利用微生物燃料电池从乳制品工业废水中减少污染和发电。

IF 3.1 Q2 ENVIRONMENTAL SCIENCES
D. Sivakumar
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引用次数: 5

摘要

采用田口L9正交设计,选择最佳工艺参数,利用双室盐桥微生物燃料电池对乳制品废水进行最大限度的污染物去除和发电。在1M NaCl浓度、10%琼脂浓度和0.10m盐桥长度的最佳条件下,乳制品废水双室盐桥微生物燃料电池的最大化学需氧量减少率、电流、电压、功率、电流密度和功率密度分别为86.30%、16.10mA、886.34mV、14.27mW、1219.69mA/m2和1081.06mW/m2。双室盐桥微生物燃料电池不仅去除了乳品废水中的化学需氧量和发电量,而且在工艺参数最佳值的情况下,最大限度地去除了其他污染物。所提出的回归模型用于选择正确的工艺参数组合,以最大限度地减少污染物并同时从乳制品工业废水中发电。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pollution reduction and electricity production from dairy industry wastewater with microbial fuel cell.
Taguchi L9 orthogonal array was implemented to select optimum values of process parameters and to attain the maximum removal of pollutants and power generation from dairy industry wastewater using double chambered salt bridge microbial fuel cell. The maximum chemical oxygen demand reduction, current, voltage, power, current density and power density in double chambered salt bridge microbial fuel cell from dairy industry wastewater was found to be 86.30 %, 16.10 mA, 886.34 mV, 14.27 mW, 1219.69 mA/m2 and 1081.06 mW/m2 respectively for the optimum value of 1M NaCl concentration, 10 % agar concentration and 0.10 m salt bridge length. Double chambered salt bridge microbial fuel cell was not only removed chemical oxygen demand and produced power, but it also removed other pollutants at the maximum level against the best optimum value of process parameters from the dairy industry wastewater. The proposed regression model was used to select the right combination of process parameters for obtaining a maximum reduction of pollutants and simultaneous power production from the dairy industry wastewater.
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来源期刊
CiteScore
7.90
自引率
2.90%
发文量
11
审稿时长
8 weeks
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