| People | Locations | Statistics |
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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
Simultaneous determination of cyclodextrin stability constants as a function of pH and temperature – A tool for drug formulation and process design
Abstract
<p>The stability constant for complex formation is an important physicochemical property used to guide drug formulation development with cyclodextrins. Complex formation depends on both pH and temperature, factors often altered during pharmaceutical processing and manufacturing. Hence, their influence on the stability constant must be considered during drug formulation to define a robust formulation and manufacturing process. This work demonstrated how a mechanistic model, based upon physical chemical laws, for the apparent stability constant as a simultaneous function of pH and temperature accurately could estimate the apparent stability constant for cyclodextrin complexes. The model required multiple thermodynamic inputs, i.e. the pK<sub>a</sub> value of guest and buffer, measured stability constants for the cyclodextrin complex, the change in enthalpies and the change in heat capacities. A comprehensive set of isothermal titration calorimetry data for β-CD:ibuprofen at six different pH values and four temperatures were compared to the model calculations. A good agreement was observed between the experimental data and the modelled data, indicating that the model could be used to predict the stability constant at any pH and temperature. The model can be used as an important tool during drug formulation and process design to optimize formulation work with cyclodextrins.</p>