joint motion or external press, and there is still a lack of study on optical sensors with fingertip tactile capabilities (such as texture, hardness, slip detection, etc.). Here we report a 3D printing prosthetic finger with flexible chromatic optical waveguides implanted at the fingertip. The finger achieves distributed displacement/force sensing detection, and exhibits high sensitivity, fast response and good stability. The finger can be used to conduct active sensory experiments, and the detection parameters include object contour, hardness, slip direction and speed, temperature, etc. Finally, exploratory research on identifying and manipulating objects is carried out with this finger. The developed prosthetic finger can artificially recreate touch perception and realize complex functions such as note-writing analysis and braille recognition.
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Affiliation(s)
- Jian Zhou
- Tribology Research Institute, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China.
| | - Chunqiao Fu
- Tribology Research Institute, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China.
| | - Jiahao Fang
- Tribology Research Institute, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China.
| | - Kedong Shang
- Tribology Research Institute, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China.
| | - Xiaobo Pu
- Tribology Research Institute, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China.
- China Railway Academy CO., LTD., Chengdu 610031, P. R. China
| | - Yong Zhang
- Tribology Research Institute, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China.
| | - Zhongbao Jiang
- Tribology Research Institute, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China.
| | - Xulei Lu
- Tribology Research Institute, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China.
| | - Changliu He
- Tribology Research Institute, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China.
| | - Lingxu Jia
- Tribology Research Institute, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China.
| | - Yuming Yao
- Tribology Research Institute, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China.
| | - Linmao Qian
- Tribology Research Institute, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China.
| | - Tingting Yang
- Tribology Research Institute, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China.
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23
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Yi L, Hou B, Liu X. Optical Integration in Wearable, Implantable and Swallowable Healthcare Devices. ACS NANO 2023; 17:19491-19501. [PMID: 37807286 DOI: 10.1021/acsnano.3c04284] [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: 10/10/2023]
Abstract
Recent advances in materials and semiconductor technologies have led to extensive research on optical integration in wearable, implantable, and swallowable health devices. These optical systems utilize the properties of light─intensity, wavelength, polarization, and phase─to monitor and potentially intervene in various biological events. The potential of these devices is greatly enhanced through the use of multifunctional optical materials, adaptable integration processes, advanced optical sensing principles, and optimized artificial intelligence algorithms. This synergy creates many possibilities for clinical applications. This Perspective discusses key opportunities, challenges, and future directions, particularly with respect to sensing modalities, multifunctionality, and the integration of miniaturized optoelectronic devices. We present fundamental insights and illustrative examples of such devices in wearable, implantable, and swallowable forms. The constant pursuit of innovation and the dedicated approach to critical challenges are poised to influence diverse fields.
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Affiliation(s)
- Luying Yi
- Department of Chemistry, National University of Singapore, 117543, Singapore
| | - Bo Hou
- Department of Chemistry, National University of Singapore, 117543, Singapore
| | - Xiaogang Liu
- Department of Chemistry, National University of Singapore, 117543, Singapore
- Joint School of National University of Singapore and Tianjin University, International Campus of Tianjin University, Binhai New City, Fuzhou 350207, China
- Center for Functional Materials, National University of Singapore Suzhou Research Institute, Suzhou 215123, China
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24
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Zhao G, Wu T, Wang R, Li Z, Yang Q, Wang L, Zhou H, Jin B, Liu H, Fang Y, Wang D, Xu F. Hydrogel-assisted microfluidic spinning of stretchable fibers via fluidic and interfacial self-adaptations. SCIENCE ADVANCES 2023; 9:eadj5407. [PMID: 37862410 PMCID: PMC10588953 DOI: 10.1126/sciadv.adj5407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 09/18/2023] [Indexed: 10/22/2023]
Abstract
Stretchable polymeric fibers have enormous potential, but their production requires rigorous environmental controls and considerable resource consumption. It's also challenging for elastic polymers with high performance but poor spinnability, such as silicones like polydimethylsiloxane and Ecoflex. We present a hydrogel-assisted microfluidic spinning (HAMS) method to address these challenges by encapsulating their prepolymers within arbitrarily long, protective, and sacrificable hydrogel fibers. By designing simple apparatuses and manipulating the fluidic and interfacial self-adaptations of oil/water flows, we successfully produce fibers with widely controllable diameter (0.04 to 3.70 millimeters), notable length, high quality (e.g., smooth surface, whole-length uniformity, and rounded section), and remarkable stretchability (up to 1300%) regardless of spinnability. Uniquely, this method allows an easy, effective, and controllable reshaping production of helical fibers with exceptional stretchability and mechanical compliance. We deeply reveal the mechanisms in producing these fibers and demonstrate their potential as textile components, optoelectronic devices, and actuators. The HAMS method would be a powerful tool for mass-producing high-quality stretchable fibers.
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Affiliation(s)
- Guoxu Zhao
- State Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570228, P.R. China
| | - Tinglong Wu
- State Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570228, P.R. China
| | - Ruhai Wang
- School of Material Science and Chemical Engineering, Xi’an Technological University, Xi’an 710021, P.R. China
| | - Zhong Li
- School of Material Science and Chemical Engineering, Xi’an Technological University, Xi’an 710021, P.R. China
| | - Qingzhen Yang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, P.R. China
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi’an Jiaotong University, Xi’an 710049, P.R. China
| | - Lei Wang
- State Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570228, P.R. China
| | - Hongwei Zhou
- School of Material Science and Chemical Engineering, Xi’an Technological University, Xi’an 710021, P.R. China
| | - Birui Jin
- School of Material Science and Chemical Engineering, Xi’an Technological University, Xi’an 710021, P.R. China
| | - Hao Liu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, P.R. China
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi’an Jiaotong University, Xi’an 710049, P.R. China
| | - Yunsheng Fang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, P.R. China
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi’an Jiaotong University, Xi’an 710049, P.R. China
| | - Dong Wang
- State Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570228, P.R. China
| | - Feng Xu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, P.R. China
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi’an Jiaotong University, Xi’an 710049, P.R. China
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25
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Rao H, Luo B, Wu D, Yi P, Chen F, Shi S, Zou X, Chen Y, Zhao M. Study on the Design and Performance of a Glove Based on the FBG Array for Hand Posture Sensing. SENSORS (BASEL, SWITZERLAND) 2023; 23:8495. [PMID: 37896588 PMCID: PMC10610997 DOI: 10.3390/s23208495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 10/08/2023] [Accepted: 10/13/2023] [Indexed: 10/29/2023]
Abstract
This study introduces a new wearable fiber-optic sensor glove. The glove utilizes a flexible material, polydimethylsiloxane (PDMS), and a silicone tube to encapsulate fiber Bragg gratings (FBGs). It is employed to enable the self-perception of hand posture, gesture recognition, and the prediction of grasping objects. The investigation employs the Support Vector Machine (SVM) approach for predicting grasping objects. The proposed fiber-optic sensor glove can concurrently monitor the motion of 14 hand joints comprising 5 metacarpophalangeal joints (MCP), 5 proximal interphalangeal joints (PIP), and 4 distal interphalangeal joints (DIP). To expand the measurement range of the sensors, a sinusoidal layout incorporates the FBG array into the glove. The experimental results indicate that the wearable sensing glove can track finger flexion within a range of 0° to 100°, with a modest minimum measurement error (Error) of 0.176° and a minimum standard deviation (SD) of 0.685°. Notably, the glove accurately detects hand gestures in real-time and even forecasts grasping actions. The fiber-optic smart glove technology proposed herein holds promising potential for industrial applications, including object grasping, 3D displays via virtual reality, and human-computer interaction.
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Affiliation(s)
| | - Binbin Luo
- Chongqing Key Laboratory of Optical Fiber Sensor and Photoelectric Detection, Chongqing University of Technology, Chongqing 400054, China; (H.R.); (D.W.); (P.Y.); (F.C.); (S.S.); (X.Z.); (Y.C.); (M.Z.)
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26
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Luo Y, Sun C, Wei M, Ma H, Wu Y, Chen Z, Dai H, Jian J, Sun B, Zhong C, Li J, Richardson KA, Lin H, Li L. Integrated Flexible Microscale Mechanical Sensors Based on Cascaded Free Spectral Range-Free Cavities. NANO LETTERS 2023; 23:8898-8906. [PMID: 37676244 DOI: 10.1021/acs.nanolett.3c02239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Abstract
Photonic mechanical sensors offer several advantages over their electronic counterparts, including immunity to electromagnetic interference, increased sensitivity, and measurement accuracy. Exploring flexible mechanical sensors on deformable substrates provides new opportunities for strain-optical coupling operations. Nevertheless, existing flexible photonics strategies often require cumbersome signal collection and analysis with bulky setups, limiting their portability and affordability. To address these challenges, we propose a waveguide-integrated flexible mechanical sensor based on cascaded photonic crystal microcavities with inherent deformation and biaxial tensile state analysis. Leveraging the advanced multiplexing capability of the sensor, for the first time, we successfully demonstrate 2D shape reconstruction and quasi-distributed strain sensing with 110 μm spatial resolution. Our microscale mechanical sensor also exhibits exceptional sensitivity with a detected force level as low as 13.6 μN in real-time measurements. This sensing platform has potential applications in various fields, including biomedical sensing, surgical catheters, aircraft and spacecraft engineering, and robotic photonic skin development.
