Evidence map›Paper›PMID 24475932›Full record

ArticleJournal of environmental health science & engineering2014

The study of Nickel Resistant Bacteria (NiRB) isolated from wastewaters polluted with different industrial sources.

Hoda Alboghobeish, Arezoo Tahmourespour, Monir Doudi

Open access · hybridAbstract read
In one paragraph

Article in Journal of environmental health science & engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.6field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 63 citations in OpenAlex.

  1. Bacterial Heavy Metal Resistance in Contaminated Soil.Journal of microbiology and biotechnology · 2025
    Review
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  8. Frontiers in microbiology · 2022
    Article
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  10. Genomic and Physiological Investigation of Heavy Metal Resistance from Plant EndophyticInternational journal of environmental research and public health · 2021
    Article
  11. Article
  12. Article
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  17. Nickel-resistant bacteria isolated in human microbiome.New microbes and new infections · 2017
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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

3 authors at 2 institutions in 1 country.

Hoda Alboghobeish
Arezoo TahmourespourBasic Medical Sciences Department, Khorasgan (Isfahan) Branch, Islamic Azad University, Isfahan, Iran. atahmoures@khuisf.ac.ir.
Monir Doudi
Islamic Azad University of Falavarjan · IRIslamic Azad University, Isfahan · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPollution due to the heavy metals is a problem that may have negative consequences on the hydrosphere. One of the best procedures in removing the toxic metals from the environment is using metal resistant bacteria.

resultsIn the present study eight nickel resistant bacteria were isolated from industrial wastewaters. Three of them were selected as the most resistant based on their Maximum tolerable concentration (8, 16 and 24 mM Ni2+). Their identification was done according to morphological, biochemical characteristics and 16SrDNA gene sequencing and they were identified as Cupriavidus sp ATHA3, Klebsiella oxytoca ATHA6 and Methylobacterium sp ATHA7. The accession numbers assigned to ATHA3, ATHA6 and ATHA7 strains are JX120152, JX196648 and JX457333 respectively. The Growth rate of the most resistant isolate, Klebsiella oxytoca strain ATHA6, in the presence of Ni2+ and the reduction in Ni2+ concentration was revealed that K oxytoca ATHA6 could decrease 83 mg/mL of nickel from the medium after 3 days.

conclusionIt can be concluded that the identified Ni resistant bacteria could be valuable for the bioremediation of Ni polluted waste water and sewage.

Identifiers

PMID24475932
PMCPMC3931474
OpenAlexW2146070193

What OpenQuestion holds

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Registered trials

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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.