Related Experiment Video
Updated: May 5, 2026

GENPLAT: an Automated Platform for Biomass Enzyme Discovery and Cocktail Optimization
Published on: October 24, 2011
Optimization of physico-chemical parameters for synergistic production of xylano-cellulolytic enzymes by novel
Neha Maurya1, Harsh Sable2, Jyoti Chauhan1
1Department of Life Science, Sharda School of Bioscience and Technology, Sharda University, Greater Noida, Uttar Pradesh 201310, India.
Abstract:
Xylanase and cellulase have become increasingly significant due to their versatile applications in the food, paper, biofuel, and pharmaceutical industries. Nevertheless, the current production of these enzymes relies on costly substrates, with estimates indicating that over 30 % of the production expenses are attributed to these substrates. The objective of this study is to optimize the physicochemical parameters for obtaining the maximum production of xylanase & cellulase enzyme from Pantoea sp. (PQ584882). The production conditions were statistically optimized using Plackett-Burman design (PBD) and Central Composite design (CCD). The significant variables identified through PB design including temperature, substrate-to-moisture ratio, K2HPO4, peptone, surfactant, inoculum size, inoculum age, incubation time, and pH were further optimized using the CCD approach. This optimization process revealed the most influential factors affecting xylanase & cellulase production, with optimal conditions observed at a temperature of 40◦C, Moisture Proportion, 15 mL; K2HPO4 6 mM; peptone, 1.55 %; Castor oil 0.5 %; inoculum size, 1.55 % (v/w); inoculum age, 18 h; an incubation time, 87 h. The optimized CCD model displayed a 1.84-fold greater xylanase & cellulose production than the PB design approach. These findings suggest that wheat bran, a readily available agro-waste, could be a feasible alternative to the conventional substrate, beechwood xylan and CMC (Carboxy methyl cellulose) for the production of xylanase & cellulase enzymes with the possibility of achieving higher production levels optimized by using a statistical design approach.
More Related Videos
14:53Techniques for the Evolution of Robust Pentose-fermenting Yeast for Bioconversion of Lignocellulose to Ethanol
Published on: October 24, 2016
06:08Design of Solid-State Fermentation Systems for Polymer Hydrolytic Extracellular Enzyme Production by Filamentous Fungi
Published on: June 6, 2025
Related Concept Videos
Microbes in Food Production
Bioreactor Controls-III
Methods of Medium Optimization
Production of Organic Acids
Production of Antibiotics