Key Laboratory of Natural Pesticide and Chemical Biology, Ministry of Agriculture & Key Laboratory of Bio-Pesticide Innovation and Application of Guangdong Province, South China Agricultural University, Wushan Road 483, Guangzhou 510642, China.
Shenzhen Noposion Agrochemical Co. Ltd., Shenzhen 510640, Guangdong, China.
Molecules. 2019 Mar 15;24(6):1029. doi: 10.3390/molecules24061029.
A method for detecting the organophosphorus pesticides residue and aflatoxins in China herbal tea has been developed by UPLC-MS/MS coupled with vortex-assisted dispersive liquid-liquid microextraction (DLLME). The extraction conditions for vortex-assisted DLLME extraction were optimized using single-factor experiments and response surface design. The optimum conditions for the experiment were the pH 5.1, 347 µL of chloroform (extraction solvent) and 1614 µL of acetonitrile (dispersive solvent). Under the optimum conditions, the targets were good linearity in the range of 0.1 µg/L⁻25 µg/L and the correlation coefficient above 0.9998. The mean recoveries of all analytes were in the ranged from 70.06%⁻115.65% with RSDs below 8.54%. The detection limits were in the range of 0.001 µg/L⁻0.01µg/L. The proposed method is a fast and effective sample preparation with good enrichment and extraction efficiency, which can simultaneously detect pesticides and aflatoxins in China herbal tea.
建立了超高效液相色谱-串联质谱法(UPLC-MS/MS)结合涡流辅助分散液液微萃取(DLLME)测定中草药中有机磷农药残留和黄曲霉毒素的方法。通过单因素实验和响应面设计对涡流辅助 DLLME 萃取的萃取条件进行了优化。实验的最佳条件为 pH 值为 5.1,347µL 氯仿(萃取溶剂)和 1614µL 乙腈(分散溶剂)。在最佳条件下,目标物在 0.1µg/L⁻25µg/L 范围内呈良好的线性关系,相关系数均大于 0.9998。所有分析物的平均回收率在 70.06%⁻115.65%之间,相对标准偏差(RSD)低于 8.54%。检测限在 0.001µg/L⁻0.01µg/L 范围内。该方法是一种快速有效的样品前处理方法,具有良好的富集和提取效率,可同时检测中草药中的农药和黄曲霉毒素。