Center of Analytical Services and Experimentation (CASE), Ho Chi Minh City, Viet Nam; Laboratoire de Chimie Agro-industrielle, LCA, Université de Toulouse, INRAE, Toulouse, France.
Laboratoire de Chimie Agro-industrielle, LCA, Université de Toulouse, INRAE, Toulouse, France.
Food Chem. 2022 Feb 15;370:130986. doi: 10.1016/j.foodchem.2021.130986. Epub 2021 Aug 31.
Analytical methods with high sensitivity and accuracy were successfully validated for the quantification of 397 pesticides in different types of tea. For the UPLC-MS/MS method, 191 pesticides of 200 ones in total had "soft" matrix effects and could be quantified by calibration curves in the solvent. For the GC-MS/MS method, matrix-matched calibration curves were established on a mixed blank including white, green, oolong and black organic teas. The method limit of quantifications ranged from 1.0 µg kg to 10 µg kg (UPLC-MS/MS) and 1.0 µg kg to 50 µg kg (GC-MS/MS), with 70-120% of recovery. These methods was subsequently applied to 106 tea samples from several origins, in which 26 samples contained at least one pesticide violation, with a total of 43 pesticide residue violations. The most frequently detected pesticides were neonicotinoids, synthetic pyrethroids, and triazole fungicides. Taiwan had the most pesticide-contaminated samples followed by China, Vietnam, and India.
成功验证了高灵敏度和准确性的分析方法,可用于定量分析不同类型茶中的 397 种农药。对于 UPLC-MS/MS 方法,200 种农药中有 191 种具有“软”基质效应,可以通过溶剂中的校准曲线进行定量。对于 GC-MS/MS 方法,建立了包含白茶、绿茶、乌龙茶和黑茶的混合空白基质匹配校准曲线。方法的定量限范围为 1.0μg/kg 至 10μg/kg(UPLC-MS/MS)和 1.0μg/kg 至 50μg/kg(GC-MS/MS),回收率为 70-120%。这些方法随后应用于来自多个产地的 106 个茶叶样本,其中 26 个样本至少含有一种农药违规,总共存在 43 种农药残留违规。检测到的最常见农药为新烟碱类、合成拟除虫菊酯和三唑类杀菌剂。受农药污染的样本最多的是台湾,其次是中国、越南和印度。