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@ARTICLE{Morschett:893108,
      author       = {Morschett, Holger and Tenhaef, Niklas and Hemmerich,
                      Johannes and Herbst, Laura and Spiertz, Markus and Dogan,
                      Deniz and Wiechert, Wolfgang and Noack, Stephan and Oldiges,
                      Marco},
      title        = {{R}obotic integration enables autonomous operation of
                      laboratory scale stirred tank bioreactors with
                      model‐driven process analysis},
      journal      = {Biotechnology $\&$ bioengineering},
      volume       = {118},
      number       = {7},
      issn         = {1097-0290},
      address      = {New York, NY [u.a.]},
      publisher    = {Wiley},
      reportid     = {FZJ-2021-02566},
      pages        = {2759-2769},
      year         = {2021},
      abstract     = {Given its geometric similarity to large-scale production
                      plants and the excellent possibilities for precise process
                      control and monitoring, the classic stirred tank bioreactor
                      (STR) still represents the gold standard for bioprocess
                      development at a laboratory scale. However, compared to
                      microbioreactor technologies, bioreactors often suffer from
                      a low degree of process automation and deriving key
                      performance indicators (KPIs) such as specific rates or
                      yields often requires manual sampling and sample processing.
                      A widely used parallelized STR setup was automated by
                      connecting it to a liquid handling system and controlling it
                      with a custom-made process control system. This allowed for
                      the setup of a flexible modular platform enabling autonomous
                      operation of the bioreactors without any operator present.
                      Multiple unit operations like automated inoculation,
                      sampling, sample processing and analysis, and decision
                      making, for example for automated induction of protein
                      production were implemented to achieve such functionality.
                      The data gained during application studies was used for
                      fitting of bioprocess models to derive relevant KPIs being
                      in good agreement with literature. By combining the
                      capabilities of STRs with the flexibility of liquid handling
                      systems, this platform technology can be applied to a
                      multitude of different bioprocess development pipelines at
                      laboratory scale.},
      cin          = {IBG-1},
      ddc          = {570},
      cid          = {I:(DE-Juel1)IBG-1-20101118},
      pnm          = {2172 - Utilization of renewable carbon and energy sources
                      and engineering of ecosystem functions (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2172},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:33871051},
      UT           = {WOS:000646768600001},
      doi          = {10.1002/bit.27795},
      url          = {https://juser.fz-juelich.de/record/893108},
}