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dc.contributor.authorClark, Brian J.*
dc.contributor.authorChan, H.K.*
dc.contributor.authorJouyban, A.*
dc.contributor.authorKenndler, E.*
dc.date.accessioned2009-05-26T10:18:02Z
dc.date.available2009-05-26T10:18:02Z
dc.date.issued2003
dc.identifier.citationClark, 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.
dc.identifier.urihttp://hdl.handle.net/10454/2692
dc.descriptionNo
dc.description.abstractTen 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
dc.language.isoen
dc.subjectPrediction
dc.subjectMixed aqueous-organic buffer
dc.subjectMathematical models
dc.subjectElectrophoretic mobility
dc.subjectCapillary electrophoresis
dc.titleComparison of different algorithms to calculate mobility of analytes as a function of binary solvent composition
dc.status.refereedYes
dc.typeArticle
dc.type.versionNo full-text in the repository
dc.identifier.doihttps://doi.org/10.1002/elps.200305413
dc.openaccess.statusclosedAccess


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