• DocumentCode
    3168681
  • Title

    Multiple-input cultivation model based optimization of penicillin production

  • Author

    Pcolka, Matej ; Celikovsky, Sergej

  • Author_Institution
    Dept. of Control Eng. (DCE), Czech Tech. Univ. (CTU) in Prague, Praha, Czech Republic
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    7075
  • Lastpage
    7080
  • Abstract
    Unlike prevailing contemporary approach considering the influx feed flow as the only crucial input influencing the final product concentration in bioprocess cultivation, the current paper considers other (non-nutritional) inputs as well. Among them, the volume withdrawal is an important option. Two types of control strategies employing this second input are considered here, each of them using it in a different way. First, the so-called quasi-double-input strategies exploit the broth withdrawal to follow a pre-determined volume profile. Second, the true-double-input strategies consider the second input as a completely independent optimization variable. Main analysis tool here is the gradient optimization numerical algorithm and its adaptations. All resulting strategies are summarized and formulated in the context of optimization, those introduced earlier (i.e., the quasi-double-input) are unified into a common general strategy. Practical complication (inadmissible volume decrease) related to withdrawal introduction is successfully addressed and the summary results show indisputable improvement gained by the non-nutrient input introduction.
  • Keywords
    biotechnology; drugs; gradient methods; optimisation; pharmaceutical technology; bioprocess cultivation; broth withdrawal; control strategies; feedback; final product concentration; gradient optimization numerical algorithm; independent optimization variable; influx feed flow; multiple-input cultivation model; nonnutrient input introduction; penicillin production optimization; quasidouble-input strategies; true-double-input strategies; volume profile; volume withdrawal; Biomass; Equations; Feeds; Mathematical model; Optimization; Production; Substrates;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6426276
  • Filename
    6426276