Biomimetic microstructure design for ultrasensitive piezoionic mechanoreceptors in multimodal object recognition

The challenge of achieving high recognition accuracy in artificial mechanoreceptors arises from the trade-off between sensitivity and stability in the sensing unit. Inspired by human skin, we developed a biomimetic approach that involves structural and engineering enhancements for ionic-conducting polyvinyl alcohol/Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> (PVA/MXene) composite hydrogel microneedles (HM) to enhance the sensitivity. By integrating the HM with a polyethylene terephthalate/indium tin oxide (PET/ITO) film, we create a non-faradaic junction that ensures stable electrical output without transmission loss under stimulation. Furthermore, the significant alteration in nanosheet spacing facilitates proton transport along the MXene microchannels, increasing the plasmonic gradient between the junction and the hydrogel's center, thereby boosting piezoionic efficiency. Consequently, the biomimetic sensing unit achieves a high power density of 165.6 mW m<sup>-2</sup> and exceptional sensing stability over 10,000 cycles. When combined with vertical memristor units, this system effectively captures and transforms characteristic signals from various objects, achieving a recognition accuracy of 90%.

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Publication Details

Journal
Nature Communications
Published
2025-08-30
DOI
https://doi.org/10.1038/s41467-025-63115-9
Citations
8
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
5.39

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article

Biomimetic microstructure design for ultrasensitive piezoionic mechanoreceptors in multimodal object recognition

Johnny Chung Yin Ho, Siliang Hu, Chun‐Yuen Wong, Dengji Li et al.
8 citations
Nature Communications
Advanced Sensor and Energy Harvesting Materials
5.39
article

Biomimetic microstructure design for ultrasensitive piezoionic mechanoreceptors in multimodal object recognition

Johnny Chung Yin Ho, Siliang Hu, Chun‐Yuen Wong, Dengji Li, Pengshan Xie, Jia Sun, Guohua Wu, Hao Li, Bowen Li, Jingwen Wang, Mingqi Ding, Nan Wang
article en
8 citations

Abstract

The challenge of achieving high recognition accuracy in artificial mechanoreceptors arises from the trade-off between sensitivity and stability in the sensing unit. Inspired by human skin, we developed a biomimetic approach that involves structural and engineering enhancements for ionic-conducting polyvinyl alcohol/Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> (PVA/MXene) composite hydrogel microneedles (HM) to enhance the sensitivity. By integrating the HM with a polyethylene terephthalate/indium tin oxide (PET/ITO) film, we create a non-faradaic junction that ensures stable electrical output without transmission loss under stimulation. Furthermore, the significant alteration in nanosheet spacing facilitates proton transport along the MXene microchannels, increasing the plasmonic gradient between the junction and the hydrogel's center, thereby boosting piezoionic efficiency. Consequently, the biomimetic sensing unit achieves a high power density of 165.6 mW m<sup>-2</sup> and exceptional sensing stability over 10,000 cycles. When combined with vertical memristor units, this system effectively captures and transforms characteristic signals from various objects, achieving a recognition accuracy of 90%.

Nature CommunicationsVol. 16(1)
Kyushu University (JP), Central South University (CN), City University of Hong Kong (HK), Kyushu University Hospital (JP), City University of Hong Kong, Shenzhen Research Institute (CN), State Key Laboratory of Transducer Technology (CN), Ingenierie des Materiaux polymeres (FR), Shanghai Institute of Microsystem and Information Technology (CN)
City University of Hong Kong, Research Grants Council, University Grants Committee, Innovation and Technology Fund
Openalex Percentile: Top 4%
Advanced Sensor and Energy Harvesting Materials
5.39
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