Chemistry Department, Science Faculty, Universidad Nacional de Colombia, Bogotá, Colombia.
Chemistry Department, Science Faculty, Universidad Nacional de Colombia, Bogotá, Colombia.
Food Chem. 2022 Jan 15;367:130714. doi: 10.1016/j.foodchem.2021.130714. Epub 2021 Jul 28.
The following qualitative screening and quantitative determination of 201 pesticides present a detailed optimization making use of design of experiments (DoE). The post-targeted screening took advantage of an upgradeable database to extend the survey further to perform a standard-free novel quantitation by liquid chromatography high resolution mass spectrometry (LC-HRMS). The fine tuning of instrumental parameters allowed the best method selectivity, sensitivity and reproducibility for the compounds under study. Among the factors considered, the heated electrospray source (HESI), the sample composition and the MS/MS acquisition modes were assessed, including the all-ion fragmentation (AIF) mode and different versions of the variable data independent acquisition (vDIA). The results of the optimization showed that selected HESI conditions, a methanol/water (1:1) sample composition and a vDIA acquisition method increased the signal for most compounds with a remarkable benefit on signal shape and intensity. The method showed adequate analytical performance when assessed in local produce.
以下是 201 种农药的定性筛选和定量测定,详细优化采用了实验设计(DoE)。目标后筛选利用可升级数据库进一步扩展调查,通过液相色谱高分辨率质谱(LC-HRMS)进行无标准的新型定量分析。仪器参数的微调允许对研究中的化合物具有最佳的方法选择性、灵敏度和重现性。在所考虑的因素中,评估了加热电喷雾源(HESI)、样品组成和 MS/MS 采集模式,包括全离子碎裂(AIF)模式和可变数据独立采集(vDIA)的不同版本。优化结果表明,选择的 HESI 条件、甲醇/水(1:1)的样品组成和 vDIA 采集方法增加了大多数化合物的信号,显著改善了信号形状和强度。该方法在当地农产品评估中表现出足够的分析性能。