Modeling the kinetics of complex systems: enzymatic hydrolysis of lignocellulosic substrates
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Data
2014
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Resumo
Lignocellulosic biomass is mainly composed of cellulose, hemicellulose, and lignin.
Fuzzy logic, in turn, is a branch of many-valued logic based on the paradigm of inference
under vagueness. This paper presents a methodology, based on computational intelligence, for
modeling the kinetics of a complex reactional system. The design of a fuzzy interpolator to
model cellulose hydrolysis is reported, within the perspective of applying kinetic models in
bioreactor engineering. Experimental data for various types of lignocellulosic materials were
used to develop the interpolator. New experimental data from the enzymatic hydrolysis of a
synthetic substrate, on the other hand, were used to validate the methodology. The accuracy of
the results indicates that this is a promising approach to extend the application of models fitted
for specific situations to different cases, thus enhancing their generality.
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Clustering, Enzymekinetics, Enzymatic hydrolysis, Fuzzy interpolator, Lignin
Citação
GALENO SUAREZ, Carlos Alberto et al. Modeling the kinetics of complex systems: enzymatic hydrolysis of lignocellulosic substrates. Applied Biochemistry and Biotechnology, Clifton, v. 173, p. 1, 2014.