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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Optimization Strategies Based on Sequential Quadratic Programming Applied for a Fermentation Process for Butanol Production

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Author(s):
Mariano, Adriano Pinto [1] ; Borba Costa, Caliane Bastos [1] ; de Angelis, Dejanira de Franceschi [2] ; Maugeri Filho, Francisco [3] ; Pires Atala, Daniel Ibraim [3] ; Wolf Maciel, Maria Regina [1] ; Maciel Filho, Rubens [1]
Total Authors: 7
Affiliation:
[1] Univ Campinas UNICAMP, Lab Optimizat Design & Adv Control LOPCA, Sch Chem Engn, BR-13083970 Campinas, SP - Brazil
[2] Sao Paulo State Univ UNESP, Inst Biosci, Dept Biochem & Microbiol, BR-13506900 Rio Claro, SP - Brazil
[3] Univ Campinas UNICAMP, Lab Bioproc Engn, Sch Food Engn, BR-13081970 Campinas, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: Applied Biochemistry and Biotechnology; v. 159, n. 2, p. 366-381, NOV 2009.
Web of Science Citations: 13
Abstract

In this work, the mathematical optimization of a continuous flash fermentation process for the production of biobutanol was studied. The process consists of three interconnected units, as follows: fermentor, cell-retention system (tangential microfiltration), and vacuum flash vessel (responsible for the continuous recovery of butanol from the broth). The objective of the optimization was to maximize butanol productivity for a desired substrate conversion. Two strategies were compared for the optimization of the process. In one of them, the process was represented by a deterministic model with kinetic parameters determined experimentally and, in the other, by a statistical model obtained using the factorial design technique combined with simulation. For both strategies, the problem was written as a nonlinear programming problem and was solved with the sequential quadratic programming technique. The results showed that despite the very similar solutions obtained with both strategies, the problems found with the strategy using the deterministic model, such as lack of convergence and high computational time, make the use of the optimization strategy with the statistical model, which showed to be robust and fast, more suitable for the flash fermentation process, being recommended for real-time applications coupling optimization and control. (AU)