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Estimation of drug release profiles of a heterogeneous set of drugs from a hydrophobic matrix tablet using molecular descriptors
Author(s) -
Matero Sanni,
Reinikainen SatuPia,
LahtelaKakkonen Maija,
Korhonen Ossi,
Ketolainen Jarkko,
Poso Antti
Publication year - 2008
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.1148
Subject(s) - dissolution , drug , excipient , molecular descriptor , chemistry , solubility , matrix (chemical analysis) , dissolution testing , similarity (geometry) , solvent , chromatography , computer science , stereochemistry , pharmacology , organic chemistry , quantitative structure–activity relationship , artificial intelligence , medicine , biopharmaceutics classification system , image (mathematics)
We utilized a diverse set of drug compounds in order to quantitatively model and predict the drug release profiles of the compounds from starch acetate matrix tablets. The set of drug molecules used represented a wide spectrum of physicochemically different drugs which are administered perorally. The molecular descriptors that characterize the properties of dissolved drugs were evaluated as variables describing the dissolution profiles. The molecular descriptors revealed potential in predicting the dissolution profiles of test drugs, e.g., the molecular level interactions between drug, solvent, and excipient. This method could be utilized as a process control or a development tool in the pharmaceutical industry, e.g., to provide information about drug dissolution behavior in early formulation studies and in testing the similarity of tablets in different batches. Copyright © 2008 John Wiley & Sons, Ltd.