Evidence map›Paper›PMID 29497939›Full record

ArticleEnvironmental science and pollution research international2018

Ecotoxicological assessment of oil-based paint using three-dimensional multi-species bio-testing model: pre- and post-bioremediation analysis.

Anwar Hussain Phulpoto, Muneer Ahmed Qazi, Ihsan Ul Haq, Abdul Rahman Phul, Safia Ahmed, Nisar Ahmed Kanhar

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Anwar Hussain PhulpotoInstitute of Microbiology, Faculty of Natural Science, Shah Abdul Latif University, Khairpur, Sindh, 66020, Pakistan.
Muneer Ahmed QaziInstitute of Microbiology, Faculty of Natural Science, Shah Abdul Latif University, Khairpur, Sindh, 66020, Pakistan.
Ihsan Ul HaqDepartment of Pharmacy, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, 45320, Pakistan.
Abdul Rahman PhulDepartment of Pharmacy, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, 45320, Pakistan.
Safia AhmedDepartment of Microbiology, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, 45320, Pakistan.
Nisar Ahmed KanharInstitute of Microbiology, Faculty of Natural Science, Shah Abdul Latif University, Khairpur, Sindh, 66020, Pakistan. nisar.kanhar@salu.edu.pk.
Quaid-i-Azam University · PKShah Abdul Latif University · PK

Funding

Higher Education Commission, Pakistan 4635
6 · The paper itself

Abstract

The present study validates the oil-based paint bioremediation potential of Bacillus subtilis NAP1 for ecotoxicological assessment using a three-dimensional multi-species bio-testing model. The model included bioassays to determine phytotoxic effect, cytotoxic effect, and antimicrobial effect of oil-based paint. Additionally, the antioxidant activity of pre- and post-bioremediation samples was also detected to confirm its detoxification. Although, the pre-bioremediation samples of oil-based paint displayed significant toxicity against all the life forms. However, post-bioremediation, the cytotoxic effect against Artemia salina revealed substantial detoxification of oil-based paint with LD

Indexed as

EcotoxicologyBacteriaBiodegradation, EnvironmentalBiological AssayPaintPetroleumPetroleumCytotoxicMycotoxic and multi-species bio-testingOil-based paintPhytotoxic

Identifiers

PMID29497939
OpenAlexW4240583859

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.