Optimization of 204 veterinary drug residues method and establishing their mass spectrum library

A multi-class multi-residue analytical method was validated in this paper for simultaneously identifying 204 veterinary drugs in pork by UPLC-QTRAP MS/MS, including sulfonamides, quinolones, β-agonists, and nitroimidazoles. MRM-IDA-EPI mode of QTRAP was used to establish a secondary mass spectrum li...

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Main Authors: Xiaoqin Li, Zhijuan Fang, Xinye He, Shuqin Zhang, Hongliu Ding, Hu Ye
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:International Journal of Food Properties
Subjects:
Online Access:http://dx.doi.org/10.1080/10942912.2021.1986524
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author Xiaoqin Li
Zhijuan Fang
Xinye He
Shuqin Zhang
Hongliu Ding
Hu Ye
author_facet Xiaoqin Li
Zhijuan Fang
Xinye He
Shuqin Zhang
Hongliu Ding
Hu Ye
author_sort Xiaoqin Li
collection DOAJ
description A multi-class multi-residue analytical method was validated in this paper for simultaneously identifying 204 veterinary drugs in pork by UPLC-QTRAP MS/MS, including sulfonamides, quinolones, β-agonists, and nitroimidazoles. MRM-IDA-EPI mode of QTRAP was used to establish a secondary mass spectrum library of these 204 veterinary drugs, which could enhance the qualitative analysis of suspect substances. The separation of substances was performed on a C18 column, with a gradient elution of 0.1% formic acid solution in water and methanol. Electrospray ionization (ESI), fast polarity switching, and scheduled MRM mode were used to collect the characterization results. Factors that affected the recovery were delicately optimized, such as solvent proportion, formic acid content, and purification method. We finally determined the extracting method with formic acid-acetonitrile-water (0.1:90:10, v:v:v) and purifying method with Cleanert LipoNo as a package for dispersive solid-phase extraction. Matrix effects on the quantitative results were also investigated. Some compounds had strong matrix inhibition or enhancement, and the matrix matching external standard method was used to quantify the compounds accurately. The correlation coefficient R2 was over 0.99 within the calibration linearity range for the detected 204 veterinary drugs. The limit of quantification (LOQ) was 0.5 ~ 5 μg/kg. The recoveries ranged from 61.4% to 118.8% with RSDs of 3.1% to 19.2% (n = 6).
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spelling doaj.art-0780a8d70848460aad8891cb1eb0e5f12022-12-21T17:17:21ZengTaylor & Francis GroupInternational Journal of Food Properties1094-29121532-23862021-01-012411658168010.1080/10942912.2021.19865241986524Optimization of 204 veterinary drug residues method and establishing their mass spectrum libraryXiaoqin Li0Zhijuan Fang1Xinye He2Shuqin Zhang3Hongliu Ding4Hu Ye5Suzhou Institute For Food ControlSuzhou Institute For Food ControlSuzhou Institute For Food ControlSuzhou Institute of Product Quality Supervision and InspectionSuzhou Institute of Product Quality Supervision and InspectionSuzhou Institute For Food ControlA multi-class multi-residue analytical method was validated in this paper for simultaneously identifying 204 veterinary drugs in pork by UPLC-QTRAP MS/MS, including sulfonamides, quinolones, β-agonists, and nitroimidazoles. MRM-IDA-EPI mode of QTRAP was used to establish a secondary mass spectrum library of these 204 veterinary drugs, which could enhance the qualitative analysis of suspect substances. The separation of substances was performed on a C18 column, with a gradient elution of 0.1% formic acid solution in water and methanol. Electrospray ionization (ESI), fast polarity switching, and scheduled MRM mode were used to collect the characterization results. Factors that affected the recovery were delicately optimized, such as solvent proportion, formic acid content, and purification method. We finally determined the extracting method with formic acid-acetonitrile-water (0.1:90:10, v:v:v) and purifying method with Cleanert LipoNo as a package for dispersive solid-phase extraction. Matrix effects on the quantitative results were also investigated. Some compounds had strong matrix inhibition or enhancement, and the matrix matching external standard method was used to quantify the compounds accurately. The correlation coefficient R2 was over 0.99 within the calibration linearity range for the detected 204 veterinary drugs. The limit of quantification (LOQ) was 0.5 ~ 5 μg/kg. The recoveries ranged from 61.4% to 118.8% with RSDs of 3.1% to 19.2% (n = 6).http://dx.doi.org/10.1080/10942912.2021.1986524uplc-qtrap ms/msveterinary drugsporkmulti-class multi-residue analysissecondary mass spectrum library
spellingShingle Xiaoqin Li
Zhijuan Fang
Xinye He
Shuqin Zhang
Hongliu Ding
Hu Ye
Optimization of 204 veterinary drug residues method and establishing their mass spectrum library
International Journal of Food Properties
uplc-qtrap ms/ms
veterinary drugs
pork
multi-class multi-residue analysis
secondary mass spectrum library
title Optimization of 204 veterinary drug residues method and establishing their mass spectrum library
title_full Optimization of 204 veterinary drug residues method and establishing their mass spectrum library
title_fullStr Optimization of 204 veterinary drug residues method and establishing their mass spectrum library
title_full_unstemmed Optimization of 204 veterinary drug residues method and establishing their mass spectrum library
title_short Optimization of 204 veterinary drug residues method and establishing their mass spectrum library
title_sort optimization of 204 veterinary drug residues method and establishing their mass spectrum library
topic uplc-qtrap ms/ms
veterinary drugs
pork
multi-class multi-residue analysis
secondary mass spectrum library
url http://dx.doi.org/10.1080/10942912.2021.1986524
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AT shuqinzhang optimizationof204veterinarydrugresiduesmethodandestablishingtheirmassspectrumlibrary
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