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Non-destructive monitoring of tissue-specific, irrigation responsive impedance signals in leaves using microneedles probes

bioRxiv · 1 Apr 2025 · 10.1101/2025.03.31.646420

Abstract

A non-destructive methodology for monitoring impedance changes in sorghum leaves was developed and recorded irrigation-dependent responses that differed between leaf tissues. Metal microneedles were used as impedance probes and were shown to cause minimal damage to the plant. The needles were placed on either the abaxial or adaxial side of the leaf midrib using small clamps and re-used hundreds of times with minimal signs of wear. Cross-sectional images verified the precision of microneedle placement near vascular bundles on the abaxial surface and in non-vascular hydrenchyma on the adaxial surface. Impedance measurements with microneedles displayed a significant decrease in resistance compared to planar electrodes due to bypassing the epidermal layer. A tissue-specific impedance response was seen in relation to irrigation where the non-vascular adaxial surface remained largely stable throughout a day of measurement, while impedance increased in the vascular abaxial surface during exposure to light and decreased following watering. Impedance data were also compared with simultaneous gas exchange measurements of photosynthesis and transpiration.

Plant phenotyping relevance

ソルガム葉の組織特異的な水分・生理応答を非破壊インピーダンス測定で取得する手法を開発し、電極比較や配置精度、再利用性も検証しているため、植物フェノタイピング手法が中心である。

abstractA non-destructive methodology for monitoring impedance changes in sorghum leaves was developed
abstractImpedance measurements with microneedles displayed a significant decrease in resistance compared to planar electrodes
abstractA tissue-specific impedance response was seen in relation to irrigation

Code and data availability

The supplied blocks describe microneedle impedance and gas-exchange phenotyping of sorghum leaves, but contain no public phenotype dataset, image/sensor data deposit, or authors' analysis code repository. The only URLs are the bioRxiv DOI and generic R package/software citations (ggplot2, lme4, etc.), which are generic

No evidence-backed public reproduction asset is currently recorded.

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