Evidence map›Paper›PMID 35999899›Full record

ArticleJournal of aerosol science2021

3D Printer Particle Emissions: Translation to Internal Dose in Adults and Children.

Peter Byrley, William K Boyes, Kim Rogers, Annie M Jarabek

Abstract read
In one paragraph

Article in Journal of aerosol science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Simulated gastric leachate of 3D printer metal-fill filaments induces cytotoxic effects in rat and human intestinal models.Toxicology in vitro : an international journal published in association with BIBRA · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Microplastic Pollution: Chemical Characterization and Impact on Wildlife.International journal of environmental research and public health · 2023
    Review
  8. 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

4 authors.

Peter ByrleyHealth and Environmental Effects Assessment Division (HEEAD), Center for Public Health and Environmental Assessment, Office of Research and Development (ORD), USEPA, RTP, NC 27711.
William K BoyesPublic Health and Integrated Toxicology Division (PHID), Center for Public Health and Environmental Assessment (CPHEA), Office of Research and Development (ORD), USEPA, RTP, NC 27711.
Kim RogersWatershed and Ecosystem Characterization Division (WECD), Center for Environmental Measurement and Modeling (CEMM), Office of Research and Development (ORD), USEPA, RTP, NC 27711.
Annie M JarabekHealth and Environmental Effects Assessment Division (HEEAD), Center for Public Health and Environmental Assessment, Office of Research and Development (ORD), USEPA, RTP, NC 27711.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Desktop fused deposition modeling (FDM®) three-dimensional (3D) printers are becoming increasingly popular in schools, libraries, and among home hobbyists. FDM® 3D printers have been shown to release ultrafine airborne particles in large amounts, indicating the potential for inhalation exposure and consequent health risks among FDM® 3D printer users and other room occupants including children. These particles are generated from the heating of thermoplastic polymer feedstocks during the FDM® 3D printing process, with the most commonly used polymers being acrylonitrile butadiene styrene (ABS) and poly-lactic acid (PLA). Risk assessment of these exposures demands estimation of internal dose, especially to address intra-human variability across life stages. Dosimetry models have proven to effectively translate particle exposures to internal dose metrics relevant to evaluation of their effects in the respiratory tract. We used the open-access multiple path particle dosimetry (MPPD v3.04) model to estimate inhaled particle deposition in different regions of the respiratory tract for children of various age groups from three months to eighteen years old adults. Mass concentration data for input into the MPPD model were calculated using particle size distribution and density data from experimental FDM® 3D printer emissions tests using both ABS and PLA. The impact of changes in critical parameters that are principal determinants of inhaled dose, including: sex, age, and exposure duration, was examined using input parameter values available from the International Commission on Radiological Protection. Internal dose metrics used included regional mass deposition, mass deposition normalized by pulmonary surface area, surface area of deposited particles by pulmonary surface area, and retained regional mass. Total mass deposition was found to be highest in the 9-year-old to 18-year-old age groups with mass deposition by pulmonary surface area highest in 3-month-olds to 9-year-olds and surface area of deposited particles by pulmonary surface area to be highest in 9-year-olds. Clearance modeling revealed that frequent 3D printer users are at risk for an increased cumulative retained dose.

Indexed as

3D PrintingDosimetryEmissionsInhalationRespiratoryTranslation

Identifiers

PMID35999899
PMCPMC9393897

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.