ISSN 2456-0235

International Journal of Modern Science and Technology


​​​​​​​February 2020, Vol. 5, No. 2, pp. 45-58. 

​​Experimental Validation of Optimization by Statistical and CFD Simulation methods for Cellulase Production from Waste Lignocellulosic Mixture

R. Navnit kumar¹, T. R. Sambavi¹, G. Baskar², S. Renganathan¹*
¹,* Biofuel Laboratory, Center for Biotechnology, Anna University, Chennai – 600025.
²Department of Biotechnology, St. Joseph’s College of Engineering, Chennai – 600119.

​​*Corresponding author’s e-mail:


Cellulase production poses a challenge to the biofuel industries. In the present work, a mixture of surgical waste cotton and packaging card board was used for cellulase production, employing Trichoderma harzanium ATCC 20846. For a Submerged Fermentation (SMF), a statistical optimization was performed using Response Surface Methodology (RSM) for the following parameters: agitation, Dissolved Oxygen% (DO), aeration, viscosity, and temperature. Additionally, a Computational Fluid Dynamic (CFD) simulation was performed to study the optimum broth viscosity. A cellulase production SMF (model validation) performed using the parameter values given by the design and simulation yielded enzyme activities of: 1.85±0.1 FPU/mL; 12.4±0.2 CMCase/mL; 743±0.1 Xylanase/mL; and 3165.8±0.25 Beta-glucosidase/mL. 12% variation was seen from the predicted results. Furthermore, the biomass yield coefficients (Yx/s, Yx/O2); Oxygen Uptake Rate (OUR); maintenance coefficients (mO2x);mass transfer coefficient (KLa); Oxygen Transfer Rate (OTR); and the effects of viscosity and sugar accumulation on cellulase production were studied for the SMF.

Keywords: Statistical optimization; Biomass yield coefficient; Mass transfer coefficient; Oxygen uptake rate; Simulation.


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