利用响应面法优化生物制氢发酵过程废水的甲烷发酵
Optimization of methane fermentation from effluent of bio-hydrogen fermentation process using response surface methodology.
作者信息
Wang Xing, Niu Dong-jie, Yang Xiao-shuang, Zhao You-cai
机构信息
The State Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
出版信息
Bioresour Technol. 2008 Jul;99(10):4292-9. doi: 10.1016/j.biortech.2007.08.046. Epub 2007 Oct 24.
The individual effects and interactive effects of substrate concentration, ratio of inoculum to substrate, Ca(2+) concentration on the methane yield from the effluent of bio-hydrogen fermentation of food waste were investigated in this study. A central composite design (CCD) and response methodology (RSM) were employed in designing the experiments, in order to determine the optimum conditions for methane fermentation. The experiment results showed that the effects of substrate concentration, ratio of inoculum to substrate, Ca(2+) concentration were statistically significant at 5% level. The interactive effect of substrate concentration and ratio of inoculum to substrate was significant, however the interactive effect of substrate concentration and Ca(2+) concentration, ratio of inoculum to substrate and Ca(2+) concentration were found to be insignificant at 5% level. A maximum yield of 565.76 ml CH(4)/g VS(added) was estimated under the optimum conditions for substrate concentration 7.77 g of VS/l, inoculum to substrate ratio of 2.81 and calcium concentration of 380.82 mg/l. Verification experiment of the estimated optimum conditions confirmed that the RSM was useful for optimizing the methane yield from effluent of bio-hydrogen fermentation of food waste.
本研究考察了底物浓度、接种物与底物比例、Ca(2+)浓度对餐厨垃圾生物制氢发酵出水甲烷产量的个体效应和交互效应。采用中心复合设计（CCD）和响应面方法（RSM）设计实验，以确定甲烷发酵的最佳条件。实验结果表明，底物浓度、接种物与底物比例、Ca(2+)浓度的效应在5%水平上具有统计学意义。底物浓度与接种物与底物比例的交互效应显著，然而，底物浓度与Ca(2+)浓度、接种物与底物比例与Ca(2+)浓度的交互效应在5%水平上不显著。在底物浓度为7.77 g VS/l、接种物与底物比例为2.81、钙浓度为380.82 mg/l的最佳条件下，估计最大产量为565.76 ml CH(4)/g VS(添加)。对估计的最佳条件进行验证实验，证实RSM可用于优化餐厨垃圾生物制氢发酵出水的甲烷产量。
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