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Han C, Cao Z, An Z, Zhang Z, Wang ZL, Wu Z. Multimodal Finger-Shaped Tactile Sensor for Multi-Directional Force and Material Identification. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2025; 37:e2414096. [PMID: 40116499 DOI: 10.1002/adma.202414096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2024] [Revised: 12/11/2024] [Indexed: 03/23/2025]
Abstract
Multimodal tactile perception is crucial for advancing human-computer interaction, but real-time multidimensional force detection and material identification remain challenging. Here, a finger-shaped tactile sensor (FTS) based on the triboelectric effect is proposed, capable of multidirectional force sensing and material identification. The FTS is composed of an external material identification section and an internal force sensing section. Three materials are embedded into the surface of the silicone shell in the fingerpad, forming single-electrode sensors for material identification. In the force sensing section, the silicone shell's outer surface is coated with conductive silver paste as a shielding layer. The inner wall has four silicone microneedle arrays and a silicone bump, while five silver electrodes are coated on the internal polylactic acid skeleton. The components connect via interlocking structures near the fingernail, allowing localized contact and separation between the silicone shell and skeleton, enabling force direction detection through signals from the five electrodes. Additionally, the outer sensors achieve 98.33% accuracy in recognizing 12 materials. Furthermore, integrated into a robotic hand, the FTS enables real-time material identification and force detection in an intelligent sorting environment. This research holds great potential for applications in tactile perception for intelligent robotics.
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Affiliation(s)
- Chengcheng Han
- 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, P. R. China
| | - Zhi Cao
- 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, P. R. China
| | - Ziyao An
- The Experimental School of Shenzhen Institute of Advanced Technology, Shenzhen, 51800, P. R. China
| | - Zhiwei Zhang
- 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, P. R. China
| | - Zhong Lin 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, P. R. China
| | - Zhiyi Wu
- 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, P. R. China
- International Institute for Interdisciplinary and Frontiers, Beihang University, Beijing, 100191, P. R. China
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Jafarizadeh B, Chowdhury AH, Islam Sozal MS, Cheng Z, Pala N, Wang C. Wearable System Integrating Dual Piezoresistive and Photoplethysmography Sensors for Simultaneous Pulse Wave Monitoring. ACS APPLIED MATERIALS & INTERFACES 2024; 16:65402-65413. [PMID: 39531594 DOI: 10.1021/acsami.4c17710] [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: 11/16/2024]
Abstract
Wearable, flexible piezoresistive pressure sensors have garnered substantial interest due to their diverse applications in fields such as electronic skin, robotic limbs, and cardiovascular monitoring. Among these applications, arterial full pulse waveform monitoring stands out as a critical area of research. The emergence of piezoresistive pressure sensors as a prominent tool for capturing pulse waveforms has led to extensive investigations. However, the lack of a linear response while achieving high sensitivity, limited compactness of signal collection systems, and scaling issues are a few potential causes of the gap between research advances and technology market readiness. Here, we present a scalable dual piezoresistive sensor that uses two complementary resistance-changing mechanisms to balance the trade-off between linear response and high sensitivity. This synergic design enables excellent sensitivity of 8.4 kPa-1 and near linear pressure response. It boasts a fast response time of 95/145 ms for loading and unloading at a pressure of 10.1 kPa. The durability tests, encompassing nearly 5000 two-stage compression cycles, validate the reliable performance of the sensor, even after prolonged use. Leveraging these performance metrics, we developed a high-resolution and compact signal collection device capable of accurately detecting the three distinct peaks associated with the full pulse waveform, including the systolic and reflected diastolic peaks. Moreover, the signal acquisition system incorporates a photoplethysmography sensor, which, when paired with the dual piezoresistive sensor, offers new insights into localized vascular health monitoring. The unique feature of our approach is its ability to perform localized vascular monitoring using multiple sensors placed on different veins. The simultaneous detection of forward- and backward-going pulse waves at the body extremities allows for a comprehensive evaluation of localized vascular health, which is not achievable with a single sensor. Finally, the comparison of wrist pulse waveforms between the compact signal collection device and a standard sourcemeter (such as the Keithley 2460) confirmed that the wearable sensing system is on par with conventional sourcemeters in terms of capturing the typical details of the full pulse waveform (i.e., systolic peak, dicrotic notch, and diastolic peak). This validation underscores the reliability and effectiveness of the developed wearable sensing system for practical and continuous pulse waveform monitoring.
