Statistical optimization of xylanase and alkaline protease co-production by Bacillus spp using Box-Behnken Design under submerged fermentation using wheat bran as a substrate

2019 ◽  
Vol 17 ◽  
pp. 455-464 ◽  
Author(s):  
Mahadeo B. Limkar ◽  
Shweta V. Pawar ◽  
Virendra K. Rathod
Keyword(s):  
Wheat Bran ◽  
Alkaline Protease ◽  
Submerged Fermentation ◽  
Statistical Optimization ◽  
Box Behnken Design ◽  
Bacillus Spp

scholarly journals Formulation of a Suitable Medium and its Optimization for Maximizing L-asparaginase Production from Endophytic Fungi Fusarium sp. LCJ273

2018 ◽  
Vol 15 (4) ◽  
pp. 887-898
Author(s):  
V. Antony Jenila ◽  
J. Joel Gnanadoss
Keyword(s):  
Medicinal Plant ◽  
Ammonium Sulphate ◽  
Endophytic Fungi ◽  
Wheat Bran ◽  
Submerged Fermentation ◽  
Fold Increase ◽  
Statistical Optimization ◽  
Experimental Designs ◽  
Nutritional Parameters ◽  
Fusarium Sp

Endophytic fungi Fusarium sp. LCJ273 capable of producing L-asparaginase was isolated from the medicinal plant Adhatoda vasica. The aim of the present study was to maximize L-asparaginase production by submerged fermentation through statistical optimization. L-Asparaginase production by Fusarium sp. LCJ273 was studied in five different media. Various nutritional parameters specifically carbon, nitrogen and inducers were optimized for enhancing the production of L-asparaginase. In addition, different statistical based experimental designs were also applied to increase the production of L-asparaginase by Fusarium sp. LCJ273. Dextrose, ammonium sulphate and wheat bran were found to be effective for growth and higher yield of L-asparaginase in Modified Czapek’s Dox Broth. Dextrose at a concentration of 3.0 g/L increased L-asparaginase production up to 9.18±0.9 U/mL, ammonium sulphate at the concentration of 20 g/L showed maximum L-asparaginase production up to 13.69±0.4 U/mL and wheat bran at 2.5 g/L yielded up to 14.24±0.5 U/mL. The maximum L-asparaginase production was observed by Fusarium sp. LCJ273 on 5th day. The study revealed that through optimization, a 2 fold increase in L-asparaginase could be achieved.

scholarly journals Comparative Evaluation of Agroindustrial Byproducts for the Production of Alkaline Protease by Wild and Mutant Strains ofBacillus subtilisin Submerged and Solid State Fermentation

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Hamid Mukhtar ◽  
Ikramul Haq
Keyword(s):  
Bacillus Subtilis ◽  
Solid State ◽  
Wheat Bran ◽  
Solid State Fermentation ◽  
Soybean Meal ◽  
Alkaline Protease ◽  
Enzyme Production ◽  
Enhanced Production ◽  
Industrial Byproducts ◽  
Agroindustrial Byproducts

The present study describes the screening of different agroindustrial byproducts for enhanced production of alkaline protease by a wild and EMS induced mutant strain ofBacillus subtilisIH-72EMS8. During submerged fermentation, different agro-industrial byproducts were tested which include defatted seed meals of rape, guar, sunflower, gluten, cotton, soybean, and gram. In addition to these meals, rice bran, wheat bran, and wheat flour were also evaluated for protease production. Of all the byproducts tested, soybean meal at a concentration of 20 g/L gave maximum production of the enzyme, that is, 5.74  ±  0.26 U/mL from wild and 11.28  ±  0.45 U/mL from mutant strain, during submerged fermentation. Different mesh sizes (coarse, medium, and fine) of the soybean meal were also evaluated, and a finely ground soybean meal (fine mesh) was found to be the best. In addition to the defatted seed meals, their alkali extracts were also tested for the production of alkaline protease byBacillus subtilis, but these were proved nonsignificant for enhanced production of the enzyme. The production of the enzyme was also studied in solid state fermentation, and different agro-industrial byproducts were also evaluated for enzyme production. Wheat bran partially replaced with guar meal was found as the best substrate for maximum enzyme production under solid state fermentation conditions.

scholarly journals Microwave-assisted Extraction of Spruce Bark: Statistical Optimization Using Box-Behnken Design

BioResources ◽  
2018 ◽  
Vol 13 (4) ◽  
Author(s):  
Alexandra Sládková ◽  
Ján Stopka ◽  
Aleš Ház ◽  
Petra Strižincová ◽  
Igor Šurina ◽  
...  
Keyword(s):  
Statistical Optimization ◽  
Microwave Assisted Extraction ◽  
Box Behnken Design ◽  
Microwave Assisted ◽  
Spruce Bark ◽  
Assisted Extraction
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