Prediction of chiral separations using a
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Vlastimil Dohnal; Marta FarkovΓ‘; Josef Havel
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Article
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1999
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John Wiley and Sons
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English
β 208 KB
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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 β£-cyclodextrin as chiral selector, were demonstrated. The results obtained with the ED-ANN approach were compared with those of ei