In this work the advantages of using artificial neural networks (ANNs) combined with experimental design (ED) to optimize the separation of amino acids enantiomers, with ␣-cyclodextrin as chiral selector, were demonstrated. The results obtained with the ED-ANN approach were compared with those of ei
✦ LIBER ✦
Optimization of the separation of a group of triazine herbicides by micellar capillary electrophoresis using experimental design and artificial neural networks
✍ Scribed by Sergio Frías-García; M. Jesús Sánchez; Miguel Ángel Rodríguez- Delgado
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 148 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0173-0835
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## Abstract The enantiomeric separation of a series of basic pharmaceuticals (β‐blockers, local anesthetics, sympathomimetics) has been investigated in nonaqueous capillary electrophoresis (NACE) systems using heptakis(2,3‐di‐__O__‐methyl‐6‐__O__‐sulfo)‐β‐cyclodextrin (HDMS‐β‐CD) in combination wit