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Biomimetic microstructure design for ultrasensitive piezoionic mechanoreceptors in multimodal object recognition
Mingqi Ding1, Pengshan Xie1, Jingwen Wang2,3
1Department of Materials Science and Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.
Nature Communications
|August 30, 2025
Summary
Researchers developed biomimetic hydrogel microneedles inspired by human skin. This artificial mechanoreceptor system achieves 90% recognition accuracy for object signals, overcoming sensitivity and stability challenges.
Area of Science:
- Materials Science
- Biomimetics
- Nanotechnology
Background:
- Artificial mechanoreceptors face sensitivity-stability trade-offs.
- Human skin serves as inspiration for advanced tactile sensing.
- Ionic hydrogels offer potential for sensitive and stable sensors.
Purpose of the Study:
- To develop a biomimetic artificial mechanoreceptor with enhanced sensitivity and stability.
- To improve recognition accuracy in tactile sensing systems.
- To explore the piezoionic effect in composite hydrogel microneedles.
Main Methods:
- Fabrication of polyvinyl alcohol/Ti3C2Tx (PVA/MXene) composite hydrogel microneedles (HM).
- Integration of HM with polyethylene terephthalate/indium tin oxide (PET/ITO) film for a non-faradaic junction.
- Characterization of structural and engineering enhancements for improved proton transport and piezoionic efficiency.
Main Results:
- The biomimetic sensing unit achieved a high power density (165.6 mW m−2) and stability over 10,000 cycles.
- Enhanced proton transport in MXene microchannels boosted piezoionic efficiency.
- The system demonstrated 90% recognition accuracy when combined with vertical memristor units.
Conclusions:
- The developed biomimetic hydrogel microneedle system effectively overcomes the sensitivity-stability trade-off in artificial mechanoreceptors.
- The integration of PVA/MXene hydrogels and PET/ITO films enables stable and high-performance tactile sensing.
- This technology holds promise for advanced object recognition and human-machine interface applications.
