Multi-residue method for the analysis of 101 pesticides and their degradates in food and water samples by liquid chromatography/time-of-flight mass spectrometry

被引:189
作者
Ferrer, Imma [1 ]
Thurman, E. Michael
机构
[1] Univ Almeria, Dept Analyt Chem, Almeria, Spain
[2] Univ Colorado, Boulder, CO 80309 USA
关键词
liquid chromatography/mass spectrometry; time-of-flight; environmental samples; pesticides;
D O I
10.1016/j.chroma.2007.09.092
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
A comprehensive multi-residue method for the chromatographic separation and accurate mass identification of 101 pesticides and their degradation products using liquid chromatography/time-of- flight mass spectrometry (LC/TOF-MS) is reported here. Several classes of compounds belonging to different chemical families (triazines, organophosphorous, carbamates, phenylureas, neonicotinoids, etc.) were carefully chosen to cover a wide range of applications in the environmental field. Excellent chromatographic separation was achieved by the use of narrow accurate mass windows (0.05Da) in a 30min interval. Accurate mass measurements were always below 2ppm error for all the pesticides studied. A table compiling the accurate masses for 101 compounds together with the accurate mass of several fragment ions is included. At least the accurate mass for one main fragment ion for each pesticide was obtained to achieve the minimum of identification points according to the 2002/657/EC European Decision, thus fulfilling the EU point system requirement for identification of contaminants in samples. The method was validated with vegetable samples. Calibration curves were linear and covered two orders of magnitude (from 5 to 500 mu g/L) for most of the compounds studied. Instrument detection limits (LODs) ranged from 0.04 to 150 mu g/kg samples. The methodology was successfully applied to the analysis of vegetable and water samples containing pesticides and their degradation products. This paper serves as a guide for those working in the analytical field of pesticides, as well as a powerful tool for finding non-targets and unknowns in environmental samples that have not been previously included in any of the routine target multi-residue methods. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:24 / 37
页数:14
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