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@ARTICLE{Loomba:847885,
      author       = {Loomba, Varun and Huber, Gregor and von Lieres, Eric},
      title        = {{S}ingle-cell computational analysis of light harvesting in
                      a flat-panel photo-bioreactor},
      journal      = {Biotechnology for biofuels},
      volume       = {11},
      number       = {1},
      issn         = {1754-6834},
      address      = {London},
      publisher    = {BioMed Central},
      reportid     = {FZJ-2018-03211},
      pages        = {149},
      year         = {2018},
      abstract     = {BackgroundFlat-panel photo-bioreactors (PBRs) are
                      customarily applied for investigating growth of microalgae.
                      Optimal design and operation of such reactors is still a
                      challenge due to complex non-linear combinations of various
                      impact factors, particularly hydrodynamics, light
                      irradiation, and cell metabolism. A detailed analysis of
                      single-cell light reception can lead to novel insights into
                      the complex interactions of light exposure and algae
                      movement in the reactor.ResultsThe combined impacts of
                      hydrodynamics and light irradiation on algae cultivation in
                      a flat-panel PBR were studied by tracing the light exposure
                      of individual cells over time. Hydrodynamics and turbulent
                      mixing in this air-sparged bioreactor were simulated using
                      the Eulerian approach for the liquid phase and a slip model
                      for the gas phase velocity profiles. The liquid velocity was
                      then used for tracing single cells and their light exposure,
                      using light intensity profiles obtained from solving the
                      radiative transfer equation at different wavelengths. The
                      residence times of algae cells in defined dark and light
                      zones of the PBR were statistically analyzed for different
                      algal concentrations and sparging rates. The results
                      indicate poor mixing caused by the reactor design which can
                      be only partially improved by increased sparging
                      rates.ConclusionsThe results provide important information
                      for optimizing algal biomass productivity by improving
                      bioreactor design and operation and can further be utilized
                      for an in-depth analysis of algal growth by using advanced
                      models of cell metabolism.},
      cin          = {IBG-1 / IBG-2},
      ddc          = {570},
      cid          = {I:(DE-Juel1)IBG-1-20101118 / I:(DE-Juel1)IBG-2-20101118},
      pnm          = {583 - Innovative Synergisms (POF3-583)},
      pid          = {G:(DE-HGF)POF3-583},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:29849766},
      UT           = {WOS:000433989900001},
      doi          = {10.1186/s13068-018-1147-3},
      url          = {https://juser.fz-juelich.de/record/847885},
}