Ultraflexible Ion-Specific Nanoelectrodes for Long-Term Potassium Monitoring in Plants

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Authors: Zhongli Yang, Mingyu Shu, Haoran Ma, Guanyi Zhu, Han Sun, Mingliang Xu, Xiaoling Wei, W.M. Tsang, Daiying Chao, Ruxin Li, Fei He
Cited by: 0
References: 51

Abstract

Abstract High-precision in vivo monitoring of ion fluxes is essential yet challenging studying plant electrophysiology such as growth regulation, signal transduction and stress responses. Existing methods for probing ion dynamics are limited by low sensitivity, high invasiveness that interferes physiological processes, and the inability to accurately resolve ion homeostasis with required spatial and temporal resolution. Here, we introduce ultraflexible, plant implantable nanoelectrode (PINE) arrays manufactured on 1.2-μm-thick polymer substrates, which enable ultrasensitive and selective measurement of ionic current for month-long via scalable nanofabrication techniques. The fabricated PINE arrays have a smaller dimension than typical plant cells as well as less stiffness, facilitating minimally invasive integration with living plant cells. This subcellular-scale plant-electronic interface allows for reliable, selective detection of K + flux with a detection limit of ∼10⁻⁸ M, and thus allows continuous, stable monitoring of tomato stem cells over six weeks, capturing dynamic potassium fluctuations during all key growth stages. More importantly, the method permits long-term, real-time tracking of ion-specific dynamics without disrupting plant cellular structure or altering endogenous ion concentrations. Therefore, PINE provides unprecedented access to ion homeostasis and signaling networks, making it an excellent platform for precision agriculture and a foundational tool for future digital plant engineering.

Fields of Study & Subjects

Plant and Biological Electrophysiology Studies Neuroscience and Neural Engineering Analytical Chemistry and Sensors

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publication date
2 February 2026
Document type
Preprint