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

• मुख्य लेखकों: Dorián László Galata (लेखक), Szilveszter Gergely (लेखक), Rebeka Nagy (लेखक), János Slezsák (लेखक), Ferenc Ronkay (लेखक), Zsombor Kristóf Nagy (लेखक), Attila Farkas (लेखक)
• स्वरूप: पुस्तक
• प्रकाशित: MDPI AG, 2023-09-01T00:00:00Z.
• विषय: article
• ऑनलाइन पहुंच: Connect to this object online.

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...