Determination of 105 antibiotic, anti-inflammatory, antiparasitic agents and tranquilizers by LC-MS/MS based on an acidic QuEChERS-like extraction.

消炎药 液相色谱-质谱法 药理学 固相萃取
作者
Aurélien Desmarchelier,Kaïli Fan,Mai Minh Tien,Marie-Claude Savoy,Adrienne Tarres,Denis Fuger,Alexandre Goyon,Thomas Bessaire,Pascal Mottier
出处
期刊:Food Additives and Contaminants Part A-chemistry Analysis Control Exposure & Risk Assessment 卷期号:35 (4): 646-660 被引量:28
标识
DOI:10.1080/19440049.2018.1429677
摘要

A procedure for screening 105 veterinary drugs in foods by liquid chromatography tandem mass-spectrometry (LC-MS/MS) is presented. Its scope encompasses raw materials of animal origin (milk, meat, fish, egg and fat) but also related processed ingredients and finished products commonly used and manufactured by food business operators. Due to the complexity of the matrices considered and to efficiently deal with losses during extraction and matrix effects during MS source ionisation, each sample was analysed twice, that is 'unspiked' and 'spiked at the screening target concentration' using a QuEChERS-like extraction. The entire procedure was validated according to the European Community Reference Laboratories Residues Guidelines. False-negative and false-positive rates were below 5% for all veterinary drugs whatever the food matrix. Effectiveness of the procedure was further demonstrated through participation to five proficiency tests and its ruggedness demonstrated in quality control operations by a second laboratory.
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
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
刚刚
zt发布了新的文献求助10
1秒前
丘比特应助科研通管家采纳,获得10
1秒前
所所应助科研通管家采纳,获得10
2秒前
桐桐应助科研通管家采纳,获得10
2秒前
田様应助科研通管家采纳,获得10
2秒前
所所应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
23发布了新的文献求助10
2秒前
飘逸问薇发布了新的文献求助10
4秒前
俭朴映阳发布了新的文献求助10
5秒前
8秒前
思源应助yjia采纳,获得10
9秒前
木森ab发布了新的文献求助10
9秒前
隐形曼青应助芒果布丁采纳,获得10
9秒前
10秒前
12秒前
zt完成签到,获得积分20
12秒前
23完成签到,获得积分10
14秒前
倦鸟归林发布了新的文献求助10
14秒前
小王完成签到,获得积分10
18秒前
欣欣完成签到,获得积分10
19秒前
Churchill87426完成签到,获得积分10
19秒前
19秒前
20秒前
研友_VZG7GZ应助木森ab采纳,获得10
21秒前
23秒前
26秒前
林钟完成签到,获得积分10
26秒前
28秒前
31秒前
N0V1CE发布了新的文献求助10
31秒前
dch完成签到,获得积分10
31秒前
33秒前
所以发布了新的文献求助10
34秒前
优美元枫完成签到,获得积分10
35秒前
暴躁的嘉懿完成签到,获得积分10
40秒前
大个应助咸鱼想翻身采纳,获得10
42秒前
hs完成签到,获得积分10
43秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3741439
求助须知:如何正确求助?哪些是违规求助? 3284100
关于积分的说明 10038416
捐赠科研通 3000937
什么是DOI,文献DOI怎么找? 1646889
邀请新用户注册赠送积分活动 783919
科研通“疑难数据库(出版商)”最低求助积分说明 750478