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Affiliation(s)
- Borzooye Jafarizadeh
- Department of Mechanical and Materials Engineering, Florida International University, Miami, Florida 33174, United States
| | - Azmal Huda Chowdhury
- Department of Mechanical and Materials Engineering, Florida International University, Miami, Florida 33174, United States
| | - Md Shariful Islam Sozal
- Department of Mechanical and Materials Engineering, Florida International University, Miami, Florida 33174, United States
| | - Zhe Cheng
- Department of Mechanical and Materials Engineering, Florida International University, Miami, Florida 33174, United States
| | - Nezih Pala
- Department of Electrical and Computer Engineering, Florida International University, Miami, Florida 33174, United States
| | - Chunlei Wang
- Department of Mechanical and Materials Engineering, Florida International University, Miami, Florida 33174, United States
- Department of Mechanical and Aerospace Engineering, University of Miami, Coral Gables, Florida 33146, United States
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Xi J, Yang H, Li X, Wei R, Zhang T, Dong L, Yang Z, Yuan Z, Sun J, Hua Q. Recent Advances in Tactile Sensory Systems: Mechanisms, Fabrication, and Applications. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:465. [PMID: 38470794 DOI: 10.3390/nano14050465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 02/07/2024] [Accepted: 02/19/2024] [Indexed: 03/14/2024]
Abstract
Flexible electronics is a cutting-edge field that has paved the way for artificial tactile systems that mimic biological functions of sensing mechanical stimuli. These systems have an immense potential to enhance human-machine interactions (HMIs). However, tactile sensing still faces formidable challenges in delivering precise and nuanced feedback, such as achieving a high sensitivity to emulate human touch, coping with environmental variability, and devising algorithms that can effectively interpret tactile data for meaningful interactions in diverse contexts. In this review, we summarize the recent advances of tactile sensory systems, such as piezoresistive, capacitive, piezoelectric, and triboelectric tactile sensors. We also review the state-of-the-art fabrication techniques for artificial tactile sensors. Next, we focus on the potential applications of HMIs, such as intelligent robotics, wearable devices, prosthetics, and medical healthcare. Finally, we conclude with the challenges and future development trends of tactile sensors.
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Affiliation(s)
- Jianguo Xi
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
| | - Huaiwen Yang
- School of Integrated Circuit Science and Engineering, Beihang University, Beijing 100191, China
| | - Xinyu Li
- School of Integrated Circuit Science and Engineering, Beihang University, Beijing 100191, China
| | - Ruilai Wei
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
- Institute of Flexible Electronics, Beijing Institute of Technology, Beijing 102488, China
| | - Taiping Zhang
- Tianfu Xinglong Lake Laboratory, Chengdu 610299, China
| | - Lin Dong
- Henan Key Laboratory of Diamond Optoelectronic Materials and Devices, Key Laboratory of Materials Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450001, China
| | - Zhenjun Yang
- Hefei Hospital Affiliated to Anhui Medical University (The Second People's Hospital of Hefei), Hefei 230011, China
| | - Zuqing Yuan
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
- Institute of Flexible Electronics, Beijing Institute of Technology, Beijing 102488, China
| | - Junlu Sun
- Henan Key Laboratory of Diamond Optoelectronic Materials and Devices, Key Laboratory of Materials Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450001, China
| | - Qilin Hua
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
- Institute of Flexible Electronics, Beijing Institute of Technology, Beijing 102488, China
- Guangxi Key Laboratory of Brain-Inspired Computing and Intelligent Chips, Guangxi Normal University, Guilin 541004, China
