Comparing the Performance of Raman and Near-Infrared Imaging in the Prediction of the In Vitro Dissolution Profile of Extended-Release Tablets Based on Artificial Neural Networks

In this work, the performance of two fast chemical imaging techniques, Raman and near-infrared (NIR) imaging is compared by utilizing these methods to predict the rate of drug release from sustained-release tablets. Sustained release is provided by adding hydroxypropyl methylcellulose (HPMC), as its...

Descripción completa

Detalles Bibliográficos
Autores principales: Galata, Dorián László, Gergely, Szilveszter, Nagy, Rebeka, Slezsák, János, Ronkay, Ferenc, Nagy, Zsombor Kristóf, Farkas, Attila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534500/
https://www.ncbi.nlm.nih.gov/pubmed/37765051
http://dx.doi.org/10.3390/ph16091243

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534500/
https://www.ncbi.nlm.nih.gov/pubmed/37765051
http://dx.doi.org/10.3390/ph16091243

Ejemplares similares