Evidence map›Paper›PMID 28775719›Full record

ArticleFrontiers in microbiology2017

Temporal Microbial Community Dynamics in Microbial Electrolysis Cells - Influence of Acetate and Propionate Concentration.

Ananda Rao Hari, Krishnaveni Venkidusamy, Krishna P Katuri, Samik Bagchi, Pascal E Saikaly

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
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

6 citing papers in PubMed, 41 citations in OpenAlex.

  1. The role ofSustainable microbiology · 2026
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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

5 authors at 3 institutions in 3 countries.

Ananda Rao HariBiological and Environmental Sciences and Engineering Division, Water Desalination and Reuse Research Center, King Abdullah University of Science and TechnologyThuwal, Saudi Arabia.
Krishnaveni VenkidusamyCentre for Environmental Risk Assessment and Remediation, University of South Australia, Mawson LakesSA, Australia.
Krishna P KaturiBiological and Environmental Sciences and Engineering Division, Water Desalination and Reuse Research Center, King Abdullah University of Science and TechnologyThuwal, Saudi Arabia.
Samik BagchiDepartment of Civil, Environmental, and Architectural Engineering, University of Kansas, LawrenceKS, United States.
Pascal E SaikalyBiological and Environmental Sciences and Engineering Division, Water Desalination and Reuse Research Center, King Abdullah University of Science and TechnologyThuwal, Saudi Arabia.
King Abdullah University of Science and Technology · SAUniversity of Kansas · USUniversity of South Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial electrolysis cells (MECs) are widely considered as a next generation wastewater treatment system. However, fundamental insight on the temporal dynamics of microbial communities associated with MEC performance under different organic types with varied loading concentrations is still unknown, nevertheless this knowledge is essential for optimizing this technology for real-scale applications. Here, the temporal dynamics of anodic microbial communities associated with MEC performance was examined at low (0.5 g COD/L) and high (4 g COD/L) concentrations of acetate or propionate, which are important intermediates of fermentation of municipal wastewaters and sludge. The results showed that acetate-fed reactors exhibited higher performance in terms of maximum current density (

Indexed as

acetateGeobactermicrobial community dynamicsmicrobial electrolysis cellspropionate

Identifiers

PMID28775719
PMCPMC5517442
OpenAlexW2727617428

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.