Optimization of Bioreactor Using Metabolic Control Analysis Approach

Konde, Kakasaheb S and Modak, Jayant M (2007) Optimization of Bioreactor Using Metabolic Control Analysis Approach. In: Biotechnology Progress, 23 (2). pp. 370-380.

PDF full.pdf Restricted to Registered users only Download (140kB) | Request a copy

Abstract

A new methodology based on a metabolic control analysis (MCA) approach is developed for the optimization of continuous cascade bioreactor system. A general framework for representation of a cascade bioreactor system consisting of a large number of reactors as a single network is proposed. The kinetic and transport processes occurring in the system are represented as a reaction network with appropriate stoichiometry. Such representation of the bioreactor systems makes it amenable to the direct application of the MCA approach. The process sensitivity information is extracted using MCA methodology in the form of flux and concentration control coefficients.The process sensitivity information is shown to be a useful guide for determining the choice of decision variables for the purpose of optimization. A generalized problem of optimization of the bioreactor is formulated in which the decision variables are the operating conditions and kinetic parameters. The gradient of the objective function to be maximized with respect to all decision variables is obtained in the form of response coefficients. This gradient information can be used in any gradient-based optimization algorithm. The efficiency of the proposed technique is demonstrated with two examples taken from literature: biotransformation of crotonobetaine and alcohol fermentation in cascade bioreactor system.

Item Type:	Journal Article
Publication:	Biotechnology Progress
Publisher:	American Chemical Society
Additional Information:	Copyright of this article belongs to American Chemical Society.
Department/Centre:	Division of Mechanical Sciences > Chemical Engineering
Date Deposited:	28 Jul 2008
Last Modified:	19 Sep 2010 04:48
URI:	http://eprints.iisc.ac.in/id/eprint/15279

Actions (login required)

View Item