Machine Learning for the Identification of Hydration Mechanisms of Pharmaceutical-Grade Cellulose Polymers and Their Mixtures with Model Drugs

Machine Learning for the Identification of Hydration Mechanisms of Pharmaceutical-Grade Cellulose Polymers and Their Mixtures with Model Drugs

Differently bound water molecules confined in hydrated hydroxypropyl cellulose (HPC) type MF and their mixtures (1:1 <i>w</i>/<i>w</i>) with lowly soluble salicylic acid and highly soluble sodium salicylate were investigated by differential scanning calorimetry (DSC). The obt...

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Bibliographic Details
Main Authors: Przemysław Talik, Aleksander Mendyk
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
machine learning
artificial intelligence
signal decomposition
expectation–maximization algorithm
differential scanning calorimetry
DSC
Online Access:https://www.mdpi.com/2076-3417/11/16/7751

Internet

https://www.mdpi.com/2076-3417/11/16/7751

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