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Updated: Jan 28, 2026

Dissolution Dynamic Nuclear Polarization Instrumentation for Real-time Enzymatic Reaction Rate Measurements by NMR
Published on: February 23, 2016
Model-based description of disintegration time and dissolution rate of nanoparticle-loaded orodispersible films
Denise Steiner1, Jan Henrik Finke1, Arno Kwade1
1Institute for Particle Technology, Technische Universität Braunschweig, Germany; PVZ - Center of Pharmaceutical Engineering, Technische Universität Braunschweig, Germany.
Abstract:
The embedding of nanoparticles in orodispersible films (ODFs) is an innovative strategy to improve the bioavailability of poorly water-soluble active pharmaceutical ingredients (API). As the films are supposed to disintegrate within seconds when placed in the mouth, the disintegration time of the ODFs as well as the dissolution behavior of the API are of great interest. This study introduces a new possibility for a model-based description of these film properties to enable a prediction for the process layout for the manufacturing of the nanoparticle-loaded ODFs. Furthermore, this fundamental understanding can provide information on process robustness as a tool applied in future Quality by Design (QbD) approaches. The disintegration times of the nanoparticle-containing ODFs were measured with the SFaB method (slide frame and ball) and could be mathematically described considering the impact of the particle load and the dry film thickness on the disintegration behavior. Furthermore, it is considered if the films are disintegrated at the calculated time with a probability of 50% or any other probability. Besides the disintegration time, a clear influence of film parameters like the particle load, size of the embedded particles, film thickness and sample sizes was shown which affect the dissolution rate of the API from the ODF. The second model developed in the study identified a clear correlation between the total surface area of API particles in the film and the dissolution rate of the API, to predict the time period needed to release the API embedded in the ODFs.
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