4.7 Article

Room temperature ionic liquid-based microextraction for vanadium species separation and determination in water samples by electrothermal atomic absorption spectrometry

期刊

ANALYTICA CHIMICA ACTA
卷 640, 期 1-2, 页码 40-46

出版社

ELSEVIER
DOI: 10.1016/j.aca.2009.03.028

关键词

1-Butyl-3-methylimidazolium; hexafluorophosphate; Ionic liquid; Microextraction; Vanadium; Speciation

资金

  1. Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET)
  2. Agencia Nacional de Promocion Cientifica y Tecnologica (FONCYT) (PICT-BID)

向作者/读者索取更多资源

A simple microextraction technique based on room temperature ionic liquids (RTILs) for trace V(IV) and V(V) species separation and preconcentration in water samples was developed in this work. Vanadium species microextraction was achieved with a minimal amount of the RTIL 1-butyl-3-methylimidazolium hexafluorophosphate ([C4 mim][PF6]) as vanadium-2-(5-bromo-2-pyridylazo)-5-diethylaminophenol (V-5-Br-PADAP) complex. The speciation analysis was performed based on a modern technique defined as temperature-controlled ionic liquid dispersive liquid phase microextraction (TILDLME). The level of V(IV) species was calculated by difference of total V and V(V) levels. Selectivity among V species was obtained with the use of 1,2-cyclohexanediaminetetraacetic acid (CDTA) as masking agent. Determination of V was developed by direct injection of the RTIL phase into the electrothermal atomic absorption spectrometer (ETAAS). A preconcentration factor of 40 was achieved with only 2 mL of sample. The limit of detection (LOD) obtained under optimum conditions was 4.9 ng L-1 and the relative standard deviation for 10 replicate determinations at the 0.5 mu g L-1 V level was 4.3%, calculated at peak heights. A correlation coefficient of 0.9961 was achieved. The method was successfully applied for the speciation analysis of V in tap and river water samples. (c) 2009 Published by Elsevier B.V.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据