Gel electro-membrane extraction: An overview on recent strategies for extraction efficiency enhancement
In gel electro-membrane extraction (G-EME), target analytes are extracted from a donor phase, across a biopolymer membrane, and into an acceptor phase under the influence of an electrical field. Biopolymer membranes used include agarose, agar, tragacanth, polyacrylamide, and chitosan. G-EME is compl...
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Veröffentlicht in: | TrAC, Trends in analytical chemistry (Regular ed.) Trends in analytical chemistry (Regular ed.), 2023-03, Vol.160, p.116990, Article 116990 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | In gel electro-membrane extraction (G-EME), target analytes are extracted from a donor phase, across a biopolymer membrane, and into an acceptor phase under the influence of an electrical field. Biopolymer membranes used include agarose, agar, tragacanth, polyacrylamide, and chitosan. G-EME is completely solvent-free (except two-phase G-EME mode), and represents a highly interesting approach to future green analytical chemistry. This method has the potential for extracting polar analytes with poor partition into organic solvents. On the other hand, due to the absence of a water-organic solvent interface, low selectivity and high electro-endosmosis (EEO) are challenges in G-EME. Due to EEO, the volume of donor and acceptor phases tends to change during extraction. To address the latter problems and enhance extraction efficiency, different strategies have been applied, including gel modification, addition of gel additives, and extraction set-up modifications. This article reviews recent efforts in the development of G-EME, with a special focus on efficiency enhancement and EEO.
•State-of-the-art to use biopolymers as green membranes is presented.•Different strategies for extraction efficiency enhancement are described.•Key aspects of biomembranes vs. commercial (artificial) membranes are discussed.•Extraction applications are displayed in tabular and graphical forms. |
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ISSN: | 0165-9936 1879-3142 |
DOI: | 10.1016/j.trac.2023.116990 |