Evidence map›Paper›PMID 33520959›Full record

ArticleFrontiers in bioengineering and biotechnology2020

Isolation and Identification of Organics-Degrading Bacteria From Gas-to-Liquid Process Water.

Riham Surkatti, Zulfa A Al Disi, Muftah H El-Naas, Nabil Zouari, Mark C M Van Loosdrecht, Udeogu Onwusogh

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. PVA-TiONanomaterials (Basel, Switzerland) · 2024
    Article
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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

6 authors at 3 institutions in 2 countries.

Riham SurkattiGas Processing Center, Qatar University, Doha, Qatar.
Zulfa A Al DisiDepartment of Biological & Environmental Sciences, College of Arts Sciences, Qatar University, Doha, Qatar.
Muftah H El-NaasGas Processing Center, Qatar University, Doha, Qatar.
Nabil ZouariDepartment of Biological & Environmental Sciences, College of Arts Sciences, Qatar University, Doha, Qatar.
Mark C M Van LoosdrechtDepartment of Biotechnology, Delft University of Technology, Delft, Netherlands.
Udeogu OnwusoghQatar Shell Research and Technology Center, Doha, Qatar.
Qatar University · QADelft University of Technology · NLShell (Qatar) · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gas-to-liquid (GTL) process generates considerable amounts of wastewater that are highly acidic and characterized by its high chemical oxygen demand (COD) content, due to the presence of several organic pollutants, such as alcohols, ketones, aldehydes, and fatty acids. The presence of these organics in the process water may lead to adverse effect on the environment and aquatic life. Thus, it is necessary to reduce the COD content of GTL process water to an acceptable limit before discharging or reusing the treated water. Due to several advantages, biological treatment is often utilized as the main step in GTL process water treatment plants. In order to have a successful biotreatment process, it is required to choose effective and suitable bacterial strains that have the ability to degrade the organic pollutants in GTL process water. In this work, bacterial strains were isolated from the GTL process water, identified by 16S rRNA gene sequencing and then used in the biodegradation process. The detailed identification of the strains confirmed the presence of three organics-degrading bacteria identified as

Indexed as

biodegradationCOD reductionGTL process wateridentificationisolation

Identifiers

PMID33520959
PMCPMC7844201
OpenAlexW3118477535

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.