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Artificial neural networks for computer-aided modelling and optimisation in micellar electrokinetic chromatography
journal contribution
posted on 2023-05-16, 11:38 authored by Havel, J, Michael BreadmoreMichael Breadmore, Miroslav MackaMiroslav Macka, Paul HaddadPaul HaddadThe separation process in capillary micellar electrochromatography (MEKC) can be modelled using artificial neural networks (ANNs) and optimisation of MEKC methods can be facilitated by combining ANNs with experimental design. ANNs have shown attractive possibilities for non-linear modelling of response surfaces in MEKC and it was demonstrated that by combining ANN modelling with experimental design, the number of experiments necessary to search and find optimal separation conditions can be reduced significantly. A new general approach for computer-aided optimisation in MEKC has been proposed which, because of its general validity, can also be applied in other separation techniques. Copyright (C) 1999 Elsevier Science B.V.
History
Publication title
Journal of Chromatography AVolume
850Issue
1-2Pagination
345-353ISSN
0021-9673Department/School
School of Natural SciencesPublisher
Elsevier SciencePlace of publication
The NetherlandsRepository Status
- Restricted