Evidence map›Paper›PMID 40958982›Full record

ArticleAerosol science and technology : the journal of the American Association for Aerosol Research2025

Application and validation of a wearable monitor for assessing time- and location-resolved exposures to particulate matter in California's Central Valley.

Xiaoying Li, Jessica Tryner, Bonnie N Young, Luis Hernandez Ramirez, Mollie Phillips, Sherry WeMott, Grant Erlandson, Grace Kuiper, Daniel Dean, Nayamin Martinez and 3 more

Abstract read
In one paragraph

Article in Aerosol science and technology : the journal of the American Association for Aerosol Research, 2025. 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
  2. Familial Differences in Personal PMEnvironmental science & technology · 2025
    Article
  3. 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

13 authors.

Xiaoying LiDepartment of Mechanical Engineering, Colorado State University, Fort Collins, Colorado, USA.
Jessica TrynerAccess Sensor Technologies, Fort Collins, Colorado, USA.
Bonnie N YoungDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA.
Luis Hernandez RamirezDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA.
Mollie PhillipsAccess Sensor Technologies, Fort Collins, Colorado, USA.
Sherry WeMottDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA.
Grant ErlandsonDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA.
Grace KuiperDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA.
Daniel DeanDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA.
Nayamin MartinezCentral California Environmental Justice Network, Fresno, California, USA.
Lorena SanpedroCentral California Environmental Justice Network, Fresno, California, USA.
Sheryl MagzamenDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA.
John VolckensDepartment of Mechanical Engineering, Colorado State University, Fort Collins, Colorado, USA.

Funding

Validation of the UPAS+: A filter-based air sampler coupled with a suite of real-time sensorsR44ES024041 · NIEHS · ACCESS SENSOR TECHNOLOGIES, LLC · PI MILLER-LIONBERG, DANIEL D, TRYNER, JESSICA · 2017 to 2023
$3.8M
NIEHS NIH HHS R44 ES024041
6 · The paper itself

Abstract

Reliable assessment of personal exposure to air pollution remains a challenge due to the limitations of monitoring technology. Recent technology developments, such as reductions in the size and cost of samplers as well as incorporation of continuous sensors for location, activity, and exposure (i.e., global positioning systems [GPS], accelerometers, and low-cost pollutant sensors), have advanced our ability to assess personal exposure to air pollution. This study evaluated the upgraded Ultrasonic Personal Aerosol Sampler (UPAS v2.1 PLUS) as a tool for quantifying time-integrated indoor and personal exposure to particulate matter (PM) and black carbon (BC) among a panel of participants in California's Central Valley and exploring personal exposures in different microenvironments using time/location-resolved PM data. Three field campaigns demonstrated that filter-derived PM

Identifiers

PMID40958982
PMCPMC12435455

What OpenQuestion holds

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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.