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

Authors :
Xiaoqin Li
Zhijuan Fang
Xinye He
Shuqin Zhang
Hongliu Ding
Hu Ye
Source :
International Journal of Food Properties, Vol 24, Iss 1, Pp 1658-1680 (2021)
Publication Year :
2021
Publisher :
Taylor & Francis Group, 2021.

Abstract

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).

Details

Language :
English
ISSN :
10942912 and 15322386
Volume :
24
Issue :
1
Database :
Directory of Open Access Journals
Journal :
International Journal of Food Properties
Publication Type :
Academic Journal
Accession number :
edsdoj.0780a8d70848460aad8891cb1eb0e5f1
Document Type :
article
Full Text :
https://doi.org/10.1080/10942912.2021.1986524