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采用 UHPLC/ESI Q-Orbitrap 多重数据非依赖性采集法对牛奶中的 105 种兽药残留进行靶向筛查。

Target screening of 105 veterinary drug residues in milk using UHPLC/ESI Q-Orbitrap multiplexing data independent acquisition.

机构信息

Calgary Laboratory, Canadian Food Inspection Agency, 3650-36th Street N.W, Calgary, Alberta, T2L 2L1, Canada.

ThermoFisher Scientific, 355 River Oaks Parkway, San Jose, CA, 95134, USA.

出版信息

Anal Bioanal Chem. 2018 Sep;410(22):5373-5389. doi: 10.1007/s00216-017-0847-z. Epub 2018 Feb 5.

DOI:10.1007/s00216-017-0847-z
PMID:29404665
Abstract

This paper presents a multi-class target screening method for the detection of 105 veterinary drug residues from 11 classes in milk using ultra-high performance liquid chromatography electrospray ionization quadrupole Orbitrap mass spectrometry (UHPLC/ESI Q-Orbitrap). The method is based on a non-target approach of full mass scan and multiplexing data-independent acquisition (Full MS/mDIA). The veterinary drugs include endectocides, fluoroquinolones, ionophores, macrolides, nitroimidazole, NSAIDs, β-lactams, penicillins, phenicols, sulfonamides, and tetracyclines. Veterinary drug residues were extracted from milk using a salting-out and solid-phase extraction (SOSPE) procedure, which entailed the precipitation of milk proteins by an extraction buffer (oxalic acid and EDTA, pH 3) and acetonitrile, a salting-out acetonitrile/water phase separation using ammonium sulfate, and solid-phase extraction for clean-up using polymeric reversed-phase sorbent cartridges. The Q-Orbitrap Full MS/dd-MS (data-dependent acquisition) was used to acquire product-ion spectra of individual veterinary drugs to build a compound database and a mass spectral library, whereas its Full MS/mDIA was utilized to acquire sample data from milk for target screening of veterinary drugs fortified at 1.0 or 10.0 μg/kg. The in-spectrum mass correction or solvent background lock-mass correction was used to minimize mass error when building the compound database from experimental dd-MS accurate mass data. Retention time alignment and response threshold adjustment were used to eliminate or reduce false negatives and/or false positive rates. The validated method was capable of screening 58% and 96% of 105 veterinary drugs at 1.0 and 10.0 μg/kg, respectively, without manually evaluating every compound during data processing, which will reduce the workload in routine practice.

摘要

本文提出了一种使用超高效液相色谱电喷雾电离四极杆轨道阱质谱(UHPLC/ESI Q-Orbitrap)检测牛奶中 11 类 105 种兽药残留的多类别目标筛选方法。该方法基于全质量扫描和多路复用数据非依赖性采集(Full MS/mDIA)的非靶向方法。兽药包括驱虫药、氟喹诺酮类、离子载体、大环内酯类、硝基咪唑类、非甾体抗炎药、β-内酰胺类、青霉素类、苯氧羧酸类、磺胺类和四环素类。兽药残留采用盐析和固相萃取(SOSPE)程序从牛奶中提取,该程序通过提取缓冲液(草酸和 EDTA,pH 3)和乙腈沉淀牛奶蛋白,使用硫酸铵进行盐析乙腈/水相分离,以及使用聚合物反相固相萃取小柱进行净化。Q-Orbitrap Full MS/dd-MS(数据依赖性采集)用于获取单个兽药的产物离子谱,以构建化合物数据库和质谱库,而其 Full MS/mDIA 则用于从牛奶中获取样品数据,以对添加 1.0 或 10.0 μg/kg 的兽药进行目标筛选。在从实验 dd-MS 精确质量数据构建化合物数据库时,使用谱内质量校正或溶剂背景锁定质量校正来最小化质量误差。保留时间对齐和响应阈值调整用于消除或减少假阴性和/或假阳性率。经验证,该方法在不手动评估数据处理过程中每个化合物的情况下,能够分别以 1.0 和 10.0 μg/kg 的浓度筛查 105 种兽药中的 58%和 96%,这将减少常规实践中的工作量。

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