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Su FC, Huang HX. Flexible Switching Pressure Sensors with Fast Response and Less Bending-Sensitive Performance Applied to Pain-Perception-Mimetic Gloves. ACS APPLIED MATERIALS & INTERFACES 2023; 15:56328-56336. [PMID: 37990467 DOI: 10.1021/acsami.3c13930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2023]
Abstract
A strategy is proposed herein for preparing a flexible switching piezoresistive pressure sensor, which has a bridge-like structure and inverted micropyramids (IMPs) on its lower conductive substrate. The sensor substrates were prepared by injection compression molding (an industrial manufacturing process) using thermoplastic polyurethane (TPU; an industrial grade polymer). The designed bridge-like structure enables the sensor to obtain a pressure threshold. The flexibility of upper and lower TPU substrates allows them to contact quickly when pressed, and so the sensor exhibits a fast response (as short as 2 ms) and can respond to both static force and dynamic force (up to 50 Hz frequency), which are prominent for the sensor made from TPU. The sensor exhibits less bending-sensitive performance, which is attributed to the conformality of the upper and lower substrates and lower strain on the lower substrate with the IMP under bending. The sensor can amplify signal response at the monitoring limit (the relative resistance change is up to 46%). It can achieve a higher sensitivity in different low-pressure ranges by changing the gap of the bridge-like structure. Moreover, the sensor can obviously and steadily respond to an additional very low pressure under preloading and exhibits good durability performance. As the sensor has a pressure threshold similar to the human pain perception process, a pain-perception-mimetic glove that can identify the external mechanical stimuli but reduces the interference of finger bending is prepared, displaying potential applications of the flexible switching sensor in intelligent wearable protectors.
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Affiliation(s)
- Feng-Chun Su
- Lab for Micro Molding and Polymer Rheology, The Key Laboratory of Polymer Processing Engineering of Ministry of Education, South China University of Technology, Guangzhou 510640, China
| | - Han-Xiong Huang
- Lab for Micro Molding and Polymer Rheology, The Key Laboratory of Polymer Processing Engineering of Ministry of Education, South China University of Technology, Guangzhou 510640, China
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Wen X, Deng Z, Wang H, Shi J, Wang S, Wang H, Song Y, Du Z, Qiu J, Cheng X. High strength, self-healing sensitive ionogel sensor based on MXene/ionic liquid synergistic conductive network for human-motion detection. J Mater Chem B 2023; 11:11251-11264. [PMID: 37823270 DOI: 10.1039/d3tb01570j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/13/2023]
Abstract
Ionogels with both high strength and high conductivity for wearable strain and pressure dual-mode sensors are needed for human motion and health monitoring. Here, multiple hydrogen bonds are introduced through imidazolidinyl urea (IU) as a chain extender to provide high mechanical and self-healing properties for the water-borne polyurethane (WPU). The MXene/ionic liquids synergistic conductive network provides excellent conductivity and also reduces the relative content of ionic liquids to maintain the mechanical properties of the ionogels. The mechanical strength of this ionogel reached 1.81-2.24 MPa and elongation at break reached 570-624%. It also has excellent conductivity (22.7-37.5 mS m-1), gauge factor (GF) (as a strain sensor, GF = 1.8), sensitivity (S) (as a press sensor, S1 = 29.8 kPa-1, S2 = 1.3 kPa-1), and fast response time (as a strain sensor = 185 ms; as a press sensor = 204 ms). The ionogel also exhibits rapid photothermal self-healing capabilities due to the inherent photothermal behavior of MXene. It can maintain good elasticity and conductivity at low temperatures. In addition, this ionogel is able to stretch for 1200 cycles without significant change in the relative change of resistance. The ionogel can be assembled as a strain sensor for monitoring human motion and as a pressure sensor array for obtaining pressure magnitude and position information.
