Comparison of two methods for multi-residue analysis of organophosphorus pesticides in agricultural products with high and low moisture content

Abstract The current trend for chemically innocuous food production, in order to guarantee consumers’ health, induces a need for analyzing chemical contaminants associated to their production. As pesticides are one of the main residues demanding a special attention, their analysis in food becomes an imperative need. Considering that organophosphorus pesticides are the most used for worldwide pesticide control, a methodological comparison (PAM 302 vs. QuEChERS methods) of the determination of four compounds of this type in matrixes of low and high moisture content was performed in the present study, emphasizing on their assessment depending on the parameters of detection and quantification limits, linearity, accuracy and precision. In addition, the application of both methods in real samples was performed, thus demonstrating its efficiency.

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Bibliographic Details
Main Authors: Bastidas-Bastidas,P. de J., Leyva-Morales,J. B, Olmeda-Rubio,C, Pineda-Landeros,J. M, Martínez-Rodríguez,I. E
Format: Digital revista
Language:English
Published: Universidad Autónoma de Nayarit 2019
Online Access:http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S2007-33802019000200204
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Summary:Abstract The current trend for chemically innocuous food production, in order to guarantee consumers’ health, induces a need for analyzing chemical contaminants associated to their production. As pesticides are one of the main residues demanding a special attention, their analysis in food becomes an imperative need. Considering that organophosphorus pesticides are the most used for worldwide pesticide control, a methodological comparison (PAM 302 vs. QuEChERS methods) of the determination of four compounds of this type in matrixes of low and high moisture content was performed in the present study, emphasizing on their assessment depending on the parameters of detection and quantification limits, linearity, accuracy and precision. In addition, the application of both methods in real samples was performed, thus demonstrating its efficiency.