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Affiliation(s)
- Ye Luo
- Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou 310030, China
- Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou 310024, China
| | - Chunlei Sun
- Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou 310030, China
- Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou 310024, China
| | - Maoliang Wei
- State Key Laboratory of Modern Optical Instrumentation, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
- MOE Frontier Science Center for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou 310027, China
| | - Hui Ma
- State Key Laboratory of Modern Optical Instrumentation, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
- MOE Frontier Science Center for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou 310027, China
| | - Yingchun Wu
- Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou 310030, China
- Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou 310024, China
| | - Zequn Chen
- Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou 310030, China
- Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou 310024, China
| | - Hao Dai
- State Key Laboratory of Modern Optical Instrumentation, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
- MOE Frontier Science Center for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou 310027, China
| | - Jialing Jian
- Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou 310024, China
- State Key Laboratory of Modern Optical Instrumentation, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
| | - Boshu Sun
- Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou 310024, China
- State Key Laboratory of Modern Optical Instrumentation, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
| | - Chuyu Zhong
- State Key Laboratory of Modern Optical Instrumentation, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
- MOE Frontier Science Center for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou 310027, China
| | - Junying Li
- State Key Laboratory of Modern Optical Instrumentation, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
- MOE Frontier Science Center for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou 310027, China
| | - Kathleen A Richardson
- The College of Optics & Photonics, Department of Materials Science & Engineering, University of Central Florida, Orlando, Florida 32816, United States
| | - Hongtao Lin
- State Key Laboratory of Modern Optical Instrumentation, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
- MOE Frontier Science Center for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou 310027, China
| | - Lan Li
- Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou 310030, China
- Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou 310024, China
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27
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Song X, Wang Q, Liu Q, Yu L, Wang S, Yao N, Tong L, Zhang L. Twisted Optical Micro/Nanofibers Enabled Detection of Subtle Temperature Variation. ACS APPLIED MATERIALS & INTERFACES 2023; 15:47177-47183. [PMID: 37755699 DOI: 10.1021/acsami.3c07831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
The detection of subtle temperature variation plays an important role in many applications, including proximity sensing in robotics, temperature measurements in microfluidics, and tumor monitoring in healthcare. Herein, a flexible miniaturized optical temperature sensor is fabricated by embedding twisted micro/nanofibers in a thin layer of polydimethylsiloxane. Enabled by the dramatic change of the coupling ratio under subtle temperature variation, the sensor exhibits an ultrahigh sensitivity (-30 nm/°C) and high resolution (0.0012 °C). As a proof-of-concept demonstration, a robotic arm equipped with our sensor can avoid undesired collisions by detecting the subtle temperature variation caused by the existence of a human. Moreover, benefiting from the miniaturized and engineerable sensing structure, real-time measurement of subtle temperature variation in microfluidic chips is realized. These initial results pave the way toward a category of optical sensing devices ranging from robotic skin to human-machine interfaces and implantable healthcare sensors.
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Affiliation(s)
- Xingda Song
- Research Center for Humanoid Sensing, Zhejiang Lab, Hangzhou 311121, China
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Qi Wang
- Research Center for Humanoid Sensing, Zhejiang Lab, Hangzhou 311121, China
| | - Qiulan Liu
- Research Center for Intelligent Chips and Devices, Zhejiang Lab, Hangzhou 311121, China
| | - Longteng Yu
- Research Center for Humanoid Sensing, Zhejiang Lab, Hangzhou 311121, China
| | - Shipeng Wang
- Research Center for Humanoid Sensing, Zhejiang Lab, Hangzhou 311121, China
| | - Ni Yao
- Research Center for Humanoid Sensing, Zhejiang Lab, Hangzhou 311121, China
| | - Limin Tong
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Lei Zhang
- Research Center for Humanoid Sensing, Zhejiang Lab, Hangzhou 311121, China
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
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28
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Zhang Z, Liu G, Li Z, Zhang W, Meng Q. Flexible tactile sensors with biomimetic microstructures: Mechanisms, fabrication, and applications. Adv Colloid Interface Sci 2023; 320:102988. [PMID: 37690330 DOI: 10.1016/j.cis.2023.102988] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 08/07/2023] [Accepted: 08/26/2023] [Indexed: 09/12/2023]
Abstract
In recent years, flexible devices have gained rapid development with great potential in daily life. As the core component of wearable devices, flexible tactile sensors are prized for their excellent properties such as lightweight, stretchable and foldable. Consequently, numerous high-performance sensors have been developed, along with an array of innovative fabrication processes. It has been recognized that the improvement of the single performance index for flexible tactile sensors is not enough for practical sensing applications. Therefore, balancing and optimization of overall performance of the sensor are extensively anticipated. Furthermore, new functional characteristics are required for practical applications, such as freeze resistance, corrosion resistance, self-cleaning, and degradability. From a bionic perspective, the overall performance of a sensor can be optimized by constructing bionic microstructures which can deliver additional functional features. This review briefly summarizes the latest developments in bionic microstructures for different types of tactile sensors and critically analyzes the sensing performance of fabricated flexible tactile sensors. Based on this, the application prospects of bionic microstructure-based tactile sensors in human detection and human-machine interaction devices are introduced.
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Affiliation(s)
- Zhuoqing Zhang
- College of Bioresources Chemical and Materials Engineering, National Demonstration Center for Experimental Light Chemistry Engineering Education, Shaanxi University of Science and Technology, Xi'an 710021, People's Republic of China; Key Laboratory of Functional Printing and Transport Packaging of China National Light Industry, Key Laboratory of Paper-based Functional Materials of China National Light Industry, Shaanxi Provincial Key Laboratory of Papermaking Technology and Specialty Paper Development, Shaanxi University of Science and Technology, Xi'an 710021, People's Republic of China
| | - Guodong Liu
- College of Bioresources Chemical and Materials Engineering, National Demonstration Center for Experimental Light Chemistry Engineering Education, Shaanxi University of Science and Technology, Xi'an 710021, People's Republic of China; Key Laboratory of Functional Printing and Transport Packaging of China National Light Industry, Key Laboratory of Paper-based Functional Materials of China National Light Industry, Shaanxi Provincial Key Laboratory of Papermaking Technology and Specialty Paper Development, Shaanxi University of Science and Technology, Xi'an 710021, People's Republic of China.
| | - Zhijian Li
- College of Bioresources Chemical and Materials Engineering, National Demonstration Center for Experimental Light Chemistry Engineering Education, Shaanxi University of Science and Technology, Xi'an 710021, People's Republic of China; Key Laboratory of Functional Printing and Transport Packaging of China National Light Industry, Key Laboratory of Paper-based Functional Materials of China National Light Industry, Shaanxi Provincial Key Laboratory of Papermaking Technology and Specialty Paper Development, Shaanxi University of Science and Technology, Xi'an 710021, People's Republic of China
| | - Wenliang Zhang
- College of Bioresources Chemical and Materials Engineering, National Demonstration Center for Experimental Light Chemistry Engineering Education, Shaanxi University of Science and Technology, Xi'an 710021, People's Republic of China; Key Laboratory of Functional Printing and Transport Packaging of China National Light Industry, Key Laboratory of Paper-based Functional Materials of China National Light Industry, Shaanxi Provincial Key Laboratory of Papermaking Technology and Specialty Paper Development, Shaanxi University of Science and Technology, Xi'an 710021, People's Republic of China
| | - Qingjun Meng
- College of Bioresources Chemical and Materials Engineering, National Demonstration Center for Experimental Light Chemistry Engineering Education, Shaanxi University of Science and Technology, Xi'an 710021, People's Republic of China; Key Laboratory of Functional Printing and Transport Packaging of China National Light Industry, Key Laboratory of Paper-based Functional Materials of China National Light Industry, Shaanxi Provincial Key Laboratory of Papermaking Technology and Specialty Paper Development, Shaanxi University of Science and Technology, Xi'an 710021, People's Republic of China
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29
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Liu YF, Wang W, Chen XF. Progress and prospects in flexible tactile sensors. Front Bioeng Biotechnol 2023; 11:1264563. [PMID: 37829569 PMCID: PMC10565956 DOI: 10.3389/fbioe.2023.1264563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 09/11/2023] [Indexed: 10/14/2023] Open
Abstract
Flexible tactile sensors have the advantages of large deformation detection, high fault tolerance, and excellent conformability, which enable conformal integration onto the complex surface of human skin for long-term bio-signal monitoring. The breakthrough of flexible tactile sensors rather than conventional tactile sensors greatly expanded application scenarios. Flexible tactile sensors are applied in fields including not only intelligent wearable devices for gaming but also electronic skins, disease diagnosis devices, health monitoring devices, intelligent neck pillows, and intelligent massage devices in the medical field; intelligent bracelets and metaverse gloves in the consumer field; as well as even brain-computer interfaces. Therefore, it is necessary to provide an overview of the current technological level and future development of flexible tactile sensors to ease and expedite their deployment and to make the critical transition from the laboratory to the market. This paper discusses the materials and preparation technologies of flexible tactile sensors, summarizing various applications in human signal monitoring, robotic tactile sensing, and human-machine interaction. Finally, the current challenges on flexible tactile sensors are also briefly discussed, providing some prospects for future directions.
