APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN HPLC METHOD DEVELOPMENT

Authors
AGATONOVICKUSTRIN S ZECEVIC M ZIVANOVIC L TUCKER IG
Citation
S. Agatonovickustrin et al., APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN HPLC METHOD DEVELOPMENT, Journal of pharmaceutical and biomedical analysis, 17(1), 1998, pp. 69-76
Citations number
12
Categorie Soggetti
Pharmacology & Pharmacy","Chemistry Analytical
Journal title
Journal of pharmaceutical and biomedical analysis → ACNP
ISSN journal
07317085
Volume
17
Issue
1
Year of publication
1998
Pages
69 - 76
Database
ISI
SICI code
0731-7085(1998)17:1<69:AOANNI>2.0.ZU;2-C
Abstract
The use of artificial neural networks (ANNs) for response surface mode lling in HPLC method development for amiloride and methychlothiazide s eparation is reported. The independent input variables were pH and met hanol percentage in mobile phase. The outputs were capacity factors. T he results were compared with a statistical method (multiple nonlinear regression analysis). Networks were able to predict the experimental responses more accurately than the regression analysis. (C) 1998 Elsev ier Science B.V. All rights reserved.