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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Holm, René
University of Southern Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (17/17 displayed)
- 2024Impact of drug compounds mechanical/deformation properties on the preparation of nano- and microsuspensionscitations
- 2024Impact of drug compounds mechanical/deformation properties on the preparation of nano- and microsuspensionscitations
- 2024A Systematic Investigation of Process Parameters for Small-Volume Aqueous Suspension Production by the Use of Focused Ultrasonication
- 2024A Systematic Investigation of Process Parameters for Small-Volume Aqueous Suspension Production by the Use of Focused Ultrasonication
- 2024Is roller milling – the low energy wet bead media milling – a reproducible and robust milling method for formulation investigation of aqueous suspensions?citations
- 2021Simultaneous determination of cyclodextrin stability constants as a function of pH and temperature – A tool for drug formulation and process designcitations
- 2020In Vivo Performance of Innovative Polyelectrolyte Matrices for Hot Melt Extrusion of Amorphous Drug Systemscitations
- 2019Modified Polymer Matrix in Pharmaceutical Hot Melt Extrusion by Molecular Interactions with a Carboxylic Coformercitations
- 2019Montmorillonite-surfactant hybrid particles for modulating intestinal P-glycoprotein-mediated transportcitations
- 2018Influence of PVP molecular weight on the microwave assisted in situ amorphization of indomethacincitations
- 2018Comparison of two DSC-based methods to predict drug-polymer solubilitycitations
- 2017Amorphization within the tabletcitations
- 2016Roller compaction scale-up using roll width as scale factor and laser-based determined ribbon porosity as critical material attributecitations
- 2016Glass solution formation in water - In situ amorphization of naproxen and ibuprofen with Eudragit® E POcitations
- 2015Evaluation of drug-polymer solubility curves through formal statistical analysiscitations
- 2013Preparation of an amorphous sodium furosemide salt improves solubility and dissolution rate and leads to a faster Tmax after oral dosing to ratscitations
- 2008Characterization and physical stability of spray dried solid dispersions of probucol and PVP-K30citations
Places of action
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article
Comparison of two DSC-based methods to predict drug-polymer solubility
Abstract
<p>The aim of the present study was to compare two DSC-based methods to predict drug-polymer solubility (melting point depression method and recrystallization method) and propose a guideline for selecting the most suitable method based on physicochemical properties of both the drug and the polymer. Using the two methods, the solubilities of celecoxib, indomethacin, carbamazepine, and ritonavir in polyvinylpyrrolidone, hydroxypropyl methylcellulose, and Soluplus® were determined at elevated temperatures and extrapolated to room temperature using the Flory-Huggins model. For the melting point depression method, it was observed that a well-defined drug melting point was required in order to predict drug-polymer solubility, since the method is based on the depression of the melting point as a function of polymer content. In contrast to previous findings, it was possible to measure melting point depression up to 20 °C below the glass transition temperature (T<sub>g</sub>) of the polymer for some systems. Nevertheless, in general it was possible to obtain solubility measurements at lower temperatures using polymers with a low T<sub>g</sub>. Finally, for the recrystallization method it was found that the experimental composition dependence of the T<sub>g</sub> must be differentiable for compositions ranging from 50 to 90% drug (w/w) so that one T<sub>g</sub> corresponds to only one composition. Based on these findings, a guideline for selecting the most suitable thermal method to predict drug-polymer solubility based on the physicochemical properties of the drug and polymer is suggested in the form of a decision tree.</p>