Drought monitoring in tobacco plants by in-vivo electrochemical biosensor

Dayananda Desagani*, Aakash Jog, Orian Teig-Sussholz, Adi Avni, Yosi Shacham-Diamand

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Real-time monitoring along with early detection of drought levels was studied in transgenic tobacco plants using an in-vivo technique with a bio-electrochemical sensor. This study reports on the detection of the plant's water deficit status as indicated by its reporter gene expression, caused due to drought stress. Plant-based in-vivo sensing provides real-time information generated by the actual hydration/dehydration status of the plant; It complements the information provided by ex-vivo sensors sampling the plant's surroundings. In the method described here, the expression of the β-D-glucuronidase enzyme, expressed under drought conditions in genetically modified tobacco plants, is monitored using the enzyme-substrate (4-nitrophenyl β-D-glucuronide) reaction generating an electrochemically active product. The generated product is oxidized on the working electrode of a three-electrode electrochemical cell-on-chip mounted on the leaves of Nicotiana tabacum plants. The transport mechanisms and the real-time behavior of enzyme activity was studied using the Michaelis-Menten kinetic diffusion model. The obtained electrochemical signals fit the Michaelis-Menten diffusion kinetic model with the mean absolute error below 5%. The proposed bioelectrochemical sensor detected drought stress earlier than other conventional methods. The sensor applicability under dehydration periods up to 3 weeks is demonstrated showing the highlight and problems of this method.

Original languageEnglish
Article number131357
JournalSensors and Actuators B: Chemical
Volume356
DOIs
StatePublished - 1 Apr 2022

Funding

FundersFunder number
Boris Mints Institute for Strategic Policy Solutions
Department of Public Policy
Manna Centre for Food Security
Ministry of Science, Technology and Space3-14345
Israel Academy of Sciences and Humanities550/18 AA
Israel Science Foundation1616/17 YS
Tel Aviv University590351

    Keywords

    • Arabidopsis RD29
    • Biosensor
    • Drought monitoring
    • In-vivo sensing
    • Michaelis-Menten kinetic diffusion model
    • Nicotiana tabacum plants
    • β-D-glucuronidase enzyme

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