Risk and sources of heavy metals and metalloids in dust from university campuses: A case study of Xi'an, China

Fan, Xinyao; Li, Xinwei; Yu, Bo; Zuo, Ling; Fan, Pan; Yang, Yufan; Zhuang, Sukai; Liu, Huimin; Qin, Qing

doi:10.1016/j.envres.2021.111703

Cited by 43 publications

(8 citation statements)

References 71 publications

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“…RI , put forward by Håkanson [ 33 ], was computed using the following formula [ 33 ]

where RI is the overall ecological risk of all HMs determined in topsoil; E i is the potential ecological risk index of individual HM i ; T i is the toxic response coefficient of HM i , reflecting the toxicity degree of HM and the sensitivity of organisms to HM pollution. The toxic response coefficient of As, Co, Cu, Ni, Pb, Cr, V, Ba, Mn, and Zn is 10, 5, 5, 5, 5, 2, 2, 1, 1, and 1, respectively [ 34 ]; C i is the measured content of HM i ; B i is the background value of HM i [ 32 ]. The ecological risk grade based on the value of RI and E i was cited from the literature [ 35 ] and is listed in Table S2 .…”

Section: Methodsmentioning

confidence: 99%

Contamination and Probabilistic Ecological–Health Risk of Heavy Metal(loid)s in Urban Topsoil of Mianyang, SW China

2022

IJERPH

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Heavy metal(loid) (HM) pollution in urban topsoil seriously endangers the health of urban residents and urban sustainable development. Compared with large cities, the research on the HM pollution of topsoil in emerging medium-sized industrial cities is quite limited. This study focuses on topsoil HM contamination in Mianyang, which is a representative moderate emerging industrial city in Southwest China. The results indicate that Ba, Cr, Cu, and Zn in the samples were much higher than their background values. The hot spots of Ba, As, Cu, Pb, Co, Cr, and Zn showed an obvious enrichment trend. The potential ecological risk of HMs showed a low ecological risk, which was mainly caused by As. The investigated HMs presented no significant non-carcinogenic hazard to local adult residents, but there were three sampling sites which presented a non-carcinogenic hazard to children; the carcinogenic risks of As, Cr, Co, and Ni were acceptable. In this study, a mixed source of industry and traffic was identified to be the priority anthropogenic source, and Cr and As were identified as the priority elements for further risk control. The findings of our study could be beneficial to decision-makers with regard to taking appropriate measures to control and reduce HM pollution in the Mianyang urban area.

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“…RI , put forward by Håkanson [ 33 ], was computed using the following formula [ 33 ]

Section: Methodsmentioning

confidence: 99%

Contamination and Probabilistic Ecological–Health Risk of Heavy Metal(loid)s in Urban Topsoil of Mianyang, SW China

2022

IJERPH

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“…The findings of the comparison showed that the amounts of some metals in the indoor dust of the College of Science at Anbar University were greater than what was documented in the dust of other universities. The others results were lower Cd, Cr, Co, Cu, Pb, and Zn metal mean level in classrooms, laboratories and offices dust as summarized in Table 2 [13], [25], [26], [27], [15]. Mean concentrations in the dust of laboratories of the departments of biology, chemistry and physics are illustrated in Figure 3, while the mean amounts of those HMs in the classes of the departments of biology and chemistry are shown in Figure 4.…”

Section: Principle Components Analysis (Pca)mentioning

confidence: 99%

“…[7,[8][9][10][11]. There are very few studies on HMs pollution in universities campuses [12][13][14][15]. Campus dust heavy metals (HMs) pollution is a major issue, with possible effects on college students not insignificant [15].…”

Section: Introductionmentioning

confidence: 99%

“…There are very few studies on HMs pollution in universities campuses [12][13][14][15]. Campus dust heavy metals (HMs) pollution is a major issue, with possible effects on college students not insignificant [15]. This study's primary goals were to: (1) ascertain the amounts of Cr, Cd, Co, Cu and Pb in indoor dust from College of Science campus, University of Anbar, Iraq; (2) to assess these metals' levels of pollution; (3) characterize the sources of these heavy metals using multivariate statistics.…”

Section: Introductionmentioning

confidence: 99%

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Pollution Level and Sources of Heavy Metals in Indoor Dust from College of Science, University of Anbar Campus, Iraq

Al-Rawi,

Aljumialy,

Saod

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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This research aims to evaluate the level of heavy metal pollution [Cadmium (Cd), Cobalt (Co), Chromium (Cr), Copper (Cu), Lead (Pb) and Zinc (Zn)] in indoor dust samples taken from the College of Science at the University of Anbar in Iraq and their likely sources. Atomic absorption spectrophotometer was used to evaluate the dust samples that were taken from 39 locations (classrooms, offices, and laboratories). Zn > Pb > Cr > Co > Cu > Cd was the order in which the heavy metal concentrations were found. The findings showed that all metal concentrations at various times exceeded background values. Using the geo-accumulation index (Igeo) and contamination (CF), the pollution level was calculated. The values of Igeo and CF indicate that the indoor dust in the College of Science is heavily polluted with Pb and Cd and is unpolluted to moderate polluted with the other metals. Pb, Cd, and Zn may be released from anthropogenic sources, while Co, Cr, and Cu may come from a combination of sources, according to the coefficient of variation (CV) comparison of the heavy metal concentrations with background values, Pearson’s correlation, cluster analysis (CA), and principle component analysis (PCA).

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“…Heavy metals are non-biodegradable, and well-documented evidence supports that chronic exposure to heavy metals can cause neurodegenerative diseases (Bush, 2003;Mates et al, 2010). These pollutants arise from rapid urbanization and industrialization, such as municipal waste, traffic, aquaculture, agricultural chemicals, paint coatings, petrochemical industry, electronic industry, mining, and smelting (Tchounwou et al, 2012;Wang et al, 2013;Ojuederie and Babalola, 2017;Fan et al, 2020). Human exposure to heavy metals mainly via ingestion of metalcontaminated food, water, and employment in metal-contaminated workplaces (Tchounwou et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Assessing the Association Between Lead Pollution and Risk of Alzheimer’s Disease by Integrating Multigenomics

Zhang

Liang

et al. 2022

Front. Neurosci.

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Alzheimer’s disease (AD) is a life-threatening neurodegenerative disease of the elderly. In recent observations, exposure to heavy metals environmental may increase the risk of AD. However, there are few studies on the causal relationship between heavy metal exposure and AD. In this study, we integrated two large-scale summaries of AD genome-wide association study (GWAS) datasets and a blood lead level GWAS dataset and performed the two-sample Mendelian randomization analysis to assess the causality of blood lead level and AD risk. The results showed that there is a significantly positive causality between blood lead level and AD risk both in the inverse-variance weighted (IVW) model and the weighted median estimator (WME) model. An independent additional verification also reached a consistent conclusion. These findings further confirm the conclusions of previous studies and improve the understanding of the relationship between AD pathogenesis and the toxicity of lead in environmental pollution.

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Risk and sources of heavy metals and metalloids in dust from university campuses: A case study of Xi'an, China

Cited by 43 publications

References 71 publications

Contamination and Probabilistic Ecological–Health Risk of Heavy Metal(loid)s in Urban Topsoil of Mianyang, SW China

Contamination and Probabilistic Ecological–Health Risk of Heavy Metal(loid)s in Urban Topsoil of Mianyang, SW China

Pollution Level and Sources of Heavy Metals in Indoor Dust from College of Science, University of Anbar Campus, Iraq

Assessing the Association Between Lead Pollution and Risk of Alzheimer’s Disease by Integrating Multigenomics

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