Publication details
Use of artificial neural networks in capillary zone electrophoresis
| Authors | |
|---|---|
| Year of publication | 1999 |
| Type | Article in Periodical |
| Magazine / Source | J. Chromatogr. A. |
| MU Faculty or unit | |
| Citation | |
| Field | Analytic chemistry |
| Description | The use of Artificial Neural Networks (ANN) for non-linear modeling of symmetric and nonsymmetric peaks in Capillary Zone Electrophoresis (CZE) and in optimization of CZE methods was studied. It was shown that ANN can be used to estimate peak parameters and in combination with experimental design can be applied for efficient prediction of optimal separation conditions. The great advantage is that no use of the explicit model of the separation process and no knowledge of the physicochemical constants are needed. |
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