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Pesticide Detection in Vegetable Crops Using Enzyme Inhibition Methods: a Comprehensive Review

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Abstract

One serious environmental problem in the world is food contamination. Many of the environmental pollutants result from agricultural activities. Particularly pesticides, which are commonly used to protect seeds and crops, have serious negative implications for human health. Therefore, biosensors were developed and used to detect pesticides in food and environmental samples in the last few decades. Indeed, utilization of enzyme inhibition method in pesticide detection has received the greatest interest. Therefore, this study screens previous researches on enzyme inhibition biosensors for determining pesticides and highlights different biological sources of these enzymes. The review acts as a guide for the detection of organophosphorus and carbamate pesticides in vegetable crops.

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Acknowledgements

The authors would like to thank Tanta University, Tanta, Egypt, for its support in the current work. The authors also acknowledge the support of Alexandria University, Alexandria, Egypt, and Paklihawa Campus, Institute of Agriculture and Animal Science, Tribhuvan University, Bhairahawa, Lumbini, Nepal. Finally, the authors would like to acknowledge Universidad Autónoma de Nuevo León, Mexico, and the University of the Free State, Bloemfontein, South Africa, for their valuable support.

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Correspondence to Soumya Ghosh.

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Heba Bedair declares that she has no conflict of interest. Hadeer Abdulrahman Rady declares that she has no conflict of interest. Aya Misbah Hussien declares that she has no conflict of interest. Meena Pandey declares that she has no conflict of interest. Wilgince Apollon declares that he has no conflict of interest. Samar Sami AlKafaas declares that she has no conflict of interest. Soumya Ghosh declares that he has no conflict of interest.

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Bedair, H., Rady, H.A., Hussien, A.M. et al. Pesticide Detection in Vegetable Crops Using Enzyme Inhibition Methods: a Comprehensive Review. Food Anal. Methods 15, 1979–2000 (2022). https://doi.org/10.1007/s12161-022-02254-x

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  • DOI: https://doi.org/10.1007/s12161-022-02254-x

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