Oxidative potential of metal-polluted urban dust as a potential environmental stressor for chronic diseases

Schiavo, Benedetto; Meza-Figueroa, Diana; Vizuete-Jaramillo, Efrain; Robles-Morúa, A.; Angulo‐Molina, Aracely; Reyes-Castro, Pablo A.; Inguaggiato, Claudio; González-Grijalva, Belem; Pedroza‐Montero, M.

doi:10.1007/s10653-022-01403-9

Cited by 12 publications

(6 citation statements)

References 81 publications

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“…The following eqn (6)–(9) showed the calculation methods: 54–56 HI = ΣHQCR = ADD ing/inh/der × SFTR = ΣCRwhere, RfD and SF represent respectively the homologous reference dose and the homologous slope factor. 35,42,50,57–60…”

Section: Methodsmentioning

confidence: 99%

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Characteristics and health risk assessment of heavy metals in dust of a waste printed circuit board recycling workshop, China

Wang

Liu

2023

RSC Adv.

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Section: Methodsmentioning

confidence: 99%

“…where, RfD and SF represent respectively the homologous reference dose and the homologous slope factor. 35,42,50,[57][58][59][60] 3. Results and discussion…”

Section: Health Risk Assessmentmentioning

confidence: 99%

Characteristics and health risk assessment of heavy metals in dust of a waste printed circuit board recycling workshop, China

Wang

Liu

2023

RSC Adv.

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“…Among recent studies of air contamination in urban areas, Ref. [2] reported the spatial distribution of metals associated with oxidative stress and urban dust's oxidative potential, Ref. [3] studied the metal concentration of PM during a decade, and Ref.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy-Based Analysis of Air Particle Pollution Data: An Index IMC for Magnetic Biomonitoring

Chaparro,

Molinari

2024

Atmosphere

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Airborne magnetic particles may be harmful because of their composition, morphology, and association with potentially toxic elements that may be observed through relationships between magnetic parameters and pollution indices, such as the Tomlinson pollution load index (PLI). We present a fuzzy-based analysis of magnetic biomonitoring data from four Latin American cities, which allows us to construct a magnetic index of contamination (IMC). This IMC uses four magnetic parameters, i.e., magnetic susceptibility χ, saturation isothermal remanent magnetization SIRM, coercivity of remanence Hcr, and SIRM/χ, and proposes summarizing the information to assess an area based exclusively on magnetic parameters more easily. The fuzzy inference system membership functions are built from the standardization of the data to become independent of the values. The proposed IMC is calculated using the baseline values for each case study, similar to the PLI. The highest IMC values were obtained in sites close to industrial areas, and in contrast, the lowest ones were observed in residential areas far from avenues or highways. The linear regression model between modeled IMC and PLI data yielded robust correlations of R2 > 0.85. The IMC is proposed as a complementary tool for air particle pollution and is a cost-effective magnetic approach for monitoring areas.

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“…The distribution, morphology, and particle size of dust, soils, and sediments can be identified using a Scanning Electron Microscope (SEM), so it is widely used in environmental studies [1,2]. The microstructure of soil includes the particle morphology, particle arrangement, porosity, and contact relationship of particles [3,4].…”

Section: Introductionmentioning

confidence: 99%

Determining Effective Threshold Range of Image Pixel Values for Municipal Waste-Contaminated Clay

Zhang,

Cao,

Guo

2024

Applied Sciences

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Currently, more attention has been given to the study of the microstructure of contaminated clay, while few studies have focused on the analysis of SEM images of clay from a threshold perspective. The purpose of this paper was to determine the threshold range of image pixel values for municipal waste-contaminated clay by observing and processing SEM images of municipal waste-contaminated clay under different seepage depths and concentrations. In this study, municipal waste-contaminated clay samples were obtained at different depths in a column test exhibiting different CaCO3 and CH3COOH concentrations, imaged through SEM and subjected to binarization. Three steps for determining the pixel threshold value of the SEM images were described, including preprocessing and binarizing the SEM images in Image Pro Plus 6.0 (IPP) and morphological processing by the Pores (Particles) and Cracks Analysis System V2.3 (PCAS). The apparent void ratio of contaminated clay and the fractal dimension of clay particles were applied as evaluation parameters. The determined effective threshold range of the image pixel values of municipal waste-contaminated clay was 110–140. The accuracy of this method was verified in three aspects: the relationship between the threshold value and the apparent void ratio, the variation in pore blockage with seepage depth, and the characteristics of the compaction factor with seepage depth and pollutant concentration.

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Oxidative potential of metal-polluted urban dust as a potential environmental stressor for chronic diseases

Cited by 12 publications

References 81 publications

Characteristics and health risk assessment of heavy metals in dust of a waste printed circuit board recycling workshop, China

Characteristics and health risk assessment of heavy metals in dust of a waste printed circuit board recycling workshop, China

A Fuzzy-Based Analysis of Air Particle Pollution Data: An Index IMC for Magnetic Biomonitoring

Determining Effective Threshold Range of Image Pixel Values for Municipal Waste-Contaminated Clay

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