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Billmann M, Hulot C, Pauget B, Badreddine R, Papin A, Pelfrêne A. Oral bioaccessibility of PTEs in soils: A review of data, influencing factors and application in human health risk assessment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 896:165263. [PMID: 37400023 DOI: 10.1016/j.scitotenv.2023.165263] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/26/2023] [Accepted: 06/30/2023] [Indexed: 07/05/2023]
Abstract
Understanding the behavior of metal(loi)ds transported from soil to humans is critical for human health risk assessment (HHRA). In the last two decades, extensive studies have been conducted to better assess human exposure to potentially toxic elements (PTEs) by estimating their oral bioaccessibility (BAc) and quantifying the influence of different factors. This study reviews the common in vitro methods used to determine the BAc of PTEs (in particular As, Cd, Cr, Ni, Pb, and Sb) under specific conditions (particularly in terms of the particle size fraction and validation status against an in vivo model). The results were compiled from soils derived from various sources and allowed the identification of the most important influencing factors of BAc (using single and multiple regression analyses), including physicochemical soil properties and the speciation of the PTEs in question. This review presents current knowledge on integrating relative bioavailability (RBA) in calculating doses from soil ingestion in the HHRA process. Depending on the jurisdiction, validated or non-validated bioaccessibility methods were used, and risks assessors applied different approaches: (i) using default assumptions (i.e., RBA of 1); (ii) considering that bioaccessibility value (BAc) accurately represents RBA (i.e., RBA equal to BAc); (iii) using regression models to convert BAc of As and Pb into RBA as proposed by the USA with the US EPA Method 1340; or (iv) applying an adjustment factor as proposed by the Netherlands and France to use BAc from UBM (Unified Barge Method) protocol. The findings from this review should help inform risk stakeholders about the uncertainties surrounding using bioaccessibility data and provide recommendations for better interpreting the results and using bioaccessibility in risk studies.
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Affiliation(s)
- Madeleine Billmann
- Univ. Lille, IMT Nord Europe, Univ. Artois, JUNIA, ULR 4515-LGCgE, Laboratoire de Génie Civil et géo-Environnement, 48 boulevard Vauban, F-59000 Lille, France; Agence de l'Environnement et de la Maîtrise de l'Énergie, 20 avenue du Grésillé BP 90406, F-49004 Angers Cedex 01, France
| | - Corinne Hulot
- Ineris, Parc technologique Alata, BP 2, F-60550 Verneuil-en-Halatte, France
| | | | - Rabia Badreddine
- Ineris, Parc technologique Alata, BP 2, F-60550 Verneuil-en-Halatte, France
| | - Arnaud Papin
- Ineris, Parc technologique Alata, BP 2, F-60550 Verneuil-en-Halatte, France
| | - Aurélie Pelfrêne
- Univ. Lille, IMT Nord Europe, Univ. Artois, JUNIA, ULR 4515-LGCgE, Laboratoire de Génie Civil et géo-Environnement, 48 boulevard Vauban, F-59000 Lille, France.
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Aruta A, Albanese S, Daniele L, Cannatelli C, Buscher JT, De Vivo B, Petrik A, Cicchella D, Lima A. A new approach to assess the degree of contamination and determine sources and risks related to PTEs in an urban environment: the case study of Santiago (Chile). ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:275-297. [PMID: 35014008 PMCID: PMC9884654 DOI: 10.1007/s10653-021-01185-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 12/13/2021] [Indexed: 06/14/2023]
Abstract
In 2017, a geochemical survey was carried out across the Commune of Santiago, a local administrative unit located at the center of the namesake capital city of Chile, and the concentration of a number of major and trace elements (53 in total) was determined on 121 topsoil samples. Multifractal IDW (MIDW) interpolation method was applied to raw data to generate geochemical baseline maps of 15 potential toxic elements (PTEs); the concentration-area (C-A) plot was applied to MIDW grids to highlight the fractal distribution of geochemical data. Data of PTEs were elaborated to statistically determine local geochemical baselines and to assess the spatial variation of the degree of soil contamination by means of a new method taking into account both the severity of contamination and its complexity. Afterwards, to discriminate the sources of PTEs in soils, a robust Principal Component Analysis (PCA) was applied to data expressed in isometric log-ratio (ilr) coordinates. Based on PCA results, a Sequential Binary Partition (SBP) was also defined and balances were determined to generate contrasts among those elements considered as proxies of specific contamination sources (Urban traffic, productive settlements, etc.). A risk assessment was finally completed to potentially relate contamination sources to their potential effect on public health in the long term. A probabilistic approach, based on Monte Carlo method, was deemed more appropriate to include uncertainty due to spatial variation of geochemical data across the study area. Results showed how the integrated use of multivariate statistics and compositional data analysis gave the authors the chance to both discriminate between main contamination processes characterizing the soil of Santiago and to observe the existence of secondary phenomena that are normally difficult to constrain. Furthermore, it was demonstrated how a probabilistic approach in risk assessment could offer a more reliable view of the complexity of the process considering uncertainty as an integral part of the results.