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Affiliation(s)
- Ya-Feng Liu
- College of Artificial Intelligence, Southwest University, Chongqing, China
- College of Aerospace Engineering, Chongqing University, Chongqing, China
- Chongqing 2D Materials Institute, Chongqing, China
| | - Wei Wang
- College of Artificial Intelligence, Southwest University, Chongqing, China
| | - Xu-Fang Chen
- College of Artificial Intelligence, Southwest University, Chongqing, China
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30
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Li H, Meng W, Cao L, Zhang L, Liu Y, Lin Z, Zhao R, Song Z, Ren F, Zhang S, Chen L, Bai J, Cao M, Wang Y, Zhu Z, Gao T, Li E, Prades JD. Fabrication and characterization of polymer optical waveguide Bragg grating for pulse signal sensing. OPTICS EXPRESS 2023; 31:32458-32467. [PMID: 37859048 DOI: 10.1364/oe.496427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 09/01/2023] [Indexed: 10/21/2023]
Abstract
Polymer materials have the advantages of a low Young's modulus and low-cost preparation process. In this paper, a polymer-based optical waveguide pressure sensor based on a Bragg structure is proposed. The change in the Bragg wavelength in the output spectrum of the waveguide Bragg grating (WBG) is used to linearly characterize the change in pressure acting on the device. The polymer-based WBG was developed through a polymer film preparation process, and the experimental results show that the output signal of the device has a sensitivity of 1.275 nm/kPa with a measurement range of 0-12 kPa and an accuracy of 1 kPa. The experimental results indicate that the device already perfectly responds to a pulse signal. It has significant potential application value in medical diagnostics and health testing, such as blood pressure monitoring, sleep quality monitoring, and tactile sensing.
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31
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Sun K, Wang Z, Liu Q, Chen H, Cui W. Low-Cost Distributed Optical Waveguide Shape Sensor Based on WTDM Applied in Bionics. SENSORS (BASEL, SWITZERLAND) 2023; 23:7334. [PMID: 37687790 PMCID: PMC10490180 DOI: 10.3390/s23177334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/14/2023] [Accepted: 08/21/2023] [Indexed: 09/10/2023]
Abstract
Bionic robotics, driven by advancements in artificial intelligence, new materials, and manufacturing technologies, is attracting significant attention from research and industry communities seeking breakthroughs. One of the key technologies for achieving a breakthrough in robotics is flexible sensors. This paper presents a novel approach based on wavelength and time division multiplexing (WTDM) for distributed optical waveguide shape sensing. Structurally designed optical waveguides based on color filter blocks validate the proposed approach through a cost-effective experimental setup. During data collection, it combines optical waveguide transmission loss and the way of controlling the color and intensity of the light source and detecting color and intensity variations for modeling. An artificial neural network is employed to model and demodulate a data-driven optical waveguide shape sensor. As a result, the correlation coefficient between the predicted and real bending angles reaches 0.9134 within 100 s. To show the parsing performance of the model more intuitively, a confidence accuracy curve is introduced to describe the accuracy of the data-driven model at last.
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Affiliation(s)
- Kai Sun
- Zhejiang University-Westlake University Joint Training, Zhejiang University, Hangzhou 310027, China
- Key Laboratory of Coastal Environment and Resources of Zhejiang Province (KLCER), School of Engineering, Westlake University, Hangzhou 310030, China
| | - Zhenhua Wang
- Zhejiang University-Westlake University Joint Training, Zhejiang University, Hangzhou 310027, China
- Key Laboratory of Coastal Environment and Resources of Zhejiang Province (KLCER), School of Engineering, Westlake University, Hangzhou 310030, China
| | - Qimeng Liu
- Zhejiang University-Westlake University Joint Training, Zhejiang University, Hangzhou 310027, China
- Key Laboratory of Coastal Environment and Resources of Zhejiang Province (KLCER), School of Engineering, Westlake University, Hangzhou 310030, China
| | - Hao Chen
- Zhejiang University-Westlake University Joint Training, Zhejiang University, Hangzhou 310027, China
- Key Laboratory of Coastal Environment and Resources of Zhejiang Province (KLCER), School of Engineering, Westlake University, Hangzhou 310030, China
| | - Weicheng Cui
- Key Laboratory of Coastal Environment and Resources of Zhejiang Province (KLCER), School of Engineering, Westlake University, Hangzhou 310030, China
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32
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Yang J, Chen Y, Liu S, Liu C, Ma T, Luo Z, Ge G. Single-Line Multi-Channel Flexible Stress Sensor Arrays. MICROMACHINES 2023; 14:1554. [PMID: 37630090 PMCID: PMC10456942 DOI: 10.3390/mi14081554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 08/01/2023] [Accepted: 08/01/2023] [Indexed: 08/27/2023]
Abstract
Flexible stress sensor arrays, comprising multiple flexible stress sensor units, enable accurate quantification and analysis of spatial stress distribution. Nevertheless, the current implementation of flexible stress sensor arrays faces the challenge of excessive signal wires, resulting in reduced deformability, stability, reliability, and increased costs. The primary obstacle lies in the electric amplitude modulation nature of the sensor unit's signal (e.g., resistance and capacitance), allowing only one signal per wire. To overcome this challenge, the single-line multi-channel signal (SLMC) measurement has been developed, enabling simultaneous detection of multiple sensor signals through one or two signal wires, which effectively reduces the number of signal wires, thereby enhancing stability, deformability, and reliability. This review offers a general knowledge of SLMC measurement beginning with flexible stress sensors and their piezoresistive, capacitive, piezoelectric, and triboelectric sensing mechanisms. A further discussion is given on different arraying methods and their corresponding advantages and disadvantages. Finally, this review categorizes existing SLMC measurement methods into RLC series resonant sensing, transmission line sensing, ionic conductor sensing, triboelectric sensing, piezoresistive sensing, and distributed fiber optic sensing based on their mechanisms, describes the mechanisms and characteristics of each method and summarizes the research status of SLMC measurement.
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Affiliation(s)
- Jiayi Yang
- College of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an 710054, China
- College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
| | - Yuanyuan Chen
- College of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an 710054, China
| | - Shuoyan Liu
- Department of Materials Science and Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Chang Liu
- Department of Materials Science and Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Tian Ma
- College of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an 710054, China
- College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
| | - Zhenmin Luo
- College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
| | - Gang Ge
- Department of Materials Science and Engineering, National University of Singapore, Singapore 117583, Singapore
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Wang L, Lam J, Chen X, Li J, Zhang R, Su Y, Wang Z. Soft Robot Proprioception Using Unified Soft Body Encoding and Recurrent Neural Network. Soft Robot 2023; 10:825-837. [PMID: 37001175 DOI: 10.1089/soro.2021.0056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023] Open
Abstract
Compared with rigid robots, soft robots are inherently compliant and have advantages in the tasks requiring flexibility and safety. But sensing the high dimensional body deformation of soft robots is a challenge. Encasing soft strain sensors into the internal body of soft robots is the most popular solution to address this challenge. But most of them usually suffer from problems like nonlinearity, hysteresis, and fabrication complexity. To endow the soft robots with body movement awareness, this work presents a bioinspired architecture by taking cues from human proprioception system. Differing from the popular usage of smart material-based sensors embedded in soft actuators, we created a synthetic analog to the human muscle system, using paralleled soft pneumatic chambers to serve as receptors for sensing body deformation. We proposed to build the system with redundant receptors and explored deep learning tools for generating the kinematic model. Based on the proposed methodology, we demonstrated the design of three degrees of freedom continuum joint and how its kinematic model was learned from the unified pressure information of the actuators and receptors. In addition, we investigated the response of the soft system to receptor failures and presented both hardware and software level solutions for achieving graceful degradation. This approach offers an alternative to enable soft robots with proprioception capability, which will be useful for closed-loop control and interaction with environment.
