Optimization of antioxidant exopolysaccharidess production by Bacillus licheniformis in solid state fermentation

• Published in: Carbohydrate polymers 2013-11, Vol.98 (2), p.1377-1382
• Main Authors: Fang, Yaowei, Ahmed, Sibtain, Liu, Shu, Wang, Shujun, Lu, Mingsheng, Jiao, Yuliang
• Format: Article
• Language: English
• Subjects: Animals; antioxidants; Antioxidants - metabolism; Applied sciences; Bacillus - metabolism; Bacillus licheniformis; Bioconversions. Hemisynthesis; Biological and medical sciences; Biotechnology; carbon; Carbon - metabolism; corn cobs; Culture Media; Decapodiformes - chemistry; Exact sciences and technology; Factor Analysis, Statistical; Fermentation; Fundamental and applied biological sciences. Psychology; General and cellular metabolism. Vitamins; magnesium sulfate; Magnesium Sulfate - chemistry; Medical sciences; Methods. Procedures. Technologies; Microbial exopolysaccharides; Natural polymers; nitrogen; Nitrogen - metabolism; Pharmacology. Drug treatments; Physicochemistry of polymers; Polysaccharides, Bacterial - biosynthesis; regression analysis; response surface methodology; Responses surface methodology; sodium chloride; Sodium Chloride - chemistry; Solid state fermentation; squid; Squid processing byproduct; Starch and polysaccharides; Waste Products; Zea mays; Zea mays - chemistry
• ISSN: 0144-8617; 1879-1344
• DOI: 10.1016/j.carbpol.2013.07.076

•Squid processing byproduct and maize cob meal were used as low cost substrate for antioxidant EPSs production in solid state fermentation.•The key process parameters of EPSs production were optimized by response surface methodology.•Maximum antioxidant EPSs yield (14.68mggds−1) is 1.32-fold increase compared with previously achieved. Response surface methodology was applied to optimize physical and nutritional variables for the production of antioxidant exopolysaccharidess (EPSs) by Bacillus licheniformis UD061 in solid state fermentation with squid processing byproduct and maize cob meal used as a carbon and nitrogen source and solid matrix. The factors noted with Plackett–Burman design for optimization of EPSs production were NaCl, MgSO4·7H2O, and moisture level. These factors were further optimized using Box–Behnken design and response surface methodology. Using this methodology, the quadratic regression model of EPSs production was built. Maximum EPSs production was obtained under the optimal conditions of 4.08gL−1 NaCl, 0.71gL−1 MgSO4·7H2O, and 60.49% moisture level. A production of 14.68mggds−1, which was well in agreement with the predicted value, was achieved by this optimized procedure.