Article ID Journal Published Year Pages File Type
2484527 Journal of Pharmaceutical Sciences 2015 11 Pages PDF
Abstract
Spectroscopic methods are increasingly used for monitoring pharmaceutical manufacturing unit operations that involve powder handling and processing. With that regard, chemometric models are required to interpret the obtained spectra. There are many ways to prepare artificial powder blend samples used in a chemometric model for predicting the chemical content. Basically, an infinite number of possible concentration levels exist in terms of the individual components. In our study, design of experiments for ternary mixtures was used to establish a suitable number of blend compositions that represents the entire mixture region of interest for a three component blend. Various experimental designs and their effect on the predictive power of a chemometric model for near infrared spectra were investigated. It was determined that a particular choice of experimental design could change the predictive power of a model, even with the same number of calibration experiments. (C 2015 Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 104:2312-2322, 2015
Related Topics
Health Sciences Pharmacology, Toxicology and Pharmaceutical Science Drug Discovery
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