Characteristics, Sources, and Health Risks of PM2.5‐Bound Heavy Metals in School Environments: A Comparative Study of Two Cities in South China

ABSTRACT Fine particulate matter (PM 2.5 ) serves as a significant carrier of toxic heavy metals and poses potential health risks, particularly for children in school environments. However, limited studies have systematically compared school settings across cities with differing industrial profiles, resulting in a critical gap in understanding spatial variations in exposure risks. This study characterized the concentrations, seasonal variability, sources, and inhalation health risks of five PM2.5‐bound metals, namely Cu, Cd, Ni, Pb, and Zn, in schools from two contrasting cities in Guangdong Province, China: Guangzhou and Maoming. PM 2.5 samples were collected from 20 schools during summer and winter of 2018 and analyzed by inductively coupled plasma mass spectrometry. Pollution status, assessed using the geoaccumulation index (Igeo) and enrichment factor (EF), indicated that PM2.5‐bound metals in both Guangzhou and Maoming were predominantly of anthropogenic origin, with Cu and Cd exhibiting the highest enrichment and contamination levels, whereas Ni and Pb were largely associated with natural background sources and Zn reflected mixed origins. Principal component analysis (PCA) was used to identify dominant sources of heavy metals and support source apportionment. The noncarcinogenic and carcinogenic risks were assessed for children and adults. Across both cities, Cu (471.19) showed the highest mean concentrations, followed by Zn, Pb, Ni, and Cd, with winter values generally exceeding summer values. Guangzhou exhibited stronger anthropogenic enrichment than Maoming, particularly for Cu (27.72) and Cd (27.32), indicating greater influence from traffic, industrial combustion, and urban emissions. Correlation analysis suggested common and seasonally enhanced sources in winter. Health risk assessment showed that all hazard quotients and carcinogenic risk values were below accepted thresholds, indicating low immediate inhalation risk. However, children experienced higher exposure than adults, and Pb (4.85E‐03) and Cu (3.27E‐03) contributed most to noncarcinogenic risk, while Cd (7.30E‐06) and Ni (2.21E‐06) posed the main carcinogenic concern. Overall, the results highlight the need for continued source control in school environments, with special attention to nonexhaust traffic emissions and industrial combustion.

Authors

Institutions

Publication Details

Journal
Journal of Applied Toxicology
Published
2026-08-17
DOI
https://doi.org/10.1002/jat.70398
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characteristics, Sources, and Health Risks of PM2.5‐Bound Heavy Metals in School Environments: A Comparative Study of Two Cities in South China

Guang‐Hui Dong, Li‐Zi Lin, Haseeb Tufail Moryani, Wen-Wen Bao et al.
Journal of Applied Toxicology
Air Quality and Health Impacts
article

Characteristics, Sources, and Health Risks of PM2.5‐Bound Heavy Metals in School Environments: A Comparative Study of Two Cities in South China

Guang‐Hui Dong, Li‐Zi Lin, Haseeb Tufail Moryani, Wen-Wen Bao, Yaqin Zhang, Fu Wang, Yang Zhou, Yan Yang
article en

Abstract

ABSTRACT Fine particulate matter (PM 2.5 ) serves as a significant carrier of toxic heavy metals and poses potential health risks, particularly for children in school environments. However, limited studies have systematically compared school settings across cities with differing industrial profiles, resulting in a critical gap in understanding spatial variations in exposure risks. This study characterized the concentrations, seasonal variability, sources, and inhalation health risks of five PM2.5‐bound metals, namely Cu, Cd, Ni, Pb, and Zn, in schools from two contrasting cities in Guangdong Province, China: Guangzhou and Maoming. PM 2.5 samples were collected from 20 schools during summer and winter of 2018 and analyzed by inductively coupled plasma mass spectrometry. Pollution status, assessed using the geoaccumulation index (Igeo) and enrichment factor (EF), indicated that PM2.5‐bound metals in both Guangzhou and Maoming were predominantly of anthropogenic origin, with Cu and Cd exhibiting the highest enrichment and contamination levels, whereas Ni and Pb were largely associated with natural background sources and Zn reflected mixed origins. Principal component analysis (PCA) was used to identify dominant sources of heavy metals and support source apportionment. The noncarcinogenic and carcinogenic risks were assessed for children and adults. Across both cities, Cu (471.19) showed the highest mean concentrations, followed by Zn, Pb, Ni, and Cd, with winter values generally exceeding summer values. Guangzhou exhibited stronger anthropogenic enrichment than Maoming, particularly for Cu (27.72) and Cd (27.32), indicating greater influence from traffic, industrial combustion, and urban emissions. Correlation analysis suggested common and seasonally enhanced sources in winter. Health risk assessment showed that all hazard quotients and carcinogenic risk values were below accepted thresholds, indicating low immediate inhalation risk. However, children experienced higher exposure than adults, and Pb (4.85E‐03) and Cu (3.27E‐03) contributed most to noncarcinogenic risk, while Cd (7.30E‐06) and Ni (2.21E‐06) posed the main carcinogenic concern. Overall, the results highlight the need for continued source control in school environments, with special attention to nonexhaust traffic emissions and industrial combustion.

Journal of Applied Toxicology
Sun Yat-sen University (CN), Guangdong Pharmaceutical University (CN), Shenzhen Center for Disease Control and Prevention (CN)
National Natural Science Foundation of China, Guangxi Key Research and Development Program
Sustainable cities and communities
Openalex Percentile: Top 11%
Air Quality and Health Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.