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Wang Q, Yao Z, Zhang C, Song H, Ding H, Li B, Niu S, Huang X, Chen C, Han Z, Ren L. A Selective-Response Hypersensitive Bio-Inspired Strain Sensor Enabled by Hysteresis Effect and Parallel Through-Slits Structures. NANO-MICRO LETTERS 2023; 16:26. [PMID: 37985532 PMCID: PMC10661685 DOI: 10.1007/s40820-023-01250-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 10/19/2023] [Indexed: 11/22/2023]
Abstract
Flexible strain sensors are promising in sensing minuscule mechanical signals, and thereby widely used in various advanced fields. However, the effective integration of hypersensitivity and highly selective response into one flexible strain sensor remains a huge challenge. Herein, inspired by the hysteresis strategy of the scorpion slit receptor, a bio-inspired flexible strain sensor (BFSS) with parallel through-slit arrays is designed and fabricated. Specifically, BFSS consists of conductive monolayer graphene and viscoelastic styrene-isoprene-styrene block copolymer. Under the synergistic effect of the bio-inspired slit structures and flexible viscoelastic materials, BFSS can achieve both hypersensitivity and highly selective frequency response. Remarkably, the BFSS exhibits a high gage factor of 657.36, and a precise identification of vibration frequencies at a resolution of 0.2 Hz through undergoing different morphological changes to high-frequency vibration and low-frequency vibration. Moreover, the BFSS possesses a wide frequency detection range (103 Hz) and stable durability (1000 cycles). It can sense and recognize vibration signals with different characteristics, including the frequency, amplitude, and waveform. This work, which turns the hysteresis effect into a "treasure," can provide new design ideas for sensors for potential applications including human-computer interaction and health monitoring of mechanical equipment.
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Affiliation(s)
- Qun Wang
- Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, People's Republic of China
| | - Zhongwen Yao
- Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, People's Republic of China
| | - Changchao Zhang
- Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, People's Republic of China
| | - Honglie Song
- Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, People's Republic of China
| | - Hanliang Ding
- Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, People's Republic of China
| | - Bo Li
- Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, People's Republic of China.
- Liaoning Academy of Materials, Liaoning, Shenyang, 110167, People's Republic of China.
| | - Shichao Niu
- Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, People's Republic of China.
- Liaoning Academy of Materials, Liaoning, Shenyang, 110167, People's Republic of China.
| | - Xinguan Huang
- Key Laboratory of CNC Equipment Reliability (Ministry of Education), Jilin University, Changchun, Jilin, 130022, People's Republic of China
| | - Chuanhai Chen
- Key Laboratory of CNC Equipment Reliability (Ministry of Education), Jilin University, Changchun, Jilin, 130022, People's Republic of China
| | - Zhiwu Han
- Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, People's Republic of China.
- Liaoning Academy of Materials, Liaoning, Shenyang, 110167, People's Republic of China.
| | - Luquan Ren
- Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, People's Republic of China
- Liaoning Academy of Materials, Liaoning, Shenyang, 110167, People's Republic of China
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Wang J, Liu L, Yang C, Zhang C, Li B, Meng X, Ma G, Wang D, Zhang J, Niu S, Zhao J, Han Z, Yao Z, Ren L. Ultrasensitive, Highly Stable, and Flexible Strain Sensor Inspired by Nature. ACS APPLIED MATERIALS & INTERFACES 2022; 14:16885-16893. [PMID: 35348316 DOI: 10.1021/acsami.2c01127] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
For advanced flexible strain sensors, it is not difficult to achieve high sensitivity only. However, integrating high sensitivity, high stability, and high durability into one sensor still remains a great challenge. Fortunately, natural creatures with diversified excellent performances have given us a lot of ready-made solutions. Here, scorpion and spiderweb are selected as coupling bionic prototypes, which are famous for their ultrasensitive sensing capacity and excellent structural durability, respectively. Based on that, a bioinspired strain sensor is successfully fabricated. The results demonstrate that the bioinspired strain sensor has a sensitivity of 940.5 in the strain range of 0-1.5% and a sensitivity of 2742.3 between 1.5 and 2.5%. Meantime, this sensor with a spiderweb-like reticular structure has a great improvement in stability and durability. Specifically, the sensor exhibits excellent stability during bending and stretching cycles over 80,000 times. Moreover, the response time and recovery time of the sensor are 169 and 195 ms, respectively. Besides, the sensor also has functions such as vibrating frequency identification due to its low hysteresis. Based on the excellent performance, the sensor can be applied to monitor human body motions serving as wearable electronics.
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Affiliation(s)
- Jingxiang Wang
- College of Biological and Agricultural Engineering, Jilin University, Changchun 130025, China
| | - Linpeng Liu
- The State Key Laboratory of High Performance and Complex Manufacturing, College of Mechanical and Electrical Engineering, Central South University, Changsha 410012, China
| | - Chen Yang
- College of Biological and Agricultural Engineering, Jilin University, Changchun 130025, China
| | - Changchao Zhang
- College of Biological and Agricultural Engineering, Jilin University, Changchun 130025, China
| | - Bo Li
- College of Biological and Agricultural Engineering, Jilin University, Changchun 130025, China
| | - Xiancun Meng
- College of Biological and Agricultural Engineering, Jilin University, Changchun 130025, China
| | - Guoliang Ma
- College of Biological and Agricultural Engineering, Jilin University, Changchun 130025, China
| | - Dakai Wang
- College of Biological and Agricultural Engineering, Jilin University, Changchun 130025, China
| | - Junqiu Zhang
- College of Biological and Agricultural Engineering, Jilin University, Changchun 130025, China
| | - Shichao Niu
- College of Biological and Agricultural Engineering, Jilin University, Changchun 130025, China
| | - Jiale Zhao
- College of Biological and Agricultural Engineering, Jilin University, Changchun 130025, China
| | - Zhiwu Han
- Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
| | - Zhongwen Yao
- Department of Mechanical and Materials Engineering, Queen's University, Kingston K7L3N6, Canada
| | - Luquan Ren
- College of Biological and Agricultural Engineering, Jilin University, Changchun 130025, China
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