TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. Bioprocess intensification with model-assisted DoE-strategies for the production of biopharmaceuticals
 
Options

Bioprocess intensification with model-assisted DoE-strategies for the production of biopharmaceuticals

Publikationstyp
Review Article
Date Issued
2024-09-01
Sprache
English
Author(s)
Möller, Johannes  
Bioprozess- und Biosystemtechnik V-1  
Kuchemüller, Kim Beatrice  
Bioprozess- und Biosystemtechnik V-1  
Pörtner, Ralf 
Bioprozess- und Biosystemtechnik V-1  
TORE-URI
https://hdl.handle.net/11420/44748
Journal
Physical sciences reviews  
Start Page
2925
End Page
2945
Citation
Physical sciences reviews 9 (9): 2925-2945 (2024-09-01)
Publisher DOI
10.1515/psr-2022-0105
Scopus ID
2-s2.0-85205505865
Publisher
Walter de Gruyter GmbH
Is Previous Version of
uri:https://tore.tuhh.de/entities/publication/92b9af8c-828d-43fa-88a7-24924ef4c585
The demand for highly effective biopharmaceuticals and the need to reduce manufacturing costs are increasing the pressure to develop productive and efficient bioprocesses. For this purpose, model-based process design concepts have been developed. Although first approaches were proposed, model-based process designs are still not state-of-the-art for cell culture processes during development or manufacturing. This highlights a need for improved methods and tools for optimal experimental design, optimal and robust process design and process optimization for the purposes of monitoring and control during manufacturing. In this review, an overview of the state of the art of model-based methods, their applications, further challenges, possible solutions and specific case studies for intensification of process development for production of biopharmaceuticals is presented. As a special focus, problems related to data generation (culture systems, process mode, specifically designed experiments) will be addressed.
DDC Class
570: Life Sciences, Biology
572: Biochemistry
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback