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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Dorián László Galata (Author), Szilveszter Gergely (Author), Rebeka Nagy (Author), János Slezsák (Author), Ferenc Ronkay (Author), Zsombor Kristóf Nagy (Author), Attila Farkas (Author)
Format: Book
Published: MDPI AG, 2023-09-01T00:00:00Z.
Subjects:
article
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

Connect to this object online.

3rd Floor Main Library

Holdings details from 3rd Floor Main Library
Call Number: A1234.567
Copy 1 Available

Similar Items