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使用微波辅助萃取和带电感耦合等离子体质谱的气相色谱法测定沉积物样品中的有机磷酸酯阻燃剂和增塑剂。

Determination of organophosphate flame retardants and plasticizers in sediment samples using microwave-assisted extraction and gas chromatography with inductively coupled plasma mass spectrometry.

作者信息

García-López M, Rodríguez I, Cela R, Kroening K K, Caruso J A

机构信息

Departamento de Química Analítica, Nutrición y Bromatología, Facultad de Química, Instituto de Investigación y Análisis Alimentario (IIAA), Universidad de Santiago de Compostela, Santiago 15782, Spain.

出版信息

Talanta. 2009 Aug 15;79(3):824-9. doi: 10.1016/j.talanta.2009.05.006. Epub 2009 May 15.

Abstract

A procedure for the determination of 10 organophosphates, used as flame retardants and plasticizers, in sediment samples is presented. Microwave-assisted extraction (MAE) and gas chromatography with inductively coupled plasma mass spectrometry (GC-ICP-MS) were used for sample preparation and analytes determination, respectively. Influence of different variables on the performance of extraction and determination processes is thoroughly discussed. Temperature, type and amount of organic solvent showed a major effect on the yield of MAE. Regarding GC-ICP-MS detection, the combination of pulsed splitless injection with low radio frequency (rf) power, hard extraction conditions (referred to lens voltage) and addition of nitrogen (0.03 L min(-1)) to the argon plasma provided the best sensitivity. Under final working conditions, recoveries between 78% and 105%, for samples spiked at different concentration levels, and limits of quantification from 2 to 4 ng g(-1) were achieved. Analysis of unspiked sediments confirmed the excellent selectivity of the proposed method for real-life polluted sample analysis.

摘要

本文介绍了一种测定沉积物样品中10种用作阻燃剂和增塑剂的有机磷酸酯的方法。分别采用微波辅助萃取(MAE)和电感耦合等离子体质谱联用气相色谱法(GC-ICP-MS)进行样品制备和分析物测定。深入讨论了不同变量对萃取和测定过程性能的影响。温度、有机溶剂的类型和用量对微波辅助萃取的产率有主要影响。关于GC-ICP-MS检测,采用脉冲不分流进样与低射频(rf)功率、强萃取条件(指透镜电压)以及向氩等离子体中添加氮气(0.03 L min(-1))的组合可提供最佳灵敏度。在最终工作条件下,不同浓度水平加标样品的回收率在78%至105%之间,定量限为2至4 ng g(-1)。对未加标的沉积物进行分析证实了该方法对实际污染样品分析具有出色的选择性。

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