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Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/5057
Title: Multi-residue analysis using liquid chromatography tandem mass spectrometry for detection of 20 coccidiostats in poultry, livestock, and aquatic tissues
Authors: Shun-Hsien Chang 
Yu-Hsun Lai
Chih-Neng Huang
Guan-Jhih Peng
Chia-Ding Liao
Ya-Min Kao
Su-HsiangTseng
Der-Yuan Wang
Keywords: Coccidiostats;LC–MS/MS;Multi-residue analysis;QuEChERS;Veterinary drugs
Issue Date: 25-Feb-2019
Publisher: ScienceDirect
Journal Volume: 27
Journal Issue: 3
Start page/Pages: 703-716
Source: Journal of Food and Drug Analysis
Abstract: 
In this study, we developed a novel analysis method based on liquid chromatography/tandem mass spectrometry (LC–MS/MS) to allow the simultaneous identification of 20 coccidiostats in eight matrix categories, including the muscles of chicken, swine, cow, and fish as well as chicken eggs, bovine milk, and porcine viscera. In the pretreatment procedure, acetonitrile/methanol (95:5, v/v) containing 1% formic acid, 5 g of sodium acetate, and 6.0 g of anhydrous magnesium sulfate was used for extraction, followed by a clean-up procedure using n-hexane saturated with ACN to facilitate the elimination of analytes from high lipid samples. Chromatographic separations were achieved using a Poroshell 120SB C18 column and operated with a gradient mobile phase system consisting of methanol (with 0.1% formic acid) and 5 mM ammonium formate, and the MS detection was monitored simultaneously. The method was validated in accordance with the Guidelines for the Validation of Food Chemical Methods by the Taiwan Food and Drug Administration. The limit of quantitation among 8 matrices were 0.5–2 ng g−1. The proposed method proved highly effective in detecting the presence of targeted veterinary drugs, providing a high degree of precision and accuracy over a broad range of matrices.
URI: http://scholars.ntou.edu.tw/handle/123456789/5057
ISSN: 1021-9498
DOI: 10.1016/j.jfda.2019.02.004
Appears in Collections:食品安全與風險管理研究所

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