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

Kapourani, Afroditi; Valkanioti, Vasiliki; Kontogiannopoulos, Konstantinos N; Barmpalexis, Panagiotis

Kapourani, Afroditi; Valkanioti, Vasiliki; Kontogiannopoulos, Konstantinos N; Barmpalexis, Panagiotis.

Afiliação

Kapourani A; Department of Pharmaceutical Technology, School of Pharmacy, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece.
Valkanioti V; Department of Pharmaceutical Technology, School of Pharmacy, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece.
Kontogiannopoulos KN; Department of Pharmaceutical Technology, School of Pharmacy, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece.
Barmpalexis P; Ecoresources P.C., 15-17 Giannitson-Santaroza Str., Thessaloniki 54627, Greece.

Int J Pharm X ; 2: 100064, 2020 Dec.

Article em En | MEDLINE | ID: mdl-33354666

Palavras-chave

ATR-FTIR spectroscopy; Amorphous solid dispersions; Artificial neural networks; Partial least square regression; Principle component analysis; Quantification method

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Pharm X Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Grécia

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