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从藤黄微球菌 MAK2 生产柚皮苷酶的培养基成分的响应面优化。

Response surface optimization of medium components for naringinase production from Staphylococcus xylosus MAK2.

机构信息

Fermentation and Protein Biotechnology Laboratory, Department of Biotechnology, Punjabi University, Patiala 147 002, India.

出版信息

Appl Biochem Biotechnol. 2010 Sep;162(1):181-91. doi: 10.1007/s12010-009-8765-y. Epub 2009 Sep 8.

Abstract

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.

摘要

响应面法被用于优化发酵培养基,以提高葡萄球菌产柚皮苷酶的产量。该过程的第一步涉及在摇瓶水平上单独调整和优化各种培养基成分。碳源(蔗糖)和氮源(硝酸钠)、诱导物(柚皮苷)和 pH 值均被发现是显著影响柚皮苷酶产量的重要因素。在第二步中,采用 22 全因子中心组合设计来确定每个显著变量的最佳水平。通过对实验数据进行多元回归分析,得出了二次多项式。使用该方法,获得了关键成分的最佳值如下:蔗糖 10.0%;硝酸钠 10.0%;pH 值 5.6;生物量浓度 1.58%;柚皮苷 0.50%(w/v)。在最佳条件下,实验得到的柚皮苷酶产量为 8.45 U/mL。柚皮苷酶活性和生物量生成的决定系数(R²)分别为 0.9908 和 0.9950,表明模型具有足够的可靠性。

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