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统计介质优化和恶臭假单胞菌对 p-硝基苯酚的生物降解能力。

Statistical medium optimization and biodegradative capacity of Ralstonia eutropha toward p-nitrophenol.

机构信息

Chemical Engineering Department, Amirkabir University of Technology, Tehran, Iran.

出版信息

Biodegradation. 2010 Jul;21(4):645-57. doi: 10.1007/s10532-010-9332-5. Epub 2010 Feb 7.

Abstract

The effect of p-nitrophenol (PNP) concentration with or without glucose and yeast extract on the growth and biodegradative capacity of Ralstonia eutropha was examined. The chemical constituents of the culture medium were modeled using a response surface methodology. The experiments were performed according to the central composite design arrangement considering PNP, glucose and yeast extract as the selected variables whose influences on the degradation was evaluated (shaking in reciprocal mode, temperature of 30 degrees C, pH 7 and test time of about 9 h). Quadratic polynomial regression equations were used to quantitatively explain variations between and within the models (responses: the biodegradation capacity and the biomass formation). The coefficient of determination was high (R(adjusted)(2) = 0.9783), indicating the constructed polynomial model for PNP biodegradative capacity explains the variation between the regressors fairly well. A PNP removal efficiency of 74.5% occurred within 9 h (15 mg/L as the initial concentration of PNP with use of yeast extract at 0.5 g/L).

摘要

考察了在有或没有葡萄糖和酵母提取物的情况下对硝基苯酚(PNP)浓度对 Ralstonia eutropha 生长和生物降解能力的影响。使用响应面方法学对培养基的化学成分进行建模。根据中心复合设计安排进行实验,考虑 PNP、葡萄糖和酵母提取物作为选择变量,评估它们对降解的影响(在往复模式下摇动、温度 30°C、pH 值 7 和大约 9 小时的测试时间)。使用二次多项式回归方程来定量解释模型之间和模型内部的变化(响应:生物降解能力和生物量形成)。决定系数很高(R(调整)(2)=0.9783),表明构建的 PNP 生物降解能力的多项式模型很好地解释了回归变量之间的变化。在 9 小时内(初始 PNP 浓度为 15mg/L,使用 0.5g/L 的酵母提取物),PNP 的去除效率达到 74.5%。

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