Biomimetic tactile sensor for dynamic-static perception based on piezoionic and piezoresistive effects.

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Title: Biomimetic tactile sensor for dynamic-static perception based on piezoionic and piezoresistive effects.
Authors: Liu, Huanyu1 (AUTHOR), Fan, Jiaming1 (AUTHOR), Kuang, Yongqi1 (AUTHOR), Xu, Jing1 (AUTHOR), Liang, Qizhao1 (AUTHOR), Liu, Zhimeng1 (AUTHOR), Zha, Jun-Wei1,2 (AUTHOR) zhajw@ncepu.edu.cn, Wu, Yunhui1 (AUTHOR) wuyh@dgut.edu.cn
Source: Chemical Engineering Journal. Feb2026, Vol. 530, pN.PAG-N.PAG. 1p.
Subjects: Piezoresistive effect, Tactile sensors, Human-computer interaction, Soft robotics, Artificial skin
Abstract: Bimodal pressure sensors, with the ability to resolve dynamic and static stimuli, play a vital role for human-computer interaction and electronic skin. However, traditional pressure sensors often rely on complex, multi-layered architectures to achieve bimodal detection, leading to intricate device designs. Here, inspired by human skin, we address this issue by harnessing, for the first time, the distinctive piezoionic and piezoresistive properties of IL-doped PVA to develop a biomimetic tactile sensor featuring an innovative structure and improved sensing capabilities. Consequently, this dual-mechanism strategy successfully mimics the functionality of fast-adapting and slow-adapting receptors, enabling the simultaneous detection of dynamic and static stimuli. The biomimetic sensor achieves an extraordinary piezoionic peak of 107 mV, and minimal signal drift even after 3000 cycles, outperforming the performance of most state-of-the-art piezoionic sensors. Additionally, the sensor in the piezoresistive mode exhibits a high sensitivity of 0.03 kPa−1 (0–40 kPa), a rapid response time of 11 ms, enabling stable detection of static interactions (e.g., continuous pressing or subtle pressure). This biomimetic sensor highlights its significant potential as a tactile sensor, enabling a robotic manipulator to evaluate the material softness effectively. This work provides an innovative solution for intelligent soft robotics, wearable medical devices, and self-powered sensing systems. • It offers a new strategy for fabricating a bimodal ionic tactile sensor based on piezoionic and piezoresistive effects. • The bimodal sensor excels in responding to dynamic and static stimuli, hitting an impressive piezoionic peak of 107 mv. • Synergistic dynamic-static sensing lets a robotic arm assess material softness, aiding AI and human-machine interaction. [ABSTRACT FROM AUTHOR]
Copyright of Chemical Engineering Journal is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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An: 192194385
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  Label: Title
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  Data: Biomimetic tactile sensor for dynamic-static perception based on piezoionic and piezoresistive effects.
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  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Huanyu%22">Liu, Huanyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fan%2C+Jiaming%22">Fan, Jiaming</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kuang%2C+Yongqi%22">Kuang, Yongqi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Jing%22">Xu, Jing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liang%2C+Qizhao%22">Liang, Qizhao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Zhimeng%22">Liu, Zhimeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zha%2C+Jun-Wei%22">Zha, Jun-Wei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> zhajw@ncepu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wu%2C+Yunhui%22">Wu, Yunhui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wuyh@dgut.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Chemical+Engineering+Journal%22">Chemical Engineering Journal</searchLink>. Feb2026, Vol. 530, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Piezoresistive+effect%22">Piezoresistive effect</searchLink><br /><searchLink fieldCode="DE" term="%22Tactile+sensors%22">Tactile sensors</searchLink><br /><searchLink fieldCode="DE" term="%22Human-computer+interaction%22">Human-computer interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Soft+robotics%22">Soft robotics</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+skin%22">Artificial skin</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Bimodal pressure sensors, with the ability to resolve dynamic and static stimuli, play a vital role for human-computer interaction and electronic skin. However, traditional pressure sensors often rely on complex, multi-layered architectures to achieve bimodal detection, leading to intricate device designs. Here, inspired by human skin, we address this issue by harnessing, for the first time, the distinctive piezoionic and piezoresistive properties of IL-doped PVA to develop a biomimetic tactile sensor featuring an innovative structure and improved sensing capabilities. Consequently, this dual-mechanism strategy successfully mimics the functionality of fast-adapting and slow-adapting receptors, enabling the simultaneous detection of dynamic and static stimuli. The biomimetic sensor achieves an extraordinary piezoionic peak of 107 mV, and minimal signal drift even after 3000 cycles, outperforming the performance of most state-of-the-art piezoionic sensors. Additionally, the sensor in the piezoresistive mode exhibits a high sensitivity of 0.03 kPa−1 (0–40 kPa), a rapid response time of 11 ms, enabling stable detection of static interactions (e.g., continuous pressing or subtle pressure). This biomimetic sensor highlights its significant potential as a tactile sensor, enabling a robotic manipulator to evaluate the material softness effectively. This work provides an innovative solution for intelligent soft robotics, wearable medical devices, and self-powered sensing systems. • It offers a new strategy for fabricating a bimodal ionic tactile sensor based on piezoionic and piezoresistive effects. • The bimodal sensor excels in responding to dynamic and static stimuli, hitting an impressive piezoionic peak of 107 mv. • Synergistic dynamic-static sensing lets a robotic arm assess material softness, aiding AI and human-machine interaction. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Chemical Engineering Journal is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.cej.2026.173578
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Piezoresistive effect
        Type: general
      – SubjectFull: Tactile sensors
        Type: general
      – SubjectFull: Human-computer interaction
        Type: general
      – SubjectFull: Soft robotics
        Type: general
      – SubjectFull: Artificial skin
        Type: general
    Titles:
      – TitleFull: Biomimetic tactile sensor for dynamic-static perception based on piezoionic and piezoresistive effects.
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            NameFull: Liu, Huanyu
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            NameFull: Fan, Jiaming
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            NameFull: Kuang, Yongqi
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            NameFull: Xu, Jing
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            NameFull: Liang, Qizhao
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            NameFull: Liu, Zhimeng
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            NameFull: Zha, Jun-Wei
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            NameFull: Wu, Yunhui
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            – D: 15
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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              Value: 530
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