Evidence map›Paper›PMID 38922473›Full record

ArticleEnvironmental science and pollution research international2026

Measurement of volatile organic compounds using tethered balloons in a polluted industrial site in Catalonia (Spain).

Isabel Díez-Palet, Clara Jaén, Esther Marco, Barend L Van Drooge, Pilar Fernández, Joan O Grimalt

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Isabel Díez-PaletInstitute of Environmental Assessment and Water Research (IDAEA-CSIC), Jordi Girona, 18-26, 08034, Barcelona, Catalonia, Spain.
Clara JaénInstitute of Environmental Assessment and Water Research (IDAEA-CSIC), Jordi Girona, 18-26, 08034, Barcelona, Catalonia, Spain.
Esther MarcoInstitute of Environmental Assessment and Water Research (IDAEA-CSIC), Jordi Girona, 18-26, 08034, Barcelona, Catalonia, Spain.
Barend L Van DroogeInstitute of Environmental Assessment and Water Research (IDAEA-CSIC), Jordi Girona, 18-26, 08034, Barcelona, Catalonia, Spain.
Pilar FernándezInstitute of Environmental Assessment and Water Research (IDAEA-CSIC), Jordi Girona, 18-26, 08034, Barcelona, Catalonia, Spain.
Joan O GrimaltInstitute of Environmental Assessment and Water Research (IDAEA-CSIC), Jordi Girona, 18-26, 08034, Barcelona, Catalonia, Spain. joan.grimalt@idaea.csic.es.ORCID http://orcid.org/0000-0002-7391-5768

Funding

Ministerio de Ciencia e Innovación FPU 19/06826Ministerio de Ciencia e Innovación PGC2018-102288-B-I00Ministerio de Ciencia e Innovación PRE19-091344
6 · The paper itself

Abstract

Understanding the chemical composition of volatile organic compounds (VOCs) near emission sources and in the background atmosphere above the mixing layer height (MLH) provides insight into the fate of VOCs and is essential for developing effective air pollution control strategies. Unfortunately, knowledge of the qualitative and quantitative changes of VOCs and their vertical transport in the atmosphere is limited due to challenging experimental setups. In this study, an innovative method using tethered balloons was tested and implemented to sample 40 VOCs and O

Indexed as

Air PollutantsEnvironmental MonitoringVolatile Organic CompoundsAir PollutionAltitudeIndustryOzoneSpainAir PollutantsOzoneVolatile Organic CompoundsAir pollutionEmission sourcesGC-MS analysisMixing layerTethered balloon samplingVOCs

Identifiers

PMID38922473
PMCPMC13415484

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.