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Affiliation(s)
- Xiao Wen
- College of Biomass Science and Engineering, Orthopedic Research Institute, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu 610065, China.
| | - Zhipeng Deng
- College of Biomass Science and Engineering, Orthopedic Research Institute, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu 610065, China.
| | - Hui Wang
- West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, PR China
| | - Jianyang Shi
- College of Biomass Science and Engineering, Orthopedic Research Institute, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu 610065, China.
| | - Shuang Wang
- College of Biomass Science and Engineering, Orthopedic Research Institute, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu 610065, China.
| | - Haibo Wang
- College of Biomass Science and Engineering, Orthopedic Research Institute, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu 610065, China.
| | - Yueming Song
- College of Biomass Science and Engineering, Orthopedic Research Institute, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu 610065, China.
| | - Zongliang Du
- College of Biomass Science and Engineering, Orthopedic Research Institute, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu 610065, China.
| | - Jinghong Qiu
- College of Biomass Science and Engineering, Orthopedic Research Institute, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu 610065, China.
| | - Xu Cheng
- College of Biomass Science and Engineering, Orthopedic Research Institute, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu 610065, China.
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Wang W, Liu J, Zhao N, Yang B. Ti 3C 2T x/MXene Composite Aerogel Flexible Biosensor for Measuring Occlusal Force In Situ. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2023; 39:13571-13578. [PMID: 37696114 DOI: 10.1021/acs.langmuir.3c01600] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/13/2023]
Abstract
Occlusal force is an important parameter for evaluating the function of the occlusal system. Traditional occlusal forces can only be measured qualitatively. Here, we report a flexible piezoresistive pressure sensor with high sensitivity and a wide measurement range for in situ occlusal force measurements through the articulating paper. The sensing layer of the flexible piezoresistive sensor is a 3D porous MXene composite aerogel, which is fabricated by vacuum freezing. The MXene piezoresistive sensor is composed of the interdigital electrodes, the sensing layer, the PI encapsulation layer, and an articulating paper encapsulation layer. The sensor shows perfect performance with high sensitivity (210.21 kPa-1), wide measurement range (∼420 kPa), and a fast response time (123 ms response time, 163 ms recovery time). The amplitude of the occlusal force, which varied with time, can be observed on the mobile phone through the wireless system with the Bluetooth module. This technique has broad application prospects in oral health. In this work, we propose a simple method and a new idea for manufacturing high-performance wearable bioelectronic sensors.
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Affiliation(s)
- Wenduo Wang
- National Key Lab of MicroNanofabrication Technology, Shanghai Jiao Tong University, Shanghai 200240, China
- Department of Micro/Nano Electronics, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jingquan Liu
- National Key Lab of MicroNanofabrication Technology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Ning Zhao
- Department of Orthodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
| | - Bin Yang
- National Key Lab of MicroNanofabrication Technology, Shanghai Jiao Tong University, Shanghai 200240, China
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7
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Luo Y, Zhao L, Luo G, Dong L, Xia Y, Li M, Li Z, Wang K, Maeda R, Jiang Z. Highly sensitive piezoresistive and thermally responsive fibrous networks from the in situ growth of PEDOT on MWCNT-decorated electrospun PU fibers for pressure and temperature sensing. MICROSYSTEMS & NANOENGINEERING 2023; 9:113. [PMID: 37719415 PMCID: PMC10504313 DOI: 10.1038/s41378-023-00593-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 08/19/2023] [Accepted: 08/23/2023] [Indexed: 09/19/2023]
Abstract
Flexible electronics have demonstrated various strategies to enhance the sensory ability for tactile perception and wearable physiological monitoring. Fibrous microstructures have attracted much interest because of their excellent mechanical properties and fabricability. Herein, a structurally robust fibrous mat was first fabricated by electrospinning, followed by a sequential process of functionalization utilizing ultrasonication treatment and in situ polymerization growth. Electrospun polyurethane (PU) microfibers were anchored with multi-walled carbon nanotubes (MWCNTs) to form conductive paths along each fiber by a scalable ultrasonic cavitation treatment in an MWCNT suspension. After, a layer of poly(3,4-ethylene dioxythiophene) (PEDOT) was grown on the surface of PU fibers decorated with MWCNTs to enhance the conductive conjunctions of MWCNTs. Due to the superior electromechanical behaviors and mechanical reinforcement of PEDOT, the PEDOT/MWCNT@PU mat-based device exhibits a wide working range (0-70 kPa), high sensitivity (1.6 kPa-1), and good mechanical robustness (over 18,000 cycles). The PEDOT/MWCNT@PU mat-based sensor also demonstrates a good linear response to different temperature variations because of the thermoelectricity of the PEDOT/MWCNT composite. This novel strategy for the fabrication of multifunctional fibrous mats provides a promising opportunity for future applications for high-performance wearable devices.
