引用本文
  •    [点击复制]
  •    [点击复制]
【打印本页】 【下载PDF全文】 查看/发表评论下载PDF阅读器关闭

←前一篇|后一篇→

过刊浏览    高级检索

本文已被:浏览 2103次   下载 1 本文二维码信息
码上扫一扫!
UPLC-MS/MS法测定肠衣中四种硝基呋喃类代谢物残留量
刘红卫
0
(甘肃出入境检验检疫局)
摘要:
采用超高效液相色谱-串联四极杆质谱,电喷雾电离(正离子模式),对肠衣中四种硝基呋喃类代谢物残留量进行定性定量。试样用甲醇、水脱脂去除部分杂质后,经Oasis HLB固相萃取小柱富集净化后,经Waters ACQUITY UPLCTM BEH C18色谱柱分离,以0.3%乙酸乙腈溶液和和0.3%乙酸水溶液为流动相,梯度洗脱。在多反应监测模式下以保留时间和离子对(母离子和两个子离子)信息比较进行定性,以响应值高的子离子进行定量。该法的检出限为0.2~0.5μg / kg,加标回收率为86%~97%,相对标准偏差小于10%。
关键词:  超高效液相色谱-串联质谱法  硝基呋喃类代谢物  残留  肠衣
DOI:
投稿时间:2008-07-01修订日期:2008-08-13
基金项目:
Determination of Metabolites of Nitrofurans Residues in Casing by Ultra Performance Liquid Chromatography-Electrospray Tandem Mass Spectrometry
liuhongwei
(Gansu Entry & Exit Inspection and Quarantine Bureau)
Abstract:
A comprehensive analytical method based on ultra performance liquid chromatography - electrospray ionization mass spectrometry (UPLC-MS /MS) with positive mode has been developed for the determination of metabolites of nitrofurans residues in casing. The multi-reaction monitoring mode was employed for the determination. Casing samples were defatted and preliminary purified with methanole and water, and then hydrolyzed with hydrochloric acid and derived with 2-NBA at 37℃ for 16 hours. Sample solutions was concentrated and purified by Oasis HLB solid phase extraction cartridges. The separation was performed on a Waters ACQUITY UPLCTM BEH C18(1.7μm,2.1 mm×50 mm)column with gradient elution using 0.3% acetic acid acetonitrile and 0.3% acetic acid water at a flow rate of 0.4mL/min. Identification of metabolites of nitrofurans was done using the retention times and the distribution of diagnostic ion pairs; the precursor/product ion transitions were monitored. Quantification of the metabolites of nitrofurans by the peak areas of higher signal precursor/product ion .The limits of detection (LOD) of the method was 0.2~0.5μg/kg .The recoveries were between 86%~97%. The relative standard deviations were below 10%.
Key words:  UPLC-MS /MS  metabolites of nitrofurans  residues  casing

用微信扫一扫

用微信扫一扫