TY - JOUR
T1 - Response Surface Optimization of Medium Components for Naringinase Production from Staphylococcus xylosus MAK2
AU - Puri, Munish
AU - Kaur, Aneet
AU - Singh, Ram
AU - Singh, Anubhav
PY - 2010/9
Y1 - 2010/9
N2 -
Response surface methodology was used to optimize the fermentation medium for enhancing naringinase production by Staphylococcus xylosus. The first step of this process involved the individual adjustment and optimization of various medium components at shake flask level. Sources of carbon (sucrose) and nitrogen (sodium nitrate), as well as an inducer (naringin) and pH levels were all found to be the important factors significantly affecting naringinase production. In the second step, a 22 full factorial central composite design was applied to determine the optimal levels of each of the significant variables. A second-order polynomial was derived by multiple regression analysis on the experimental data. Using this methodology, the optimum values for the critical components were obtained as follows: sucrose, 10.0%; sodium nitrate, 10.0%; pH 5.6; biomass concentration, 1.58%; and naringin, 0.50% (w/v), respectively. Under optimal conditions, the experimental naringinase production was 8.45 U/mL. The determination coefficients (R
2
) were 0.9908 and 0.9950 for naringinase activity and biomass production, respectively, indicating an adequate degree of reliability in the model.
AB -
Response surface methodology was used to optimize the fermentation medium for enhancing naringinase production by Staphylococcus xylosus. The first step of this process involved the individual adjustment and optimization of various medium components at shake flask level. Sources of carbon (sucrose) and nitrogen (sodium nitrate), as well as an inducer (naringin) and pH levels were all found to be the important factors significantly affecting naringinase production. In the second step, a 22 full factorial central composite design was applied to determine the optimal levels of each of the significant variables. A second-order polynomial was derived by multiple regression analysis on the experimental data. Using this methodology, the optimum values for the critical components were obtained as follows: sucrose, 10.0%; sodium nitrate, 10.0%; pH 5.6; biomass concentration, 1.58%; and naringin, 0.50% (w/v), respectively. Under optimal conditions, the experimental naringinase production was 8.45 U/mL. The determination coefficients (R
2
) were 0.9908 and 0.9950 for naringinase activity and biomass production, respectively, indicating an adequate degree of reliability in the model.
KW - Central composite rotatable design
KW - Naringin
KW - Naringinase
KW - Response surface methodology
KW - Staphylococcus xylosus
UR - http://www.scopus.com/inward/record.url?scp=77952891743&partnerID=8YFLogxK
U2 - 10.1007/s12010-009-8765-y
DO - 10.1007/s12010-009-8765-y
M3 - Article
SN - 0273-2289
VL - 162
SP - 181
EP - 191
JO - APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY
JF - APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY
IS - 1
ER -