Utilizing a Rapid Multi-Plug Filtration Cleanup Method for 72 Pesticide Residues in Grape Wines Followed by Detection with Gas Chromatography Tandem Mass Spectrometry

A convenient and fast multi-residue method for the efficient identification and quantification of 72 pesticides belonging to different chemical classes in red and white grape wines has been developed. The analysis was based on gas chromatography tandem quadrupole mass spectrometric determination (GC...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Shaowen Liu, Aijuan Bai, Le Song, Nan Zou, Yongtao Han, Li Zhou, Chuanshan Yu, Changjun Li, Canping Pan
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
Acceso en línea:https://doaj.org/article/71785f636ae04f8093beedb10e56f4e0
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:71785f636ae04f8093beedb10e56f4e0
record_format dspace
spelling oai:doaj.org-article:71785f636ae04f8093beedb10e56f4e02021-11-25T17:34:55ZUtilizing a Rapid Multi-Plug Filtration Cleanup Method for 72 Pesticide Residues in Grape Wines Followed by Detection with Gas Chromatography Tandem Mass Spectrometry10.3390/foods101127312304-8158https://doaj.org/article/71785f636ae04f8093beedb10e56f4e02021-11-01T00:00:00Zhttps://www.mdpi.com/2304-8158/10/11/2731https://doaj.org/toc/2304-8158A convenient and fast multi-residue method for the efficient identification and quantification of 72 pesticides belonging to different chemical classes in red and white grape wines has been developed. The analysis was based on gas chromatography tandem quadrupole mass spectrometric determination (GC–MS/MS). The optimization strategy involved the selection of the amount of multi-walled carbon nanotubes (MWCNTs) and the number of cleanup procedure cycles for multi-plug filtration cleanup (m-PFC) to achieve ideal recoveries and reduce the sample matrix compounds in the final extracts. The optimized procedure obtained consistent recoveries between 70.2 and 108.8% (70.2 and 108.8% for white wine, and 72.3 and 108.4% for red wine), with relative standard deviations (RSDs) that were generally lower than 9.2% at the three spiking levels of 0.01, 0.05 and 0.1 mg/kg. The linearity was studied in the range between 0.002 and 0.1 mg/kg using pesticide standards prepared both in pure solvent and in the presence of the matrix, showing coefficients of determination (R<sup>2</sup>) higher than 0.9495 for all the pesticides. To improve accuracy, matrix-matched calibration curves were used for calculating the quantification results. Finally, the method was used successfully for detecting pesticide residues in commercial grape wines.Shaowen LiuAijuan BaiLe SongNan ZouYongtao HanLi ZhouChuanshan YuChangjun LiCanping PanMDPI AGarticlepesticide residueGC–MS/MSm-PFCwineChemical technologyTP1-1185ENFoods, Vol 10, Iss 2731, p 2731 (2021)
institution DOAJ
collection DOAJ
language EN
topic pesticide residue
GC–MS/MS
m-PFC
wine
Chemical technology
TP1-1185
spellingShingle pesticide residue
GC–MS/MS
m-PFC
wine
Chemical technology
TP1-1185
Shaowen Liu
Aijuan Bai
Le Song
Nan Zou
Yongtao Han
Li Zhou
Chuanshan Yu
Changjun Li
Canping Pan
Utilizing a Rapid Multi-Plug Filtration Cleanup Method for 72 Pesticide Residues in Grape Wines Followed by Detection with Gas Chromatography Tandem Mass Spectrometry
description A convenient and fast multi-residue method for the efficient identification and quantification of 72 pesticides belonging to different chemical classes in red and white grape wines has been developed. The analysis was based on gas chromatography tandem quadrupole mass spectrometric determination (GC–MS/MS). The optimization strategy involved the selection of the amount of multi-walled carbon nanotubes (MWCNTs) and the number of cleanup procedure cycles for multi-plug filtration cleanup (m-PFC) to achieve ideal recoveries and reduce the sample matrix compounds in the final extracts. The optimized procedure obtained consistent recoveries between 70.2 and 108.8% (70.2 and 108.8% for white wine, and 72.3 and 108.4% for red wine), with relative standard deviations (RSDs) that were generally lower than 9.2% at the three spiking levels of 0.01, 0.05 and 0.1 mg/kg. The linearity was studied in the range between 0.002 and 0.1 mg/kg using pesticide standards prepared both in pure solvent and in the presence of the matrix, showing coefficients of determination (R<sup>2</sup>) higher than 0.9495 for all the pesticides. To improve accuracy, matrix-matched calibration curves were used for calculating the quantification results. Finally, the method was used successfully for detecting pesticide residues in commercial grape wines.
