Evidence map›Paper›PMID 38437466›Full record

ArticlePolish journal of microbiology2024

Molecular and metabolic characterization of petroleum hydrocarbons degrading

Nadia Hussain, Fatima Muccee, Muhammad Hammad, Farhan Mohiuddin, Saboor Muarij Bunny, Aansa Shahab

Open access · goldAbstract read
In one paragraph

Article in Polish journal of microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Comprehensive genomic analysis of a novelMicrobiology spectrum · 2026
    Article
  3. 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

6 authors at 2 institutions in 2 countries.

Nadia Hussain1Department of Pharmaceutical Sciences, College of Pharmacy, Al Ain University, Al Ain Campus, Al Ain, United Arab Emirates.
Fatima Muccee3School of Biochemistry and Biotechnology, University of Punjab, Lahore, Pakistan.
Muhammad Hammad3School of Biochemistry and Biotechnology, University of Punjab, Lahore, Pakistan.
Farhan Mohiuddin3School of Biochemistry and Biotechnology, University of Punjab, Lahore, Pakistan.
Saboor Muarij Bunny3School of Biochemistry and Biotechnology, University of Punjab, Lahore, Pakistan.
Aansa Shahab3School of Biochemistry and Biotechnology, University of Punjab, Lahore, Pakistan.
University of the Punjab · PKAl Ain University · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrocarbon constituents of petroleum are persistent, bioaccumulated, and bio-magnified in living tissues, transported to longer distances, and exert hazardous effects on human health and the ecosystem. Bioaugmentation with microorganisms like bacteria is an emerging approach that can mitigate the toxins from environmental sources. The present study was initiated to target the petroleum-contaminated soil of gasoline stations situated in Lahore. Petroleum degrading bacteria were isolated by serial dilution method followed by growth analysis, biochemical and molecular characterization, removal efficiency estimation, metabolites extraction, and GC-MS of the metabolites. Molecular analysis identified the bacterium as Bacillus cereus, which exhibited maximum growth at 72 hours and removed 75% petroleum. Biochemical characterization via the Remel RapID

Indexed as

Bacillus cereusEcosystemCarboxylic AcidsHumansHydrocarbonsMethaneCarboxylic AcidsHydrocarbonsMethaneB. cereusbioremediationdegradationGC-MShydrocarbonsmetabolitespetroleumpollutants

Identifiers

PMID38437466
PMCPMC10911661
OpenAlexW4392381614

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.