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Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology-A Review.
Casian, Tibor; Nagy, Brigitta; Kovács, Béla; Galata, Dorián László; Hirsch, Edit; Farkas, Attila.
Afiliação
  • Casian T; Department of Pharmaceutical Technology and Biopharmacy, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
  • Nagy B; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111 Budapest, Hungary.
  • Kovács B; Department of Biochemistry and Environmental Chemistry, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș, 540139 Târgu Mureș, Romania.
  • Galata DL; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111 Budapest, Hungary.
  • Hirsch E; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111 Budapest, Hungary.
  • Farkas A; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111 Budapest, Hungary.
Molecules ; 27(15)2022 Jul 28.
Article em En | MEDLINE | ID: mdl-35956791
ABSTRACT
The release of the FDA's guidance on Process Analytical Technology has motivated and supported the pharmaceutical industry to deliver consistent quality medicine by acquiring a deeper understanding of the product performance and process interplay. The technical opportunities to reach this high-level control have considerably evolved since 2004 due to the development of advanced analytical sensors and chemometric tools. However, their transfer to the highly regulated pharmaceutical sector has been limited. To this respect, data fusion strategies have been extensively applied in different sectors, such as food or chemical, to provide a more robust performance of the analytical platforms. This survey evaluates the challenges and opportunities of implementing data fusion within the PAT concept by identifying transfer opportunities from other sectors. Special attention is given to the data types available from pharmaceutical manufacturing and their compatibility with data fusion strategies. Furthermore, the integration into Pharma 4.0 is discussed.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tecnologia Farmacêutica / Indústria Farmacêutica Tipo de estudo: Prognostic_studies País/Região como assunto: America do norte Idioma: En Revista: Molecules Assunto da revista: BIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Romênia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tecnologia Farmacêutica / Indústria Farmacêutica Tipo de estudo: Prognostic_studies País/Região como assunto: America do norte Idioma: En Revista: Molecules Assunto da revista: BIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Romênia