format article
author Shaowen Liu
Aijuan Bai
Le Song
Nan Zou
Yongtao Han
Li Zhou
Chuanshan Yu
Changjun Li
Canping Pan
author_facet Shaowen Liu
Aijuan Bai
Le Song
Nan Zou
Yongtao Han
Li Zhou
Chuanshan Yu
Changjun Li
Canping Pan
author_sort Shaowen Liu
title Utilizing a Rapid Multi-Plug Filtration Cleanup Method for 72 Pesticide Residues in Grape Wines Followed by Detection with Gas Chromatography Tandem Mass Spectrometry
title_short Utilizing a Rapid Multi-Plug Filtration Cleanup Method for 72 Pesticide Residues in Grape Wines Followed by Detection with Gas Chromatography Tandem Mass Spectrometry
title_full Utilizing a Rapid Multi-Plug Filtration Cleanup Method for 72 Pesticide Residues in Grape Wines Followed by Detection with Gas Chromatography Tandem Mass Spectrometry
title_fullStr Utilizing a Rapid Multi-Plug Filtration Cleanup Method for 72 Pesticide Residues in Grape Wines Followed by Detection with Gas Chromatography Tandem Mass Spectrometry
title_full_unstemmed Utilizing a Rapid Multi-Plug Filtration Cleanup Method for 72 Pesticide Residues in Grape Wines Followed by Detection with Gas Chromatography Tandem Mass Spectrometry
title_sort utilizing a rapid multi-plug filtration cleanup method for 72 pesticide residues in grape wines followed by detection with gas chromatography tandem mass spectrometry
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/71785f636ae04f8093beedb10e56f4e0
work_keys_str_mv AT shaowenliu utilizingarapidmultiplugfiltrationcleanupmethodfor72pesticideresiduesingrapewinesfollowedbydetectionwithgaschromatographytandemmassspectrometry
AT aijuanbai utilizingarapidmultiplugfiltrationcleanupmethodfor72pesticideresiduesingrapewinesfollowedbydetectionwithgaschromatographytandemmassspectrometry
AT lesong utilizingarapidmultiplugfiltrationcleanupmethodfor72pesticideresiduesingrapewinesfollowedbydetectionwithgaschromatographytandemmassspectrometry
AT nanzou utilizingarapidmultiplugfiltrationcleanupmethodfor72pesticideresiduesingrapewinesfollowedbydetectionwithgaschromatographytandemmassspectrometry
AT yongtaohan utilizingarapidmultiplugfiltrationcleanupmethodfor72pesticideresiduesingrapewinesfollowedbydetectionwithgaschromatographytandemmassspectrometry
AT lizhou utilizingarapidmultiplugfiltrationcleanupmethodfor72pesticideresiduesingrapewinesfollowedbydetectionwithgaschromatographytandemmassspectrometry
AT chuanshanyu utilizingarapidmultiplugfiltrationcleanupmethodfor72pesticideresiduesingrapewinesfollowedbydetectionwithgaschromatographytandemmassspectrometry
AT changjunli utilizingarapidmultiplugfiltrationcleanupmethodfor72pesticideresiduesingrapewinesfollowedbydetectionwithgaschromatographytandemmassspectrometry
AT canpingpan utilizingarapidmultiplugfiltrationcleanupmethodfor72pesticideresiduesingrapewinesfollowedbydetectionwithgaschromatographytandemmassspectrometry
_version_ 1718412171693522944