Dual-Conductive and Stiffness-Morphing Microneedle Patch Enables Continuous In Planta Monitoring of Electrophysiological Signal and Ion Fluctuation

Lingxuan Kong, Hanqi Wen, Yifei Luo, Xiaodong Chen, Xing Sheng, Yuxin Liu*, Peng Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

The use of conductive microneedles presents a promising solution for achieving high-fidelity electrophysiological recordings with minimal impact on the interfaced tissue. However, a conventional metal-based microneedle suffers from high electrochemical impedance and mechanical mismatch. In this paper, we report a dual-conductive (i.e., both ionic and electronic conductive) and stiffness-morphing microneedle patch (DSMNP) for high-fidelity electrophysiological recordings with reduced tissue damage. The polymeric network of the DSMNP facilitates electrolyte absorption and therefore allows the transition of stiffness from 6.82 to 0.5139 N m-1. Furthermore, the nanoporous conductive polymer increases the specific electrochemical surface area after tissue penetration, resulting in an ultralow specific impedance of 893.13 Ω mm2 at 100 Hz. DSMNPs detect variation potential and action potential in real time and cation fluctuations in plants in response to environmental stimuli. After swelling, DSMNPs mechanically “lock” into biological tissues and prevent motion artifact by providing a stable interface. These results demonstrate the potential of DSMNPs for various applications in the field of plant physiology research and smart agriculture.

Original languageEnglish
Pages (from-to)43515-43523
Number of pages9
JournalACS Applied Materials and Interfaces
Volume15
Issue number37
DOIs
Publication statusPublished - Sept 20 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 American Chemical Society.

ASJC Scopus Subject Areas

  • General Materials Science

Keywords

  • conducting polymers
  • in situ biosensors
  • microneedle
  • plant physiology
  • smart agriculture

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