Analytical method for fast screening and confirmation of multi-class veterinary drug residues in fish and shrimp by LC-MS/MS
- Authors
- Kim, Junghyun; Suh, Joon Hyuk; Cho, Hyun-Deok; Kang, Wonjae; Choi, Yong Seok; Han, Sang Beom
- Issue Date
- Mar-2016
- Publisher
- TAYLOR & FRANCIS LTD
- Keywords
- Multi-residue analysis; veterinary drugs; fishery products; LC-MS/MS; validation
- Citation
- FOOD ADDITIVES AND CONTAMINANTS PART A-CHEMISTRY ANALYSIS CONTROL EXPOSURE & RISK ASSESSMENT, v.33, no.3, pp 420 - 432
- Pages
- 13
- Journal Title
- FOOD ADDITIVES AND CONTAMINANTS PART A-CHEMISTRY ANALYSIS CONTROL EXPOSURE & RISK ASSESSMENT
- Volume
- 33
- Number
- 3
- Start Page
- 420
- End Page
- 432
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/7162
- DOI
- 10.1080/19440049.2016.1139752
- ISSN
- 1944-0049
1944-0057
- Abstract
- A multi-class, multi-residue analytical method based on LC-MS/MS detection was developed for the screening and confirmation of 28 veterinary drug and metabolite residues in flatfish, shrimp and eel. The chosen veterinary drugs are prohibited or unauthorised compounds in Korea, which were categorised into various chemical classes including nitroimidazoles, benzimidazoles, sulfones, quinolones, macrolides, phenothiazines, pyrethroids and others. To achieve fast and simultaneous extraction of various analytes, a simple and generic liquid extraction procedure using EDTA-ammonium acetate buffer and acetonitrile, without further clean-up steps, was applied to sample preparation. The final extracts were analysed by ultra-high-performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS). The method was validated for each compound in each matrix at three different concentrations (5, 10 and 20ngg(-1)) in accordance with Codex guidelines (CAC/GL 71-2009). For most compounds, the recoveries were in the range of 60-110%, and precision, expressed as the relative standard deviation (RSD), was in the range of 5-15%. The detection capabilities (CCs) were below or equal to 5ngg(-1), which indicates that the developed method is sufficient to detect illegal fishery products containing the target compounds above the residue limit (10ngg(-1)) of the new regulatory system (Positive List System - PLS).
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Collections - College of Pharmacy > School of Pharmacy > 1. Journal Articles
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