title: Significant factors selection in the chemical and enzymatic hydrolysis of lignocellulosic residues by a genetic algorithm analysis and comparison with the standard Plackett-Burman methodology.
abstract: A comparison between the classic Plackett-Burman design (PB) ANOVA analysis and a genetic algorithm (GA) approach to identify significant factors have been carried out. This comparison was made by applying both analyses to data obtained from the experimental results when optimizing both chemical and enzymatic hydrolysis of three lignocellulosic feedstocks (corn and wheat bran, and pine sawdust) by a PB experimental design. Depending on the kind of biomass and the hydrolysis being considered, different results were obtained. Interestingly, some interactions were found to be significant by the GA approach and allowed to identify significant factors, that otherwise, based only in the classic PB analysis, would have not been taken into account in a further optimization step. Improvements in the fitting of c.a. 80% were obtained when comparing the coefficient of determination (R2) computed for both methods.
authors.affiliation: Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, CC 242 (S3000ZAA) Santa Fe, Argentina.
authors.forename: Pablo C
authors.initials: PC
authors.lastname: Giordano
authors.forename: Alejandro J
authors.initials: AJ
authors.lastname: Beccaria
authors.forename: Héctor C
authors.initials: HC
authors.lastname: Goicoechea
mesh_terms: D000465:Algorithms; D002480:Cellulase / Q000378:metabolism*; D004043:Dietary Fiber / Q000032:analysis; D006868:Hydrolysis; D008031:Lignin / Q000378:metabolism*; D015233:Models, Statistical; D028223:Pinus / Q000737:chemistry; D013464:Sulfuric Acids / Q000378:metabolism*; D014242:Trichoderma / Q000201:enzymology*; D014866:Waste Products / Q000032:analysis; D003313:Zea mays / Q000737:chemistry
chemical_list: D004043:Dietary Fiber; D013464:Sulfuric Acids; D014866:Waste Products; C036909:lignocellulose; D008031:Lignin; D002480:Cellulase; C033158:sulfuric acid