Evidence map›Paper›PMID 41377107›Full record

ArticleBiofilm2025

Diverse microbial communities colonize biofilm carriers in moving bed and intermittent cleaning reactors for municipal and industrial wastewater treatment.

Eshetu Janka, Ram Prasath Alagappan, Dipaluk Das, Leif Arne Kjeldsberg, Shuai Wang, Tone Haugen, Alexander Wentzel

Abstract read
In one paragraph

Article in Biofilm, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Eshetu JankaDepartment of Energy and Environmental Technology, University of South-Eastern Norway, Kjølnes ring 56, 3918, Porsgrunn, Norway.
Ram Prasath AlagappanDepartment of Energy and Environmental Technology, University of South-Eastern Norway, Kjølnes ring 56, 3918, Porsgrunn, Norway.
Dipaluk DasDepartment of Energy and Environmental Technology, University of South-Eastern Norway, Kjølnes ring 56, 3918, Porsgrunn, Norway.
Leif Arne KjeldsbergBiowater Technology AS, Grev Wedels gate 1, Tønsberg, Norway.
Shuai WangBiowater Technology AS, Grev Wedels gate 1, Tønsberg, Norway.
Tone HaugenSINTEF Industry, Department of Biotechnology and Nanomedicine, Torgarden, N-7465, Trondheim, Norway.
Alexander WentzelSINTEF Industry, Department of Biotechnology and Nanomedicine, Torgarden, N-7465, Trondheim, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional biofilm reactors are widely used for the removal of organic constituents and nutrients (i.e., nitrogen and phosphorus) in municipal and industrial wastewater treatment. Moving bed biofilm reactor (MBBR) and continuously flow intermittent cleaning reactor (CFIC) have been developed as more compact, small footprint, and highly efficient biofilm-based systems for wastewater treatment. However, despite the advancements in reactor technology, there is limited scientific information on the microbial composition of the biofilms in these systems. This study aimed to characterize and provide early insights into the microbial diversity of biofilms grown on biofilm carriers and liquid suspensions of the biofilm-based wastewater treatment systems. Microbial samples were collected from biofilm carriers and liquid suspension in four full-scale MBBR plants and two CFIC plants in Norway, all treating municipal and industrial wastewater. DNA was extracted from the samples and subjected to

Indexed as

BacteriaBiofilmBiofilm carrierCFICDiversityFootprintMBBRSurface areaWastewater

Identifiers

PMID41377107
PMCPMC12686882

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.