Niladevi K N, Sukumaran Rajeev K, Jacob Nicemol, Anisha G S, Prema P
Biotechnology Division, Regional Research Laboratory (CSIR), Trivandrum - 695019, India.
Microbiol Res. 2009;164(1):105-13. doi: 10.1016/j.micres.2006.10.006. Epub 2007 Jan 5.
Response surface methodology was employed for the optimization of different nutritional and physical parameters for the production of laccase by the filamentous bacteria Streptomyces psammoticus MTCC 7334 in submerged fermentation. Initial screening of production parameters was performed using a Plackett - Burman design and the variables with statistically significant effects on laccase production were identified. Incubation temperature, incubation period, agitation rate, concentrations of yeast extract, MgSO(4)7H(2)O, and trace elements were found to influence laccase production significantly. These variables were selected for further optimization studies using a Box-Behnken design. The statistical optimization by response surface methodology resulted in a three-fold increase in the production of laccase by S. psammoticus MTCC 7334.
采用响应面法优化沙栖链霉菌MTCC 7334在深层发酵中产生漆酶的不同营养和物理参数。使用Plackett - Burman设计对生产参数进行初步筛选,并确定对漆酶产生具有统计学显著影响的变量。发现培养温度、培养时间、搅拌速率、酵母提取物、MgSO₄·7H₂O和微量元素的浓度对漆酶产生有显著影响。选择这些变量使用Box-Behnken设计进行进一步优化研究。通过响应面法进行的统计优化使沙栖链霉菌MTCC 7334的漆酶产量提高了三倍。