This thesis evaluates the accessibility of predicting the dissolution properties of crystals of active pharmaceutical ingredients (API) from their molecular structure on the example of aspirin. Starting from the atomistic description of the molecular interactions, a multiscale approach is followed to bridge the gap from molecular to macroscopic simulation techniques. The techniques applied are molecular dynamics, kinetic Monte Carlo simulations with molecular resolution, and approaches based on continuously formulated mass transfer equations. The successful prediction of face-specific dissolution velocities is validated by comparison with literature data and experimental assessment of aspirin dissolution using an interferometer.
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This thesis evaluates the accessibility of predicting the dissolution properties of crystals of active pharmaceutical ingredients (API) from their molecular structure on the example of aspirin. Starting from the atomistic description of the molecular interactions, a multiscale approach is followed to bridge the gap from molecular to macroscopic simulation techniques. The techniques applied are molecular dynamics, kinetic Monte Carlo simulations with molecular resolution, and approaches based on...
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