Modeling the Kinetics of Complex Systems: Enzymatic Hydrolysis of Lignocellulosic Substrates
Autor: | Roberto C. Giordano, Ruy Sousa, Carlos Alberto Galeano Suarez, Felipe Fernando Furlan, Renan Gustavo da Costa Marques, Inti Doraci Cavalcanti-Montaño, Pedro Luiz da Mota e Aquino |
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Rok vydání: | 2014 |
Předmět: |
Computer science
Lignocellulosic biomass Bioengineering Computational intelligence Lignin Applied Microbiology and Biotechnology Biochemistry Fuzzy logic chemistry.chemical_compound Bioreactors Cellulase Enzymatic hydrolysis Bioreactor Animals Cluster Analysis Organic chemistry Hemicellulose Cellulose Molecular Biology Trichoderma Hydrolysis General Medicine Kinetics Models Chemical chemistry Biochemical engineering Biotechnology |
Zdroj: | Applied Biochemistry and Biotechnology. 173:1083-1096 |
ISSN: | 1559-0291 0273-2289 |
DOI: | 10.1007/s12010-014-0912-4 |
Popis: | 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. |
Databáze: | OpenAIRE |
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