已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Screening of 154 Veterinary Drug Residues in Foods of Animal Origin Using LC–MS/MS: First Action 2020.04

兽药 兽药 药品 液相色谱-质谱法 色谱法 化学 药理学 医学 质谱法
作者
Aurélien Desmarchelier,Thomas Bessaire,Marie-Claude Savoy,Adrienne Tarres,Claudia Mujahid,Andrea Beck,Pascal Mottier,Thierry Delatour
出处
期刊:Journal of AOAC International [Oxford University Press]
卷期号:104 (3): 650-681 被引量:8
标识
DOI:10.1093/jaoacint/qsaa168
摘要

Abstract Background Veterinary drug residues in food are substances (>200 compounds) exhibiting potential health risks for consumers, thus being regulated in national legislations and the Codex Alimentarius. Most of the compounds are regulated based upon a maximum residue limit (MRL) while a few of them are banned in food for humans. The food sector needs a reliable and consensus analytical platform able to monitor these substances in a wide range of food commodities. Objective Several confirmatory methods based on liquid chromatography-mass spectrometry are available in the literature for either screening or quantification of veterinary drug residues in food, but usually applicable to limited scope of matrices. The current work describes the single-laboratory validation (SLV) of a method for screening 154 veterinary drug residues in several food categories. Methods This work describes a streamlined platform making use of liquid chromatography-tandem mass spectrometry (LC-MS/MS) for screening 105 antibiotics, 41 antiparasitics, 5anti-inflammatory agents, and 3 tranquilizers in foods of animal origin. For the best performance across the commodities (dairy-, meat-, fish-, and egg-based materials), four method streams were established. As a screening tool, probabilities of detection (PODs) were assessed at the screening target concentration (STC < MRL) and the blank. Results The SLV led to PODs at the STC >94% and PODs in the blank < 4%. Conclusion Performance is in agreement with the acceptance criteria defined in SMPR 2018.010. Highlights The Expert Review Panel approved the present method as AOAC Official First Action 2020.04.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
思源应助科研通管家采纳,获得10
1秒前
科研通AI2S应助科研通管家采纳,获得10
1秒前
1秒前
bkagyin应助科研通管家采纳,获得10
1秒前
烟花应助科研通管家采纳,获得10
1秒前
汉堡包应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
Orange应助65146采纳,获得10
2秒前
zhao完成签到 ,获得积分10
2秒前
能干的语芙完成签到 ,获得积分10
6秒前
宇宇完成签到 ,获得积分10
10秒前
在水一方应助乐生采纳,获得10
11秒前
14秒前
朝气完成签到,获得积分10
14秒前
ldzjiao完成签到 ,获得积分10
14秒前
兰月满楼完成签到 ,获得积分10
16秒前
sowhat完成签到 ,获得积分10
17秒前
缓慢冬莲发布了新的文献求助10
19秒前
可可发布了新的文献求助10
20秒前
brwen完成签到,获得积分10
21秒前
32秒前
黄同学完成签到 ,获得积分10
38秒前
w5566完成签到 ,获得积分10
39秒前
42秒前
虚心的惮完成签到 ,获得积分10
46秒前
木木木完成签到 ,获得积分10
47秒前
48秒前
轻松元绿完成签到 ,获得积分10
48秒前
研友_ZG4ml8完成签到 ,获得积分10
49秒前
65146发布了新的文献求助10
51秒前
李健应助WHL采纳,获得10
54秒前
可可完成签到,获得积分10
56秒前
ss完成签到,获得积分10
1分钟前
热舞特完成签到,获得积分10
1分钟前
1分钟前
1分钟前
DH完成签到 ,获得积分10
1分钟前
不羡江中仙完成签到 ,获得积分10
1分钟前
瞬间de回眸完成签到 ,获得积分10
1分钟前
高分求助中
Biology and Ecology of Atlantic Cod 1500
LNG地下式貯槽指針(JGA指-107-19)(Recommended practice for LNG inground storage) 1000
Second Language Writing (2nd Edition) by Ken Hyland, 2019 1000
Generalized Linear Mixed Models 第二版 1000
rhetoric, logic and argumentation: a guide to student writers 1000
QMS18Ed2 | process management. 2nd ed 1000
Eric Dunning and the Sociology of Sport 850
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 电极
热门帖子
关注 科研通微信公众号,转发送积分 2921922
求助须知:如何正确求助?哪些是违规求助? 2565140
关于积分的说明 6937016
捐赠科研通 2222049
什么是DOI,文献DOI怎么找? 1181317
版权声明 588801
科研通“疑难数据库(出版商)”最低求助积分说明 577913