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Estimation of the percolation thresholds in dextromethorphan hydrobromide matrices
L M Melgoza1, A M Rabasco, H Sandoval
1Universidad Autónoma Metropolitana-Xochimilco, Departamento de Sistemas Biológicos, Calzada del Hueso 1100, Colonia Villa Quietud, C.P. 04960, Mexico D.F.
Summary
Percolation theory aids pharmaceutical solid dosage form design. This study estimated percolation thresholds for dextromethorphan.HBr/Eudragit RS-PM matrices, crucial for optimizing drug delivery systems.
Area of Science:
- Pharmaceutical Sciences
- Materials Science
- Physical Chemistry
Background:
- Percolation theory, applied in pharmaceuticals since 1987, offers insights into chaotic systems.
- Understanding the percolation threshold is vital for improving solid dosage form design.
- The percolation threshold signifies the concentration at which a substance first forms a continuous cluster.
Purpose of the Study:
- To estimate the percolation thresholds of dextromethorphan hydrobromide (HBr) within Eudragit RS-PM inert matrices.
- To determine various percolation thresholds (site, site-bond, swelling) for the Eudragit RS-PM excipient.
- To validate findings against previous studies on similar pharmaceutical matrices.
Main Methods:
- Estimation of drug percolation threshold based on total porosity.
- Scanning Electron Microscopy (SEM) to analyze matrix morphology.
- Determination of site, site-bond, and swelling percolation thresholds for the Eudragit RS-PM excipient.
Main Results:
- The drug percolation threshold for dextromethorphan.HBr was found to be 0.3691+/-0.0541 (P=0.05) of total porosity, corresponding to 23-36% w/w drug.
- SEM micrographs supported the estimated drug percolation range.
- Distinct percolation thresholds were identified for Eudragit RS-PM: site (10-20% v/v), site-bond (29.5-34% v/v), and swelling (34.3-46.9% v/v).
Conclusions:
- The estimated percolation thresholds provide critical data for designing dextromethorphan.HBr solid dosage forms.
- The findings for Eudragit RS-PM align with previous research using different active pharmaceutical ingredients.
- This study reinforces the utility of percolation theory in optimizing pharmaceutical formulations and predicting material properties.