Incorporating bioaccessibility into human health risk assessments of heavy metals in urban park soils

Luo, Xiao-San; Ding, Jing; Xu, Bo; Wang, Yijie; Li, Hongbo; Yu, Shen

doi:10.1016/j.scitotenv.2012.02.053

Cited by 459 publications

(190 citation statements)

References 26 publications

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“…Median soil pH is 5.4, 6.8 and 6.4 for Glasgow (G), London (L) and Northampton (N), respectively; no pH data is available for the Swansea (S) soil samples. The median bioaccessible fraction ranges from 38% in Northampton to 68% in Swansea and London, similar to average bioaccessibility of 49% recorded in urban park soils in Xiamen (Luo et al, 2012a), 59% in Hong Kong urban soils (Luo et al, 2012b), 46-60% in the urban green area soils of Torino (Italy) and Sevilla (Spain) (Madrid et al, 2008) and 48±12% in roadside soils from Torino (Sialelli et al, 2011). Pb bioaccessibility data for peri-urban contaminated soils in Australian and New Zealand (Smith et al, 2011) is mainly for shooting range and mining/smelting impacted soils so it is not comparable with the UK urban bioaccessibility data.…”

Section: Summary Statisticssupporting

confidence: 72%

Modelling lead bioaccessibility in urban topsoils based on data from Glasgow, London, Northampton and Swansea, UK

Appleton

Cave

Wragg

2012

Environmental Pollution

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Predictive linear regression (LR) modelling between bioaccessible Pb and a range of total elemental compositions and soil properties was executed for the Glasgow, London, Northampton and Swansea urban areas in order to assess the potential for developing a national urban bioaccessible Pb dataset for the UK. LR indicates that total Pb is the only highly significant independent variable for estimating the bioaccessibility of Pb.Bootstrap resampling shows that the relationship between total Pb and bioaccessible Pb is broadly the same in the four urban areas. The median bioaccessible fraction ranges from 38% in Northampton to 68% in London and Swansea. Results of this study can be used as part of a lines of evidence approach to localised risk assessment but should not be used to replace bioaccessibility testing at individual sites where local conditions may vary considerably from the broad overview presented in this study. Capsule AbstractTotal Pb is the only significant predictor for bioaccessible Pb in topsoils from four urban areas in the UK.

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Section: Summary Statisticssupporting

confidence: 72%

Modelling lead bioaccessibility in urban topsoils based on data from Glasgow, London, Northampton and Swansea, UK

Appleton

Cave

Wragg

2012

Environmental Pollution

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“…The R-Bio-HMs were generally comparable to the combined two-or three-step BCR extracted fractions (Fig. 2), suggesting that Bio-HMs were contributed by various forms of HMs in soils except the residue, which was bound to the inner crystal lattice in the minerals in soils, thus could hardly be mobilized (Ko et al 2005;Luo et al 2012a;Tessier et al 1979). However, for Cu, the R-Bio-HMs were evidently greater than the three combined BCR fractions, suggesting that Cu in soils could be easily mobilized and become accessible to biota in soils and human who ingest the soils (Van Herreweghe et al 2003;Wu et al 2015).…”

Section: Discussionmentioning

confidence: 89%

“…Subsample less than 150 μm in particle size was obtained by using an ultracentrifuge mill (Luo et al 2012a). To determine the HM concentrations, a portion of the subsample was accurately weighted and digested with a concentrated acid mixture (HNO 3 , HF, and HClO 4 ) (Fu and Wei 2012).…”

Section: Determination Of Total Concentration and Bioaccessibility Ofmentioning

confidence: 99%

“…The effect of pH in affecting the Bio-HMs was observed to be due to its influence on most of the chemical species of HMs in soils (Basta et al 1993). Luo et al (2012a, b) reported that the concentrations of HMs in the particle fractions of urban soils generally increased with the decreased particle size in Hong Kong, and the optimal accumulation had happened in the finest fractions (<50 μm) (Luo et al 2012b). Iron and manganese (Fe/Mn) oxides as well as organic matter can reduce the mobility of metals in soils via adsorption reactions (Chuan et al 1996;Zimdahl and Skogerboe 1977).…”

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confidence: 99%

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Factors influencing the heavy metal bioaccessibility in soils were site dependent from different geographical locations

Zhu

Yang

Wei

2015

Environ Sci Pollut Res

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A soil survey was conducted in urban areas from five sites, including Beijing, Baotou, Datong, Fuyang, and Xiantao in China. The objective was to explore the most significant factors that may impact the bioaccessibility of heavy metals (Bio-HMs), including As, Cr, Cu, Pb, and Zn, in soils. Twenty to 30 composite soil samples were collected at each site. The various soil properties, including pH, particle size, Fe/Mn, and organic matter contents, were analyzed. The chemical operated forms of HMs in soils were measured by the Bureau of Reference (BCR) sequential extraction scheme, while the Bio-HMs were determined by the simple bioaccessibility extraction test (SBET) procedure. The concentrations of total heavy metals (T-HMs) in soils from different sites (cities) were in the range as As (5.69-9.86), ) mg/kg. Cu and Pb had higher relative bioaccessibilities (48-70 %) than those of As and Cr (6-15 %), indicating higher health risks of the former than the latter two HMs. The Bio-HMs for various HMs were comparable to the first two or three combined BCR extracted fractions, with an exception of Cu, whose Bio-HMs were larger than the combined three BCR fractions, indicating that Cu was highly accessible in soils as compared with other HMs. Factor analysis showed that all variables, including soil property parameters and BCR extracted fractions, could be represented by three common factors extracted with higher than 0.5 loadings and ∼80 % cumulative contribution to the total variance. Among the three common factors, factor 1, containing mainly pH, texture, and Fe/Mn variables, and factor 3, containing mainly organic matter variable, could be attributed to geographical regions, while factor 2, containing mainly BCR extracted fractions, could be ascribed to relative bioaccessibility of HMs (R-Bio-HMs). Interactive mapping of the main factors and cluster analysis were consistent, which supported the Bsite gathering^of the soil sample pools, suggesting that the BioHMs in soils in different geographical localities were site dependent.

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“…Here, data compilation and evaluation of past studies helps to determine whether the particular heavy metal exposure may increase the risk of causing human adverse health effects (23).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Selected Heavy Metals in Indoor Dust in Khorramabad City, Iran: A Case Study

Sabzevari

Sobhanardakani

2018

Jundishapur J Health Sci

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Background: Indoor dust as a significant source of pollution in the urban environment can cause serious ecological and health problems. Therefore, the current study has been conducted to determine the Cadmium, Chromium, Lead, and Nickel contamination in house dust in the city of Khorramabad in 2017. Methods: A total of 80 samples of indoor dust were collected from 20 regions of the study area. After sample digestion, the content of metals was determined using the inductively coupled plasma-optical emission spectrometer (ICP-OES).

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Incorporating bioaccessibility into human health risk assessments of heavy metals in urban park soils

Cited by 459 publications

References 26 publications

Modelling lead bioaccessibility in urban topsoils based on data from Glasgow, London, Northampton and Swansea, UK

Modelling lead bioaccessibility in urban topsoils based on data from Glasgow, London, Northampton and Swansea, UK

Factors influencing the heavy metal bioaccessibility in soils were site dependent from different geographical locations

Analysis of Selected Heavy Metals in Indoor Dust in Khorramabad City, Iran: A Case Study

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