Bioinformatic analysis of bacterial composition and metabolic mapping of selectively enriched microbial community within Microbial Fuel Cells
| dc.contributor.author | Anatoly Sorokin | |
| dc.contributor.author | Nazgul Sakenova | |
| dc.contributor.author | Askarbek Orakov | |
| dc.contributor.author | Igor Goryanin | |
| dc.contributor.author | Veyacheslav Fedorovich | |
| dc.contributor.author | Lukasz Szydlowski | |
| dc.date.accessioned | 2025 | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Microbial Electrogenic Technology (MET) refers to the common phenomenon of microbial activity that results in either electricity generation, as in the case of Microbial Fuel Cell (MFC) or utilizes applied electricity as in the case of Microbial Electrolysis Cells (MEC). MFCs are emerging technology of energy-efficient wastewater treatment as compared to the commonly applied aerobic methods. The overall efficiency of METs is due to the activity of mature microbial consortia that reach optimum performance over time. Microorganisms colonizing MFCs and MECs are able to either directly transfer/receive electrons from the electrodes or secrete shuttles to facilitate that process. | |
| dc.identifier.citation | Lukasz Szydlowski, Veyacheslav Fedorovich, Igor Goryanin, Askarbek Orakov, Nazgul Sakenova, & Anatoly Sorokin (2017). Bioinformatic analysis of bacterial composition and metabolic mapping of selectively enriched microbial community within Microbial Fuel Cells. . https://doi.org/10.1109/ICIIBMS.2017.8279733 | |
| dc.identifier.doi | 10.1109/ICIIBMS.2017.8279733 | |
| dc.identifier.uri | https://doi.org/10.1109/ICIIBMS.2017.8279733 | |
| dc.identifier.uri | https://nur.nu.edu.kz/handle/123456789/15076 | |
| dc.language | en | |
| dc.publisher | Iciibms 2017 2nd International Conference on Intelligent Informatics and Biomedical Sciences | |
| dc.rights | All rights reserved | |
| dc.source | Iciibms 2017 2nd International Conference on Intelligent Informatics and Biomedical Sciences | |
| dc.subject | Genetics | |
| dc.subject | Electrolyte | |
| dc.subject | Quantum mechanics | |
| dc.subject | Physical chemistry | |
| dc.subject | Organic chemistry | |
| dc.subject | Electrical engineering | |
| dc.subject | Physics | |
| dc.subject | Power (physics) | |
| dc.subject | Engineering | |
| dc.subject | Anode | |
| dc.subject | Biology | |
| dc.subject | Bacteria | |
| dc.subject | Electrode | |
| dc.subject | Chemistry | |
| dc.subject | Pulp and paper industry | |
| dc.subject | Environmental science | |
| dc.subject | Electricity generation | |
| dc.subject | Chemical energy | |
| dc.subject | Biochemical engineering | |
| dc.subject | Electricity | |
| dc.subject | Electrolysis | |
| dc.subject | Microorganism | |
| dc.subject | Microbial population biology | |
| dc.subject | Microbial electrolysis cell | |
| dc.subject | Microbial fuel cell | |
| dc.title | Bioinformatic analysis of bacterial composition and metabolic mapping of selectively enriched microbial community within Microbial Fuel Cells | |
| dc.type | Article |