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基于悬浮液滴固化的分散液相微萃取-HPLC 法测定谷物中三种唑菌胺酯类杀菌剂

Dispersive liquid-liquid microextraction based on the solidification of floating organic droplets for HPLC determination of three strobilurin fungicides in cereals.

机构信息

College of Food Science and Engineering, Shanxi Agricultural University , Taigu, Shanxi, P.R. China.

Faculty of Veterinary and Agricultural Sciences, The University of Melbourne , Parkville, Australia.

出版信息

Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2020 Aug;37(8):1279-1288. doi: 10.1080/19440049.2020.1758349. Epub 2020 May 21.

Abstract

In this paper, a dispersive liquid-liquid microextraction method based on the solidification of floating organic droplets, combined with high-performance liquid chromatography (DLLME-SFOD-HPLC), was developed for the detection of strobilurin fungicides (azoxystrobin, pyraclostrobin, and trifloxystrobin) in cereals. Natural fatty acids were used as an extractant and have low toxicity, density, and freezing point. The extractant nonanoic acid was evenly dispersed as droplets in sample solution and was then solidified in the upper layer of sample solution after centrifugation and ice bath, which improved the extraction and collection efficiency. The dispersive liquid-liquid microextraction procedure was optimised by univariate analysis and the Box-Behnken response surface methodology. Optimum conditions were as follows: the volume of nonanoic acid was 82 μL, the volume of acetonitrile was 620 μL, and the amount of salt was 256 mg. Under optimised conditions, the method had good linearity with a correlation coefficient higher than 0.997, and the limit of detection was 2.57-4.87 μg kg. The recoveries of azoxystrobin, pyraclostrobin, and trifloxystrobin in rice, corn, and wheat were 82.0%-93.2%, and the relative standard deviations were 1.6%-7.4%. Therefore, the method was successfully applied to detect target fungicides in cereals.

摘要

本文建立了一种基于分散液-液微萃取-固相萃取(DLLME-SFOD)的高效液相色谱法,用于检测谷物中的唑菌胺酯、吡唑醚菌酯和三氟苯唑菌胺三种啶酰菌胺类杀菌剂。该方法使用天然脂肪酸作为萃取剂,具有低毒性、低比重和低凝固点等优点。萃取剂壬酸均匀分散在样品溶液中,离心和冰浴后在上层样品溶液中凝固,提高了萃取和收集效率。通过单因素分析和 Box-Behnken 响应面法对分散液-液微萃取程序进行了优化。最佳条件为:壬酸体积 82 μL,乙腈体积 620 μL,盐用量 256 mg。在最佳条件下,方法具有良好的线性关系,相关系数均高于 0.997,检出限为 2.57-4.87 μg kg。在水稻、玉米和小麦中,唑菌胺酯、吡唑醚菌酯和三氟苯唑菌胺的回收率为 82.0%-93.2%,相对标准偏差为 1.6%-7.4%。因此,该方法成功应用于谷物中目标杀菌剂的检测。

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