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@ARTICLE{He:875084,
      author       = {He, Qiao-Le and von Lieres, Eric and Sun, Zhaoxi and Zhao,
                      Liming},
      title        = {{M}odel-based process design of a ternary protein
                      separation using multi-step gradient ion-exchange {SMB}
                      chromatography},
      journal      = {Computers $\&$ chemical engineering},
      volume       = {138},
      issn         = {0098-1354},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2020-01793},
      pages        = {106851},
      year         = {2020},
      abstract     = {Model-based process design of ion-exchange simulated moving
                      bed (iex-smb) chromatography for center-cut separation of
                      proteins is studied. Use of nonlinear binding models that
                      describe more accurate adsorption behaviors of
                      macro-molecules could make it impossible to utilize triangle
                      theory to obtain operating parameters. Moreover, triangle
                      theory provides no rules to design salt profiles in iex-smb.
                      In the modeling study here, proteins (i.e., ribonuclease,
                      cytochrome and lysozyme) on chromatographic columns packed
                      with strong cation-exchanger SP Sepharose FF is used as an
                      example system. The general rate model with steric
                      mass-action kinetics was used; two closed-loop iex-smb
                      network schemes were investigated (i.e., cascade and
                      eight-zone schemes). Performance of the iex-smb schemes was
                      examined with respect to multi-objective indicators (i.e.,
                      purity and yield) and productivity, and compared to a single
                      column batch system with the same amount of resin utilized.
                      A multi-objective sampling algorithm, Markov Chain Monte
                      Carlo (mcmc), was used to generate samples for constructing
                      Pareto optimal fronts. mcmc serves on the sampling purpose,
                      which is interested in sampling the Pareto optimal points as
                      well as those near Pareto optimal. Pareto fronts of the
                      three schemes provide full information on the trade-off
                      between the conflicting indicators, purity and yield here.
                      The results indicate that the cascade iex-smb scheme and the
                      integrated eight-zone iex-smb scheme have similar
                      performance and that both outperforms the single column
                      batch system.},
      cin          = {IBG-1},
      ddc          = {660},
      cid          = {I:(DE-Juel1)IBG-1-20101118},
      pnm          = {583 - Innovative Synergisms (POF3-583)},
      pid          = {G:(DE-HGF)POF3-583},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000538049100009},
      doi          = {10.1016/j.compchemeng.2020.106851},
      url          = {https://juser.fz-juelich.de/record/875084},
}