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Affiliation(s)
- Yunyun Luo
- State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Xi'an Jiaotong University (Yantai) Research Institute for Intelligent Sensing Technology and System, Xi'an Jiaotong University, Xi'an, China
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China
- Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing, Yantai, China
| | - Libo Zhao
- State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Xi'an Jiaotong University (Yantai) Research Institute for Intelligent Sensing Technology and System, Xi'an Jiaotong University, Xi'an, China
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China
- Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing, Yantai, China
| | - Guoxi Luo
- State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Xi'an Jiaotong University (Yantai) Research Institute for Intelligent Sensing Technology and System, Xi'an Jiaotong University, Xi'an, China
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China
- Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing, Yantai, China
| | - Linxi Dong
- Ministry of Education Engineering Research Center of Smart Microsensors and Microsystems, College of Electronics and Information, Hangzhou Dianzi University, Hangzhou, China
| | - Yong Xia
- State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Xi'an Jiaotong University (Yantai) Research Institute for Intelligent Sensing Technology and System, Xi'an Jiaotong University, Xi'an, China
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China
- Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing, Yantai, China
| | - Min Li
- State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Xi'an Jiaotong University (Yantai) Research Institute for Intelligent Sensing Technology and System, Xi'an Jiaotong University, Xi'an, China
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China
- Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing, Yantai, China
| | - Ziping Li
- State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Xi'an Jiaotong University (Yantai) Research Institute for Intelligent Sensing Technology and System, Xi'an Jiaotong University, Xi'an, China
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China
| | - Kaifei Wang
- Department of Emergency, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Ryutaro Maeda
- State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Xi'an Jiaotong University (Yantai) Research Institute for Intelligent Sensing Technology and System, Xi'an Jiaotong University, Xi'an, China
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China
| | - Zhuangde Jiang
- State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Xi'an Jiaotong University (Yantai) Research Institute for Intelligent Sensing Technology and System, Xi'an Jiaotong University, Xi'an, China
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China
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Yang N, Yin X, Liu H, Yan X, Zhou X, Wang F, Zhang X, Zhao Y, Cheng T. Dual-Layer All-Textile Flexible Pressure Sensor Coupled by Silver Nanowires with Ti 3C 2-Mxene for Monitoring Athletic Motion during Sports and Transmitting Information. ACS APPLIED MATERIALS & INTERFACES 2023; 15:42992-43002. [PMID: 37647575 DOI: 10.1021/acsami.3c08874] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
At present, wearable flexible pressure sensors have broad application prospects in fields such as motion monitoring and information transmission. However, it is still a challenge to design flexible pressure sensors with high sensitivity over a large sensing range and simple fabrication. Here, we use a simple "dipping-drying" method to fabricate a fabric-based flexible pressure sensor by coupling silver nanowires (AgNWs) with Ti3C2-MXene. The interaction between MXene and AgNWs helps realize a dual-layer sensing network, achieving good synergistic effects between pressure sensitivity and sensing range. The effects of the material combination and dip-coating sequence on the sensor's performance are systematically studied. The results show that the sensor was impregnated sequentially with AgNWs solution, and the MXene solution has the highest sensitivity (0.168 kPa-1) over a wide range (190 kPa). Meanwhile, it has the advantages of low response hysteresis and detection limit, as well as good linearity and durability. We further demonstrate the application of this sensor in human physiological signal monitoring and motion pattern recognition. It can also encrypt and transmit information according to different pressing states. In addition, the proposed pressure sensor array exhibits spatial resolution detection capabilities, laying the foundation for applications in the fields of motion monitoring and human-computer interaction.
