Citation

BibTex format

@article{Guder:2024:10.1126/sciadv.adj6315,
author = {Guder, F and Coatsworth, P and Bozkurt, O and Cotur, Y and Collins, AS-P and Olenik, S and Zhou, Z and Naik, A and Asfour, T and Gonzalez-Macia, L and Chao, D-Y},
doi = {10.1126/sciadv.adj6315},
journal = {Science Advances},
title = {Time-resolved chemical monitoring of whole plant roots with printed electrochemical sensors and machine learning},
url = {http://dx.doi.org/10.1126/sciadv.adj6315},
volume = {10},
year = {2024}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Traditional single-point measurements fail to capture dynamic chemical responses of plants, which are complex, nonequilibrium biological systems. We report TETRIS (time-resolved electrochemical technology for plant root environment in situ 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 H2O2 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 LaCl3 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.
AU - Guder,F
AU - Coatsworth,P
AU - Bozkurt,O
AU - Cotur,Y
AU - Collins,AS-P
AU - Olenik,S
AU - Zhou,Z
AU - Naik,A
AU - Asfour,T
AU - Gonzalez-Macia,L
AU - Chao,D-Y
DO - 10.1126/sciadv.adj6315
PY - 2024///
SN - 2375-2548
TI - Time-resolved chemical monitoring of whole plant roots with printed electrochemical sensors and machine learning
T2 - Science Advances
UR - http://dx.doi.org/10.1126/sciadv.adj6315
UR - https://www.science.org/doi/10.1126/sciadv.adj6315
UR - http://hdl.handle.net/10044/1/109008
VL - 10
ER -

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