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Affiliation(s)
- Liangliang Wang
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China
| | - James Lam
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China
| | - Xiaojiao Chen
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China
| | - Jing Li
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China
| | - Runzhi Zhang
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China
| | - Yinyin Su
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China
- Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Zheng Wang
- Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China
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Xin C, Ren Z, Zhang L, Yang L, Wang D, Hu Y, Li J, Chu J, Zhang L, Wu D. Light-triggered multi-joint microactuator fabricated by two-in-one femtosecond laser writing. Nat Commun 2023; 14:4273. [PMID: 37460571 DOI: 10.1038/s41467-023-40038-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 07/10/2023] [Indexed: 07/20/2023] Open
Abstract
Inspired by the flexible joints of humans, actuators containing soft joints have been developed for various applications, including soft grippers, artificial muscles, and wearable devices. However, integrating multiple microjoints into soft robots at the micrometer scale to achieve multi-deformation modalities remains challenging. Here, we propose a two-in-one femtosecond laser writing strategy to fabricate microjoints composed of hydrogel and metal nanoparticles, and develop multi-joint microactuators with multi-deformation modalities (>10), requiring short response time (30 ms) and low actuation power (<10 mW) to achieve deformation. Besides, independent joint deformation control and linkage of multi-joint deformation, including co-planar and spatial linkage, enables the microactuator to reconstruct a variety of complex human-like modalities. Finally, as a proof of concept, the collection of multiple microcargos at different locations is achieved by a double-joint micro robotic arm. Our microactuators with multiple modalities will bring many potential application opportunities in microcargo collection, microfluid operation, and cell manipulation.
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Affiliation(s)
- Chen Xin
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230026, China
- Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, 999077, China
| | - Zhongguo Ren
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230026, China
| | - Leran Zhang
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230026, China
| | - Liang Yang
- Suzhou Institute for Advanced Research, University of Science and Technology of China, Minde Building, Renai Road, 215123, Suzhou, P. R. China
| | - Dawei Wang
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230026, China
| | - Yanlei Hu
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230026, China
| | - Jiawen Li
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230026, China
| | - Jiaru Chu
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230026, China
| | - Li Zhang
- Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, 999077, China
| | - Dong Wu
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230026, China.
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35
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Yu H, Li H, Sun X, Pan L. Biomimetic Flexible Sensors and Their Applications in Human Health Detection. Biomimetics (Basel) 2023; 8:293. [PMID: 37504181 PMCID: PMC10807369 DOI: 10.3390/biomimetics8030293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 06/27/2023] [Accepted: 06/27/2023] [Indexed: 07/29/2023] Open
Abstract
Bionic flexible sensors are a new type of biosensor with high sensitivity, selectivity, stability, and reliability to achieve detection in complex natural and physiological environments. They provide efficient, energy-saving and convenient applications in medical monitoring and diagnosis, environmental monitoring, and detection and identification. Combining sensor devices with flexible substrates to imitate flexible structures in living organisms, thus enabling the detection of various physiological signals, has become a hot topic of interest. In the field of human health detection, the application of bionic flexible sensors is flourishing and will evolve into patient-centric diagnosis and treatment in the future of healthcare. In this review, we provide an up-to-date overview of bionic flexible devices for human health detection applications and a comprehensive summary of the research progress and potential of flexible sensors. First, we evaluate the working mechanisms of different classes of bionic flexible sensors, describing the selection and fabrication of bionic flexible materials and their excellent electrochemical properties; then, we introduce some interesting applications for monitoring physical, electrophysiological, chemical, and biological signals according to more segmented health fields (e.g., medical diagnosis, rehabilitation assistance, and sports monitoring). We conclude with a summary of the advantages of current results and the challenges and possible future developments.
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Affiliation(s)
| | | | - Xidi Sun
- Collaborative Innovation Center of Advanced Microstructures, School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China
| | - Lijia Pan
- Collaborative Innovation Center of Advanced Microstructures, School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China
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36
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Li T, Wang Q, Su Y, Qiao F, Pei Q, Li X, Tan Y, Zhou Z. AI-Assisted Disease Monitoring Using Stretchable Polymer-Based Sensors. ACS APPLIED MATERIALS & INTERFACES 2023. [PMID: 37319270 DOI: 10.1021/acsami.3c01970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Flexible sensors have attracted significant attention for medical applications. Herein, an AI-assisted stretchable polymer-based (AISP) sensor has been developed based on the Beer-Lambert law for disease monitoring and telenursing. Benefiting from the use of superior polymer materials, the AISP sensor features a high tensile strain of up to 100%, durability of >10,000 tests, excellent waterproofness, and no effect of temperature (1.6-60.9 °C). Such advantages support the capability that the AISP can be flexibly pasted on the skin surface as a wearable device for real-time monitoring of multiple physiological parameters. An AISP sensor-based swallowing recognition technique has been proposed with a high accuracy of up to 88.89%. Likewise, it has been expanded to a remote nursing assistance system to meet critical patients' physiological requirements and daily care. The hands-free communication experiment and robot control applications have also been successfully conducted based on the constructed system. Such merits demonstrate its potential as a medical toolkit and indicate promise for intelligent healthcare.
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Affiliation(s)
- Tianliang Li
- School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China
| | - Qian'ao Wang
- School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China
| | - Yifei Su
- School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China
| | - Feng Qiao
- School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China
| | - Qingfeng Pei
- School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China
| | - Xiong Li
- Tencent Robotics X Lab, Tencent Technology (Shenzhen) Company Ltd., Shenzhen 518064, China
| | - Yuegang Tan
- School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China
| | - Zude Zhou
- School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China
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Abstract
Development and implementation of neuroprosthetic hands is a multidisciplinary field at the interface between humans and artificial robotic systems, which aims at replacing the sensorimotor function of the upper-limb amputees as their own. Although prosthetic hand devices with myoelectric control can be dated back to more than 70 years ago, their applications with anthropomorphic robotic mechanisms and sensory feedback functions are still at a relatively preliminary and laboratory stage. Nevertheless, a recent series of proof-of-concept studies suggest that soft robotics technology may be promising and useful in alleviating the design complexity of the dexterous mechanism and integration difficulty of multifunctional artificial skins, in particular, in the context of personalized applications. Here, we review the evolution of neuroprosthetic hands with the emerging and cutting-edge soft robotics, covering the soft and anthropomorphic prosthetic hand design and relating bidirectional neural interactions with myoelectric control and sensory feedback. We further discuss future opportunities on revolutionized mechanisms, high-performance soft sensors, and compliant neural-interaction interfaces for the next generation of neuroprosthetic hands.
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Affiliation(s)
- Guoying Gu
- Robotics Institute, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
- Meta Robotics Institute, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Ningbin Zhang
- Robotics Institute, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Chen Chen
- Robotics Institute, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Haipeng Xu
- Robotics Institute, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xiangyang Zhu
- Robotics Institute, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
- Meta Robotics Institute, Shanghai Jiao Tong University, Shanghai 200240, China
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38
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Wang Q, Cui J, Tang Y, Pang L, Chen K, Zhang B. Research on a Precision Calibration Model of a Flexible Strain Sensor Based on a Variable Section Cantilever Beam. SENSORS (BASEL, SWITZERLAND) 2023; 23:4778. [PMID: 37430692 DOI: 10.3390/s23104778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 05/12/2023] [Accepted: 05/12/2023] [Indexed: 07/12/2023]
Abstract
The flexible strain sensor's measuring range is usually over 5000 με, while the conventional variable section cantilever calibration model has a measuring range within 1000 με. In order to satisfy the calibration requirements of flexible strain sensors, a new measurement model was proposed to solve the inaccurate calculation problem of the theoretical strain value when the linear model of a variable section cantilever beam was applied to a large range. The nonlinear relationship between deflection and strain was established. The finite element analysis of a variable section cantilever beam with ANSYS shows that the linear model's relative deviation is as high as 6% at 5000 με, while the relative deviation of the nonlinear model is only 0.2%. The relative expansion uncertainty of the flexible resistance strain sensor is 0.365% (k = 2). Simulation and experimental results show that this method solves the imprecision of the theoretical model effectively and realizes the accurate calibration of a large range of strain sensors. The research results enrich the measurement models and calibration models for flexible strain sensors and contribute to the development of strain metering.
