Abstract
With the emergence of modern agronomy practices and the use of multiple synthetic pesticide agents to keep control over crop and field throughput, there lies a broad requirement for smart, accessible technologies to track pesticide contaminants in food, water, and other environmental matrices. In this work, we report at a proof of feasibility level, a sensor system to perform pesticide detection in aqueous buffers for two pesticides at the opposite ends of polarity (Atrazine and Glyphosate) in a serially combinatorial manner. The sensor construct employs a universal FR-4 substrate gold interdigitated electrodes with active sensing elements based on selective antibodies (proteins) and polymeric network structures – poly(3,4-ethylenedioxythiophene). Further, to determine metrics of sensor deployment in real-case scenarios: multi-modal (electrochemical impedance spectroscopy and chronoamperometry) and multi-approach strategies (affinity-binding and receptor-free) were used to obtain sensing measurements. Higher specificity repeatable outputs were obtained with the affinity-based method while greater sensitivity by means of dynamic range (0.5 ng/ml–10 μg/ml for Glyphosate and 10 fg/ml–1 ng/ml for Atrazine) and limit of detection (0.5 ng/ml for Glyphosate and 1 fg/ml for Atrazine) was determined via receptor-free direct approach for both pesticides. This serves as a first-step study to perform potential combinatorial assessment and subsequently-multiplexed analysis of pesticide antigens.
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Dhamu, V. N., Poudyal, D. C., Telang, C. M., Paul, A., Muthukumar, S., & Prasad, S. (2022). Electrochemically mediated multi-modal detection strategy-driven sensor platform to detect and quantify pesticides. Electrochemical Science Advances, 2(6). https://doi.org/10.1002/elsa.202100128
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