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Continuous Flow Chemistry: Reaction of Diphenyldiazomethane with p-Nitrobenzoic Acid
Published on: November 15, 2017
Controlled flow-through dissolution methodology: a high-performance system
Larry E Stevens1, Paul J Missel, Alan L Weiner
1Alcon Research, Ltd., Fort Worth, TX, USA. larry.stevens@alconlabs.com
A novel automated flow-through system enhances the precision and relevance of drug release rate measurements, particularly for challenging sparingly soluble compounds. This method offers significant advantages over traditional compendial techniques for formulation development.
Area of Science:
- Pharmaceutical Sciences
- Drug Delivery and Formulation
- Physical Chemistry
Background:
- Compendial methods for measuring drug release rates, especially for sparingly soluble compounds, often yield imprecise and biologically irrelevant results.
- Existing stirred and flow-through systems lack the sensitivity and direct relevance needed for advanced formulation development and pharmacokinetic prediction.
Purpose of the Study:
- To develop and validate an automated multisample flow-through system for precise drug release rate measurement.
- To demonstrate the advantages of this new system over conventional compendial methods in terms of precision, relevance, and sensitivity.
Main Methods:
- Employed a flow-through approach emphasizing convective diffusion and controlled physical-chemical parameters.
- Developed an automated multisample system for high-throughput analysis.
- Utilized finite element modeling to simulate the convective diffusion/dissolution process.
Main Results:
- The automated flow-through system demonstrated superior precision compared to compendial stirred and flow-through methods.
- Achieved enhanced physicochemical and in vivo relevance, alongside improved analytical and formulation sensitivity.
- Finite element modeling predictions closely matched experimental measurements, with agreement within a few percent.
Conclusions:
- The automated multisample flow-through system offers a significant advancement for drug release testing, particularly for challenging formulations.
- This approach provides more precise, relevant, and sensitive data crucial for effective drug development and optimization.
- The integration of computational modeling further validates the system's accuracy and predictive power.
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