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Affiliation(s)
- Qi Wang
- School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China
- National Institute of Metrology, Beijing 100029, China
| | - Jianjun Cui
- National Institute of Metrology, Beijing 100029, China
| | - Yanhong Tang
- Metrology and Testing Institute of Tibet Autonomous Region, Lhasa 850000, China
| | - Liang Pang
- Metrology and Testing Institute of Tibet Autonomous Region, Lhasa 850000, China
| | - Kai Chen
- National Institute of Metrology, Beijing 100029, China
| | - Baowu Zhang
- College of Metrology and Measurement Engineering, China Jiliang University, Hangzhou 310018, China
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39
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Jin K, Li Z, Nan P, Xin G, Lim KS, Ahmad H, Yang H. Three-dimensional force-tactile sensors based on embedded fiber Bragg gratings in anisotropic materials. OPTICS LETTERS 2023; 48:2269-2272. [PMID: 37126251 DOI: 10.1364/ol.486484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Three-dimensional force-tactile sensors have attracted much attention for their great potential in the applications of human-computer interaction and bionic intelligent robotics. Herein, a flexible haptic sensor based on dual fiber Bragg gratings (FBGs) embedded in a bionic anisotropic material is proposed for the detection of 3D forces. To achieve the discrimination of normal and tangential force angles and magnitudes, FBGs were orthogonally embedded in a flexible silicone cylinder for force determination. Fe3O4 nanoparticles were used as a modifying agent to induce anisotropic elasticity of the silicone structure to improve the angle detection resolution. The results show that the flexible tactile sensor can detect the angle and magnitude of the 3D force.
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40
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Geng Y, Lagerwall JPF. Multiresponsive Cylindrically Symmetric Cholesteric Liquid Crystal Elastomer Fibers Templated by Tubular Confinement. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023:e2301414. [PMID: 37186075 DOI: 10.1002/advs.202301414] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 04/02/2023] [Indexed: 05/17/2023]
Abstract
Cylindrically symmetric cholesteric liquid crystal elastomer (CLCE) fibers templated by tubular confinement are reported, displaying mechanochromic, thermochromic, and thermomechanical responses. The synthesis inside a sacrificial tube secures radial orientation of the cholesteric helix, and the ground state retroreflection wavelength is easily tuned throughout the visible spectrum or into the near-infrared by varying the concentration of a chiral dopant. The fibers display continuous, repeatable, and quantitatively predictable mechanochromic response, reaching a blue shift of more than -220 nm for 180% elongation. The cylindrical symmetry renders the response identical in all directions perpendicular to the fiber axis, making them exceptionally useful for monitoring complex strains, as demonstrated in revealing local strain during tying of different knots. The CLCE reflection color can be revealed with high contrast against any background by taking advantage of the circularly polarized reflection. Upon heating, the fibers respond-fully reversibly-with red shift and radial expansion/axial contraction. However, there is no transition to an isotropic state, confirming a largely forgotten theoretical prediction by de Gennes. These fibers and the easy way of making them may open new windows for large-scale application in advanced wearable technology and beyond.
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Affiliation(s)
- Yong Geng
- Experimental Soft Matter Physics group, Department of Physics and Materials Science, University of Luxembourg, L-1511, Luxembourg, Luxembourg
| | - Jan P F Lagerwall
- Experimental Soft Matter Physics group, Department of Physics and Materials Science, University of Luxembourg, L-1511, Luxembourg, Luxembourg
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41
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Wu D, Zhang Y, Yang H, Wei A, Zhang Y, Mensah A, Yin R, Lv P, Feng Q, Wei Q. Scalable functionalized liquid crystal elastomer fiber soft actuators with multi-stimulus responses and photoelectric conversion. MATERIALS HORIZONS 2023. [PMID: 37092244 DOI: 10.1039/d3mh00336a] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Liquid crystal elastomer (LCE) fibers exhibit large deformation and reversibility, making them an ideal candidate for soft actuators. It is still challenging to develop a scalable strategy and endow fiber actuators with photoelectric functions to achieve tailorable photo-electro-thermal responsiveness and rapid large actuation deformation. Herein, we fabricated a multiresponsive actuator that consists of LCE long fibers obtained by continuous dry spinning and further coated it with polydopamine (PDA)-modified MXene ink. The designed PDA@MXene-integrated LCE fiber is used for shape-deformable and multi-trigger actuators that can be photo- and electro-thermally actuated. The proposed LCE fiber actuator combines an excellent photothermal and long-term electrically conductive PDA@MXene and a shape-morphing LCE fiber, enabling their robust mechanical flexibility, multiple fast responses (∼0.4 s), and stable and large actuation deformation (∼60%). As a proof-of-concept, we present near-infrared light-driven artificial muscle that can lift 1000 times the weight and an intelligent circuit switch with stable controllability and fast responsiveness (∼0.1 s). Importantly, an adaptive smart window system that integrates light-driven energy harvesting/conversion functions is ingeniously constructed by the integration of a propellable curtain woven by the designed fiber and solar cells. This work can provide insights into the development of advanced intelligent materials toward soft robotics, sustainable energy savings and beyond.
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Affiliation(s)
- Dingsheng Wu
- Key Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, P. R. China.
- Key Laboratory of Textile Fabrics, College of Textiles and Clothing, Anhui Polytechnic University, Wuhu 241000, P. R. China.
| | - Yanan Zhang
- Key Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, P. R. China.
| | - Hanrui Yang
- Key Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, P. R. China.
| | - Anfang Wei
- Key Laboratory of Textile Fabrics, College of Textiles and Clothing, Anhui Polytechnic University, Wuhu 241000, P. R. China.
| | - Yuxin Zhang
- Key Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, P. R. China.
| | - Alfred Mensah
- Key Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, P. R. China.
| | - Rui Yin
- Key Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, P. R. China.
| | - Pengfei Lv
- Key Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, P. R. China.
- Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education), Nankai University, Tianjin 300071, P. R. China
- State Key Laboratory of Biobased Material and Green Papermaking, Qilu University of Technology, Shandong Academy of Sciences, Jinan 250353, P. R. China
| | - Quan Feng
- Key Laboratory of Textile Fabrics, College of Textiles and Clothing, Anhui Polytechnic University, Wuhu 241000, P. R. China.
| | - Qufu Wei
- Key Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, P. R. China.
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Luo Y, Abidian MR, Ahn JH, Akinwande D, Andrews AM, Antonietti M, Bao Z, Berggren M, Berkey CA, Bettinger CJ, Chen J, Chen P, Cheng W, Cheng X, Choi SJ, Chortos A, Dagdeviren C, Dauskardt RH, Di CA, Dickey MD, Duan X, Facchetti A, Fan Z, Fang Y, Feng J, Feng X, Gao H, Gao W, Gong X, Guo CF, Guo X, Hartel MC, He Z, Ho JS, Hu Y, Huang Q, Huang Y, Huo F, Hussain MM, Javey A, Jeong U, Jiang C, Jiang X, Kang J, Karnaushenko D, Khademhosseini A, Kim DH, Kim ID, Kireev D, Kong L, Lee C, Lee NE, Lee PS, Lee TW, Li F, Li J, Liang C, Lim CT, Lin Y, Lipomi DJ, Liu J, Liu K, Liu N, Liu R, Liu Y, Liu Y, Liu Z, Liu Z, Loh XJ, Lu N, Lv Z, Magdassi S, Malliaras GG, Matsuhisa N, Nathan A, Niu S, Pan J, Pang C, Pei Q, Peng H, Qi D, Ren H, Rogers JA, Rowe A, Schmidt OG, Sekitani T, Seo DG, Shen G, Sheng X, Shi Q, Someya T, Song Y, Stavrinidou E, Su M, Sun X, Takei K, Tao XM, Tee BCK, Thean AVY, Trung TQ, Wan C, Wang H, Wang J, Wang M, Wang S, Wang T, Wang ZL, Weiss PS, Wen H, Xu S, Xu T, Yan H, Yan X, Yang H, Yang L, Yang S, Yin L, Yu C, Yu G, Yu J, Yu SH, Yu X, Zamburg E, Zhang H, Zhang X, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhao S, Zhao X, Zheng Y, Zheng YQ, Zheng Z, Zhou T, Zhu B, Zhu M, Zhu R, Zhu Y, Zhu Y, Zou G, Chen X. Technology Roadmap for Flexible Sensors. ACS NANO 2023; 17:5211-5295. [PMID: 36892156 DOI: 10.1021/acsnano.2c12606] [Citation(s) in RCA: 153] [Impact Index Per Article: 153.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative efforts, scientific breakthroughs can be made sooner and capitalized for the betterment of humanity.