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Affiliation(s)
- Ning Yang
- State Key Laboratory of Synthetical Automation for Process Industries, the College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
| | - Xiangyu Yin
- State Key Laboratory of Synthetical Automation for Process Industries, the College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
| | - Hailian Liu
- State Key Laboratory of Synthetical Automation for Process Industries, the College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
| | - Xin Yan
- State Key Laboratory of Synthetical Automation for Process Industries, the College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
| | - Xue Zhou
- State Key Laboratory of Synthetical Automation for Process Industries, the College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
| | - Fang Wang
- State Key Laboratory of Synthetical Automation for Process Industries, the College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
| | - Xuenan Zhang
- State Key Laboratory of Synthetical Automation for Process Industries, the College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
| | - Yong Zhao
- Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology, Qinhuangdao 066004, China
| | - Tonglei Cheng
- State Key Laboratory of Synthetical Automation for Process Industries, the College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
- Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology, Qinhuangdao 066004, China
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9
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Luo J, Liu F, Yin A, Qi X, Liu J, Ren Z, Zhou S, Wang Y, Ye Y, Ma Q, Zhu J, Li K, Zhang C, Zhao W, Yu S, Wei J. Highly sensitive, wide-pressure and low-frequency characterized pressure sensor based on piezoresistive-piezoelectric coupling effects in porous wood. Carbohydr Polym 2023; 315:120983. [PMID: 37230620 DOI: 10.1016/j.carbpol.2023.120983] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 04/29/2023] [Accepted: 05/02/2023] [Indexed: 05/27/2023]
Abstract
Lightweight and highly compressible materials have received considerable attention in flexible pressure sensing devices. In this study, a series of porous woods (PWs) are produced by chemical removal of lignin and hemicellulose from natural wood by tuning treatment time from 0 to 15 h and extra oxidation through H2O2. The prepared PWs with apparent densities varying from 95.9 to 46.16 mg/cm3 tend to form a wave-shaped interwoven structure with improved compressibility (up to 91.89 % strain under 100 kPa). The sensor assembled from PW with treatment time of 12 h (PW-12) exhibits the optimal piezoresistive-piezoelectric coupling sensing properties. For the piezoresistive properties, it has high stress sensitivity of 15.14 kPa-1, covering a wide linear working pressure range of 0.06-100 kPa. For its piezoelectric potential, PW-12 shows a sensitivity of 0.443 V·kPa-1 with ultralow frequency detection as low as 0.0028 Hz, and good cyclability over 60,000 cycles under 0.41 Hz. The nature-derived all-wood pressure sensor shows obvious superiority in the flexibility for power supply requirement. More importantly, it presents fully decoupled signals without cross-talks in the dual-sensing functionality. Sensor like this is capable of monitoring various dynamic human motions, making it an extremely promising candidate for the next generation artificial intelligence products.
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Affiliation(s)
- Jingjing Luo
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Shenzhen 518055, China
| | - Feihua Liu
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Shenzhen 518055, China.
| | - Ao Yin
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Shenzhen 518055, China
| | - Xue Qi
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Shenzhen 518055, China
| | - Jiang Liu
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Shenzhen 518055, China
| | - Zhongqi Ren
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Shenzhen 518055, China
| | - Shiqiang Zhou
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Shenzhen 518055, China
| | - Yuxin Wang
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Shenzhen 518055, China
| | - Yang Ye
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Shenzhen 518055, China
| | - Qingzhi Ma
- School of Environmental and Nature Resources, Zhejiang University of Science and Technology, Hangzhou, Zhejiang 310023, China
| | - Junjun Zhu
- Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, College of Chemical Engineering, Nanjing Forestry University, Nanjing 210037, Jiangsu, China
| | - Kang Li
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Shenzhen 518055, China
| | - Chen Zhang
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Shenzhen 518055, China
| | - Weiwei Zhao
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Shenzhen 518055, China.
| | - Suzhu Yu
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Shenzhen 518055, China.
| | - Jun Wei
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Shenzhen 518055, China.
