Evidence map›Paper›PMID 25977589›Full record

ArticleJournal of aerosol science2015

Evaluation of particle resuspension in young children's breathing zone using stationary and robotic (PIPER) aerosol samplers.

Jessica A Sagona, Stuart L Shalat, Zuocheng Wang, Maya Ramagopal, Kathleen Black, Marta Hernandez, Gediminas Mainelis

Abstract read
In one paragraph

Article in Journal of aerosol science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Pyrethroid levels in toddlers' breathing zone following a simulated indoor pesticide spray.Journal of exposure science & environmental epidemiology · 2019
    Article
  5. Article
  6. 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

7 authors at 2 institutions in 1 country.

Jessica A SagonaDepartment of Environmental Sciences, Rutgers University, 14 College Fa rm Rd., New Brunswick, NJ 08901.
Stuart L ShalatDepartment of Environmental and Occupational Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08901 ; Environmental and Occupational Health Sciences Institute, Rutgers University, 170 Frelinghuysen Rd., Piscataway, NJ 08854.
Zuocheng WangDepartment of Environmental Sciences, Rutgers University, 14 College Fa rm Rd., New Brunswick, NJ 08901.
Maya RamagopalDepartment of Pediatrics, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08901.
Kathleen BlackDepartment of Environmental and Occupational Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08901.
Marta HernandezDepartment of Environmental and Occupational Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08901.
Gediminas MainelisDepartment of Environmental Sciences, Rutgers University, 14 College Fa rm Rd., New Brunswick, NJ 08901 ; Environmental and Occupational Health Sciences Institute, Rutgers University, 170 Frelinghuysen Rd., Piscataway, NJ 08854.
Rutgers, The State University of New Jersey · USJohnson University · US

Funding

Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI ROBERT John LAUMBACH · 1988 to 2026
$47.4M
Training Grant for the Joint Graduate Program in Exposure Science.T32ES019854 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI MAINELIS, GEDIMINAS, WEISEL, CLIFFORD P · 2011 to 2020
$2.6M
Validation of a Robotic Surrogate for Measurement of Early Childhood Personal ExpR01ES020415 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI SHALAT, STUART LLOYD · 2011 to 2012
$895k
Characterization of Floor Level Aerosol (PM) Exposure and Childhood AsthmaR01ES014717 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI SHALAT, STUART LLOYD · 2007 to 2009
$850k
NIEHS NIH HHS P30 ES005022NIEHS NIH HHS R01 ES014717NIEHS NIH HHS R01 ES020415NIEHS NIH HHS T32 ES019854
6 · The paper itself

Abstract

Development of asthma in young children may be associated with high exposure to particulate matter (PM). However, typical stationary samplers may not represent the personal exposure of children ages 3 and younger since they may not detect particles resuspended from the floor as children play, thus reducing our ability to correlate exposure and disease etiology. To address this, an autonomous robot, the Pretoddler Inhalable Particulate Environmental Robotic (PIPER) sampler, was developed to simulate the movements of children as they play on the floor. PIPER and a stationary sampler took simultaneous measurements of particle number concentration in six size channels using an optical particle counter and inhalable PM on filters in 65 homes in New Jersey, USA. To study particle resuspension, for each sampler we calculated the ratio of particle concentration measured while PIPER was moving to the average concentration of particles measured during a reference period when PIPER remained still. For all investigated particle sizes, higher particle resuspension was observed by PIPER compared to the stationary sampler. In 71% of carpeted homes a more significant (at the α = 0.05 level) resuspension of particles larger than 2.5 μm was observed by PIPER compared to the stationary sampler. Typically, particles larger than 2.5 μm were resuspended more efficiently than smaller particles, over both carpeted and bare floors. Additionally, in carpeted homes estimations of PM

Indexed as

children's exposures to PMfloor typePM size fractionsPretoddler Inhalable Particulate Environmental Robotic samplerresuspensionrobotic sampling platform

Identifiers

PMID25977589
PMCPMC4426999
OpenAlexW2022322232

What OpenQuestion holds

Textmetadata
LicenceTDM
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.