New designed special cells for Raman mapping of the disintegration process of pharmaceutical tablets
| Autor: | Tereza Čapková-Helešicová, Pavel Matějka, Marek Schöngut, Tomáš Pekárek |
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| Rok vydání: | 2019 |
| Předmět: |
Time Factors
Chemistry Pharmaceutical Clinical Biochemistry Pharmaceutical Science Excipient Flow cell Raman mapping Spectrum Analysis Raman 01 natural sciences Analytical Chemistry Excipients symbols.namesake Drug Discovery medicine Technology Pharmaceutical Dissolution Spectroscopy Active ingredient Principal Component Analysis Aqueous medium 010405 organic chemistry Chemistry 010401 analytical chemistry Solvation 0104 chemical sciences Drug Liberation Pharmaceutical Preparations Chemical engineering Solvents symbols Raman spectroscopy Tablets medicine.drug |
| Zdroj: | Journal of Pharmaceutical and Biomedical Analysis. 168:113-123 |
| ISSN: | 0731-7085 |
| DOI: | 10.1016/j.jpba.2019.02.019 |
| Popis: | The goal of this study was the methodological development of Raman microscopy application for advanced and reliable monitoring of pharmaceutical tablets disintegration in aqueous media. First step of the development involved new design and testing of static, flow cell and tablet holders. On-line Raman mapping method enables observation of the tested tablet interphase changes, particularly the changes of tablet composition during interaction of the solid-state drug form with disintegration medium. Furthermore, the quantitative information of tablet components (% w/w) from Raman maps was calculated. Second part of this study performs off-line Raman mapping, which was focused on the mapping of disintegrated tablet residua. Time-dependent Raman chemical maps provide an understanding of the role of several synergic processes, e.g. solvation, solvent penetration, both active pharmaceutical ingredient and excipient dissolution etc., which occur simultaneously on the surface of dissolving tablet. Raman data of disintegration process were evaluated by a chemometric method – Principal Component Analysis (PCA). |
| Databáze: | OpenAIRE |
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