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Tian Z, Qin W, Wang Y, Li X, Gu C, Chen J, Yang M, Feng L, Chen J, Qiao H, Yin S. Ultra-stable strain/ humidity dual-functional flexible wearable sensor based on brush-like AgNPs@CNTs@TPU heterogeneous structure. Colloids Surf A Physicochem Eng Asp 2023. [DOI: 10.1016/j.colsurfa.2023.131398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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11
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Guo X, Hong W, Zhao Y, Zhu T, Liu L, Li H, Wang Z, Wang D, Mai Z, Zhang T, Yang J, Zhang F, Xia Y, Hong Q, Xu Y, Yan F, Wang M, Xing G. Bioinspired Dual-Mode Stretchable Strain Sensor Based on Magnetic Nanocomposites for Strain/Magnetic Discrimination. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2205316. [PMID: 36394201 DOI: 10.1002/smll.202205316] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/28/2022] [Indexed: 06/16/2023]
Abstract
Recently, flexible stretchable sensors have been gaining attention for their excellent adaptability for electronic skin applications. However, the preparation of stretchable strain sensors that achieve dual-mode sensing while still retaining ultra-low detection limit of strain, high sensitivity, and low cost is a pressing task. Herein, a high-performance dual-mode stretchable strain sensor (DMSSS) based on biomimetic scorpion foot slit microstructures and multi-walled carbon nanotubes (MWCNTs)/graphene (GR)/silicone rubber (SR)/Fe3 O4 nanocomposites is proposed, which can accurately sense strain and magnetic stimuli. The DMSSS exhibits a large strain detection range (≈160%), sensitivity up to 100.56 (130-160%), an ultra-low detection limit of strain (0.16% strain), and superior durability (9000 cycles of stretch/release). The sensor can accurately recognize sign language movement, as well as realize object proximity information perception and whole process information monitoring. Furthermore, human joint movements and micro-expressions can be monitored in real-time. Therefore, the DMSSS of this work opens up promising prospects for applications in sign language pose recognition, non-contact sensing, human-computer interaction, and electronic skin.
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Affiliation(s)
- Xiaohui Guo
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei, 230601, China
- Anhui Province Key Laboratory of Target Recognition and Feature Extraction, Lu'an, 237010, China
| | - Weiqiang Hong
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei, 230601, China
| | - Yunong Zhao
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei, 230601, China
- School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Tong Zhu
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei, 230601, China
| | - Long Liu
- Key Laboratory of Microelectronic Devices & Integrated Technology, Institute of Microelectronics, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, 100029, China
| | - Hongjin Li
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei, 230601, China
| | - Ziwei Wang
- Key Laboratory of Microelectronic Devices & Integrated Technology, Institute of Microelectronics, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, 100029, China
| | - Dandan Wang
- Hubei JiuFengShan Laboratory, Future Science and Technology City, Wuhan, Hubei, 420000, China
| | - Zhihong Mai
- Hubei JiuFengShan Laboratory, Future Science and Technology City, Wuhan, Hubei, 420000, China
| | - Tianxu Zhang
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei, 230601, China
| | - Jinyang Yang
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei, 230601, China
| | - Fengzhe Zhang
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei, 230601, China
| | - Yun Xia
- Bengbu Zhengyuan Electronics Technology Co., Ltd, Bengbu, 233000, China
| | - Qi Hong
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei, 230601, China
| | - Yaohua Xu
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Integrated Circuits, Anhui University, Hefei, 230601, China
| | - Feng Yan
- Department of Metallurgical and Materials Engineering, The University of Alabama, Tuscaloosa, AL, 35487, USA
| | - Ming Wang
- Frontier Institute of Chip and System, Fudan University, Shanghai, 200433, China
| | - Guozhong Xing
- Key Laboratory of Microelectronic Devices & Integrated Technology, Institute of Microelectronics, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, 100029, China
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