Evidence map›Paper›PMID 36821032›Full record

ReviewCurrent environmental health reports2023

Wearable Passive Samplers for Assessing Environmental Exposure to Organic Chemicals: Current Approaches and Future Directions.

Joseph O Okeme, Jeremy P Koelmel, Emily Johnson, Elizabeth Z Lin, Dong Gao, Krystal J Godri Pollitt

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current environmental health reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Chemical uptake into silicone wristbands over a five day period.Environmental pollution (Barking, Essex : 1987) · 2024
    Article
  9. Article
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.

Joseph O OkemeDepartment of Environmental Health Sciences, Yale School of Public Health, 60 College Street, Room 523, New Haven, CT, 06510, USA.
Jeremy P KoelmelDepartment of Environmental Health Sciences, Yale School of Public Health, 60 College Street, Room 523, New Haven, CT, 06510, USA.
Emily JohnsonDepartment of Environmental Health Sciences, Yale School of Public Health, 60 College Street, Room 523, New Haven, CT, 06510, USA.
Elizabeth Z LinDepartment of Environmental Health Sciences, Yale School of Public Health, 60 College Street, Room 523, New Haven, CT, 06510, USA.
Dong GaoDepartment of Environmental Health Sciences, Yale School of Public Health, 60 College Street, Room 523, New Haven, CT, 06510, USA.
Krystal J Godri PollittDepartment of Environmental Health Sciences, Yale School of Public Health, 60 College Street, Room 523, New Haven, CT, 06510, USA. krystal.pollitt@yale.edu.ORCID 0000-0001-7332-2228

Funding

The Yale Cancer Prevention and Control Training ProgramT32CA250803 · NCI · YALE UNIVERSITY · PI Melinda L Irwin, Xiaomei Ma · 2020 to 2026
$2.3M
NCI NIH HHS T32 CA250803
6 · The paper itself

Abstract

purpose of reviewWe are continuously exposed to dynamic mixtures of airborne contaminants that vary by location. Understanding the compositional diversity of these complex mixtures and the levels to which we are each exposed requires comprehensive exposure assessment. This comprehensive analysis is often lacking in population-based studies due to logistic and analytical challenges associated with traditional measurement approaches involving active air sampling and chemical-by-chemical analysis. The objective of this review is to provide an overview of wearable passive samplers as alternative tools to active samplers in environmental health research. The review highlights the advances and challenges in using wearable passive samplers for assessing personal exposure to organic chemicals and further presents a framework to enable quantitative measurements of exposure and expanded use of this monitoring approach to the population scale. RECENT

findingsOverall, wearable passive samplers are promising tools for assessing personal exposure to environmental contaminants, evident by the increased adoption and use of silicone-based devices in recent years. When combined with high throughput chemical analysis, these exposure assessment tools present opportunities for advancing our ability to assess personal exposures to complex mixtures. Most designs of wearable passive samplers used for assessing exposure to semi-volatile organic chemicals are currently uncalibrated, thus, are mostly used for qualitative research. The challenge with using wearable samplers for quantitative exposure assessment mostly lies with the inherent complexity in calibrating these wearable devices. Questions remain regarding how they perform under various conditions and the uncertainty of exposure estimates. As popularity of these samplers grows, it is critical to understand the uptake kinetics of chemicals and the different environmental and meteorological conditions that can introduce variability. Wearable passive samplers enable evaluation of exposure to hundreds of chemicals. The review presents the state-of-the-art of technology for assessing personal exposure to environmental chemicals. As more studies calibrate wearable samplers, these tools present promise for quantitatively assessing exposure at both the individual and population levels.

Indexed as

Air PollutantsVolatile Organic CompoundsComplex MixturesEnvironmental ExposureEnvironmental MonitoringHumansAir PollutantsComplex MixturesVolatile Organic CompoundsBroochExposureFresh airNon-targeted analysisPassive samplersSemi-volatile organic compounds (SVOCs)Targeted AnalysisVolatile organic compounds (VOCs)Wearable samplerWristbands

Identifiers

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.