Evidence map›Paper›PMID 26758302›Full record

ArticleEnvironmental science and pollution research international2016

Source apportionment of indoor PM10 in Elderly Care Centre.

M Almeida-Silva, T Faria, D Saraga, T Maggos, H T Wolterbeek, S M Almeida

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 17 citations in OpenAlex.

  1. 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 at 4 institutions in 3 countries.

M Almeida-SilvaCentro de Ciências e Tecnologias Nucleares, Instituto Superior Técnico, Universidade de Lisboa, E.N. 10 ao Km 139.7, 2695-066, Bobadela LRS, Portugal. marina@ctn.ist.utl.pt.
T FariaCentro de Ciências e Tecnologias Nucleares, Instituto Superior Técnico, Universidade de Lisboa, E.N. 10 ao Km 139.7, 2695-066, Bobadela LRS, Portugal.
D SaragaEnvironmental Research Laboratory, Institute of Nuclear and Radiological Science & Technology, Energy & Safety, NCSR 'DEMOKRITOS', Athens, Greece.
T MaggosEnvironmental Research Laboratory, Institute of Nuclear and Radiological Science & Technology, Energy & Safety, NCSR 'DEMOKRITOS', Athens, Greece.
H T WolterbeekFaculty of Applied Sciences, Department of Radiation, Radionuclides and Reactors, Section RIH, Technical University of Delft, Delft, The Netherlands.
S M AlmeidaCentro de Ciências e Tecnologias Nucleares, Instituto Superior Técnico, Universidade de Lisboa, E.N. 10 ao Km 139.7, 2695-066, Bobadela LRS, Portugal.
University of Lisbon · PTDelft University of Technology · NLInstitute of Nuclear & Radiological Sciences and Technology, Energy & SafetyNational Centre of Scientific Research "Demokritos" · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Source contribution to atmospheric particulate matter (PM) has been exhaustively modelled. However, people spend most of their time indoors where this approach is less explored. This evidence worsens considering elders living in Elderly Care Centres, since they are more susceptible. The present study aims to investigate the PM composition and sources influencing elderly exposure. Two 2-week sampling campaigns were conducted-one during early fall (warm phase) and another throughout the winter (cold phase). PM10 were collected with two TCR-Tecora(®) samplers that were located in an Elderly Care Centre living room and in the correspondent outdoor. Chemical analysis of the particles was performed by neutron activation analysis for element characterization, by ion chromatography for the determination of water soluble ions and by a thermal optical technique for the measurement of organic and elemental carbon. Statistical analysis showed that there were no statistical differences between seasons and environments. The sum of the indoor PM10 components measured in this work explained 57 and 53 % of the total PM10 mass measured by gravimetry in warm and cold campaigns, respectively. Outdoor PM10 concentrations were significantly higher during the day than night (p value < 0.05), as well as Ca(2+), Fe, Sb and Zn. The contribution of indoor and outdoor sources was assessed by principal component analysis and showed the importance of the highways and the airport located less than 500 m from the Elderly Care Centre for both indoor and outdoor air quality.

Indexed as

AgedAir PollutantsAir Pollution, IndoorCarbonEnvironmental MonitoringHomes for the AgedHumansParticle SizeParticulate MatterPrincipal Component AnalysisSeasonsWeatherAir PollutantsCarbonParticulate MatterElderlyExposureIndoor air qualityParticlesSource apportionment

Identifiers

PMID26758302
OpenAlexW2237004231

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.