Singh_2024_Sci.Rep_14_17662

Reference

Title : Enzyme-based sensor for the real-time detection of atrazine: Evidence from electrochemical and docking studies - Singh_2024_Sci.Rep_14_17662
Author(s) : Singh S , N P , Kaur H , Varshney R , Khan NA , Kumar R , Sharma AK , Singh J , Ramamurthy PC
Ref : Sci Rep , 14 :17662 , 2024
Abstract :

This study focused on strategically employing the carboxylesterase enzyme Ha006a, derived from the pesticide-resistant microorganism Helicoverpa armigera, to detect atrazine. A comprehensive analysis through biochemical, biophysical and bioinformatics approaches was conducted to determine the interaction between the Ha006a protein and the herbicide atrazine. These experimental findings elucidated the potential of leveraging the inherent pesticide sequestration mechanism of the Ha006a enzyme for sensor fabrication. Numerous optimizations were undertaken to ensure the precision, reproducibility and convenient storage of the resulting electrochemical sensor, Ha006a/MCPE. This biosensor exhibited exceptional performance in detecting atrazine, demonstrating outstanding selectivity with a lower limit of detection of 5.4 microM. The developed biosensor has emerged as a reliable and cost-effective green tool for the detection of atrazine from diverse environmental samples. The Ha006a-based biosensor fabrication has expanded the possibilities for the efficient integration of insect enzymes as analytical tools, paving the way for the design of cost-effective biosensors capable of detecting and quantifying pesticides.

PubMedSearch : Singh_2024_Sci.Rep_14_17662
PubMedID: 39085276
Gene_locus related to this paper: helam-d5g3e0

Related information

Gene_locus helam-d5g3e0

Citations formats

Singh S, N P, Kaur H, Varshney R, Khan NA, Kumar R, Sharma AK, Singh J, Ramamurthy PC (2024)
Enzyme-based sensor for the real-time detection of atrazine: Evidence from electrochemical and docking studies
Sci Rep 14 :17662

Singh S, N P, Kaur H, Varshney R, Khan NA, Kumar R, Sharma AK, Singh J, Ramamurthy PC (2024)
Sci Rep 14 :17662