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@ARTICLE{Hornung:843827,
      author       = {Hornung, Raphael and Grünberger, Alexander and
                      Westerwalbesloh, Christoph and Kohlheyer, Dietrich and
                      Gompper, Gerhard and Elgeti, Jens},
      title        = {{Q}uantitative modelling of nutrient-limited growth of
                      bacterial colonies in microfluidic cultivation},
      journal      = {Interface},
      volume       = {15},
      number       = {139},
      issn         = {1742-5662},
      address      = {London},
      publisher    = {The Royal Society},
      reportid     = {FZJ-2018-01366},
      pages        = {20170713 -},
      year         = {2018},
      abstract     = {Nutrient gradients and limitations play a pivotal role in
                      the life of all microbes, both in their natural habitat as
                      well as in artificial, microfluidic systems. Spatial
                      concentration gradients of nutrients in densely packed cell
                      configurations may locally affect the bacterial growth
                      leading to heterogeneous micropopulations. A detailed
                      understanding and quantitative modelling of cellular
                      behaviour under nutrient limitations is thus highly
                      desirable. We use microfluidic cultivations to investigate
                      growth and microbial behaviour of the model organism
                      Corynebacterium glutamicum under well-controlled conditions.
                      With a reaction–diffusion-type model, parameters are
                      extracted from steady-state experiments with a
                      one-dimensional nutrient gradient. Subsequently, we employ
                      particle-based simulations with these parameters to predict
                      the dynamical growth of a colony in two dimensions.
                      Comparing the results of those simulations with microfluidic
                      experiments yields excellent agreement. Our modelling
                      approach lays the foundation for a better understanding of
                      dynamic microbial growth processes, both in nature and in
                      applied biotechnology.},
      cin          = {IBG-1 / ICS-2},
      ddc          = {500},
      cid          = {I:(DE-Juel1)IBG-1-20101118 / I:(DE-Juel1)ICS-2-20110106},
      pnm          = {581 - Biotechnology (POF3-581)},
      pid          = {G:(DE-HGF)POF3-581},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000426464000003},
      pubmed       = {pmid:29445038},
      doi          = {10.1098/rsif.2017.0713},
      url          = {https://juser.fz-juelich.de/record/843827},
}