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Application of artificial neural networks in HPLC method development

Authorized Users Only
1998
Authors
Agatonović-Kuštrin, Snežana
Zečević, Mira
Živanović, L
Tucker, I.G
Article (Published version)
Metadata
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Abstract
The use of artificial neural networks (ANNs) for response surface modelling in HPLC method development for amiloride and methychlothiazide separation is reported. The independent input variables were pH and methanol percentage in mobile phase. The outputs were capacity factors. The 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.
Source:
Journal of Pharmaceutical and Biomedical Analysis, 1998, 17, 1, 69-76
Publisher:
  • Pergamon-Elsevier Science Ltd, Oxford

DOI: 10.1016/S0731-7085(97)00170-2

ISSN: 0731-7085

PubMed: 9608428

WoS: 000073387700009

Scopus: 2-s2.0-0032080860
[ Google Scholar ]
34
25
URI
https://farfar.pharmacy.bg.ac.rs/handle/123456789/187
Collections
  • Radovi istraživača / Researchers’ publications
Institution/Community
Pharmacy
TY  - JOUR
AU  - Agatonović-Kuštrin, Snežana
AU  - Zečević, Mira
AU  - Živanović, L
AU  - Tucker, I.G
PY  - 1998
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/187
AB  - The use of artificial neural networks (ANNs) for response surface modelling in HPLC method development for amiloride and methychlothiazide separation is reported. The independent input variables were pH and methanol percentage in mobile phase. The outputs were capacity factors. The 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.
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Journal of Pharmaceutical and Biomedical Analysis
T1  - Application of artificial neural networks in HPLC method development
VL  - 17
IS  - 1
SP  - 69
EP  - 76
DO  - 10.1016/S0731-7085(97)00170-2
ER  - 
@article{
author = "Agatonović-Kuštrin, Snežana and Zečević, Mira and Živanović, L and Tucker, I.G",
year = "1998",
abstract = "The use of artificial neural networks (ANNs) for response surface modelling in HPLC method development for amiloride and methychlothiazide separation is reported. The independent input variables were pH and methanol percentage in mobile phase. The outputs were capacity factors. The 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.",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Journal of Pharmaceutical and Biomedical Analysis",
title = "Application of artificial neural networks in HPLC method development",
volume = "17",
number = "1",
pages = "69-76",
doi = "10.1016/S0731-7085(97)00170-2"
}
Agatonović-Kuštrin, S., Zečević, M., Živanović, L.,& Tucker, I.G. (1998). Application of artificial neural networks in HPLC method development. in Journal of Pharmaceutical and Biomedical Analysis
Pergamon-Elsevier Science Ltd, Oxford., 17(1), 69-76.
https://doi.org/10.1016/S0731-7085(97)00170-2
Agatonović-Kuštrin S, Zečević M, Živanović L, Tucker I. Application of artificial neural networks in HPLC method development. in Journal of Pharmaceutical and Biomedical Analysis. 1998;17(1):69-76.
doi:10.1016/S0731-7085(97)00170-2 .
Agatonović-Kuštrin, Snežana, Zečević, Mira, Živanović, L, Tucker, I.G, "Application of artificial neural networks in HPLC method development" in Journal of Pharmaceutical and Biomedical Analysis, 17, no. 1 (1998):69-76,
https://doi.org/10.1016/S0731-7085(97)00170-2 . .

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