X-ray fluorescence spectrometry

Potts, Philip J.; Ellis, Andrew T.; Kregsamer, P.; Streli, Christina; West, Margaret; Wobrauschek, P.

doi:10.1039/b005284l

Cited by 34 publications

(20 citation statements)

References 489 publications

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“…Standard-based models use empirically-determined influence coefficients to describe the relationship between concentrations and measured intensities (Potts and Webb 1992;Kanngießer 2003). Influence coefficients are determined for each element of interest by analysis of well characterized reference materials, or standards, which must be of comparable quality (matrix, composition) to the samples being analysed.…”

Section: Benchtop μ-Xrfmentioning

confidence: 99%

Application of benchtop micro-XRF to geological materials

2017

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Recent developments in X-ray optics have allowed the development of a range of commercially available benchtop micro-XRF (μ-XRF) instruments that can produce X-ray spot sizes of 20-30 μm on the sample, allowing major and trace element analysis on a range of sample types and sizes with minimal sample preparation. Such instruments offer quantitative analysis using fundamental parameter based "standardless" quantification algorithms. The accuracy and precision of this quantitative analysis on geological materials, and application of micro-XRF to wider geological problems is assessed using a single benchtop micro-XRF instrument.Quantitative analysis of internal reference materials and international standards shows that such instruments can provide highly reproducible data but that, for many silicate materials, standardless quantification is not accurate. Accuracy can be improved, however, by using a simple type-2 calibration against a reference material of similar matrix and composition.Qualitative analysis with micro-XRF can simplify and streamline sample characterisation and processing for subsequent geochemical and isotopic analysis.

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Section: Benchtop μ-Xrfmentioning

confidence: 99%

Application of benchtop micro-XRF to geological materials

2017

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“…Each powderized fraction was mixed and homogenized with a PVP methyl cellulose binder and compressed in a sterilized pellet mold to 10 tons, forming a thin (4-to 5-mm) cylindrical pellet with a smooth homogenized surface. The pellets were dried at 1008C and were analyzed using an automatic X-ray fluorescence (XRF) machine as described by Harvey and Atkin (1983) and Potts and Webb (1992). The chemical analyses were initially carried out for Ba, Pb, Cu, and Zn.…”

Section: Preliminary Samplingmentioning

confidence: 99%

“…Coarse materials above 3350 lm were removed from the sample using dry sieving. Chemical analysis was carried out using an automatic XRF machine as described by Harvey and Atkin (1982) and Potts and Webb (1992) in Mining Engineering Department of Nottingham University in UK. The samples were analyzed for a large number of elements but only two elements have been studied in detail (Pb and Zn).…”

Section: Detailed Samplingmentioning

confidence: 99%

Geostatistical conditional simulation for the assessment of contaminated land by abandoned heavy metal mining

Ersoy

Yünsel

Atici

2008

Environmental Toxicology

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Abandoned mine workings can undoubtedly cause varying degrees of contamination of soil with heavy metals such as lead and zinc has occurred on a global scale. Exposure to these elements may cause to harm human health and environment. In the study, a total of 269 soil samples were collected at 1, 5, and 10 m regular grid intervals of 100 3 100 m area of Carsington Pasture in the UK. Cell declustering technique was applied to the data set due to no statistical representativity. Directional experimental semivariograms of the elements for the transformed data showed that both geometric and zonal anisotropy exists in the data. The most evident spatial dependence structure of the continuity for the directional experimental semivariogram, characterized by spherical and exponential models of Pb and Zn were obtained. This study reports the spatial distribution and uncertainty of Pb and Zn concentrations in soil at the study site using a probabilistic approach. The approach was based on geostatistical sequential Gaussian simulation (SGS), which is used to yield a series of conditional images characterized by equally probable spatial distributions of the heavy elements concentrations across the area. Postprocessing of many simulations allowed the mapping of contaminated and uncontaminated areas, and provided a model for the uncertainty in the spatial distribution of element concentrations. Maps of the simulated Pb and Zn concentrations revealed the extent and severity of contamination. SGS was validated by statistics, histogram, variogram reproduction, and simulation errors. The maps of the elements might be used in the remediation studies, help decision-makers and others involved in the abandoned heavy metal mining site in the world. # 2008 Wiley Periodicals, Inc. Environ Toxicol 23: 96-109, 2008

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“…Dust filter samples were dissolved by microwave digestion (Prolabo, Fontenay-sous-Bois Cédex, France) in semiopen vessels with HF, HNO 3 and HCl according to the prEN 13656 standard. 12 The applied digestion program is described in Table 5.…”

Section: Icp-aes Measurementsmentioning

confidence: 99%

“…The application of x-ray fluorescence (XRF) spectrometry to the analysis of aerosol and air particulate pollution is still of growing interest, as described in the review articles of Potts and co-workers. 3,4 Analytical techniques such as inductively coupled plasma atomic emission spectrometry (ICP-AES) and inductively coupled plasma mass spectrometry (ICP-MS) are preceded by time-consuming acid digestion techniques which are subject to contamination and loss of analytes. XRF overcomes this problem and is capable of analyzing filters without any pretreatment.…”

Section: Introductionmentioning

confidence: 99%

A risk assessment study of heavy metals in ambient air by WD‐XRF spectrometry using aerosol‐generated filter standards

et al. 2003

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A risk assessment study of the air quality in the surrounding of roads covered with slags coming from the non-ferrous metal industry was performed. A monitoring campaign was carried out at three locations in Flanders by collecting the PM10 fraction and the total suspended particulates (TSP) of the airborne dust particles, entrapping heavy metals, on membrane filters. The heavy metal concentration on the dust filters was determined by wavelength-dispersive x-ray fluorescence (WD-XRF) spectrometry. The XRF calibration curves were set up with filter standards prepared in the laboratory using an aerosol-generated loading system. The acquired WD-XRF results were confirmed by inductively coupled plasma atomic emission spectrometric (ICP-AES) measurements after acid digestion on a selected number of filters. Electron probe microanalysis (EPMA) confirmed that aerosol-loaded filter standards and dust filters with a concentration level of the analyzed element below 3300 ng cm −2 were homogeneously distributed. Dust filters with higher concentrations, and especially filters loaded with the TSP fraction, reflected an inhomogeneous distribution of the analyzed element on the filter. The WD-XRF analytical results acquired in the monitoring campaign revealed that the concentration of Pb on the dust filters never exceeded the immission standard (yearly average) of 2000 ng m −3 . It can be stated that the impact on human health is limited and can still be reduced by covering the polluted roads with a layer of asphalt. Further evaluation of soil and water samples from the nearby surroundings reveals that the heavy metal content in the slags makes an important contribution to environmental pollution, especially the contamination of groundwater.

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X-ray fluorescence spectrometry

Cited by 34 publications

References 489 publications

Application of benchtop micro-XRF to geological materials

Application of benchtop micro-XRF to geological materials

Geostatistical conditional simulation for the assessment of contaminated land by abandoned heavy metal mining

A risk assessment study of heavy metals in ambient air by WD‐XRF spectrometry using aerosol‐generated filter standards

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