Newcastle University
Browse
DOCUMENT
Data file Heidrich et al BITE 2016.docx (38.77 kB)
DOCUMENT
Data file Heidrich et al BITE 2016.pdf (482.41 kB)
1/0
2 files

Quantification of effective exoelectrogens by most probable number (MPN) in a microbial fuel cell

Download all (521.18 kB)
dataset
posted on 2016-01-01, 00:00 authored by J Dolfing, S Woodcock, TP Curtis, ES Heidrich
Methods and results of (i) MPN counts of effective electrogens as measured with microbial fuel cells, and of (ii) the effect of UV irradiation on COD and bacterial content of domestic wastewater.

History

Usage metrics

    Newcastle University

    Categories

    No categories selected

    Keywords

    Most probable numberElectrogenic bacteriaUV irradiationChemical oxygen demandWastewater

    Licence

    CC BY 4.0

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC