Method optimization for a simultaneous determination of neonicotinoid, carbamate/thiocarbamate, triazole, organophosphate and pyrethroid pesticides and their metabolites in urine using UPLC-MS/MS

被引:7
作者
Bustamante, Carolina M. [1 ,2 ]
Bravo, Natalia [1 ]
Ruiz, Paula [1 ]
Grimalt, Joan O. [1 ]
Gari, Merce [1 ]
机构
[1] CSIC, Inst Environm Assessment & Water Res IDAEA, Barcelona, Catalonia, Spain
[2] Univ Barcelona UB, Fac Chem, Barcelona, Catalonia, Spain
基金
欧盟地平线“2020”;
关键词
Human biomonitoring; Neonicotinoid pesticides; Method optimization; UPLC-MS/MS; Urinary metabolites;
D O I
10.1016/j.chroma.2024.465054
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
An accurate and sensitive method for the determination of a total of 23 pesticides and their metabolites in human urine has been optimised. The methodology is based on a previously published method based on solid-phase extraction with methanol and acetone followed by ultra-performance liquid chromatography coupled to tandem mass spectrometry (UPLC-MS/MS) in the selected reaction mode (SRM) with both positive and negative electrospray ionization (ESI+/-). The detection settings of the previous method, which allowed to determine the metabolites from 6 organophosphate and 2 pyrethroid pesticides, were optimised in order to include further pesticide groups, such as 11 neonicotinoids, 3 carbamates/thiocarbamates and 2 triazoles. The 5-windows method enduring 22 min was optimized with acceptable results in relation to accuracy (recoveries >75 %), precision (coefficients of variation <26 %) and linearity (R-2> 0.9915). The limits of detection ranged between 0.012 ng/mL and 0.058 ng/mL. Samples from the German External Quality Assessment Scheme (G-EQUAS) encompassing 2 pyrethroids, 2 organophosphate and one neonicotinoid (6-chloronicotinic acid, a common metabolite of imidacloprid and acetamiprid) were analysed, and the latter, included in this newest optimization, provided good reference results. The method is optimal as a human biomonitoring tool for health risk assessment in large population surveys.
引用
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页数:6
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