Application of genetic algorithm in modelling and optimization of cellulase production. (December 2018)

• Record Type: Journal Article
• Authors: Sirohi, Ranjna; Singh, Anupama; Tarafdar, Ayon; Shahi, N.C.
• Is Part Of: Bioresource technology. Volume 270(2018)
• Page Start: 751
• Page End: 754
• Publication Date: 2018-12
• Subjects: Cellulase -- Genetic algorithm -- Pea hull -- Waste utilization; Biomass -- Periodicals; Biomass energy -- Periodicals; Bioremediation -- Periodicals; Agricultural wastes -- Periodicals; Factory and trade waste -- Periodicals; Organic wastes -- Periodicals; Bioénergie -- Périodiques; Déchets agricoles -- Périodiques; Déchets industriels -- Périodiques; Déchets organiques -- Périodiques; Déchets (Combustible) -- Périodiques; 662.88
• DOI: 10.1016/j.biortech.2018.09.105
• Languages: English
• ISSNs: 0960-8524

Abstract

Highlights: Cellulase was produced from H2 O2 pre-treated pea hulls using submerged fermentation. Second order modelling and optimization of fermentation parameters was done. Optimization potential of genetic algorithm (GA) over traditional optimizer was evaluated. Application of GA improved parameter optimization for maximum cellulase activity. Abstract: The aim of this work was to study the application of genetic algorithm (GA) in modelling and optimization of cellulose production by Trichoderma reesei from pea hull. Enzyme activity of cellulase was determined using Filter Paper Activity (FPA) assay. Optimization of process parameters was performed using mathematical (MO) and genetic optimizers to obtain combination of variables for highest possible enzyme activity. GA generated a higher value of cellulase activity (0.353 U/mL) as compared to MO (0.302 U/mL). The values of independent variables in set (GA, MO) were: agitation speed (127, 120 rpm), %H2 O2 concentration (10.36, 5.0), cultivation time (112, 91 h). The investigation highlights that GA could be used as a potential optimizer for processes involving waste utilization.