Suppr超能文献

单滴微萃取-气相色谱-质谱联用测定复杂基质中的有机氯农药

Determination of organochlorine pesticides in complex matrices by single-drop microextraction coupled to gas chromatography-mass spectrometry.

作者信息

Cortada Carol, Vidal Lorena, Tejada Sergio, Romo Alicia, Canals Antonio

机构信息

Labaqua S.A., C/Dracma 16-18, Pol. Ind. Las Atalayas, 03114 Alicante, Spain.

出版信息

Anal Chim Acta. 2009 Apr 6;638(1):29-35. doi: 10.1016/j.aca.2009.01.062. Epub 2009 Feb 8.

Abstract

A rapid and simple single-drop microextraction method (SDME) has been used to preconcentrate eighteen organochlorine pesticides (OCPs) from water samples with a complex matrix. Exposing two microlitre toluene drop to an aqueous sample contaminated with OCPs proved an excellent preconcentration method prior to analysis by gas chromatography-mass spectrometry (GC-MS). A Plackett-Burman design was used for screening and a central composite design for optimizing the significant variables in order to evaluate several possibly influential and/or interacting factors. The studied variables were drop volume, aqueous sample volume, agitation speed, ionic strength and extraction time. The optimum experimental conditions of the proposed SDME method were: 2 microL toluene microdrop exposed for 37 min to 10 mL of the aqueous sample containing 0% w/v NaCl and stirred at 380 rpm. The calculated calibration curves gave high-level linearity for all target analytes with correlation coefficients ranging between 0.9991 and 0.9999. The repeatability of the proposed method, expressed as relative standard deviation, varied between 5.9 and 9.9% (n=8). The detection limits were in the range of 0.022-0.101 microg L(-1) using GC-MS with selective ion monitoring. The LOD values obtained are able to detect these OCPs in aqueous matrices as required by EPA Method 625. Analysis of spiked effluent wastewater samples revealed that the matrix had no effect on extraction for eleven of the analytes but exerted notable effect for the other analytes.

摘要

一种快速简便的单滴微萃取方法(SDME)已被用于从具有复杂基质的水样中预富集18种有机氯农药(OCPs)。将两微升甲苯液滴暴露于受OCPs污染的水样中,这被证明是在气相色谱 - 质谱联用(GC - MS)分析之前的一种出色的预富集方法。采用Plackett - Burman设计进行筛选,并采用中心复合设计来优化显著变量,以评估几个可能有影响和/或相互作用的因素。所研究的变量有液滴体积、水样体积、搅拌速度、离子强度和萃取时间。所提出的SDME方法的最佳实验条件为:将2微升甲苯微滴暴露于10毫升含0% w/v NaCl的水样中37分钟,并以380转/分钟搅拌。计算得到的校准曲线对所有目标分析物都具有高度线性,相关系数在0.9991至0.9999之间。所提出方法的重复性,以相对标准偏差表示,在5.9%至9.9%之间(n = 8)。使用具有选择性离子监测功能的GC - MS时,检测限在0.022 - 0.101微克/升范围内。所获得的检测限能够按照美国环境保护局(EPA)方法625的要求检测水样中的这些OCPs。对加标废水样品的分析表明,基质对11种分析物的萃取没有影响,但对其他分析物有显著影响。

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