Suppr超能文献

分散液液微萃取结合气相色谱-质谱法测定鱼塘水中的五种硫丹类农药

Determination of five endosulfan pesticides in the fish pond water by dispersive liquid-liquid microextraction combined with GC-MS.

作者信息

Xu Fangmin, Liu Lingyun, Wei Wanli, Xu Ruolun

机构信息

Institute of Forensic Science, Public Security Bureau of Jiangyin, Jiangyin, China.

Institute of Forensic Science, Public Security Bureau of Wuxi, Wuxi, China.

出版信息

Forensic Sci Res. 2017 Jan 30;2(1):40-45. doi: 10.1080/20961790.2016.1278111. eCollection 2017.

Abstract

A simple and rapid dispersive liquid-liquid microextraction (DLLME) technique coupled with gas chromatography-ion trap mass spectrometry (GC-MS) was developed for the extraction and analysis of five endosulfan pesticides from the fish pond water. In this work, different parameters affecting the extraction process such as the type and volume of extraction solvent, type and volume of disperser solvent, and extraction time were studied and optimized. Under optimized conditions, the enrichment factor ranged from 189 to 269 and the relative recovery ranged from 88.5% to 94.9%. The linear range was 2.0-80.0 µg/L; the limits of detection and quantitation were in the range 0.04-1.06 µg/L and 0.12-3.53 µg/L, respectively. The relative standard deviations were in the range 0.94%-2.08% ( = 5). The obtained results show that DLLME combined with GC-MS is a fast and simple method for the determination of endosulfan pesticides in fish pond water.

摘要

建立了一种简单快速的分散液液微萃取(DLLME)技术与气相色谱-离子阱质谱(GC-MS)联用的方法,用于从鱼塘水中萃取和分析5种硫丹农药。在这项工作中,研究并优化了影响萃取过程的不同参数,如萃取溶剂的类型和体积、分散剂溶剂的类型和体积以及萃取时间。在优化条件下,富集因子为189至269,相对回收率为88.5%至94.9%。线性范围为2.0 - 80.0 μg/L;检测限和定量限分别在0.04 - 1.06 μg/L和0.12 - 3.53 μg/L范围内。相对标准偏差为0.94% - 2.08%(n = 5)。所得结果表明,DLLME与GC-MS联用是一种快速简便的测定鱼塘水中硫丹农药的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b86b/6197123/bbcc33f4ab30/TFSR_A_1278111_F0001_B.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验