African Journal of
Pure and Applied Chemistry

  • Abbreviation: Afr. J. Pure Appl. Chem.
  • Language: English
  • ISSN: 1996-0840
  • DOI: 10.5897/AJPAC
  • Start Year: 2007
  • Published Articles: 357

Full Length Research Paper

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

  •  Accepted: 14 November 2007
  •  Published: 31 January 2008

Abstract

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.