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
Link To Document