Revealing XRF data quality level, comparability with ICP-ES/ICP-MS soil PTE contents and similarities in PTE induced health risk

Tepanosyan, Gevorg; Harutyunyan, Norik; Sahakyan, Lilit

doi:10.1007/s10653-021-01079-7

Cited by 6 publications

(4 citation statements)

References 37 publications

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“…The reported concentrations were: Cr (36-43 mg/kg), Cu (14-15 mg/kg), Mn (108-112 mg/kg), Ni (20-21 mg/ kg), Pb (6-7 mg/kg) and Zn (44-67 mg/kg). These lower values are expected as aqua regia may not completely digest the heavy metals, whereas FP-XRF provides total elemental concentration [37]. In this study also, AAS values were lesser than FP-XRF for most of the elements.…”

Section: Plos Onementioning

confidence: 48%

Qualitative comparison of elemental concentration in soils and other geomaterials using FP-XRF

et al. 2022

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Field portable X-ray fluorescence (FP-XRF) has tremendous potential in geoenvironmental engineering as a qualitative assessment tool. Identification of the elevated concentrations of the selected elements (Cr, Cu, Mn, Ni, Pb, and Zn) in various geomaterials like soil-like-material (SLM), incinerated bottom ash (IBA), construction and demolition waste (CDW), zinc tailings (ZT) and fly ash (FA) was performed by FP-XRF and compared with the local soil–Delhi silt. Comparably higher concentrations (mg/kg) of Cr (401.0), Cu (499.0), Pb (532.0), Zn (608.0) in SLM, Cr (195.0), Cu (419.0), Ni (93.0), Pb (931.0), Zn (771.0) in IBA and Cr (195.0), Cu (4000.0), Pb (671.0), Zn (7122.0) in ZT were observed. CDW and FA showed similar concentrations range as in local soils. FP-XRF was also used in-situ on local soil at 11 sites to examine its ability to identify the elements with significant variations in concentrations. The results showed high variability in Cl and S concentration values across the 11 sites attributed to the changing moisture content and dissolved salts. The concentration range for the remaining elements were similar at all sites. The verification of the detected elements through visual inspection of the spectrum was also carried out.

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Section: Plos Onementioning

confidence: 48%

Qualitative comparison of elemental concentration in soils and other geomaterials using FP-XRF

et al. 2022

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“…The XRF detection error can be calculated by Equation (1). The soil environmental similarity can be expressed as Equation (2). The algorithm calls the 'GaussianMixture' function in Python, and the parameters of GMC are estimated by expectation maximization EM.…”

Section: Gaussian Mixture Clustering-multilevel Model Constructionmentioning

confidence: 99%

“…Soil heavy metal pollution has emerged as a global environmental and public health concern, and enter the food chain through crop enrichment, posing a threat to human health. 1,2 Soil heavy metal monitoring and surveys are crucial for assessing the environmental quality of agricultural production areas. However, soil heavy metal pollution exhibits spatial heterogeneity, and the high cost associated with traditional soil testing and analysis methods leads to sparse sampling in monitoring surveys, which is insufficient for precise risk management and efficient remediation.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Determination Of Cd Using Energy Dispersion XRF Based On Gaussian Mixture Clustering-Multilevel Model Recalibration

Gao

2024

At.Spectrosc.

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“…Environmental degradation due to the operation of non-ferrous metal smelting plants is a problem in many countries around the world (Ettler 2016). In particular, in Armenia, copper (Cu) smelting has led to metal contamination of soils and general environmental degradation (Tepanosyan et al 2022, Tepanosyan et al 2020). The term "metals" as used in this study was previously used to refer to "heavy metals".…”

Section: Introductionmentioning

confidence: 99%

Metal phytotoxicity thresholds in copper smelter-contaminated soils

Zhikharev

Sahakyan

Tepanosyan

et al. 2022

Idesia

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Environmental problems associated with non-ferrous smelter operations are a problem in many countries around the world. Copper production in Armenia has resulted in metal contamination of soils and general degradation of environmental quality. In this study we attempted to determine the thresholds of phytotoxicity of metals in soils contaminated by a copper smelter in Armenia. The studied soils were sampled in the Alaverdi valley, located ~200 km north of Yerevan. The range of metal concentrations in the studied soils was very wide, e.g., total copper in the soil was 87-5885 mg kg -1 . Most soils had nearly neutral pH (6.9 ± 0.57), and average organic matter content (6.3 ± 1.9). Some soils were saline. Perennial ryegrass root elongation was used as an operational method to assess phytotoxicity. We calculated a contamination index for each soil studied and plotted root length as a function of soil contamination index. Root growth was mainly affected by the contamination index based on total metal concentration, while the contamination index based on extractable metal concentration proved to be a weak predictor. Soil organic matter had a stimulatory (positive) effect, whereas electrical conductivity had a toxic (negative) effect on root growth. Despite these confounding factors, we were able to derive phytotoxicity thresholds for metals (EC 10 , EC 25 , EC 50 ) based on the contamination index. In conclusion, we discuss the practical importance of this study and future research needs concerning contaminated soils in the Alaverdi Valley.

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Revealing XRF data quality level, comparability with ICP-ES/ICP-MS soil PTE contents and similarities in PTE induced health risk

Cited by 6 publications

References 37 publications

Qualitative comparison of elemental concentration in soils and other geomaterials using FP-XRF

Qualitative comparison of elemental concentration in soils and other geomaterials using FP-XRF

Quantitative Determination Of Cd Using Energy Dispersion XRF Based On Gaussian Mixture Clustering-Multilevel Model Recalibration

Metal phytotoxicity thresholds in copper smelter-contaminated soils

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