New Approaches to the Cloud Point Extraction: Utilizable for Separation and Preconcentration of Trace Metals

被引:25
作者
Hagarova, Ingrid [1 ]
Urik, Martin [1 ]
机构
[1] Comenius Univ, Fac Nat Sci, Inst Lab Res Geomat, Ilkovicova 6, Bratislava 84215, Slovakia
关键词
Cloud Point Extraction; preconcentration technique; separation technique; trace metal; ATOMIC-ABSORPTION-SPECTROMETRY; OPTICAL-EMISSION-SPECTROMETRY; MICELLE-MEDIATED EXTRACTION; SPECTROPHOTOMETRIC DETERMINATION; BIOLOGICAL SAMPLES; WATER SAMPLES; ENVIRONMENTAL-SAMPLES; NONIONIC SURFACTANT; COMPLICATED MATRICES; ONLINE INCORPORATION;
D O I
10.2174/1573411011666150601204931
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In recent years, cloud point extraction (CPE) has become widely utilized for separation and preconcentration of trace metals. CPE uses the property of nonionic surfactants in aqueous solutions to create micelles and to become turbid when heated to particular temperature (so-called cloud point temperature). Above this temperature, the micellar solution separates into two phases: a surfactant-rich phase of a small volume, and a diluted aqueous phase (so-called equilibrium solution). Conventional CPE needs to be heated in water bath to realize cloud point phenomenon, which makes the solution turbid. This CPE procedure has many steps, which makes it quite time-and labor-consuming. Recently, researchers constantly looking for ways to improve conventional CPE in order to shorten procedure time and reduce steps needed or to improve selectivity. On the other hand, longer procedures such as the conventional CPE have been proposed to overcome troubles with organic solvents (which are used for the dissolution of the surfactant-rich phase). In this review, articles have been summarized in seven sub-titles including (I) cloud point extraction, (II) displacement cloud point extraction, (III) rapidly synergistic cloud point extraction, (IV) dual cloud point extraction, (V) ultrasound-assisted cloud point extraction, (VI) microwave-assisted cloud point extraction, and (VII) flow-based cloud point extraction.
引用
收藏
页码:87 / 93
页数:7
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