Matrix-Matched Calibration for the Quantitative Analysis of Pesticides in Pepper and Wheat Flour: Selection of the Best Calibration Model

José Manuel Veiga-del-Baño, José Oliva, Miguel Ángel Cámara, Pedro Andreo-Martínez () and Miguel Motas
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José Manuel Veiga-del-Baño: Department of Agricultural Chemistry, Faculty of Chemistry, Regional Campus of International Excellence “Campus Mare Nostrum”, University of Murcia, Campus of Espinardo, 30100 Murcia, Spain
José Oliva: Department of Agricultural Chemistry, Faculty of Chemistry, Regional Campus of International Excellence “Campus Mare Nostrum”, University of Murcia, Campus of Espinardo, 30100 Murcia, Spain
Miguel Ángel Cámara: Department of Agricultural Chemistry, Faculty of Chemistry, Regional Campus of International Excellence “Campus Mare Nostrum”, University of Murcia, Campus of Espinardo, 30100 Murcia, Spain
Pedro Andreo-Martínez: Department of Agricultural Chemistry, Faculty of Chemistry, Regional Campus of International Excellence “Campus Mare Nostrum”, University of Murcia, Campus of Espinardo, 30100 Murcia, Spain
Miguel Motas: Department of Toxicology, Faculty of Veterinary, Regional Campus of International Excellence “Campus Mare Nostrum”, University of Murcia, Campus of Espinardo, 30100 Murcia, Spain

Agriculture, 2024, vol. 14, issue 7, 1-13

Abstract: An automated package for calculating the best calibration model for matrix-matched calibration in food pesticide analysis has been developed in this study. The algorithm development in the package is based on three requirements for routine food pesticide analysis: a good working range fitness for samples with high maximum residue limits (MRLs), detection capability for pesticide analysis with MRLs close to the limit of quantitation, and a simple working range problem detection model. The requirements are combined in a simple scoring system above 100. The package has been tested in the analysis of pesticides of pepper and wheat flour. The results show that the package can be used for different pesticides quickly and visually, and also allows evaluation of matrix effects between different matrix calibrations. For the pesticides tested with the package, the weighted linear calibration gave the best score over the simple linear calibration and second-order calibration.

Keywords: automation; calibration; detection capability; foods; goodness of fit; pesticides (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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