Bioinformatic analysis of bacterial composition and metabolic mapping of selectively enriched microbial community within Microbial Fuel Cells

dc.contributor.authorAnatoly Sorokin
dc.contributor.authorNazgul Sakenova
dc.contributor.authorAskarbek Orakov
dc.contributor.authorIgor Goryanin
dc.contributor.authorVeyacheslav Fedorovich
dc.contributor.authorLukasz Szydlowski
dc.date.accessioned2025
dc.date.issued2017
dc.description.abstractMicrobial 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.citationLukasz 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.doi10.1109/ICIIBMS.2017.8279733
dc.identifier.urihttps://doi.org/10.1109/ICIIBMS.2017.8279733
dc.identifier.urihttps://nur.nu.edu.kz/handle/123456789/15076
dc.languageen
dc.publisherIciibms 2017 2nd International Conference on Intelligent Informatics and Biomedical Sciences
dc.rightsAll rights reserved
dc.sourceIciibms 2017 2nd International Conference on Intelligent Informatics and Biomedical Sciences
dc.subjectGenetics
dc.subjectElectrolyte
dc.subjectQuantum mechanics
dc.subjectPhysical chemistry
dc.subjectOrganic chemistry
dc.subjectElectrical engineering
dc.subjectPhysics
dc.subjectPower (physics)
dc.subjectEngineering
dc.subjectAnode
dc.subjectBiology
dc.subjectBacteria
dc.subjectElectrode
dc.subjectChemistry
dc.subjectPulp and paper industry
dc.subjectEnvironmental science
dc.subjectElectricity generation
dc.subjectChemical energy
dc.subjectBiochemical engineering
dc.subjectElectricity
dc.subjectElectrolysis
dc.subjectMicroorganism
dc.subjectMicrobial population biology
dc.subjectMicrobial electrolysis cell
dc.subjectMicrobial fuel cell
dc.titleBioinformatic analysis of bacterial composition and metabolic mapping of selectively enriched microbial community within Microbial Fuel Cells
dc.typeArticle

Files