Evidence map›Paper›PMID 29679276›Full record

ArticleEnvironmental science and pollution research international2018

Health risk assessment of VOC emissions in laboratory rooms via a modeling approach.

Farzad Davardoost, Davood Kahforoushan

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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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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.

  1. Article
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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

2 authors.

Farzad DavardoostEnvironmental Engineering Research Center, Faculty of Chemical Engineering, Sahand University of Technology, Tabriz, Iran.
Davood KahforoushanEnvironmental Engineering Research Center, Faculty of Chemical Engineering, Sahand University of Technology, Tabriz, Iran. kahforoushan@sut.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the important agents menacing buildings' employees and residents' health is the emission of volatile organic compounds (VOCs) into the indoor environment. The present research studied the VOC emission to evaluate indoor air quality (IAQ) through studying in-laboratory processes and tasks. On account of that, three different pollutants (acetone, benzene, and toluene) were chosen as candidate VOCs, and Environmental Engineering Research Center at Sahand University of Technology was selected as a sample laboratory for each VOC. Using CFD model, concentrations of pollutants under unsteady state in a three-dimensional geometry at various temperatures were provided. To validate the considered model, the modeling results were compared to experimental data. Health risk was evaluated through the building using the OEL-C, OEL-STEL, and OEL-TWA parameters for the three pollutants. According to the mentioned parameters and the modeling results, 1 h following the emission, in order to reduce the health risk associated with short-term exposure to the emission, the staff should observe a minimum distance of 3, 2, and 1.8 m to the sources of acetone, benzene, and toluene, respectively. This is while, since average concentration of emission within the laboratory in an 8-h period is several times as large as OEL-TWA, then the laboratory staffs are strictly recommended not to work in the laboratory for long hours. Furthermore, using the results of this research, the staff can detect safe locations within the laboratory without any need to use emission monitoring equipment.

Indexed as

Air Pollution, IndoorBenzeneLaboratoriesRisk AssessmentTolueneVolatile Organic CompoundsBenzeneTolueneVolatile Organic CompoundsCFD modelingExposure assessmentIndoor air qualityLaboratoryRisk assessmentVolatile organic compounds

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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.