Evidence map›Paper›PMID 32604914›Full record

ArticleMolecules (Basel, Switzerland)2020

Optimising the Hydraulic Retention Time in a Pilot-Scale Microbial Electrolysis Cell to Achieve High Volumetric Treatment Rates Using Concentrated Domestic Wastewater.

Daniel D Leicester, Jaime M Amezaga, Andrew Moore, Elizabeth S Heidrich

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Computational Fluid Dynamics Reveals Mass Transfer Limitations in a Pilot-Scale Microbial Electrolysis Cell.Water environment research : a research publication of the Water Environment Federation · 2026
    Article
  2. Review
  3. Investigating Variability in Microbial Fuel Cells.Applied and environmental microbiology · 2023
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Daniel D LeicesterSchool of Engineering, Newcastle University, Newcastle-upon-Tyne NE1 7RU, UK.
Jaime M AmezagaSchool of Engineering, Newcastle University, Newcastle-upon-Tyne NE1 7RU, UK.
Andrew MooreNorthumbrian Water Limited, Northmbria House, Abbey Road, Durham DH1 5FJ, UK.
Elizabeth S HeidrichSchool of Engineering, Newcastle University, Newcastle-upon-Tyne NE1 7RU, UK.

Funding

BEWISE EP/P001564/1Engineering and Physical Sciences Research Council EP/N50928/1STREAM EP/L015412/1
6 · The paper itself

Abstract

Bioelectrochemical systems (BES) have the potential to deliver energy-neutral wastewater treatment. Pilot-scale tests have proven that they can operate at low temperatures with real wastewaters. However, volumetric treatment rates (VTRs) have been low, reducing the ability for this technology to compete with activated sludge (AS). This paper describes a pilot-scale microbial electrolysis cell (MEC) operated in continuous flow for 6 months. The reactor was fed return sludge liquor, the concentrated filtrate of anaerobic digestion sludge that has a high chemical oxygen demand (COD). The use of a wastewater with increased soluble organics, along with optimisation of the hydraulic retention time (HRT), resulted in the highest VTR achieved by a pilot-scale MEC treating real wastewater. Peak HRT was 0.5-days, resulting in an average VTR of 3.82 kgCOD/m

Indexed as

AnaerobiosisBacteria, AnaerobicBioelectric Energy SourcesBiological Oxygen Demand AnalysisElectrolysisSewageWater PurificationSewagebioelectrochemical systemshydraulic retention timemicrobial electrolysis cellspilot-scalereturn sludge liquorvolumetric treatment rate

Identifiers

PMID32604914
PMCPMC7356006

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.