ChemInform Abstract: Fast Analytical-Scale Separations by Capillary Electrophoresis and Liquid Chromatography

Autor: Steven R. Witowski, Igor German, Jonathan E. Thompson, Robert T. Kennedy
Rok vydání: 2010
Předmět:
Zdroj: ChemInform. 30
ISSN: 1522-2667
0931-7597
DOI: 10.1002/chin.199950300
Popis: Separations are generally considered a slow step in any analytical methodology. HPLC and electrophoresis, the mainstay of separations of nonvolatile compounds in the modern laboratory, take anywhere from tens of minutes to hours to complete depending upon the complexity of the sample, the desired information, and selectivity available. This time requirement has limited the types of problems that separations can be asked to solve. For instance, separation methods are not typically used in highthroughput analyses or for monitoring applications. The time-consuming nature of separations has driven many researchers to investigate methods of improving the speed of separations techniques. In this review, we examine recent trends in improving the speed of liquid-phase analytical-scale separations based on chromatography and electrophoresis. While the present review is limited to liquid-phase separations, we note that recent advances have been made in the speed of gas chromatography separations as well, and this work has recently been reviewed elsewhere. Because many of the technical advances that have improved the speed of separations have occurred since 1990, our review emphasizes the past 9 years. In developing a review on fast separations, we were faced with the dilemma of how to define a fast separation. Our approach was to consider articles in which the emphasis was on use of theory and technology which were developed specifically to improve the speed of separation over conventional practice. Conventional practice, while difficult to define, in HPLC includes separations performed in 1-4.6 mm bore by 10-25 cm long columns packed with 3-5 μm porous particles. Thus, innovations such as nonporous particles, particle diameters
Databáze: OpenAIRE
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