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    Minimally-Invasive, Real-Time, Non-Destructive, Species-Independent Phytohormone Biosensor for Precision Farming

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    SSRN-id4084521.pdf
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    Description:
    Preprint
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    Type
    Preprint
    Authors
    Bu Khamsin, Abdullah cc
    Ait Lahcen, Abdellatif cc
    Filho, Jose De Oliveira
    Shetty, Saptami
    Blilou, Ikram cc
    Kosel, Jürgen
    Salama, Khaled N. cc
    KAUST Department
    Sensors Lab, Advanced Membranes & Porous Materials Center (AMPMC), Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 239556900, Saudi Arabia
    Laboratory of Plant Cell and Developmental Biology (LPCDB), Biological and Environmental Science and Engineering (BESE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
    Electrical and Computer Engineering
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Biological and Environmental Science and Engineering (BESE) Division
    Plant Science
    Center for Desert Agriculture
    Electrical and Computer Engineering Program
    Advanced Membranes and Porous Materials Research Center
    Date
    2022-04-15
    Permanent link to this record
    http://hdl.handle.net/10754/676621
    
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    Abstract
    To keep up with population growth, precision farming technologies must be implemented to sustainably increase agricultural output. The impact of such technologies can be expanded by monitoring phytohormones, such as salicylic acid. In this study, we present a plant-wearable electrochemical sensor for in situ detection of salicylic acid. The sensor utilizes microneedle-based electrodes that are functionalized with a layer of salicylic acid selective magnetic molecularly imprinted polymers. The sensor’s capability to detect the phytohormone is demonstrated both in vitro and in vivo with a limit of detection of 2.74 µM and a range of detection that can reach as high as 150 µM. Furthermore, the selectivity of the sensor is verified by testing the sensor on commonly occurring phytohormones. Finally, we demonstrate the capability of the sensor to detect the onset of fungal infestation in Tobacco 5 minutes post-inoculation. This work shows that the sensor could serve as a promising platform for continuous and non-destructive monitoring in the field and as a fundamental research tool when coupled with a portable potentiostat.
    Citation
    Bukhamsin, A. H., Ait Lahcen, A., Filho, J. D. O., Shetty, S., Blilou, I., Kosel, J., & Salama, K. (2022). Minimally-Invasive, Real-Time, Non-Destructive, Species-Independent Phytohormone Biosensor for Precision Farming. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4084521
    Sponsors
    The authors thank Dr. Ulrich Buttner (KAUST – NCL staff), Dr. Verappan Mani (KAUST– Research scientist), Tutku Beduk (KAUST – Ph.D.), and Khalil Moussi (KAUST –Ph.D.) for useful discussions and support. The research was funded and supported by King Abdullah University of Science and Technology (KAUST).
    Publisher
    Elsevier BV
    DOI
    10.2139/ssrn.4084521
    Additional Links
    https://www.ssrn.com/abstract=4084521
    ae974a485f413a2113503eed53cd6c53
    10.2139/ssrn.4084521
    Scopus Count
    Collections
    Biological and Environmental Science and Engineering (BESE) Division; Preprints; Advanced Membranes and Porous Materials Research Center; Electrical and Computer Engineering Program; Sensors Lab; Center for Desert Agriculture; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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