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    Comparison of different algorithms to calculate mobility of analytes as a function of binary solvent composition

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    Publication date
    2003
    Author
    Clark, Brian J.
    Chan, H.K.
    Jouyban, A.
    Kenndler, E.
    Keyword
    Prediction
    Mixed aqueous-organic buffer
    Mathematical models
    Electrophoretic mobility
    Capillary electrophoresis
    Peer-Reviewed
    Yes
    
    Metadata
    Show full item record
    Abstract
    Ten different mathematical models representing the electrophoretic mobility of analytes in capillary electrophoresis in mixed solvents of different composition have been compared using 32 experimental data sets. The solvents are binary mixtures of water-methanol, water-ethanol and methanol-ethanol, respectively. Mean percentage deviation (MPD), overall MPD (OMPD) and individual percentage deviation (IPD) have been considered as comparison criteria. The results showed that a reorganized solution model, namely the combined nearly ideal binary solvent/Redlich-Kister equation, is the most accurate model among other similar models concerning both correlation ability and prediction capability
    URI
    http://hdl.handle.net/10454/2692
    Version
    No full-text available in the repository
    Citation
    Clark, Brian J., Chan, H.K., Jouyban, A. and Kenndler, E. (2003). Comparison of different algorithms to calculate mobility of analytes as a function of binary solvent composition. Electrophoresis, Vol.24, No.10, pp.1596-1602.
    Link to publisher’s version
    http://www3.interscience.wiley.com/journal/104532327/abstract
    Type
    Article
    Collections
    Life Sciences Publications

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