Determination of the physical state of a drug in amorphous solid dispersions using artificial neural networks and ATR-FTIR spectroscopy

Determination of the physical state of a drug in amorphous solid dispersions using artificial neural networks and ATR-FTIR spectroscopy

The objective of the present study was to evaluate the use of artificial neural networks (ANNs) in the development of a new chemometric model that will be able to simultaneously distinguish and quantify the percentage of the crystalline and the neat amorphous drug located within the drug-rich amorph...

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Bibliographic Details
Main Authors: Afroditi Kapourani, Vasiliki Valkanioti, Konstantinos N. Kontogiannopoulos, Panagiotis Barmpalexis
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:International Journal of Pharmaceutics: X
Subjects:
ATR-FTIR spectroscopy
Amorphous solid dispersions
Quantification method
Artificial neural networks
Partial least square regression
Principle component analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2590156720300268

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http://www.sciencedirect.com/science/article/pii/S2590156720300268

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