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Affiliation(s)
- Yifei Luo
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Innovative Centre for Flexible Devices (iFLEX), School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Mohammad Reza Abidian
- Department of Biomedical Engineering, University of Houston, Houston, Texas 77024, United States
| | - Jong-Hyun Ahn
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Deji Akinwande
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States
| | - Anne M Andrews
- Department of Chemistry and Biochemistry, California NanoSystems Institute, and Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, and Hatos Center for Neuropharmacology, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Markus Antonietti
- Colloid Chemistry Department, Max Planck Institute of Colloids and Interfaces, 14476 Potsdam, Germany
| | - Zhenan Bao
- Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States
| | - Magnus Berggren
- Laboratory of Organic Electronics, Department of Science and Technology, Campus Norrköping, Linköping University, 83 Linköping, Sweden
- Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC), SE-100 44 Stockholm, Sweden
| | - Christopher A Berkey
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94301, United States
| | - Christopher John Bettinger
- Department of Biomedical Engineering and Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Peng Chen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
| | - Wenlong Cheng
- Nanobionics Group, Department of Chemical and Biological Engineering, Monash University, Clayton, Australia, 3800
- Monash Institute of Medical Engineering, Monash University, Clayton, Australia3800
| | - Xu Cheng
- Applied Mechanics Laboratory, Department of Engineering Mechanics, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, PR China
| | - Seon-Jin Choi
- Division of Materials of Science and Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea
| | - Alex Chortos
- School of Mechanical Engineering, Purdue University, West Lafayette, Indiana 47906, United States
| | - Canan Dagdeviren
- Media Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Reinhold H Dauskardt
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94301, United States
| | - Chong-An Di
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Organic Solids, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Michael D Dickey
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Xiangfeng Duan
- Department of Chemistry and Biochemistry, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Antonio Facchetti
- Department of Chemistry and the Materials Research Center, Northwestern University, Evanston, Illinois 60208, United States
| | - Zhiyong Fan
- Department of Electronic and Computer Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
| | - Yin Fang
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
| | - Jianyou Feng
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, PR China
| | - Xue Feng
- Laboratory of Flexible Electronics Technology, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
| | - Huajian Gao
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, California, 91125, United States
| | - Xiwen Gong
- Department of Chemical Engineering, Department of Materials Science and Engineering, Department of Electrical Engineering and Computer Science, Applied Physics Program, and Macromolecular Science and Engineering Program, University of Michigan, Ann Arbor, Michigan, 48109 United States
| | - Chuan Fei Guo
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xiaojun Guo
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Martin C Hartel
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Zihan He
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Organic Solids, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - John S Ho
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- The N.1 Institute for Health, National University of Singapore, Singapore 117456, Singapore
| | - Youfan Hu
- School of Electronics and Center for Carbon-Based Electronics, Peking University, Beijing 100871, China
| | - Qiyao Huang
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - Yu Huang
- Department of Materials Science and Engineering, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Fengwei Huo
- Key Laboratory of Flexible Electronics (KLOFE) and Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, PR China
| | - Muhammad M Hussain
- mmh Labs, Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana 47906, United States
| | - Ali Javey
- Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, United States
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | - Unyong Jeong
- Department of Materials Science and Engineering, Pohang University of Science and Engineering (POSTECH), Pohang, Gyeong-buk 37673, Korea
| | - Chen Jiang
- Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
| | - Xingyu Jiang
- Department of Biomedical Engineering, Southern University of Science and Technology, No 1088, Xueyuan Road, Xili, Nanshan District, Shenzhen, Guangdong 518055, PR China
| | - Jiheong Kang
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Daniil Karnaushenko
- Research Center for Materials, Architectures and Integration of Nanomembranes (MAIN), Chemnitz University of Technology, Chemnitz 09126, Germany
| | | | - Dae-Hyeong Kim
- Center for Nanoparticle Research, Institute for Basic Science (IBS), School of Chemical and Biological Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Il-Doo Kim
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
| | - Dmitry Kireev
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States
| | - Lingxuan Kong
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
| | - Chengkuo Lee
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
- NUS Graduate School-Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore 119077, Singapore
| | - Nae-Eung Lee
- School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, Kyunggi-do 16419, Republic of Korea
| | - Pooi See Lee
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Singapore-HUJ Alliance for Research and Enterprise (SHARE), Campus for Research Excellence and Technological Enterprise (CREATE), Singapore 138602, Singapore
| | - Tae-Woo Lee
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
- School of Chemical and Biological Engineering, Seoul National University, Seoul 08826, Republic of Korea
- Institute of Engineering Research, Research Institute of Advanced Materials, Seoul National University, Soft Foundry, Seoul 08826, Republic of Korea
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Fengyu Li
- College of Chemistry and Materials Science, Jinan University, Guangzhou, Guangdong 510632, China
| | - Jinxing Li
- Department of Biomedical Engineering, Department of Electrical and Computer Engineering, Neuroscience Program, BioMolecular Science Program, and Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan 48823, United States
| | - Cuiyuan Liang
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China
| | - Chwee Teck Lim
- Department of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore
- Mechanobiology Institute, National University of Singapore, Singapore 117411, Singapore
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 119276, Singapore
| | - Yuanjing Lin
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China
| | - Darren J Lipomi
- Department of Nano and Chemical Engineering, University of California, San Diego, La Jolla, California 92093-0448, United States
| | - Jia Liu
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, 02134, United States
| | - Kai Liu
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Nan Liu
- Beijing Key Laboratory of Energy Conversion and Storage Materials, College of Chemistry, Beijing Normal University, Beijing 100875, PR China
| | - Ren Liu
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, 02134, United States
| | - Yuxin Liu
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Department of Biomedical Engineering, N.1 Institute for Health, Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore 119077, Singapore
| | - Yuxuan Liu
- Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Zhiyuan Liu
- Neural Engineering Centre, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China 518055
| | - Zhuangjian Liu
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore
| | - Xian Jun Loh
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
| | - Nanshu Lu
- Department of Aerospace Engineering and Engineering Mechanics, Department of Electrical and Computer Engineering, Department of Mechanical Engineering, Department of Biomedical Engineering, Texas Materials Institute, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Zhisheng Lv
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
| | - Shlomo Magdassi
- Institute of Chemistry and the Center for Nanoscience and Nanotechnology, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel
| | - George G Malliaras
- Electrical Engineering Division, Department of Engineering, University of Cambridge CB3 0FA, Cambridge United Kingdom
| | - Naoji Matsuhisa
- Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
| | - Arokia Nathan
- Darwin College, University of Cambridge, Cambridge CB3 9EU, United Kingdom
| | - Simiao Niu
- Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey 08854, United States
| | - Jieming Pan
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Changhyun Pang
- School of Chemical Engineering and Samsung Advanced Institute for Health Science and Technology, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Qibing Pei
- Department of Materials Science and Engineering, Department of Mechanical and Aerospace Engineering, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Huisheng Peng
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, PR China
| | - Dianpeng Qi
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China
| | - Huaying Ren
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, California, 90095, United States
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60208, United States
- Department of Materials Science and Engineering, Department of Mechanical Engineering, Department of Biomedical Engineering, Departments of Electrical and Computer Engineering and Chemistry, and Department of Neurological Surgery, Northwestern University, Evanston, Illinois 60208, United States
| | - Aaron Rowe
- Becton, Dickinson and Company, 1268 N. Lakeview Avenue, Anaheim, California 92807, United States
- Ready, Set, Food! 15821 Ventura Blvd #450, Encino, California 91436, United States
| | - Oliver G Schmidt
- Research Center for Materials, Architectures and Integration of Nanomembranes (MAIN), Chemnitz University of Technology, Chemnitz 09126, Germany
- Material Systems for Nanoelectronics, Chemnitz University of Technology, Chemnitz 09107, Germany
- Nanophysics, Faculty of Physics, TU Dresden, Dresden 01062, Germany
| | - Tsuyoshi Sekitani
- The Institute of Scientific and Industrial Research (SANKEN), Osaka University, Osaka, Japan 5670047
| | - Dae-Gyo Seo
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Guozhen Shen
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
| | - Xing Sheng
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, and IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084, China
| | - Qiongfeng Shi
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
| | - Takao Someya
- Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
| | - Yanlin Song
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences, Beijing, Beijing 100190, China
| | - Eleni Stavrinidou
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-601 74 Norrkoping, Sweden
| | - Meng Su
