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Published on: July 4, 2014
Microscope-enabled disc dissolution system: Concordance between drug and polymer dissolution from an amorphous solid
Shuaiqian Men1, James E Polli1
1Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, MD 21201, USA.
A new microscope-enabled disc dissolution system (MeDDiS) accurately predicts drug and polymer release from amorphous solid dispersions (ASD). Imaging of dissolving ASD discs correlated with measured release profiles, identifying critical drug load limits.
Area of Science:
- Pharmaceutical Sciences
- Materials Science
- Drug Delivery Systems
Background:
- Amorphous solid dispersions (ASD) are crucial for enhancing drug solubility.
- Predicting the drug load dispersibility limit in ASDs is essential for formulation development.
- Existing methods for assessing ASD performance often lack real-time visual feedback.
Purpose of the Study:
- To develop a novel microscope-enabled disc dissolution system (MeDDiS) with a larger dissolution volume (900 mL).
- To evaluate the concordance between imaging data from MeDDiS and traditional dissolution measurements.
- To assess MeDDiS's ability to predict drug and polymer release profiles across varying drug loads in ASDs.
Main Methods:
- Fabrication of ASD discs containing ritonavir and PVPVA at different drug loads (5-50%).
- Utilizing a digital microscope integrated into a 1-liter dissolution vessel (MeDDiS) for real-time imaging.
- Quantifying changes in disc diameter over time and measuring ritonavir and PVPVA release.
Main Results:
- MeDDiS imaging demonstrated strong concordance with measured drug and polymer dissolution profiles.
- A critical drug load 'cliff' was identified around 30% ritonavir load, below which release significantly decreased.
- MeDDiS successfully predicted both high and low release profiles above and below this identified drug load limit.
Conclusions:
- The developed MeDDiS provides a promising tool for real-time assessment of ASD dissolution behavior.
- MeDDiS imaging can accurately predict drug and polymer release, aiding in the determination of optimal ASD drug loads.
- This method offers valuable insights into ASD performance, particularly around critical formulation limits.
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