An exploratory study of a simplified approach to evaluate drug solubility in milk related vehicles
Objectives: Milk related materials are frequently used as a vehicle for drug product administration. Therefore, drug solubility information in milk related vehicles is desirable for prediction of how they may influence in vivo drug release and bioavailability. However, there are very limited data published on this topic. This study explored a practical method to address the key challenges associated with solubility assessment in milk, including the sample equilibration time and cleanup procedures. Methods: Amitriptyline, acetaminophen, dexamethasone, nifedipine, piroxicam, and prednisolone were selected as model drugs to represent a wide range of physicochemical properties. Their solubilities were determined at room temperature in pH 6.8 phosphate buffer, skim milk, whole milk, reconstituted milk powder, and unprocessed raw milk. Results: The overall results confirmed that milk greatly improves the solubility of poorly water-soluble drugs. However, the extent of improvement and mechanism of solubilization appeared unique for each drug, highlighting the importance of evaluating milk solubility experimentally. Conclusions: The method used in this exploratory study can be applied in future investigations of a broader range of drugs and milk-related vehicles.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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An exploratory study of a simplified approach to evaluate drug solubility in milk related vehicles ; volume:8 ; number:1 ; year:2023 ; extent:06
Pharmaceutical technology in hospital pharmacy ; 8, Heft 1 (2023) (gesamt 06)
- Creator
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Li, Sean
Gabriel, Justin
Martinez, Marilyn
Longstaff, David
Coffey, Martin
Zhao, Fang
- DOI
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10.1515/pthp-2023-0006
- URN
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urn:nbn:de:101:1-2023092014140830848441
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:49 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Li, Sean
- Gabriel, Justin
- Martinez, Marilyn
- Longstaff, David
- Coffey, Martin
- Zhao, Fang