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Comparative Fitting of Mathematical Models to Carvedilol Release Profiles Obtained from Hypromellose Matrix Tablets
Tadej Ojsteršek1,2, Franc Vrečer1,2, Grega Hudovornik1
1KRKA, d. d., 8501 Novo Mesto, Slovenia.
Mathematical models in DDSolver analyzed carvedilol release from HPMC matrix tablets. The study identified optimal models for predicting drug release profiles based on formulation variables and dissolution data.
Area of Science:
- Pharmaceutical Sciences
- Drug Delivery Systems
- Materials Science
Background:
- Hypromellose (HPMC) based matrix tablets are widely used for controlled drug release.
- Carvedilol is a beta-blocker commonly formulated in extended-release dosage forms.
- Understanding drug release mechanisms is crucial for optimizing pharmaceutical formulations.
Purpose of the Study:
- To apply mathematical models from DDSolver to experimental carvedilol release data.
- To evaluate different carvedilol release profiles generated by varying formulation excipients.
- To determine the best-fit models for describing carvedilol dissolution from HPMC matrices.
Main Methods:
- Experimental dissolution testing of carvedilol HPMC matrix tablets.
- Application and fitting of various mathematical models using DDSolver software.
- Statistical analysis, including paired t-tests, to determine data relevance.
- Model selection based on residual sum of squares (RSS) and visual assessment.
- Analysis of model parameters for burst release and lag time.
Main Results:
- Successful application of DDSolver mathematical models to carvedilol release data.
- Identification of formulation variables influencing carvedilol release profiles.
- Selection of best-fit models for both entire and partial dissolution data (up to 60%).
- Evaluation of model parameter acceptability for burst and lag time phenomena.
Conclusions:
- Mathematical modeling provides a robust method for characterizing carvedilol release from HPMC matrices.
- Formulation modifications significantly impact drug release kinetics.
- The study offers insights into carvedilol release mechanisms and aids in optimizing matrix tablet design.
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