Evidence map›Paper›PMID 37444055›Full record

ArticleInternational journal of environmental research and public health2023

Distribution of Minor and Major Metallic Elements in Residential Indoor Dust: A Case Study in Latvia.

Agnese Araja, Maris Bertins, Gunita Celma, Lauma Busa, Arturs Viksna

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. 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
–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

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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.

  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

5 authors.

Agnese ArajaFaculty of Chemistry, University of Latvia, Jelgavas Str.1, LV-1004 Riga, Latvia.ORCID 0000-0001-6371-6207
Maris BertinsFaculty of Chemistry, University of Latvia, Jelgavas Str.1, LV-1004 Riga, Latvia.ORCID 0000-0002-0504-4163
Gunita CelmaFaculty of Chemistry, University of Latvia, Jelgavas Str.1, LV-1004 Riga, Latvia.ORCID 0000-0003-3299-5973
Lauma BusaFaculty of Chemistry, University of Latvia, Jelgavas Str.1, LV-1004 Riga, Latvia.ORCID 0000-0002-1324-0383
Arturs ViksnaFaculty of Chemistry, University of Latvia, Jelgavas Str.1, LV-1004 Riga, Latvia.ORCID 0000-0003-1440-798X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has not only brought considerable and permanent changes to economies and healthcare systems, but it has also greatly changed the habits of almost the entire society. During the lockdowns, people were forced to stay in their dwellings, which served as a catalyst for the initiation of a survey on the estimation of the metallic element content in residential indoor dust in different parts of Latvia. This article presents the study results obtained through the analysis of collected dust samples from 46 dwellings, both in the capital of Latvia, Riga, and in smaller cities. Two methods were employed for indoor dust collection: vacuum sampling and manual sampling with a brush and plastic spatula. After microwave-assisted acid extraction, the samples were analyzed using inductively coupled plasma mass spectrometry (ICP-MS) in terms of the major (Na, K, Ca, Mg, Al and Fe) and minor (Mn, Ni, Co, Pb, Cr, As, Ba, Li, Be, B, V, Cu, Zn, Se, Rb, Sr, Cd, La, Ce and Bi) elements. For the data analysis, principal component analysis was performed. Among the measured metals, the highest values were determined for the macro and most abundant elements (Na > K > Ca > Fe > Mg > Al). The concentration ranges of the persistently detected elements were as follows: Pb, 0.27-1200 mg kg

Indexed as

COVID-19Metals, HeavyTrace ElementsCadmiumCommunicable Disease ControlDustEnvironmental MonitoringHumansLatviaLeadSoilCadmiumDustLeadMetals, HeavySoilTrace Elementsdust samplingICP-MSindoor dustmetallic elementsPCA

Identifiers

PMID37444055
PMCPMC10341758

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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.