The source-based health risk assessment of toxic elements in soils from coal resource-depleted city.

Xiaolan Yi, Yin Lu, Junchi Li, Damao Xu, Xin Xiao, Feng Xie

Abstract read

In one paragraph

Article in iScience, 2026. 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

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.

Heavy metal contamination, source apportionment and health risk in soil-crop systems of high-geochemical-background Pb-Zn mining area.iScience · 2026
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.

Xiaolan YiSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China.

Yin LuCentre for Urban Environmental Remediation, Beijing University of Civil Engineering and Architecture, Beijing 100044, China.

Junchi LiSPIC Laiyang Nuclear Energy CO., LTD., Yantai, Shandong 264000, China.

Damao XuSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China.

Xin XiaoSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China.

Feng XieSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A variety of anthropogenic activities have caused soils pollution with potentially toxic elements (PTEs) during the transformation of coal resource-exhausted areas, which pose potential health risks to humans. Take a typical Chinese coal resource-exhausted city as the research object, 93 topsoil samples were collected and PTEs concentrations were quantified using ICP-MS. The results indicated that the over-standard rates of Pb and Zn were 53.8% and 33.4%, respectively, with their elevated concentrations primarily concentrated in the southwestern part of the study area, likely due to complex industrial activities. Industrial activities (24.0%), road dust (24.1%), and copper smelting-natural weathering mixed source (22.4%) contribute relatively more to soil pollution. Moreover, industrial activities and road dusts were identified as the main risk sources, indicating that local stakeholders should take measures to control road traffic and industrial emissions.

Indexed as

Environmental sciencePollutionSoil

Identifiers

PMID41852747

DOI10.1016/j.isci.2026.114963

PMCPMC12993002

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC

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.