Comparison of different algorithms to calculate mobility of analytes as a function of binary solvent composition
Clark, Brian J. Chan, H.K. Jouyban, A. Kenndler, E.
Clark, Brian J.
Chan, H.K.
Jouyban, A.
Kenndler, E.
Publication Date
2003
End of Embargo
Supervisor
Rights
Peer-Reviewed
Yes
Open Access status
closedAccess
Accepted for publication
Institution
Department
Awarded
Embargo end date
Collections
Additional title
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
Version
No full-text 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
Link to published version
Link to Version of Record
Type
Article