微生物燃料电池修复钒污染地下水的响应曲面优化研究

Optimization of Microbial Fuel Cells for Remediation of Vanadium Contaminated Groundwater Using Response Surface Methodology(RSM)

使用响应曲面法,对单室微生物燃料电池去除五价钒的运行条件进行分析和优化。采用乙酸钠作为单室微生物燃料电池的碳源,探讨钒初始浓度、COD初始浓度和电解液电导率对五价钒去除率的影响,三因素三水平的响应曲面分析结果表明,五价钒初始浓度对五价钒去除率的影响最显著,其次为COD初始浓度,最后是电解液电导率。利用响应曲面法得到最优实验条件:五价钒初始浓度为75.44 mg/L,COD初始浓度为1007.48 mg/L,电导率为11.98 m S/cm,此时可获得五价钒的最大理论去除率80.31%。验证实验的结果证实了该优化方法的可靠性。研究成果可以促进微生物燃料电池技术在治理钒污染地下水领域的实际应用。

Response surface methodology（RSM） is utilized to analyze and optimize the experimental condition of V（Ⅴ） removal in single chamber microbial fuel cell（MFC）. The influences of initial vanadium concentration, COD and electrolyte conductivity on V（Ⅴ） removal efficiencies are investigated when sodium acetate is adopted as carbon source in single chamber MFC. The results of RSM with three factors at three levels reveal that the initial vanadium concentration has the most significant effect on V（Ⅴ） removal efficiencies, followed by the COD, whereas the influence of the electrolyte conductivity is minimal. The optimal experimental condition obtained by RSM is initial V（Ⅴ） concentration of 75.44 mg/L, COD of 1007.48 mg/L and electrolyte conductivity of 11.98 m S/cm, in which condition the theoretical maximum V（Ⅴ） removal efficiency of 80.31% can be achieved. Verification test is also conducted and the results further confirm the reliability of the optimization. The results of the present study will promote the application of MFC in the remediation of vanadium contaminated groundwater.