Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China.
Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China.
J Chromatogr B Analyt Technol Biomed Life Sci. 2020 Sep 1;1152:122261. doi: 10.1016/j.jchromb.2020.122261. Epub 2020 Jul 10.
In this study, a simple, sensitive and efficient analytical method was developed and validated for the determination of 11 fungicides in grape, potato, rice, corn, wheat and soybean using ultra-performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS). The fungicides were extracted using acetonitrile, and then the extracts were cleaned up using primary secondary amine (PSA), octadecylsilane (C18) and graphitized carbon black (GCB). Method validation displayed acceptable linearities for all pesticides (R greater than 0.99). The calculated limits of detection and quantification were 1 μg kg and 10 μg kg in different matrices, respectively. It was necessary to employ matrix-matched standards for correct quantification of these fungicides in all matrices. Acceptable recoveries (75.7-104.2%) were obtained for all the target compounds with good intra-day and inter-day precisions (RSD ≤ 11.9%). The results indicated that the method is reliable for detecting these fungicides in various foods.
本研究建立了一种使用超高效液相色谱-串联质谱（UHPLC-MS/MS）测定葡萄、土豆、大米、玉米、小麦和大豆中 11 种杀菌剂的简单、灵敏、高效的分析方法。杀菌剂用乙腈提取，然后用初级二级胺（PSA）、十八烷基硅烷（C18）和石墨化炭黑（GCB）进行净化。方法验证显示所有农药（R 均大于 0.99）均具有良好的线性关系。在不同基质中，计算出的检测限和定量限分别为 1μg/kg 和 10μg/kg。在所有基质中正确定量这些杀菌剂，均需要使用基质匹配标准。所有目标化合物的回收率均在 75.7-104.2%之间，日内和日间精密度良好（RSD≤11.9%）。结果表明，该方法可用于检测各种食品中的这些杀菌剂。
