International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 111 | Views: 320

Research Paper | Biological Engineering | India | Volume 6 Issue 1, January 2017 | Popularity: 6.6 / 10


     

Effective Role of Multiple Electrodes on Double Chambered Microbial Fuel Cell

Geetha.S, Subha Ranjani.S


Abstract: The main goal of this current project was to overcome the problems of energy management which is the global issue today. In our current study the electricity was produced by using the industrial wastewater as a substrate so simulataneously the waterwater management and the electricity also produced by this method. This study is concentrated on the comparison of electricity generation by two different organic substrates like the mixture of whey and rotten tomato juice and Rice washing water electricity generation with Saccharomyces cerevisiae, and Escherichia coli and also the comparative study on various combinations and number of electrodes also plays an important role in the microbial fuel cells. Microorganisms were able to utilize the carbon source in the substrate for generation of bioelectricity. Microbial fuel cell act as biocatalyst and generates electrons (e-) and protons (H+) by way of anaerobic respiration of organic substrate. The electron transfer through the anode integrated with an external circuit to cathode and protons diffuse through the Agar salt bridge. The open circuit potential was determined and the maximum voltage given by different organisms was estimated.


Keywords: Microbial Fuel Cell, electrode, Saccharomyces cerevisiae, E coli, open circuit potential


Edition: Volume 6 Issue 1, January 2017


Pages: 1970 - 1974


DOI: https://www.doi.org/10.21275/ART20164645



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Geetha.S, Subha Ranjani.S, "Effective Role of Multiple Electrodes on Double Chambered Microbial Fuel Cell", International Journal of Science and Research (IJSR), Volume 6 Issue 1, January 2017, pp. 1970-1974, URL: https://www.ijsr.net/getabstract.php?paperid=ART20164645, DOI: https://www.doi.org/10.21275/ART20164645



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Biological Engineering, India, Volume 8 Issue 12, December 2019

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Biological Engineering, India, Volume 7 Issue 8, August 2018

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A Comprehensive Study of Machine Learning Models in Radiogenomics

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