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Quantitative Modeling of the Degradation of Pesticide Residues in Wheat Flour Supply Chain
Pesticide residues in grain products are a major issue due to their comprehensive and long-term impact on human health, and quantitative modeling on the degradation of pesticide residues facilitate the prediction of pesticide residue level with time during storage. Herein, we tried to study the effe...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9957015/ https://www.ncbi.nlm.nih.gov/pubmed/36832863 http://dx.doi.org/10.3390/foods12040788 |
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author | Ding, Zhiqian Lin, Meirou Song, Xuelin Wu, Hua Xiao, Junsong |
author_facet | Ding, Zhiqian Lin, Meirou Song, Xuelin Wu, Hua Xiao, Junsong |
author_sort | Ding, Zhiqian |
collection | PubMed |
description | Pesticide residues in grain products are a major issue due to their comprehensive and long-term impact on human health, and quantitative modeling on the degradation of pesticide residues facilitate the prediction of pesticide residue level with time during storage. Herein, we tried to study the effect of temperature and relative humidity on the degradation profiles of five pesticides (carbendazim, bensulfuron methyl, triazophos, chlorpyrifos, and carbosulfan) in wheat and flour and establish quantitative models for prediction purpose. Positive samples were prepared by spraying the corresponding pesticide standards of certain concentrations. Then, these positive samples were stored at different combinations of temperatures (20 °C, 30 °C, 40 °C, 50 °C) and relative humidity (50%, 60%, 70%, 80%). Samples were collected at specific time points, ground, and the pesticide residues were extracted and purified by using QuEChERS method, and then quantified by using UPLC-MS/MS. Quantitative model of pesticide residues was constructed using Minitab 17 software. Results showed that high temperature and high relative humidity accelerate the degradation of the five pesticide residues, and their degradation profiles and half-lives over temperature and relative humidity varied among pesticides. The quantitative model for pesticide degradation in the whole process from wheat to flour was constructed, with R(2) above 0.817 for wheat and 0.796 for flour, respectively. The quantitative model allows the prediction of the pesticide residual level in the process from wheat to flour. |
format | Online Article Text |
id | pubmed-9957015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99570152023-02-25 Quantitative Modeling of the Degradation of Pesticide Residues in Wheat Flour Supply Chain Ding, Zhiqian Lin, Meirou Song, Xuelin Wu, Hua Xiao, Junsong Foods Article Pesticide residues in grain products are a major issue due to their comprehensive and long-term impact on human health, and quantitative modeling on the degradation of pesticide residues facilitate the prediction of pesticide residue level with time during storage. Herein, we tried to study the effect of temperature and relative humidity on the degradation profiles of five pesticides (carbendazim, bensulfuron methyl, triazophos, chlorpyrifos, and carbosulfan) in wheat and flour and establish quantitative models for prediction purpose. Positive samples were prepared by spraying the corresponding pesticide standards of certain concentrations. Then, these positive samples were stored at different combinations of temperatures (20 °C, 30 °C, 40 °C, 50 °C) and relative humidity (50%, 60%, 70%, 80%). Samples were collected at specific time points, ground, and the pesticide residues were extracted and purified by using QuEChERS method, and then quantified by using UPLC-MS/MS. Quantitative model of pesticide residues was constructed using Minitab 17 software. Results showed that high temperature and high relative humidity accelerate the degradation of the five pesticide residues, and their degradation profiles and half-lives over temperature and relative humidity varied among pesticides. The quantitative model for pesticide degradation in the whole process from wheat to flour was constructed, with R(2) above 0.817 for wheat and 0.796 for flour, respectively. The quantitative model allows the prediction of the pesticide residual level in the process from wheat to flour. MDPI 2023-02-13 /pmc/articles/PMC9957015/ /pubmed/36832863 http://dx.doi.org/10.3390/foods12040788 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ding, Zhiqian Lin, Meirou Song, Xuelin Wu, Hua Xiao, Junsong Quantitative Modeling of the Degradation of Pesticide Residues in Wheat Flour Supply Chain |
title | Quantitative Modeling of the Degradation of Pesticide Residues in Wheat Flour Supply Chain |
title_full | Quantitative Modeling of the Degradation of Pesticide Residues in Wheat Flour Supply Chain |
title_fullStr | Quantitative Modeling of the Degradation of Pesticide Residues in Wheat Flour Supply Chain |
title_full_unstemmed | Quantitative Modeling of the Degradation of Pesticide Residues in Wheat Flour Supply Chain |
title_short | Quantitative Modeling of the Degradation of Pesticide Residues in Wheat Flour Supply Chain |
title_sort | quantitative modeling of the degradation of pesticide residues in wheat flour supply chain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9957015/ https://www.ncbi.nlm.nih.gov/pubmed/36832863 http://dx.doi.org/10.3390/foods12040788 |
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