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A Novel Analysis Method for Simultaneous Determination of 31 Pesticides by High-Performance Liquid Chromatography-Tandem Mass Spectrometry in Ginseng

Ginseng is a perennial herb with a long growth cycle and is known to easily accumulate pesticides during its growth process, seriously threatening people's health. Therefore, to ensure safe consumption, it is necessary to detect and monitor pesticide residues in ginseng. In this study, a novel...

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Autores principales: Hou, Xingang, Liu, Liangyue, Wei, Liping, Feng, Da, Lv, Meng, Wang, Xiumei, Yu, Xiaolong, Lu, Zhongbin, Hou, Zhiguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866027/
https://www.ncbi.nlm.nih.gov/pubmed/35223127
http://dx.doi.org/10.1155/2022/4208243
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author Hou, Xingang
Liu, Liangyue
Wei, Liping
Feng, Da
Lv, Meng
Wang, Xiumei
Yu, Xiaolong
Lu, Zhongbin
Hou, Zhiguang
author_facet Hou, Xingang
Liu, Liangyue
Wei, Liping
Feng, Da
Lv, Meng
Wang, Xiumei
Yu, Xiaolong
Lu, Zhongbin
Hou, Zhiguang
author_sort Hou, Xingang
collection PubMed
description Ginseng is a perennial herb with a long growth cycle and is known to easily accumulate pesticides during its growth process, seriously threatening people's health. Therefore, to ensure safe consumption, it is necessary to detect and monitor pesticide residues in ginseng. In this study, a novel analysis method was established for simultaneous determination of 31 pesticides in ginseng by high-performance liquid chromatography-mass spectrometry. Ginseng samples were extracted using acetonitrile, cleaned up by primary secondary amine (PSA) solid-phase extraction column eluted with acetonitrile-toluene, and then detected in multiple reaction mode (MRM). The calibration curves of target compounds were linear in the range of 0.005–1.0 mg/L, with correlation coefficients greater than 0.9921. The limits of detection of all the pesticides in ginseng were between 4.4×10(−5) and 1.6 × 10(−2) mg/kg. For fresh ginseng, the average recoveries ranged from 72.1 to 111.6%, and the relative standard deviations were 1.3–12.2%. For dry ginseng, the average recoveries were 74.3–108.3%, and the relative standard deviations were 0.9–14.9%. The residual concentrations of some pesticides in real samples were greater than the maximum residue limit (MRL) for European Union (EU). The method established here is rapid and simple with high sensitivity and good reproducibility, which is sensitive in the residue analysis of many pesticides in ginseng.
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spelling pubmed-88660272022-02-24 A Novel Analysis Method for Simultaneous Determination of 31 Pesticides by High-Performance Liquid Chromatography-Tandem Mass Spectrometry in Ginseng Hou, Xingang Liu, Liangyue Wei, Liping Feng, Da Lv, Meng Wang, Xiumei Yu, Xiaolong Lu, Zhongbin Hou, Zhiguang J Anal Methods Chem Research Article Ginseng is a perennial herb with a long growth cycle and is known to easily accumulate pesticides during its growth process, seriously threatening people's health. Therefore, to ensure safe consumption, it is necessary to detect and monitor pesticide residues in ginseng. In this study, a novel analysis method was established for simultaneous determination of 31 pesticides in ginseng by high-performance liquid chromatography-mass spectrometry. Ginseng samples were extracted using acetonitrile, cleaned up by primary secondary amine (PSA) solid-phase extraction column eluted with acetonitrile-toluene, and then detected in multiple reaction mode (MRM). The calibration curves of target compounds were linear in the range of 0.005–1.0 mg/L, with correlation coefficients greater than 0.9921. The limits of detection of all the pesticides in ginseng were between 4.4×10(−5) and 1.6 × 10(−2) mg/kg. For fresh ginseng, the average recoveries ranged from 72.1 to 111.6%, and the relative standard deviations were 1.3–12.2%. For dry ginseng, the average recoveries were 74.3–108.3%, and the relative standard deviations were 0.9–14.9%. The residual concentrations of some pesticides in real samples were greater than the maximum residue limit (MRL) for European Union (EU). The method established here is rapid and simple with high sensitivity and good reproducibility, which is sensitive in the residue analysis of many pesticides in ginseng. Hindawi 2022-02-16 /pmc/articles/PMC8866027/ /pubmed/35223127 http://dx.doi.org/10.1155/2022/4208243 Text en Copyright © 2022 Xingang Hou et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hou, Xingang
Liu, Liangyue
Wei, Liping
Feng, Da
Lv, Meng
Wang, Xiumei
Yu, Xiaolong
Lu, Zhongbin
Hou, Zhiguang
A Novel Analysis Method for Simultaneous Determination of 31 Pesticides by High-Performance Liquid Chromatography-Tandem Mass Spectrometry in Ginseng
title A Novel Analysis Method for Simultaneous Determination of 31 Pesticides by High-Performance Liquid Chromatography-Tandem Mass Spectrometry in Ginseng
title_full A Novel Analysis Method for Simultaneous Determination of 31 Pesticides by High-Performance Liquid Chromatography-Tandem Mass Spectrometry in Ginseng
title_fullStr A Novel Analysis Method for Simultaneous Determination of 31 Pesticides by High-Performance Liquid Chromatography-Tandem Mass Spectrometry in Ginseng
title_full_unstemmed A Novel Analysis Method for Simultaneous Determination of 31 Pesticides by High-Performance Liquid Chromatography-Tandem Mass Spectrometry in Ginseng
title_short A Novel Analysis Method for Simultaneous Determination of 31 Pesticides by High-Performance Liquid Chromatography-Tandem Mass Spectrometry in Ginseng
title_sort novel analysis method for simultaneous determination of 31 pesticides by high-performance liquid chromatography-tandem mass spectrometry in ginseng
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866027/
https://www.ncbi.nlm.nih.gov/pubmed/35223127
http://dx.doi.org/10.1155/2022/4208243
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