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences, Beijing, Beijing 100190, China
| | - Xuemei Sun
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, PR China
| | - Kuniharu Takei
- Department of Physics and Electronics, Osaka Metropolitan University, Sakai, Osaka 599-8531, Japan
| | - Xiao-Ming Tao
- Research Institute for Intelligent Wearable Systems, School of Fashion and Textiles, Hong Kong Polytechnic University, Hong Kong, China
| | - Benjamin C K Tee
- Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore
- iHealthtech, National University of Singapore, Singapore 119276, Singapore
| | - Aaron Voon-Yew Thean
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Tran Quang Trung
- School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, Kyunggi-do 16419, Republic of Korea
| | - Changjin Wan
- School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China
| | - Huiliang Wang
- Department of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
| | - Joseph Wang
- Department of Nanoengineering, University of California, San Diego, California 92093, United States
| | - Ming Wang
- Frontier Institute of Chip and System, State Key Laboratory of Integrated Chip and Systems, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433, China
- the Shanghai Qi Zhi Institute, 41th Floor, AI Tower, No.701 Yunjin Road, Xuhui District, Shanghai 200232, China
| | - Sihong Wang
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois, 60637, United States
| | - Ting Wang
- State Key Laboratory of Organic Electronics and Information Displays and Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Zhong Lin Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China
- Georgia Institute of Technology, Atlanta, Georgia 30332-0245, United States
| | - Paul S Weiss
- California NanoSystems Institute, Department of Chemistry and Biochemistry, Department of Bioengineering, and Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Hanqi Wen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
- Institute of Flexible Electronics Technology of THU, Jiaxing, Zhejiang, China 314000
| | - Sheng Xu
- Department of Nanoengineering, Department of Electrical and Computer Engineering, Materials Science and Engineering Program, and Department of Bioengineering, University of California San Diego, La Jolla, California, 92093, United States
| | - Tailin Xu
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, 518060, PR China
| | - Hongping Yan
- Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States
| | - Xuzhou Yan
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Hui Yang
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science, Tianjin University, Tianjin, China, 300072
| | - Le Yang
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Department of Materials Science and Engineering, National University of Singapore (NUS), 9 Engineering Drive 1, #03-09 EA, Singapore 117575, Singapore
| | - Shuaijian Yang
- School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Leeds, LS2 9JT, United Kingdom
| | - Lan Yin
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, and Center for Flexible Electronics Technology, Tsinghua University, Beijing, 100084, China
| | - Cunjiang Yu
- Department of Engineering Science and Mechanics, Department of Biomedical Engineering, Department of Material Science and Engineering, Materials Research Institute, Pennsylvania State University, University Park, Pennsylvania, 16802, United States
| | - Guihua Yu
- Materials Science and Engineering Program and Walker Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, 78712, United States
| | - Jing Yu
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Shu-Hong Yu
- Department of Chemistry, Institute of Biomimetic Materials and Chemistry, Hefei National Research Center for Physical Science at the Microscale, University of Science and Technology of China, Hefei 230026, China
| | - Xinge Yu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China
| | - Evgeny Zamburg
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Haixia Zhang
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication; Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing 100871, China
| | - Xiangyu Zhang
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Xiaosheng Zhang
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Xueji Zhang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong 518060, PR China
| | - Yihui Zhang
- Applied Mechanics Laboratory, Department of Engineering Mechanics; Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, PR China
| | - Yu Zhang
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Siyuan Zhao
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, 02134, United States
| | - Xuanhe Zhao
- Department of Mechanical Engineering, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, United States
| | - Yuanjin Zheng
- Center for Integrated Circuits and Systems, School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore
| | - Yu-Qing Zheng
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication; School of Integrated Circuits, Peking University, Beijing 100871, China
| | - Zijian Zheng
- Department of Applied Biology and Chemical Technology, Faculty of Science, Research Institute for Intelligent Wearable Systems, Research Institute for Smart Energy, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - Tao Zhou
- Center for Neural Engineering, Department of Engineering Science and Mechanics, The Huck Institutes of the Life Sciences, Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Bowen Zhu
- Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou 310024, China
| | - Ming Zhu
- Institute for Digital Molecular Analytics and Science (IDMxS), Nanyang Technological University, 59 Nanyang Drive, Singapore 636921, Singapore
| | - Rong Zhu
- Department of Precision Instrument, Tsinghua University, Beijing 100084, China
| | - Yangzhi Zhu
- Terasaki Institute for Biomedical Innovation, Los Angeles, California, 90064, United States
| | - Yong Zhu
- Department of Mechanical and Aerospace Engineering, Department of Materials Science and Engineering, and Department of Biomedical Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Guijin Zou
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore
| | - Xiaodong Chen
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Innovative Center for Flexible Devices (iFLEX), Max Planck-NTU Joint Laboratory for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
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Li X, Wang N, Wang F, Liu J, Shi Y, Jiang J, Liu H, Li M, Zhang L, Zhang W, Zhao Y, Zhang L, Huang C. A parylene-mediated plasmonic-photonic hybrid fiber-optic sensor and its instrumentation for miniaturized and self-referenced biosensing. Analyst 2023; 148:1672-1681. [PMID: 36939193 DOI: 10.1039/d3an00028a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
With the development of advanced nanofabrication techniques over the past decades, different nanostructure-based plasmonic fiber-optic sensors have been developed and have presented a low limit of detection for various biomolecules. However, owing to both the dependence on complex equipment and the trade-off between the fabrication cost and sensing performance, nanostructured plasmonic fiber-optic sensors are rarely used outside laboratories. To facilitate wider application of the plasmonic fiber-optic sensors, a parylene-mediated hybrid plasmonic-photonic cavity-based sensor was developed. Compared with a similar plasmonic sensor which only works in the plasmonic mode, the proposed hybrid sensor shows a higher reproducibility (CV < 2.5%) due to its resistance to fabrication variations. Meanwhile, a self-referenced detection mechanism and a novel miniaturized system were developed to adapt to the hybrid resonance sensor. The entire system only has a weight of 263 g, and a size of 12 cm × 10 cm × 8 cm, and is especially suitable for outdoor applications in a handheld manner. In experiments, a high refractive index sensitivity of 3.148 RIU-1 and real-time biomolecule monitoring at nanomolar concentrations were achieved by the proposed system, further confirming the potential of the miniaturized system as a candidate for point-of-care health diagnostics outside laboratories.
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Affiliation(s)
- Xin Li
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029, China. .,University of Chinese Academy of Sciences, Beijing, 100049, China.,School of Future Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Nanxi Wang
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029, China. .,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Fei Wang
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029, China. .,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jinlong Liu
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029, China. .,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yimin Shi
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029, China. .,University of Chinese Academy of Sciences, Beijing, 100049, China.,School of Future Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jiahong Jiang
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029, China.
| | - Hongyao Liu
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029, China.
| | - Mingxiao Li
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029, China.
| | - Lina Zhang
- Department of Cellular and Molecular Biology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Wenchang Zhang
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029, China.
| | - Yang Zhao
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029, China.
| | - Lingqian Zhang
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029, China.
| | - Chengjun Huang
- Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029, China. .,University of Chinese Academy of Sciences, Beijing, 100049, China.,School of Future Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
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44
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Shi Q, Sun Z, Le X, Xie J, Lee C. Soft Robotic Perception System with Ultrasonic Auto-Positioning and Multimodal Sensory Intelligence. ACS NANO 2023; 17:4985-4998. [PMID: 36867760 DOI: 10.1021/acsnano.2c12592] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Flexible electronics such as tactile cognitive sensors have been broadly adopted in soft robotic manipulators to enable human-skin-mimetic perception. To achieve appropriate positioning for randomly distributed objects, an integrated guiding system is inevitable. Yet the conventional guiding system based on cameras or optical sensors exhibits limited environment adaptability, high data complexity, and low cost effectiveness. Herein, a soft robotic perception system with remote object positioning and a multimodal cognition capability is developed by integrating an ultrasonic sensor with flexible triboelectric sensors. The ultrasonic sensor is able to detect the object shape and distance by reflected ultrasound. Thereby the robotic manipulator can be positioned to an appropriate position to perform object grasping, during which the ultrasonic and triboelectric sensors can capture multimodal sensory information such as object top profile, size, shape, hardness, material, etc. These multimodal data are then fused for deep-learning analytics, leading to a highly enhanced accuracy in object identification (∼100%). The proposed perception system presents a facile, low-cost, and effective methodology to integrate positioning capability with multimodal cognitive intelligence in soft robotics, significantly expanding the functionalities and adaptabilities of current soft robotic systems in industrial, commercial, and consumer applications.
