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用于从液体样品中萃取苏丹红染料的原位离子液体分散液液微萃取法

In situ ionic-liquid-dispersive liquid-liquid microextraction of Sudan dyes from liquid samples.

作者信息

Xu Bo, Song Daqian, Wang Yuanpeng, Gao Yan, Cao Bocheng, Zhang Hanqi, Sun Ying

机构信息

College of Chemistry, Jilin University, Changchun, P. R. China.

出版信息

J Sep Sci. 2014 Aug;37(15):1967-73. doi: 10.1002/jssc.201400317. Epub 2014 Jun 20.

Abstract

In situ ionic-liquid-dispersive liquid-liquid microextraction was introduced for extracting Sudan dyes from different liquid samples followed by detection using ultrafast liquid chromatography. The extraction and metathesis reaction can be performed simultaneously, the extraction time was shortened notably and higher enrichment factors can be obtained compared with traditional dispersive liquid-liquid microextraction. When the extraction was coupled with ultrafast liquid chromatography, a green, convenient, cheap, and efficient method for the determination of Sudan dyes was developed. The effects of various experimental factors, including type of extraction solvent, amount of 1-hexyl-3-methylimidazolium chloride, ratio of ammonium hexafluorophosphate to 1-hexyl-3-methylimidazolium chloride, pH value, salt concentration in sample solution, extraction time and centrifugation time were investigated and optimized for the extraction of four kinds of Sudan dyes. The limits of detection for Sudan I, II, III, and IV were 0.324, 0.299, 0.390, and 0.655 ng/mL, respectively. Recoveries obtained by analyzing the seven spiked samples were between 65.95 and 112.82%. The consumption of organic solvent (120 μL acetonitrile per sample) was very low, so it could be considered as a green analytical method.

摘要

采用原位离子液体分散液液微萃取法从不同液体样品中萃取苏丹红染料,随后用超快速液相色谱进行检测。萃取和复分解反应可同时进行,与传统的分散液液微萃取相比,萃取时间显著缩短,且能获得更高的富集因子。当萃取与超快速液相色谱联用时,开发了一种绿色、便捷、廉价且高效的苏丹红染料测定方法。考察并优化了各种实验因素,包括萃取溶剂类型、1-己基-3-甲基咪唑氯盐用量、六氟磷酸铵与1-己基-3-甲基咪唑氯盐的比例、pH值、样品溶液中的盐浓度、萃取时间和离心时间等对四种苏丹红染料萃取的影响。苏丹红I、II、III和IV的检测限分别为0.324、0.299、0.390和0.655 ng/mL。分析七个加标样品得到的回收率在65.95%至112.82%之间。有机溶剂消耗量(每个样品120 μL乙腈)非常低,因此可将其视为一种绿色分析方法。

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