Article ID Journal Published Year Pages File Type
681705 Bioresource Technology 2011 8 Pages PDF
Abstract

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 (0.75 g l−1, 3.97 g $-1) to (0.44 g l−1, 5.19 g $-1) for batch and from (1.5 g l−1, 5.46 g $-1) to (1.1 g l−1, 6.34 g $-1) for fed batch operations. One pareto solution each for batch and for fed batch mode was experimentally validated.

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Physical Sciences and Engineering Chemical Engineering Process Chemistry and Technology
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