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Residual levels and dietary intake risk assessment of 11 pesticides in apricots from different ecological planting regions in China

The frequent and massive use of pesticides has led to pesticide residues in apricot, threatening food safety and human health. A reliable and simple modified QuEChERS method with ultra-performance liquid chromatography-tandem mass spectrometry was developed for the simultaneous determination of 11 p...

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Autores principales: Yang, Song, Xing, Yujun, Liu, Quanquan, Wang, Hairong, Gu, Aiguo, Wang, Jinzheng, Xue, Xiaomin, Chen, Ru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637227/
https://www.ncbi.nlm.nih.gov/pubmed/36335168
http://dx.doi.org/10.1038/s41598-022-23564-4
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author Yang, Song
Xing, Yujun
Liu, Quanquan
Wang, Hairong
Gu, Aiguo
Wang, Jinzheng
Xue, Xiaomin
Chen, Ru
author_facet Yang, Song
Xing, Yujun
Liu, Quanquan
Wang, Hairong
Gu, Aiguo
Wang, Jinzheng
Xue, Xiaomin
Chen, Ru
author_sort Yang, Song
collection PubMed
description The frequent and massive use of pesticides has led to pesticide residues in apricot, threatening food safety and human health. A reliable and simple modified QuEChERS method with ultra-performance liquid chromatography-tandem mass spectrometry was developed for the simultaneous determination of 11 pesticides in apricot. Method validation indicated that satisfied linearity (R(2) ≥ 0.9959), accuracy (recoveries of 72–119%), sensitivity (limits of detection, 0.03–0.30 μg/kg; limits of quantification, 0.13–1.00 μg/kg), and precision (relative standard deviations ≤ 11.9%), and matrix effects were 0.89–1.13. Apricot samples from different ecological regions in China were collected and tested using the proposed methods. Monitoring results were used to assess the dietary intake risk of Chinese populations of different ages and genders. Dietary risk assessment revealed that the risk quotients were 0.003–1.184% for different gender and age groups in China, indicating none unacceptable public health risk for general population. This work was thus significant in developing a simpler, more efficient and economical analysis method and food safety risks of the 11 pesticides on apricot and facilitated the establishment of maximum residue limits.
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spelling pubmed-96372272022-11-07 Residual levels and dietary intake risk assessment of 11 pesticides in apricots from different ecological planting regions in China Yang, Song Xing, Yujun Liu, Quanquan Wang, Hairong Gu, Aiguo Wang, Jinzheng Xue, Xiaomin Chen, Ru Sci Rep Article The frequent and massive use of pesticides has led to pesticide residues in apricot, threatening food safety and human health. A reliable and simple modified QuEChERS method with ultra-performance liquid chromatography-tandem mass spectrometry was developed for the simultaneous determination of 11 pesticides in apricot. Method validation indicated that satisfied linearity (R(2) ≥ 0.9959), accuracy (recoveries of 72–119%), sensitivity (limits of detection, 0.03–0.30 μg/kg; limits of quantification, 0.13–1.00 μg/kg), and precision (relative standard deviations ≤ 11.9%), and matrix effects were 0.89–1.13. Apricot samples from different ecological regions in China were collected and tested using the proposed methods. Monitoring results were used to assess the dietary intake risk of Chinese populations of different ages and genders. Dietary risk assessment revealed that the risk quotients were 0.003–1.184% for different gender and age groups in China, indicating none unacceptable public health risk for general population. This work was thus significant in developing a simpler, more efficient and economical analysis method and food safety risks of the 11 pesticides on apricot and facilitated the establishment of maximum residue limits. Nature Publishing Group UK 2022-11-05 /pmc/articles/PMC9637227/ /pubmed/36335168 http://dx.doi.org/10.1038/s41598-022-23564-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Yang, Song
Xing, Yujun
Liu, Quanquan
Wang, Hairong
Gu, Aiguo
Wang, Jinzheng
Xue, Xiaomin
Chen, Ru
Residual levels and dietary intake risk assessment of 11 pesticides in apricots from different ecological planting regions in China
title Residual levels and dietary intake risk assessment of 11 pesticides in apricots from different ecological planting regions in China
title_full Residual levels and dietary intake risk assessment of 11 pesticides in apricots from different ecological planting regions in China
title_fullStr Residual levels and dietary intake risk assessment of 11 pesticides in apricots from different ecological planting regions in China
title_full_unstemmed Residual levels and dietary intake risk assessment of 11 pesticides in apricots from different ecological planting regions in China
title_short Residual levels and dietary intake risk assessment of 11 pesticides in apricots from different ecological planting regions in China
title_sort residual levels and dietary intake risk assessment of 11 pesticides in apricots from different ecological planting regions in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637227/
https://www.ncbi.nlm.nih.gov/pubmed/36335168
http://dx.doi.org/10.1038/s41598-022-23564-4
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