Directed optimization of biocatalytic transglycosylation processes by the integration of genetic algorithms and fermentative approaches into a kinetic model

Beine, Rafael; Valente, Alfred Rocas; Biedendieck, Rebekka; Jahn, Dieter; Seibel, Jürgen

doi:10.1016/j.procbio.2009.06.001

Cited by 2 publications

(1 citation statement)

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“…Giordano et al 2011 [26] reported the efficient problem solving approach of GA-coupled Plackett-Burman methodology in enzymatic hydrolysis of lignocellulosic residues. An optimized result has also been reported for the optimization of biocatalytic transglycosylation processes using GA approach [27]. Moreover the enhanced optimizing capability of genetic algorithm has been acknowledged in case of industrial enzymes production.…”

Section: Artificial Intelligence-based Optimizationmentioning

confidence: 98%

Modeling, Simulation, and Kinetic Studies of Solvent‐Free Biosynthesis of Benzyl Acetate

Garlapati

Kumari

Mahapatra

et al. 2013

Journal of Chemistry

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Solvent-free biosynthesis of benzyl acetate through immobilized lipase-mediated transesterification has been modeled and optimized through statistical integrated artificial intelligence approach. A nonlinear response surface model has been successfully developed based on central composite design with transesterification variables, namely, molarity of alcohol, reaction time, temperature, and immobilized lipase amount as input variables and molar conversion (%) as an output variable. Statistical integrated genetic algorithm optimization approach results in an optimized molar conversion of 96.32% with the predicted transesterification variables of 0.47 M alcohol molarity in a reaction time of 13.1 h, at 37.5 ∘ C using 13.31 U of immobilized lipase. Immobilized lipase withstands more than 98% relative activity up to 6 recycles and maintains 50% relative activity until 12 recycles. The kinetic constants of benzyl acetate, namely, and max were found to be 310 mM and 0.10 mmol h −1 g −1 , respectively.

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Section: Artificial Intelligence-based Optimizationmentioning

confidence: 98%