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Updated: May 3, 2026

Coherent anti-Stokes Raman Scattering CARS Microscopy Visualizes Pharmaceutical Tablets During Dissolution
Published on: July 4, 2014
Resolving drug release mechanisms of amorphous solid dispersions using optical coherence tomography
Daniel Powell1, Ecaterina Bordos1, John Robertson1
1CMAC, University of Strathclyde, Glasgow, UK; Strathclyde Institute of Pharmacy & Biomedical Sciences, University of Strathclyde, Glasgow, UK.
Abstract:
This study presents an integrated approach utilising optical coherence tomography (OCT) to investigate the drug release mechanisms of hot-melt extruded (HME) amorphous solid dispersions (ASDs) of ritonavir and Soluplus®. Ritonavir-Soluplus® extrudates were prepared via HME using a twin-screw extruder and characterized during dissolution using a custom-designed 3D-printed flow cell, which enabled in-situ OCT imaging and continuous UV-vis monitoring of drug release. OCT provided high-resolution, time resolved visualization of structural transformations within the dissolving extrudates, while UV-vis spectroscopy quantified active pharmaceutical ingredient (API) release kinetics. Results revealed a multiphase dissolution mechanism involving sequential surface film formation, polymer swelling, delamination, and erosion. Increasing drug loading (10-30% w/w) produced marked effects on dissolution behaviour: formulations above 14% exhibited delayed release onset, extended swelling phases, and reduced overall release efficiency. OCT data showed that drug loadings above 14% led to slower erosion rates, greater swelling, and prolonged structural integrity, correlating with delayed UV-vis release profiles. Image processing using a machine learning segmentation model enabled quantitative extraction of sample cross-sectional area, confirming load-dependent swelling and erosion dynamics. Together, these findings establish a mechanistic link between structural evolution and release kinetics in HME ASDs and demonstrate the capability of OCT to provide real-time, non-destructive insight into solid dosage form dissolution. This methodology offers a powerful framework for optimizing ASD formulations and enhancing the predictive understanding of drug release mechanisms.
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