Evidence map›Paper›PMID 28585171›Full record

ArticleWorld journal of microbiology & biotechnology2017

Assessing the biodegradation of polycyclic aromatic hydrocarbons and laccase production by new fungus Trematophoma sp. UTMC 5003.

Hamid Moghimi, Rezvan Heidary Tabar, Javad Hamedi

Abstract read
PubMed Publisher
In one paragraph

Article in World journal of microbiology & biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
7.1field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
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  8. Review
  9. Biosurfactant production byEngineering in life sciences · 2018
    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

3 authors at 1 institution in 1 country.

Hamid MoghimiDepartment of Microbial Biotechnology, School of Biology, College of Science, University of Tehran, Tehran, Iran. hmoghimi@ut.ac.ir.
Rezvan Heidary TabarDepartment of Microbial Biotechnology, School of Biology, College of Science, University of Tehran, Tehran, Iran.
Javad HamediDepartment of Microbial Biotechnology, School of Biology, College of Science, University of Tehran, Tehran, Iran.
University of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental pollution caused by petroleum compounds has become a global concern. The aim of this study was to evaluate the indigenous fungal isolates in Iran for biodegradation of crude oil pollutants. In order to isolate fungal strains, the soil samples were enriched in minimal salts medium (MSM) with 1% crude oil and then the crude oil degradation was measured by total petroleum hydrocarbon (TPH) assay. The degradation of hydrocarbons compounds was also analysed by FT-IR and HPLC, and the activity of peroxidase enzyme and biosurfactant production were also measured. We isolated 40 fungal strains and selected the isolate G-05 with 70% degradation ability of petroleum hydrocarbons as a premium isolate after 15 days. Residual crude oil analysis with FT-IR spectrophotometry and HPLC showed that G-05 is able to degrade 90 and 100% of aliphatic compounds and some polycyclic aromatic hydrocarbons (PAH), respectively. Evaluation of enzymatic activity showed that this isolate can produce 4 U L

Indexed as

Biodegradation, EnvironmentalLaccasePetroleumPolycyclic Aromatic HydrocarbonsSaccharomycetalesSoil MicrobiologySoil PollutantsLaccasePetroleumPolycyclic Aromatic HydrocarbonsSoil PollutantsBioremediationCrude oilLaccasePolycyclic aromatic hydrocarbonsTrematophoma sp.

Identifiers

PMID28585171
OpenAlexW2622513987

What OpenQuestion holds

Textmetadata
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.