Time-resolved chemical monitoring of whole plant roots with printed electrochemical sensors and machine learning.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 38295162.
- Also identified by DOI 10.1126/sciadv.adj6315 and PMC identifier 10830104.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Traditional single-point measurements fail to capture dynamic chemical responses of plants, which are complex, nonequilibrium biological systems. We report TETRIS (<u>t</u>ime-resolved <u>e</u>lectrochemical <u>t</u>echnology for plant <u>r</u>oot environment <u>i</u>n <u>s</u>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<sub>2</sub>O<sub>2</sub> 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<sub>3</sub> 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.
Medical subject headings
- Hydrogen Peroxide
- Metals