Abstract:
:There is a recognized need for new approaches to understand unit operations with pharmaceutical relevance. A method for analyzing complex interactions in experimental data is introduced. Higher-order interactions do exist between process parameters, which complicate the interpretation of experimental results. In this study, experiments based on mixed factorial design of coating process were performed. Drug release was analyzed by traditional analysis of variance (ANOVA) and generalized multiplicative ANOVA (GEMANOVA). GEMANOVA modeling is introduced in this study as a new tool for increased understanding of a coating process. It was possible to model the response, that is, the amount of drug released, using both mentioned techniques. However, the ANOVA model was difficult to interpret as several interactions between process parameters existed. In contrast to ANOVA, GEMANOVA is especially suited for modeling complex interactions and making easily understandable models of these. GEMANOVA modeling allowed a simple visualization of the entire experimental space. Furthermore, information was obtained on how relative changes in the settings of process parameters influence the film quality and thereby drug release.
journal_name
J Pharm Scijournal_title
Journal of pharmaceutical sciencesauthors
Naelapää K,Allesø M,Kristensen HG,Bro R,Rantanen J,Bertelsen Pdoi
10.1002/jps.21565subject
Has Abstractpub_date
2009-05-01 00:00:00pages
1852-61issue
5eissn
0022-3549issn
1520-6017pii
S0022-3549(16)32970-7journal_volume
98pub_type
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