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Afr.
J. Pure. App. Chem.
Vol. 2 No. 1
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Rao AA
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African Journal of Pure and Applied Chemistry Vol.
2 (1), pp. 001-005, January, 2008
ISSN 1996-0840
© 2008 Academic Journals
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Chromatographic method
development: computer simulated statistical design approach
Allam Appa
Rao
International
Center for Bioinformatics, Department of Computer Science and Systems
Engineering, Andhra University, Visakhapatnam-530003, India. web site:
www.allamapparao.org.
Tel: +91 891-284 4999, Fax: +91 891 274 7969, Personal 255 2956, 98481
85922.
Accepted 14 November, 2007 |
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Abstract |
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The
computerization of method development and validation are useful in
analysis of pharmaceuticals in pharmaceutical industry. In this article
a simple and rapid high performance liquid chromatographic method has
been developed for the determination of oxcarbazipine in pharmaceutical
formulations. Factorial design was applied for optimization of essential
factors for robustness study. A linear model was postulated and a 23
full factorial design was employed to estimate the model coefficients.
More specifically, experimental design helps the researcher to verify if
changes in factor values produce a statistically significant variation
of the observed response. The strategy is most effective if statistical
design is used in most or all stages for screening and optimizing
process in future method validation for method development and
validation.
Key
words:
Column liquid chromatography, oxcarbazepine,
experimental design, robustness, validation.
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