Evidence map›Paper›PMID 33392158›Full record

ArticleFrontiers in bioengineering and biotechnology2020

Enrichment and Aggregation of Purple Non-sulfur Bacteria in a Mixed-Culture Sequencing-Batch Photobioreactor for Biological Nutrient Removal From Wastewater.

Marta Cerruti, Berber Stevens, Sirous Ebrahimi, Abbas Alloul, Siegfried E Vlaeminck, David G Weissbrodt

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Purple non-sulfur bacteria for biotechnological applications.Journal of industrial microbiology & biotechnology · 2024
    Review
  3. Article
  4. Article
  5. Article
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  8. Review
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

6 authors at 3 institutions in 3 countries.

Marta CerrutiDepartment of Biotechnology, Delft University of Technology, Delft, Netherlands.
Berber StevensDepartment of Biotechnology, Delft University of Technology, Delft, Netherlands.
Sirous EbrahimiDepartment of Biotechnology, Delft University of Technology, Delft, Netherlands.
Abbas AlloulDepartment of Bioscience Engineering, University of Antwerp, Antwerp, Belgium.
Siegfried E VlaeminckDepartment of Bioscience Engineering, University of Antwerp, Antwerp, Belgium.
David G WeissbrodtDepartment of Biotechnology, Delft University of Technology, Delft, Netherlands.
Delft University of Technology · NLUniversity of Antwerp · BESahand University of Technology · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mixed-culture biotechnologies are widely used to capture nutrients from wastewater. Purple non-sulfur bacteria (PNSB), a guild of anoxygenic photomixotrophic organisms, rise interest for their ability to directly assimilate nutrients in the biomass. One challenge targets the aggregation and accumulation of PNSB biomass to separate it from the treated water. Our aim was to enrich and produce a concentrated, fast-settling PNSB biomass with high nutrient removal capacity in a 1.5-L, stirred-tank, anaerobic sequencing-batch photobioreactor (SBR). PNSB were rapidly enriched after inoculation with activated sludge at 0.1 gVSS L

Indexed as

bioaggregationbiological wastewater treatmentenvironmental biotechnologymicrobial ecologymixed-culture biotechnologypurple phototrophic bacteriaresource recoverysequencing batch reactor

Identifiers

PMID33392158
PMCPMC7773948
OpenAlexW3112028195

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.