Evidence map›Paper›PMID 34486024›Full record

ArticleAnnals of work exposures and health2022

Exploring Methods for Surveillance of Occupational Exposure from Additive Manufacturing in Four Different Industrial Facilities.

Gunilla Runström Eden, Håkan Tinnerberg, Lars Rosell, Rickie Möller, Ann-Charlotte Almstrand, Anna Bredberg

Abstract read
In one paragraph

Article in Annals of work exposures and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Identification of effective control technologies for additive manufacturing.Journal of toxicology and environmental health. Part B, Critical reviews · 2022
    Review
  11. 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

6 authors.

Gunilla Runström EdenUniversity of Gothenburg, Institute of Medicine, Sahlgrenska Academy, School of Public Health and Community Medicine, Gothenburg, Sweden.ORCID 0000-0003-0911-3493
Håkan TinnerbergUniversity of Gothenburg, Institute of Medicine, Sahlgrenska Academy, School of Public Health and Community Medicine, Gothenburg, Sweden.
Lars RosellRISE, Research Institutes of Sweden, Gothenburg, Sweden.
Rickie MöllerUniversity of Gothenburg, Institute of Medicine, Sahlgrenska Academy, School of Public Health and Community Medicine, Gothenburg, Sweden.
Ann-Charlotte AlmstrandUniversity of Gothenburg, Institute of Medicine, Sahlgrenska Academy, School of Public Health and Community Medicine, Gothenburg, Sweden.ORCID 0000-0003-0462-2803
Anna BredbergRISE, Research Institutes of Sweden, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

3D printing, a type of additive manufacturing (AM), is a rapidly expanding field. Some adverse health effects have been associated with exposure to printing emissions, which makes occupational exposure studies important. There is a lack of exposure studies, particularly from printing methods other than material extrusion (ME). The presented study aimed to evaluate measurement methods for exposure assessment in AM environments and to measure exposure and emissions from four different printing methods [powder bed fusion (PBF), material extrusion (ME), material jetting (MJ), and vat photopolymerization] in industry. Structured exposure diaries and volatile organic compound (VOC) sensors were used over a 5-day working week. Personal and stationary VOC samples and real-time particle measurements were taken for 1 day per facility. Personal inhalable and respirable dust samples were taken during PBF and MJ AM. The use of structured exposure diaries in combination with measurement data revealed that comparatively little time is spent on actual printing and the main exposure comes from post-processing tasks. VOC and particle instruments that log for a longer period are a useful tool as they facilitate the identification of work tasks with high emissions, highlight the importance of ventilation and give a more gathered view of variations in exposure. No alarming levels of VOCs or dust were detected during print nor post-processing in these facilities as adequate preventive measures were installed. As there are a few studies reporting negative health effects, it is still important to keep the exposure as low as reasonable.

Indexed as

Occupational ExposureVolatile Organic CompoundsDustHumansManufacturing and Industrial FacilitiesVentilationDustVolatile Organic Compounds3D printingadditive manufacturingdiaryexposureindustrymaterial extrusionmaterial jettingoccupationalparticlespowder bed fusionvat photopolymerizationVOC

Identifiers

PMID34486024
PMCPMC8855698

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.