Comparison between inductively coupled plasma and X-ray fluorescence performance for Pb analysis in environmental soil samples

Maliki, Ali Al; Al-lami, Ahmed Kadhim; Hussain, H. M.; Al‐Ansari, Nadhir

doi:10.1007/s12665-017-6753-z

Cited by 39 publications

(17 citation statements)

References 15 publications

(12 reference statements)

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“…The coefficient of determination values for As, Cu, Ni, Mn and Fe were between 0.70 and 0.97, showing excellent comparability between the XRF and ICP-MS data 17. The slopes of the regression lines for As, Cu, Ni, Mn and Fe were between 0.73 and 1.40, suggesting that very little data correction is needed to match the XRF data to that of the ICP-MS 41…”

Section: Resultsmentioning

confidence: 99%

Human Health Risk and Bioaccessibility of Toxic Metals in Topsoils from Gbani Mining Community in Ghana

Darko

Boakye

Nkansah

et al. 2019

Journal of Health and Pollution

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Background. Anthropogenic activities such as artisanal mining pose a major environmental health concern due to the potential for discharge of toxic metals into the environment. Objectives. To determine the distribution and pollution patterns of arsenic (As), iron (Fe), nickel (Ni), cobalt (Co), chromium (Cr), manganese (Mn), copper (Cu) and zinc (Zn) in the topsoil of a mining community in Ghana, along with potential human health risks and in vitro bioaccessibility. Methods. Concentrations of metals were determined using X-ray fluorescence techniques and validated using inductively coupled plasma-mass spectrometry. Results. Concentrations of the metals in topsoil were in the order of magnitude of Cu (31.38 mg/kg) < Ni (45.39 mg/kg) < As (59.66 mg/kg) < Cr (92.87 mg/kg) < Zn (106.98 mg/kg) < Mn (1195.49 mg/kg) < Fe (30061.02 mg/kg). Geo-statistical and multivariate analyses based on hazard indices including contamination, ecological risks, geo-accumulation, and pollution load suggest that the topsoils are contaminated in the study area. The potential ecological risk index (PERI) showed high ecological risk effects (PERI=269.09), whereas the hazard index (1×10 −7 ) and carcinogenic risk index (1×10 −5 ) indicated low human health risks. Elevated levels of As, Cr, Ni, and Zn were found to emanate from anthropogenic origins, whereas Fe, Mn, and Cu levels were attributed mainly to geological and atmospheric depositions. Physicochemical parameters (pH, electrical conductivity and total organic carbon) showed weak positive correlations to the metal concentrations. Elemental bioaccessibility was variable, decreasing in the order of Mn (35± 2.9%) > Cu (29± 2.6%) > Ni (22± 1.3%) > As (9± 0.5%) > Cr (4± 0.6%) > Fe (2± 0.4%). Conclusions. Incorporation of in-vitro bioaccessibility into the risk characterization models resulted in a hazard index of less than 1, implying low human health risks. However, due to accumulation effects of the metals, regular monitoring is required. Competing Interests. The authors declare no competing financial interests.

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Section: Resultsmentioning

confidence: 99%

Human Health Risk and Bioaccessibility of Toxic Metals in Topsoils from Gbani Mining Community in Ghana

Darko

Boakye

Nkansah

et al. 2019

Journal of Health and Pollution

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“…Despite these drawbacks, elemental analysis by XRF has proven to correlate well with commonly used laboratory methods such as atomic absorption spectrometry (AAS), inductively coupled plasma atomic emission spectrometry (ICP-AES), and inductively coupled plasma mass spectrometry (ICP-MS) [7,16,17]. Yet, soil datasets in these comparative studies were often limited to a few samples (<50) [11,18,19], a few elements (1)(2) [20][21][22][23][24], or to a restricted study area with similar land use or similar parent material [11,13,21,25,26]. Additionally, only a few studies have investigated the impact of different XRF scanners by comparing their mutual performances [27,28].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Study of Three Different Portable XRF Scanners to Assess the Soil Geochemistry of An Extensive Sample Dataset

