期刊
APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY
卷 173, 期 5, 页码 1083-1096出版社
SPRINGER
DOI: 10.1007/s12010-014-0912-4
关键词
Cellulose; Clustering; Enzymatic hydrolysis; Enzyme kinetics; Fuzzy interpolator; Lignin
资金
- Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP-BIOEN)
- Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)
- Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)
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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