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akaturk Academic measurement

Article detail · 2024

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

Journal

Science Advances
OpenAlex Open access · gold SJR Q1 JCR Q1 Citations 54 Top 1% Percentile 99.6% FWCI 23.86
Year
2024
Type
article

Data source split

  • YÖKSİS venue Science Advances
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

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.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

54 citations

OpenAlex cited_by_count (cache / database)

Authors

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