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Optimization of glucose concentration and glucose/yeast ratio in yeast microbial fuel cell using response surface methodology approach
In this work the influence of two practical parameters, i.e. glucose concentration and glucose/yeast ratio, on performance of yeast-based microbial fuel cells (yeast-MFC) is investigated. The novel carbon felt pretreated with polyethylenimine is adopted as anode in open-air single chamber yeast-MFCs...
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Published in: | Journal of power sources 2018-10, Vol.402, p.402-412 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In this work the influence of two practical parameters, i.e. glucose concentration and glucose/yeast ratio, on performance of yeast-based microbial fuel cells (yeast-MFC) is investigated. The novel carbon felt pretreated with polyethylenimine is adopted as anode in open-air single chamber yeast-MFCs. The combination of the two parameters is optimized using response surface methodology with statistical approach. The optional presence of methylene blue as mediator is also included for comparison. Experimental dataset is initially built as reference and 4 mathematical equations are derived to predict the response regarding open circuit voltage (OCV) and maximum power density (MPD). By varying glucose concentration and glucose/yeast ratio, computed response surfaces show different responses are obtained and an optimum point exists within the range investigated. Finally, the optimized combinations for yeast-MFCs with/without mediator are predicted and response is verified in real experiment. The model tends to slightly overestimate the response, but accuracy is within confident range for both OCV and MPD. In fact, MPD obtained for the optimized yeast-MFC without mediator is 340.9 mW m−2, 3.2% lower than model, while it is 374.4 mW m−2, 5% lower than model, for the case including mediator. The discrepancy of OCV prediction is below 3%, making the approach reliable.
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•Single chamber yeast microbial fuel cell with a novel anode is optimized.•Response Surface Methodology was used to tune 2 operational parameters.•Dataset of experimental response with or without methylene blue was created.•The shape of response surface shows that a non-trivial optimum point exists.•The optimal point was experimentally checked and error was only 3–5%. |
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ISSN: | 0378-7753 1873-2755 |
DOI: | 10.1016/j.jpowsour.2018.09.068 |