Evidence map›Paper›PMID 42141226›Full record

ArticleEnvironmental science and pollution research international2026

Characterization of particulate depositions collected from archeological monuments in Greece and Cyprus using multiple analytical techniques.

Thaleia Gkraikou, Argyri Kozari, Evangelia Vouvoudi, Lambrini Papadopoulou, Vasilios Melfos, Brunella Santarelli, Constantini Samara

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

7 authors.

Thaleia GkraikouDepartment of Chemistry, Laboratory of Environmental Pollution Control, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
Argyri KozariDepartment of Chemistry, Laboratory of Environmental Pollution Control, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
Evangelia VouvoudiDepartment of Chemistry, Laboratory of Polymers and Colours Chemistry and Technology, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
Lambrini PapadopoulouDepartment of Geology, Section of Mineralogy-Petrology-Economic Geology, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
Vasilios MelfosDepartment of Geology, Section of Mineralogy-Petrology-Economic Geology, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
Brunella SantarelliThe Cyprus Institute, Science and Technology in Archaeology and Culture Research Center (STARC), Konstantinou Kavafi 20, Aglantzia, 2121, Nicosia, Cyprus.
Constantini SamaraDepartment of Chemistry, Laboratory of Environmental Pollution Control, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece. csamara@chem.auth.gr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Morphological and geochemical characterization of the particulate depositions collected from the surfaces of urban monuments located in two Mediterranean cities characterized by high levels of atmospheric particulate matter (PM), namely Thessaloniki in Greece and Nicosia in Cyprus, was carried out using multiple analytical techniques. The geochemical composition of bulk samples was found to be dominated by CaO and SiO

Indexed as

Particulate MatterAir PollutantsCyprusDustEnvironmental MonitoringGreeceAir PollutantsDustParticulate MatterAirborne dustCultural heritageDry depositionGeochemical compositionNicosiaThessaloniki

Identifiers

PMID42141226
PMCPMC13226405

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.