Recent elaborations in electromembrane microextraction technique for preconcentration of chromium species: A mini-review

IF 5.2 Q1 CHEMISTRY, ANALYTICAL
Waleed Alahmad , Shaymaa A. Mohamed , Ahmad Halabi
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Abstract

In recent years, electromembrane microextraction techniques have been used widely for the analysis of chromium species (trivalent and hexavalent chromium) in different environmental matrices. It is based on the electrokinetic migration across a membrane under the effect of an external electrical field between two aqueous phases. Trace analysis in complex matrices usually requires an effective sample preparation step to isolate, extract, and enrich the target analytes. Due to its distinctive qualities, including a high degree of enrichment factors, clean-up, and conformity with green chemistry principles, electromembrane microextraction techniques are among the methods for extracting chromium that have gained much attention in recent years. These techniques could be classified into two groups; electromembrane extraction (EME) which is based on using hydrophobic compounds (e.g., a few microliters of organic solvents) to separate the two aqueous solutions (donor and acceptor solutions), and gel electromembrane microextraction (G-EME) which is based on using a membrane made of biopolymers. In this review, the most recent advancements in EME and G-EME technologies for the extraction of chromium species in environmental samples in the last five years were summarized. Furthermore, the performance of the systems is evaluated in terms of their precision and accuracy, detection limits, and merits and drawbacks. Finally, future perspectives on these techniques were discussed.

Abstract Image

电膜微萃取富集铬的研究进展综述
近年来,电膜微萃取技术已被广泛用于分析不同环境基质中的铬物种(三价铬和六价铬)。它是基于在两个水相之间的外部电场作用下通过膜的电动迁移。复杂基质中的痕量分析通常需要有效的样品制备步骤来分离、提取和富集目标分析物。由于其独特的性质,包括高度富集因子、净化和符合绿色化学原理,电膜微萃取技术是近年来备受关注的铬提取方法之一。这些技术可以分为两组:;基于使用疏水性化合物(例如,几微升有机溶剂)来分离两种水溶液(供体溶液和受体溶液)的电膜萃取(EME),以及基于使用由生物聚合物制成的膜的凝胶电膜微萃取(g-EME)。本文综述了近五年来EME和G-EME技术在提取环境样品中铬物种方面的最新进展。此外,还根据系统的精度和准确性、检测极限以及优缺点对系统的性能进行了评估。最后,对这些技术的未来前景进行了讨论。
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