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

Description

No / 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

Links & Downloads

1. 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.
2. http://hdl.handle.net/10454/2692
3. https://doi.org/10.1002/elps.200305413

Tags

Prediction

Mixed aqueous-organic buffer

Mathematical models

Electrophoretic mobility

Capillary electrophoresis

Additional Fields

Identifer	oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/2692
Date	January 2003
Creators	Clark, Brian J., Chan, H.K., Jouyban, A., Kenndler, E.
Source Sets	Bradford Scholars
Language	English
Detected Language	English
Type	Article, No full-text available in the repository