STATISTICAL EVALUATION FOR BACTERIA ELECTRO-STIMULATION USING THE DUNNETT METHOD FOR A MICROBIAL FUEL CELL

A. Montiel del Cueto, Adrian Ernandes Sant'yago, M. Gonzalez Flores, C. Palomino Jimenez, E. Mendez Albores, M. Gonzalez Fuentes
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Abstract

A microbial fuel cell is a bioelectrochemical device that uses microorganisms, such as electrogenic bacteria, capable of generating electricity. However, the electrical energy generated depends mainly on the ability of the microorganisms present in the anode to decompose the organic matter contained in an effluent. In this work, an electrochemical setting formed as an anode and a cathode of graphite felt were connected in an electrical circuit to electro-stimulate microorganisms to enhance the biofilm on the anode. In this sense, different potential values were imposed in several electrochemical cells to evaluate chemical oxygen demand, volatile solids, and bacteria increase. Dunnett method was used to find significant differences between treatments, taking a sample without treatment as the control sample.
用邓尼特法对微生物燃料电池的细菌电刺激进行统计评估
微生物燃料电池是一种生物电化学装置,利用微生物(如电源细菌)发电。然而,所产生的电能主要取决于阳极中的微生物分解污水中所含有机物的能力。在这项工作中,一个电化学装置的阳极和一个石墨毡阴极被连接在一个电路中,通过电刺激微生物来增强阳极上的生物膜。从这个意义上说,在几个电化学电池中施加不同的电位值,以评估化学需氧量、挥发性固体物和细菌的增加。以未经处理的样品为对照样品,采用邓尼特法找出处理之间的显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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