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采用湍流色谱自动萃取结合液相色谱-串联质谱法对蜂蜜中的16种(氟)喹诺酮类药物进行定量高通量分析。

Quantitative high-throughput analysis of 16 (fluoro)quinolones in honey using automated extraction by turbulent flow chromatography coupled to liquid chromatography-tandem mass spectrometry.

作者信息

Mottier Pascal, Hammel Yves-Alexis, Gremaud Eric, Guy Philippe A

机构信息

Nestlé Research Center, Nestec Ltd, Vers-chez-les-Blanc, 1000 Lausanne 26, Switzerland.

出版信息

J Agric Food Chem. 2008 Jan 9;56(1):35-43. doi: 10.1021/jf072934d. Epub 2007 Dec 14.

Abstract

A method making use of turbulent flow chromatography automated online extraction with tandem mass spectrometry (MS/MS) was developed for the analysis of 4 quinolones and 12 fluoroquinolones in honey. The manual sample preparation was limited to a simple dilution of the honey test portion in water followed by a filtration. The extract was online purified on a large particle size extraction column where the sample matrix was washed away while the analytes were retained. Subsequently, the analytes were eluted from the extraction column onto an analytical column by means of an organic solvent prior to chromatographic separation and MS detection. Validation was performed at three fortification levels (i.e., 5, 20, and 50 microg/kg) in three different honeys (acacia, multiflower, and forest) using the single-point calibration procedure by means of either a 10 or 25 microg/kg calibrant. Good recovery (85-127%, median 101%) as well as within-day (2-18%, median 6%) and between-day (2-42%, median 9%) precision values was obtained whatever the level of fortification and the analyte surveyed. Due to the complexity of the honey matrix and the large variation of the MS/MS transition reaction signals, which were honey-dependent, the limit of quantification for all compounds was arbitrarily set at the lowest fortification level considered during the validation, e.g., 5 microg/kg. This method has been successfully applied in a minisurvey of 34 honeys, showing ciprofloxacin and norfloxacin as the main (fluoro)quinolone antibiotics administered to treat bacterial diseases of bees. Turbulent flow chromatography coupled to LC-MS/MS showed a strong potential as an alternative method compared to those making use of offline sample preparation, in terms of both increasing the analysis throughput and obtaining higher reproducibility linked to automation to ensure the absence of contaminants in honey samples.

摘要

建立了一种利用湍流色谱自动在线萃取结合串联质谱(MS/MS)分析蜂蜜中4种喹诺酮类和12种氟喹诺酮类药物的方法。手动样品制备仅限于将蜂蜜测试部分简单稀释于水中,然后过滤。提取物在大粒径萃取柱上进行在线净化,在此过程中,样品基质被洗去,而分析物被保留。随后,在进行色谱分离和质谱检测之前,通过有机溶剂将分析物从萃取柱洗脱至分析柱上。采用单点校准程序,使用10或25μg/kg校准物,在三种不同的蜂蜜(刺槐蜜、多花蜜和森林蜜)中的三个加标水平(即5、20和50μg/kg)下进行了方法验证。无论加标水平和所检测的分析物如何,均获得了良好的回收率(85-127%,中位数为101%)以及日内精密度(2-18%,中位数为6%)和日间精密度(2-42%,中位数为9%)。由于蜂蜜基质的复杂性以及MS/MS跃迁反应信号随蜂蜜不同而有很大变化,所有化合物的定量限被任意设定为验证过程中考虑的最低加标水平,例如5μg/kg。该方法已成功应用于对34种蜂蜜的小型调查,结果表明环丙沙星和诺氟沙星是用于治疗蜜蜂细菌性疾病的主要(氟)喹诺酮类抗生素。与使用离线样品制备的方法相比,湍流色谱与液相色谱-串联质谱联用在提高分析通量以及通过自动化获得更高的重现性以确保蜂蜜样品中无污染物方面显示出强大的潜力。

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