Parrilla Vázquez P, Hakme E, Uclés S, Cutillas V, Martínez Galera M, Mughari A R, Fernández-Alba A R
Agrifood Campus of International Excellence (ceiA3), European Union Reference Laboratory for Pesticide Residues in Fruit & Vegetables, Department of Chemistry and Physics, University of Almeria, La Cañada de San Urbano, 04120 Almería, Spain.
Agrifood Campus of International Excellence (ceiA3), European Union Reference Laboratory for Pesticide Residues in Fruit & Vegetables, Department of Chemistry and Physics, University of Almeria, La Cañada de San Urbano, 04120 Almería, Spain.
J Chromatogr A. 2016 Sep 9;1463:20-31. doi: 10.1016/j.chroma.2016.08.008. Epub 2016 Aug 4.
The aim of this research was to adapt the QuEChERS method for routine pesticide multiresidue analysis in edible vegetable oil samples using gas chromatography coupled to tandem mass spectrometry (GC-MS/MS). Several clean-up approaches were tested: (a) D-SPE with Enhanced Matrix Removal-Lipid (EMR-Lipid™); (b) D-SPE with PSA; (c) D-SPE with Z-Sep; (d) SPE with Z-Sep. Clean-up methods were evaluated in terms of fat removal from the extracts, recoveries and extraction precision for 213 pesticides in different matrices (soybean, sunflower and extra-virgin olive oil). The QuEChERS protocol with EMR-Lipid d-SPE provided the best reduction of co-extracted matrix compounds with the highest number of pesticides exhibiting mean recoveries in the 70-120% range, and the lowest relative standard deviations values (4% on average). A simple and rapid (only 5min) freeze-out step with dry ice (CO2 at -76°C) prior to d-SPE clean-up ensured much better removal of co-extracted matrix compounds in compliance of the necessity in routine analysis. Procedural Standard Calibration was established in order to compensate for recovery losses of certain pesticides and possible matrix effects. Limits of quantification were 10μgkg(-1) for the majority of the pesticides. The modified methodology was applied for the analysis of different 17 oil samples. Fourteen pesticides were detected with values lower than MRLs and their concentration ranged between 10.2 and 156.0μgkg(-1).
本研究的目的是采用气相色谱-串联质谱联用(GC-MS/MS)技术,对QuEChERS方法进行调整,以用于食用植物油样品中农药多残留的常规分析。测试了几种净化方法:(a)使用增强型基质去除-脂质(EMR-Lipid™)的分散固相萃取(D-SPE);(b)使用乙二胺-N-丙基硅烷(PSA)的D-SPE;(c)使用Z-Sep的D-SPE;(d)使用Z-Sep的固相萃取(SPE)。根据不同基质(大豆油、葵花籽油和特级初榨橄榄油)中213种农药的提取物脂肪去除率、回收率和提取精密度对净化方法进行了评估。采用EMR-Lipid D-SPE的QuEChERS方案能最佳地减少共萃取的基质化合物,大多数农药的平均回收率在70%-120%范围内,相对标准偏差值最低(平均4%)。在D-SPE净化之前,用干冰(-76°C的二氧化碳)进行简单快速(仅5分钟)的冷冻步骤,确保了更好地去除共萃取的基质化合物,符合常规分析的要求。建立了程序标准校准,以补偿某些农药的回收率损失和可能的基质效应。大多数农药的定量限为10μgkg⁻¹。将改进后的方法应用于17个不同油样的分析。检测到14种农药,其值低于最大残留限量,浓度范围在10.2至156.0μgkg⁻¹之间。