The use of predictive models to develop chromatography-based purification processes.

Bernau, C R; Knödler, M; Emonts, J; Jäpel, R C; Buyel, J F

Bernau, C R; Knödler, M; Emonts, J; Jäpel, R C; Buyel, J F.

Afiliação

Bernau CR; Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Aachen, Germany.
Knödler M; Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Aachen, Germany.
Emonts J; Institute for Molecular Biotechnology, RWTH Aachen University, Aachen, Germany.
Jäpel RC; Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Aachen, Germany.
Buyel JF; Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Aachen, Germany.

Front Bioeng Biotechnol ; 10: 1009102, 2022.

Article em En | MEDLINE | ID: mdl-36312533

Palavras-chave

Data-driven models; biopharmaceutical production process; downstream processing design; experiment quality; hybrid model validation; mechanistic modeling; protein separation; quality by design

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Bioeng Biotechnol Ano de publicação: 2022 Tipo de documento: Article

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