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Affiliation(s)
- Antonio Aruta
- Department of Earth, Environmental and Resources Sciences, University of Naples Federico II, 80126, Naples, Italy
| | - Stefano Albanese
- Department of Earth, Environmental and Resources Sciences, University of Naples Federico II, 80126, Naples, Italy.
| | - Linda Daniele
- Department of Geology, FCFM, Andean Geothermal Center of Excellence (CEGA) and Millenium Nucleus for Metal Tracing Along Subduction, Universidad de Chile, Plaza Ercilla 803, Santiago, Chile
| | - Claudia Cannatelli
- University of Alaska Anchorage, 3211 Providence Drive, Anchorage, AK, 99508, USA
| | - Jamie T Buscher
- University of Alaska Anchorage, 3211 Providence Drive, Anchorage, AK, 99508, USA
| | - Benedetto De Vivo
- Virginia Tech, Blacksburg, VA, 24061, USA
- Pegaso On Line University, Piazza Trieste e Trento 48, 80132, Naples, Italy
| | - Attila Petrik
- Eriksfiord AS, Prof. Olav Hanssensvei 7A, 4021, Stavanger, Norway
| | - Domenico Cicchella
- Department of Science and Technology, University of Sannio, 82100, Benevento, Italy
| | - Annamaria Lima
- Department of Earth, Environmental and Resources Sciences, University of Naples Federico II, 80126, Naples, Italy
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Assessment of Bioaccessibility and Health Risks of Toxic Metals in Roadside Dust of Dhaka City, Bangladesh. ATMOSPHERE 2022. [DOI: 10.3390/atmos13030488] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Spatial variations in the bioaccessibility and health risks induced by chromium (Cr), manganese (Mn), cobalt (Co), nickel (Ni), copper (Cu), zinc (Zn), arsenic (As) and lead (Pb) in roadside dust from different land-use areas, i.e., commercial areas (CA), planned residential areas (PRA), spontaneous residential areas (SRA) and urban green areas (UGA) in Dhaka city, Bangladesh, were investigated. An in vitro simple bioaccessibility extraction test (SBET) method, which allows the simulation of the gastric (GP) and intestinal phases (IP) of human digestion, was applied to evaluate bioaccessibility and human health risk, assessed using United States Environmental Protection Agency (U.S. EPA) modelling. The average bioaccessible concentration of Zn was the highest in both the gastric (74.4–244.5 µg/g) and intestinal phases (74.4–244.5 µg/g) in all the land-use areas except UGA. The bioaccessibility percentages of Co and Cu in the IP phase and As in the GP phase were >40% for all the land-use categories. Carcinogenic (Cr, Ni, As and Pb) and non-carcinogenic human health risks were evaluated for the ingestion pathway, in both children and adults. The results suggest that there were no non-carcinogenic risks for adults and children exposed to roadside dust toxic metals, but the risk levels of roadside dust toxic metals in some sampling areas were high. The carcinogenic risks of Cr in SRA (for children) and Ni in CA (for both adults and children), PRA (for children) and UGA (for children) were found to be within a tolerable range of 10−6 to 10−4.
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Ma JJ, Yan Y, Chen XJ, Niu ZR, Yu RL, Hu GR. Incorporating bioaccessibility and source apportionment into human health risk assessment of heavy metals in urban dust of Xiamen, China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 228:112985. [PMID: 34781125 DOI: 10.1016/j.ecoenv.2021.112985] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 11/03/2021] [Accepted: 11/09/2021] [Indexed: 05/22/2023]
Abstract
Heavy metals in urban dust could pose noticeable human health risks, but there are few studies focusing on comprehensive human health risk assessment with the incorporation of both bioaccessibility and source apportionment in urban dust. Thus, fifty-eight urban dust samples were collected from kindergartens in Xiamen to analyze the bioaccessibility-based, source-specific health risk of heavy metals (V, Co, Ni, As, Mo, Cr, Mn, Cu, Zn, and Pb). Most heavy metals, except for V and Mn, were significantly enriched in urban dust based on their values of geoaccumulation index (Igeo) and may be influenced by human activities. The oral bioaccessibility values of heavy metals, which were estimated by the Solubility/Bioaccessibility Research Consortium (SBRC) in vitro model, ranged from 1.563% to 76.51%. The source apportionment determined by applying the absolute principal component analysis-multiple linear regression (APCS-MLR) model indicated five main potential sources, coal combustion, traffic and industrial, natural, construction and furniture sources, and unidentified sources, with contributions of 34.09%, 20.72%, 18.72%, 7.597% and 18.87%, respectively, to the accumulation of heavy metals in urban dust. After incorporating bioaccessibility adjustments, lower non-carcinogenic and carcinogenic risks of heavy metals were observed than those based on total metal content, with the mean hazard index (HI) values being less than the threshold value (1) and the mean total carcinogenic risk (TCR) values exceeding the precautionary criterion (10-6) for both adults and children. By combining bioaccessibility-based health risk assessment and source apportionment, traffic and industrial emissions and coal combustion dominated the noncarcinogenic and carcinogenic risks induced by heavy metals in urban dust, respectively. This study is expected to promote the systematic integration of source apportionment and bioaccessibility into health risk estimation for heavy metal contamination in urban dust, thus providing useful implications for better human health protection.
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Affiliation(s)
- Jin-Jin Ma
- Department of Environmental Science and Engineering, Huaqiao University, Xiamen 361021, China
| | - Yu Yan
- Department of Environmental Science and Engineering, Huaqiao University, Xiamen 361021, China.
| | - Xue-Juan Chen
- Department of Environmental Science and Engineering, Huaqiao University, Xiamen 361021, China
| | - Zi-Ru Niu
- Department of Environmental Science and Engineering, Huaqiao University, Xiamen 361021, China
| | - Rui-Lian Yu
- Department of Environmental Science and Engineering, Huaqiao University, Xiamen 361021, China
| | - Gong-Ren Hu
- Department of Environmental Science and Engineering, Huaqiao University, Xiamen 361021, China
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