International Journal of Modern Science and Technology · ISSN 2456-0235

Research Article · Biotechnology & Bioeng. · Volume 5, Issue 2 · Feb 2020 · Pages 45–58

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

R. Navnit kumar, T. R. Sambavi, G. Baskar, S. Renganathan

  • R. Navnit kumar: Biofuel Laboratory, Center for Biotechnology, Anna University, Chennai – 600025.
  • T. R. Sambavi: Biofuel Laboratory, Center for Biotechnology, Anna University, Chennai – 600025.
  • G. Baskar: Department of Biotechnology, St. Joseph’s College of Engineering, Chennai – 600119.
  • S. Renganathan: Biofuel Laboratory, Center for Biotechnology, Anna University, Chennai – 600025.

Abstract

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

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