et al. 2019

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The assessment of soil elemental concentrations nowadays mainly occurs through conventional laboratory analyses. However, proximal soil sensing (PSS) techniques such as X-ray fluorescence (XRF) spectrometry are proving to reduce analysis time and costs, and thus offer a worthy alternative to laboratory analyses. Moreover, XRF scanners are non-destructive and can be directly employed in the field. Although the use of XRF for soil elemental analysis is becoming widely accepted, most previous studies were limited to one scanner, a few samples, a few elements, or a non-diverse sample database. Here, an extensive and diverse soil database was used to compare the performance of three different XRF scanners with results obtained through conventional laboratory analyses. Scanners were used in benchtop mode with built-in soil calibrations to measure the concentrations of 15 elements. Although in many samples Cu, S, P, and Mg concentrations were up to 6, 12, 13, and 5 times overestimated by XRF, and empirical recalibration is recommended, all scanners produced acceptable results, even for lighter elements. Unexpectedly, XRF performance did not seem to depend on soil characteristics such as CaCO3 content. While performances will be worse when expanding to the field, our results show that XRF can easily be applied by non-experts to measure soil elemental concentrations reliably in widely different environments.

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“…19 A t test, which assumed equal variances assessed any significant differences of mean concentrations obtained from the 2 methods by comparing their tabulated t value with that of 95% significance level. Ahmed et al 23 and Maliki et al 24 did a similar statistical manipulation to compare metal analysis by different techniques. Linear regression analysis was used to correlate results of the 2 methods.…”

Section: Discussionmentioning

confidence: 99%

“…The mean concentrations of various elements for the 2 techniques were compared using t-test (α = 0.05) as shown in Table 3. This method has been used in comparative analysis of methods for metals analyses as documented by Maliki et al 24 in a comparative study of XRF and ICP-MS for Pb analysis. Similarly, Nardi et al 27 used the method to compare metals in foods using ICP-MS and atomic absorption spectroscopy (AAS) techniques.…”

Section: T-test Analysismentioning

confidence: 99%

A Comparison of Reproducibility of Inductively Coupled Spectrometric Techniques in Soil Metal Analyses

Nyika

Onyari

Dinka

et al. 2019

Air, Soil and Water Research

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Precise estimation of metals in samples remains a challenge as a result of analytical biases and errors, which occur at sample collection, preparation, and measurement stages. A poor understanding of the nature and occurrence of these errors further aggravates this challenge. This study aimed at comparing the effectiveness of inductively coupled plasma (ICP) mass spectrometry (MS) and optical emission spectrometry (OES) techniques in quantifying metals from contaminated soils of Roundhill landfill vicinity. Using statistical tools, the study evaluated biases of the 2 methods. High coefficients of variation were realized for V, Cr, and Pb concentrations varied at various sampling sites. Concentrations of elements obtained using the 2 methods had no significant differences using t-test analysis. Definitive agreement for the 2 methods was observed for V, Cr, Co, Ni, Cu, Zn, Sr, and Pb concentrations, whereas the concentrations of Mg, Ca, Ti, Mn, and Fe showed some deviations in their regression lines. Spectral, systematic, memory, and carry over errors could be attributable to these deviations. The errors promote chelation and adsorption of ions in samples to form insoluble compounds that cannot be quantified. Overall, ICP-MS had greater sensitivity than ICP-OES in trace elements analysis compared with major elements.

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Comparison between inductively coupled plasma and X-ray fluorescence performance for Pb analysis in environmental soil samples

Cited by 39 publications

References 15 publications

Human Health Risk and Bioaccessibility of Toxic Metals in Topsoils from Gbani Mining Community in Ghana

Human Health Risk and Bioaccessibility of Toxic Metals in Topsoils from Gbani Mining Community in Ghana

A Comprehensive Study of Three Different Portable XRF Scanners to Assess the Soil Geochemistry of An Extensive Sample Dataset

A Comparison of Reproducibility of Inductively Coupled Spectrometric Techniques in Soil Metal Analyses

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