Raman-based real-time dissolution prediction using a deterministic permeation model.

Horkovics-Kovats, Stefan; László Galata, Dorián; Zlatos, Pavol; Nagy, Brigitta; Alexandra Mészáros, Lilla; Kristóf Nagy, Zsombor

Horkovics-Kovats, Stefan; László Galata, Dorián; Zlatos, Pavol; Nagy, Brigitta; Alexandra Mészáros, Lilla; Kristóf Nagy, Zsombor.

Afiliação

Horkovics-Kovats S; SHK, s.r.o., Krná 26, 985 25 Krná, Slovakia. Electronic address: stefan.horkovics-kovats@shk.sk.
László Galata D; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, 1111 Budapest, Muegyetem rakpart 3, Hungary. Electronic address: laszlo@vbk.bme.hu.
Zlatos P; Faculty of Mathematics, Physics and Informatics, Comenius University, Mlynská dolina, 84248 Bratislava, Slovakia.
Nagy B; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, 1111 Budapest, Muegyetem rakpart 3, Hungary.
Alexandra Mészáros L; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, 1111 Budapest, Muegyetem rakpart 3, Hungary.
Kristóf Nagy Z; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, 1111 Budapest, Muegyetem rakpart 3, Hungary.

Int J Pharm ; 617: 121624, 2022 Apr 05.

Article em En | MEDLINE | ID: mdl-35231548

Assuntos

Metilcelulose; Preparações de Ação Retardada; Derivados da Hipromelose; Solubilidade; Comprimidos

Palavras-chave

Dissolution prediction; Hydroxypropyl methylcellulose; Process Analytical Technology; Raman spectroscopy; Real-Time Release testing; S-ADAPT

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Metilcelulose Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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