Human Health Risk Assessment and Potentially Harmful Element Contents in the Fruits Cultivated in the Southern Poland

Gruszecka‐Kosowska, Agnieszka

doi:10.3390/ijerph16245096

Cited by 14 publications

(16 citation statements)

References 41 publications

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“…Bioconcentration coefficient (BC): describes the plant's capacity to adsorb PTEs from soil when PTEs appear in an available form (Gruszecka-Kosowska, 2019;Inacio et al, 2014). BC is calculated as the ratios between the PTE concentration in leaves or edible parts and the available concentrations of PTE in soil (Wang et al, 2006):…”

Section: Soil To Plant Transfer Indicesmentioning

confidence: 99%

An approach for evaluating the bioavailability and risk assessment of potentially toxic elements using edible and inedible plants—the Remance (Panama) mining area as a model

González-Valoys

Salgado

Rodríguez

et al. 2021

Environ Geochem Health

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Mining affects the environment, particularly through the persistence of accumulation of tailings materials; this is aggravated under tropical climatic conditions, which favours the release of potentially toxic elements (PTEs) bioavailable to the local flora and fauna and supposing a risk to human health. The Remance gold mine (Panamá), exploited intermittently for more than 100 years, and has remained derelict for over 20 years. Within the area live farmers who carry out subsistence agriculture and livestock activities. The objective of this study has been to study the transference of PTEs in the local agricultural soil-plants system, with the goal of identifying their bioavailability to perform a human risk assessment. The results obtained of the Bioaccumulation coefficient in local plants show very weak to strong absorption of As (< 0.001–1.50), Hg (< 0.001–2.38), Sb (0.01–7.83), Cu (0.02–2.89), and Zn (0.06–5.32). In the case of Cu in grass (18.3 mg kg−1) and plants (16.9 mg kg−1) the concentrations exceed the maximum authorised value in animal nutrition for ruminants (10 mg kg−1). The risk to human health for edible plants exceeds the non-carcinogenic risk for rice, corn, cassava, and tea leaves for Sb (HQ 19.450, 18.304, 6.075, 1.830, respectively), the carcinogenic risk for Cu (CR = 2.3 × 10–3, 7.7 × 10 −4, 1.1 × 10–3, 1.0 × 10–3, respectively), and the carcinogenic risk for As in rice, corn and tea leaves (CR = 8 × 10–5, 3 × 10–5, 3 × 10–5, respectively). Urgent measures are needed to alleviate these effects.

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Section: Soil To Plant Transfer Indicesmentioning

confidence: 99%

An approach for evaluating the bioavailability and risk assessment of potentially toxic elements using edible and inedible plants—the Remance (Panama) mining area as a model

González-Valoys

Salgado

Rodríguez

et al. 2021

Environ Geochem Health

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“…Soil is the basic material of human production and the origin of cultural civilization (Gruszecka-Kosowska, 2019). Its development is affected by climate and meteorology (Othmani et al, 2015), soil parent rock (Santos-Francés et al, 2017), landform, vegetation coverage, and human activities.…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution and Evaluation of Heavy Metal Pollution in Soil Based on Three-Dimensional Model and Kriging Interpolation

Liu¹,

Zhang²,

Ye³

et al. 2022

American Journal of Biochemistry and Biotechnology

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Soil heavy metal pollution is an important content for soil environmental governance. Based on the three-Dimensional (3D) geological modeling technology and ordinary Kriging method, this study described and analyzed the soil pollution status and spatial distribution characteristics of a site in Zhongshan, Guangxi. The results showed that combining 3D geological model and the Kriging interpolation method can well evaluate soil heavy metal pollution. The 3D geological model showed that the pollutant concentration in soil ranked As>Pb>Mo and the pollution degree decreased gradually from top to bottom. As such, the miscellaneous fill soil layer was the layer that needs to be repaired. In addition, the single-factor pollution level and Nemerow comprehensive index method were used to evaluate the pollution risk of the site. The evaluation results showed that the soil quality was seriously threatened by As and the heavy pollution (Pi>3) accounted for 61.10%. Furthermore, attention should be paid to the potential risk of Pb in the miscellaneous fill layer. This study can provide a 3D visualization method for comprehensive analysis of soil heavy metal pollution and a scientific reference for the formulation and implementation of subsequent site remediation strategies.

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“…Soil is the basic material of human production and the origin of cultural civilization [1,2]. The development of soil is affected by the climate and meteorology [3], the soil parent material [4], the topography and landscape, vegetation coverage, human activities, etc.…”

Section: Introductionmentioning

confidence: 99%

“…The purpose of this study was (1) to analyze the spatial distribution of heavy metals in the topsoil around the open-pit mining area and (2) to explain the potential mechanism affecting the spatial distribution of heavy metals. The research methods of this paper provide a reference for the analysis of the source and spatial distribution of pollutants and provide a theoretical basis and case support for targeted pollution control in the mining area.…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution Characteristics of Heavy Metals in Surface Soil of Xilinguole Coal Mining Area Based on Semivariogram

Chen

Yang

Liu

et al. 2021

IJGI

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Heavy metal pollution is a major environmental problem facing humankind. Locating the source and distribution of heavy metal pollutants around mines can provide a scientific basis for environmental control. The structure effect and random effect of a semivariogram can be used to determine the reason for spatial differences in the heavy metal content in surface soil, and the coefficient of variation and regression analysis can be used to confirm that the verification accuracy meets the geostatistical requirements. According to the maximum difference method, the content of heavy metals in the surface soil of the mining area is higher than that of the surroundings, and Cu and Zn levels are higher than the background values for Inner Mongolia. In the present case, Zn, Mn, Pb, Cr, Ni, and Cu levels exceeded the background values for the surroundings of the study area by 65.10%, 53.72%, 52.17%, 46.24%, 33.08%, and 29.49%, respectively. The results show that human activities play a decisive role in the spatial distribution of heavy metals, leading to their spatial distribution in the form of “core periphery”. This distribution pattern was significantly affected by the slope, NDVI value, and the distance from the mining area, but the spatial distribution of Pb was significantly related to high-grade roads. The research methods and conclusions have reference significance for the sources and spatial distribution characteristics of heavy metal pollution in similar mining areas and provide a target for the prevention and control of environmental pollution in the study area.

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Human Health Risk Assessment and Potentially Harmful Element Contents in the Fruits Cultivated in the Southern Poland

Cited by 14 publications

References 41 publications

An approach for evaluating the bioavailability and risk assessment of potentially toxic elements using edible and inedible plants—the Remance (Panama) mining area as a model

An approach for evaluating the bioavailability and risk assessment of potentially toxic elements using edible and inedible plants—the Remance (Panama) mining area as a model

Spatial Distribution and Evaluation of Heavy Metal Pollution in Soil Based on Three-Dimensional Model and Kriging Interpolation

Spatial Distribution Characteristics of Heavy Metals in Surface Soil of Xilinguole Coal Mining Area Based on Semivariogram

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