Application of genetic algorithm in modelling and optimization of cellulase production

Ranjna Sirohi; Anupama Singh; Ayon Tarafdar; N C Shahi

doi:10.1016/j.biortech.2018.09.105

Application of genetic algorithm in modelling and optimization of cellulase production

Bioresour Technol. 2018 Dec:270:751-754. doi: 10.1016/j.biortech.2018.09.105. Epub 2018 Sep 21.

Authors

Ranjna Sirohi¹, Anupama Singh², Ayon Tarafdar², N C Shahi²

Affiliations

¹ Department of Postharvest Process and Food Engineering, College of Technology, G.B. Pant, University of Agriculture and Technology, Pantnagar 263 145, Uttarakhand, India. Electronic address: ranjanabce@gmail.com.
² Department of Postharvest Process and Food Engineering, College of Technology, G.B. Pant, University of Agriculture and Technology, Pantnagar 263 145, Uttarakhand, India.

PMID: 30270051
DOI: 10.1016/j.biortech.2018.09.105

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), %H₂O₂ 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.

Keywords: Cellulase; Genetic algorithm; Pea hull; Waste utilization.

MeSH terms

Algorithms
Cellulase / biosynthesis*
Cellulase / genetics
Cellulose / biosynthesis*
Hydrogen Peroxide / metabolism
Pisum sativum / metabolism
Trichoderma / enzymology

Substances

Cellulose
Hydrogen Peroxide
Cellulase