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Soft sensor for content prediction in an integrated continuous pharmaceutical formulation line based on the residence time distribution of unit operations.
Gyürkés, Martin; Madarász, Lajos; Záhonyi, Petra; Köte, Ákos; Nagy, Brigitta; Pataki, Hajnalka; Nagy, Zsombor Kristóf; Domokos, András; Farkas, Attila.
Afiliação
  • Gyürkés M; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.
  • Madarász L; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.
  • Záhonyi P; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.
  • Köte Á; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.
  • Nagy B; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.
  • Pataki H; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.
  • Nagy ZK; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.
  • Domokos A; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.
  • Farkas A; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.
Int J Pharm ; 624: 121950, 2022 Aug 25.
Article em En | MEDLINE | ID: mdl-35753540
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tecnologia Farmacêutica / Composição de Medicamentos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

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