Time-resolved chemical monitoring of whole plant roots with printed electrochemical sensors and machine learning.

Abstract

Traditional single-point measurements fail to capture dynamic chemical responses of plants, which are complex, nonequilibrium biological systems. We report TETRIS ( t ime-resolved e lectrochemical t echnology for plant r oot environment i n s itu chemical sensing), a real-time chemical phenotyping system for continuously monitoring chemical signals in the often-neglected plant root environment. TETRIS consisted of low-cost, highly scalable screen-printed electrochemical sensors for monitoring concentrations of salt, pH, and H 2 O 2 in the root environment of whole plants, where multiplexing allowed for parallel sensing operation. TETRIS was used to measure ion uptake in tomato, kale, and rice and detected differences between nutrient and heavy metal ion uptake. Modulation of ion uptake with ion channel blocker LaCl 3 was monitored by TETRIS and machine learning used to predict ion uptake. TETRIS has the potential to overcome the urgent “bottleneck” in high-throughput screening in producing high-yielding plant varieties with improved resistance against stress.

Plant phenotyping relevance

植物の根圏における化学シグナルを連続測定するセンサー型フェノタイピングシステムを開発し、イオン吸収の測定と機械学習による予測まで扱っており、取得手法が研究の中心です。

Code and data availability

The supplied blocks describe the TETRIS electrochemical phenotyping platform, plant uptake measurements, and machine learning prediction, but contain no data availability statement, public dataset deposit, or author code repository with a URL. No qualifying paper-specific public assets are present, and no allowed URLs,

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