Evidence map›Paper›PMID 25713590›Full record

ArticleTanaffos2014

Improved Method for Analysis of Airborne Asbestos Fibers Using Phase Contrast Microscopy and FTIR Spectrometry.

Mansour R Azari, Asil Yazdian, Rezvan Zendehdel, Hamid Souri, Soheila Khodakarim, Habibalalah Peirovi, Davod Panahi, Marzieh Kazempour

Open access · greenAbstract read
PubMed Full text at PMC
In one paragraph

Article in Tanaffos, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 82% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

8 authors at 1 institution in 1 country.

Mansour R AzariSafety Promotion and Injury Prevention Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran ; Department of Occupational Hygiene, College of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Asil YazdianDepartment of Occupational Hygiene, College of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Rezvan ZendehdelDepartment of Occupational Hygiene, College of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hamid SouriSafety Promotion and Injury Prevention Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran ; Department of Occupational Hygiene, College of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Soheila KhodakarimDepartment of Occupational Hygiene, College of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Habibalalah PeiroviMedical Nanotechnology & Tissue Engineering Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Davod PanahiDepartment of Occupational Hygiene, College of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Marzieh KazempourDepartment of Occupational Hygiene, College of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, some studies have tried to improve Phase Contrast Microscopy (PCM) for counting asbestos fibers. Due to the lack of a universally accepted alternative method, this study aimed to improve PCM for better counting of asbestos fibers. MATERIALS AND

methodsConfirmed asbestos standards were applied using a dust generator for sampling. Sampling from the dust generator was carried out according to the Occupational Safety and Health Administration (OSHA) ID-160 method and 95 samples with diverse densities were prepared to be counted using conventional and modern PCM. All samples were counted single blindly by a co-author of this study and the obtained data were analyzed by paired t-test, correlation coefficient and Bland-Altman analysis. Duplicate samples were prepared for qualitative analysis by Fourier transform infrared spectroscopy (FT-IR), scanning electron microscopy (SEM) and X ray.

resultsAsbestos densities on filters were in the range of less than 100 to 600 fibers/mm(2). Statistically, significant differences were observed for the count density of the 95 samples counted by the two phase contrast microscopes (P<0.001). Nikon microscope demonstrated higher counts compared to conventional microscope and had a lower coefficient of variation. Samples were analyzed qualitatively using FT-IR and SEM, and the presence of asbestos fibers was confirmed.

conclusionThe improved PCM and FT-IR methods presented in this study demonstrated more precise and accurate determination of personal exposure to airborne asbestos fibers and subsequent risk assessment.

Indexed as

Asbestos fibersFT-IR spectroscopyPhase contrast microscopyScanning electron microscopy

Identifiers

PMID25713590
PMCPMC4338051
OpenAlexW2127686458

What OpenQuestion holds

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LicenceCC BY-NC
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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.