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Affiliation(s)
- Qiongfeng Shi
- Joint International Research Laboratory of Information Display and Visualization, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, China
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
| | - Zhongda Sun
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
| | - Xianhao Le
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
| | - Jin Xie
- State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
| | - Chengkuo Lee
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
- NUS Graduate School - Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore 119077, Singapore
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45
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Jia B, Zhang M. Three-Dimensional Displacement Measurement of Micro-Milling Tool Based on Fiber Array Encoding. MICROMACHINES 2023; 14:631. [PMID: 36985038 PMCID: PMC10051266 DOI: 10.3390/mi14030631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/08/2023] [Accepted: 03/08/2023] [Indexed: 06/18/2023]
Abstract
The vibration of the micro-milling tool presents a significant chaotic vibration phenomenon, which has a great influence on the tool life and part machining precision, and is one of the basic problems restricting the improvement of machining efficiency and machining accuracy in micro-milling. To overcome the difficulty of the traditional vibration measurement method with the online measurement of micro-milling tool multi-dimensional vibration, a three-dimensional (3D) measurement method of the micro-milling tool is proposed based on multi-fiber array coding, which converts the tool space motion into a decoding process of the optical coding array employing the tool modulating the multi-fiber array encoding. A 6 × 6 optical fiber array was designed, and a 3D motion platform for micro-milling tools was built to verify the characteristics of the optical fiber measurement system. The measurement results show that the measuring accuracy of the system reached 1 µm, and the maximum linear error in x-, y-, and z-direction are 1.5%, 2.58%, and 2.43%, respectively; the tool space motion position measurement results show that the maximum measurement error of the measuring system was 3.4%. The designed system has unique coding characteristics for the tool position in the space of 100 µm3. It provides a new idea and realization means for the online vibration measurement of micro-milling tools.
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46
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Song Z, Li Y, Hu J. Directional Torsion Sensor Based on a Two-Core Fiber with a Helical Structure. SENSORS (BASEL, SWITZERLAND) 2023; 23:2874. [PMID: 36991585 PMCID: PMC10059029 DOI: 10.3390/s23062874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 02/28/2023] [Accepted: 03/03/2023] [Indexed: 06/19/2023]
Abstract
A fiber-optic torsion sensor based on a helical two-core fiber (HTCF) is proposed and experimentally demonstrated for simultaneously measuring torsion angle and torsion direction. The sensor consists of a segment of HTCF and two single-mode fibers (SMFs) forming a Mach-Zehnder interferometer (MZI). The helical structure is implemented by pre-twisting a 1 cm long two-core fiber (TCF). The performance of the sensor with pre-twisted angles of 180°, 360°, and 540° is experimentally analyzed. The results show that the sensor can realize the angular measurement and effectively distinguish the torsion direction. It is worth noting that the sensor has maximum sensitivity when the pre-twist angle is 180 degrees. The obtained wavelength sensitivities of torsion and temperature are 0.242 nm/(rad/m) and 32 pm/°C, respectively. The sensor has the advantages of easy fabrication, low cost, compact structure, and high sensitivity, which is expected to yield potential applications in fields where both torsion angle and direction measurements are required.
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Affiliation(s)
- Zhuo Song
- Guangxi Key Laboratory of Nuclear Physics and Technology, College of Physics Science and Technology, Guangxi Normal University, Guilin 541004, China
| | - Yichun Li
- Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China
| | - Junhui Hu
- Guangxi Key Laboratory of Nuclear Physics and Technology, College of Physics Science and Technology, Guangxi Normal University, Guilin 541004, China
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47
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Wang C, Hu H, Zhu D, Pan C. Mechanoluminescence-powered bite-controlled human-machine interface. Sci Bull (Beijing) 2023; 68:559-561. [PMID: 36878803 DOI: 10.1016/j.scib.2023.02.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
Affiliation(s)
- Chunfeng Wang
- College of Materials Science and Engineering, Guangdong Research Center for Interfacial Engineering of Functional Materials, Shenzhen University, Shenzhen 518060, China; CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China
| | - Hongjie Hu
- Materials Science and Engineering Program, University of California San Diego, La Jolla, CA 92093, USA
| | - Deliang Zhu
- College of Materials Science and Engineering, Guangdong Research Center for Interfacial Engineering of Functional Materials, Shenzhen University, Shenzhen 518060, China
| | - Caofeng Pan
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China; School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, China.
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48
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Mechanoluminescent optical fiber sensors for human-computer interaction. Sci Bull (Beijing) 2023; 68:542-545. [PMID: 36878804 DOI: 10.1016/j.scib.2023.02.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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49
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Li C, Xu Z, Xu S, Wang T, Zhou S, Sun Z, Wang ZL, Tang W. Miniaturized retractable thin-film sensor for wearable multifunctional respiratory monitoring. NANO RESEARCH 2023; 16:1-9. [PMID: 36785562 PMCID: PMC9907204 DOI: 10.1007/s12274-023-5420-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/18/2022] [Accepted: 12/18/2022] [Indexed: 06/18/2023]
Abstract
As extremely important physiological indicators, respiratory signals can often reflect or predict the depth and urgency of various diseases. However, designing a wearable respiratory monitoring system with convenience, excellent durability, and high precision is still an urgent challenge. Here, we designed an easy-fabricate, lightweight, and badge reel-like retractable self-powered sensor (RSPS) with high precision, sensitivity, and durability for continuous detection of important indicators such as respiratory rate, apnea, and respiratory ventilation. By using three groups of interdigital electrode structures with phase differences, combined with flexible printed circuit boards (FPCBs) processing technology, a miniature rotating thin-film triboelectric nanogenerator (RTF-TENG) was developed. Based on discrete sensing technology, the RSPS has a sensing resolution of 0.13 mm, sensitivity of 7 P·mm-1, and durability more than 1 million stretching cycles, with low hysteresis and excellent anti-environmental interference ability. Additionally, to demonstrate its wearability, real-time, and convenience of respiratory monitoring, a multifunctional wearable respiratory monitoring system (MWRMS) was designed. The MWRMS demonstrated in this study is expected to provide a new and practical strategy and technology for daily human respiratory monitoring and clinical diagnosis. Electronic Supplementary Material Supplementary material (additional figures and movies, including the production process of respiratory monitoring straps, the mechanical analysis of RSPS, RTF-TENG versus vector TENG sensors, the simulation studies of TE-TENG and FT-TENG, the additional characterization of RTF-TENG, the tensile and robustness tests of RSPS, the characterizations of the MWRMS during different sleeping positions, detailed circuit schematic of the MWRMS, the displacements and phase relations of RSPS, MWRMS for multifunctional respiratory monitoring) is available in the online version of this article at 10.1007/s12274-023-5420-1.
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Affiliation(s)
- Chengyu Li
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Zijie Xu
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Shuxing Xu
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China
- Center on Nanoenergy Research, School of Physical Science and Technology, Guangxi University, Nanning, 530004 China
| | - Tingyu Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Siyu Zhou
- Peking University Third Hospital, Beijing, 100191 China
| | - Zhuoran Sun
- Peking University Third Hospital, Beijing, 100191 China
| | - Zhong Lin Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China
- Georgia Institute of Technology, Atlanta, GA 30332 USA
| | - Wei Tang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, 100049 China
- Center on Nanoenergy Research, School of Physical Science and Technology, Guangxi University, Nanning, 530004 China
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50
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Han WC, Lee YJ, Kim SU, Lee HJ, Kim YS, Kim DS. Versatile Mechanochromic Sensor based on Highly Stretchable Chiral Liquid Crystalline Elastomer. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2206299. [PMID: 36464625 DOI: 10.1002/smll.202206299] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Indexed: 06/17/2023]
Abstract
A mechanochromic strain sensor that is capable of distinguishing the orientation, the location, and the degree of deformation based on the highly stretchable membrane of main-chain chiral liquid crystalline elastomer (MCLCE) is proposed. The MCLCE film is designed to exhibit uniform and significant color shift upon the small strain by using step-growth polymerization of liquid crystal (LC) oligomer and its phase-stabilization in solvent mesogen. As conformally placed on the bottom elastomer sheet, the MCLCE film shows multimodal, instantaneous color change for sensing arbitrary in-plane deformation, out-of-plane bending, and nonzero Gaussian deformation. Based on high freedom in the device design, it is also demonstrated that this sensor can display color patterns or encrypted images in response to the localized weight or strain. The simple and straightforward concept proposed here can be applicable in the fields of wearable devices, displays, and soft robotics.
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Affiliation(s)
- Woong Chan Han
- Department of Polymer Engineering, Pukyong National University, 45 Yongso-ro, Nam-gu, Busan, 608737, Republic of Korea
| | - Young-Joo Lee
- Department of Materials Science and Engineering, University of Pennsylvania, 3231 Walnut Street, Philadelphia, PA, 19104, USA
| | - Se-Um Kim
- Department of Electrical and Information Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul, 01811, Republic of Korea
| | - Hye Joo Lee
- Department of Polymer Engineering, Pukyong National University, 45 Yongso-ro, Nam-gu, Busan, 608737, Republic of Korea
| | - Young-Seok Kim
- Display Research Center, Korea Electronics Technology Institute, 25, Saenari-ro, Bundang-gu, Seoungnam-si, Kyounggi-do, 13509, Republic of Korea
| | - Dae Seok Kim
- Department of Polymer Engineering, Pukyong National University, 45 Yongso-ro, Nam-gu, Busan, 608737, Republic of Korea
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