Titel: Multi-objective optimization of glycopeptide antibiotic production in batch and fed batch processes
Type: Journal articleJournal article
Person(er):
Forfatter:  Maiti, Soumen K.
Indian Institute of Technology Bombay, Department of Chemical Engineering

Forfatter:  Eliasson Lantz, Anna (Cwisno: 9193)
Technical University of Denmark
Email:

Forfatter:  Bhushan, Mani
Indian Institute of Technology Bombay, Department of Chemical Engineering

Forfatter:  Wangikar, Pramod P.
Indian Institute of Technology Bombay, Department of Chemical Engineering
Uddrag: Fermentation optimization involves potentially conflicting multiple objectives such as product concentration and production media cost. Simultaneous optimization of these objectives would result in a multiobjective optimization problem, which is characterized by a set of multiple solutions, knows as pareto optimal solutions. These solutions gives flexibility in evaluating the trade-offs and selecting the most suitable operating policy. Here, ε-constraint approach was used to generate the pareto solutions for two objectives: product concentration and product per unit cost of media, for batch and fed batch operations using process model for Amycolatopsis balhimycina, a glycopeptide antibiotic producer. This resulted in a set of several pareto optimal solutions with the two objectives ranging from (0.75gl−1, 3.97g$-1) to (0.44gl−1, 5.19g$-1) for batch and from (1.5gl−1, 5.46g$-1) to (1.1gl−1, 6.34g$-1) for fed batch operations. One pareto solution each for batch and for fed batch mode was experimentally validated.
Publiceret: in journal: Bioresource Technology (ISSN: 0960-8524) (DOI: http://dx.doi.org/10.1016/j.biortech.2011.03.095), vol: 102, issue: 13, pages: 6951-6958, 2011
DOI:
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