“Analysis of X-ray spectra by iterative least squares (AXIL): new developments”. Vekemans B, Janssens K, Vincze L, Adams F, van Espen P, X-ray spectrometry 23, 278 (1994). http://doi.org/10.1002/XRS.1300230609
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.1002/XRS.1300230609
|
“Automated segmentation of μ-XRF image sets”. Vekemans B, Janssens K, Vincze L, Aerts A, Adams F, Hertogen J, X-ray spectrometry 26, 333 (1997)
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
Impact Factor: 1.298
|
“Component selection for a compact micro-XRF spectrometer”. Bichlmeier S, Janssens K, Heckel J, Gibson D, Hoffmann P, Ortner HM, X-ray spectrometry 30, 8 (2001). http://doi.org/10.1002/XRS.457
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
Impact Factor: 1.298
Times cited: 33
DOI: 10.1002/XRS.457
|
“ID18F: a new micro-X-ray fluorescence end-station at the European Synchrotron Radiation Facility (ESRF): preliminary results”. Somogyi A, Drakopoulos M, Vincze L, Vekemans B, Camerani C, Janssens K, Snigirev A, Adams F, X-ray spectrometry 30, 242 (2001). http://doi.org/10.1002/XRS.494.ABS
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
Impact Factor: 1.298
Times cited: 76
DOI: 10.1002/XRS.494.ABS
|
“Monte Carlo simulation of conventional and synchrotron energy-dispersive X-ray spectrometers”. Janssens K, Vincze L, van Espen P, Adams F, X-ray spectrometry 22, 234 (1993). http://doi.org/10.1002/XRS.1300220412
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.1002/XRS.1300220412
|
“Use of microscopic XRF for non-destructive analysis in art an archaeometry”. Janssens K, Vittiglio G, Deraedt I, Aerts A, Vekemans B, Vincze L, Wei F, de Ryck I, Schalm O, Adams F, Rindby A, Knöchel A, Simionovici AS, Snigirev A, X-ray spectrometry 29, 73 (2000). http://doi.org/10.1002/(SICI)1097-4539(200001/02)29:1<73::AID-XRS416>3.3.CO;2-D
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
Impact Factor: 1.298
DOI: 10.1002/(SICI)1097-4539(200001/02)29:1<73::AID-XRS416>3.3.CO;2-D
|
“Comparison of four mobile, non‐invasive diagnostic techniques for differentiating glass types in historical leaded windows : MA‐XRF , UV–Vis–NIR, Raman spectroscopy and IRT”. Cagno S, van der Snickt G, Legrand S, Caen J, Patin M, Meulebroeck W, Dirkx Y, Hillen M, Steenackers G, Rousaki A, Vandenabeele P, Janssens K, X-Ray Spectrometry , xrs.3185 (2020). http://doi.org/10.1002/XRS.3185
Abstract: This paper critically compares the performance of four non-invasive techniques that match the accuracy, flexibility, time-efficiency, and transportability required for in situ characterization of leaded glass windows: macroscopic X-ray fluorescence imaging (MA-XRF), UV-Vis-NIR, Raman spectroscopy, and infrared thermography (IRT). In order to compare the techniques on equal grounds, all techniques were tested independently of each other by separate research groups on the same historical leaded window tentatively dated to the 17th century, without prior knowledge. The aim was to assess the ability of these techniques to document the conservation history of the window by classifying and grouping the colorless glass panes, based on differences in composition. IRT, MA-XRF and UV-Vis-NIR spectroscopy positively distinguished at least two glass groups, with MA-XRF providing the most detailed chemical information. In particular, based on the ratio between the network modifier (K) and network stabilizer (Ca) and on the level of colorants and decolorizers (Fe, Mn, As), the number of plausible glass families could be strongly reduced. In addition, UV-Vis-NIR detected cobalt at ppm level and gave more specific information on the chromophore Fe2+/Fe(3+)ratio. Raman spectroscopy was hampered by fluorescence caused by the metal ions of the decolorizer in most of the panes, but nevertheless identified one group as HLLA.
Keywords: A1 Journal article; Engineering sciences. Technology; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Antwerp Cultural Heritage Sciences (ARCHES)
Impact Factor: 1.2
DOI: 10.1002/XRS.3185
|
“X-ray spectrometry applied for characterization of bricks of Brazilian historical sites”. Asfora VK, Bueno CC, de Barros VM, Khoury H, Van Grieken R, X-Ray Spectrometry , 1 (2020). http://doi.org/10.1002/XRS.3194
Abstract: This paper presents the results of X-ray fluorescence (XRF) analysis of bricks sampled from historical places in Pernambuco, a state in the northeastern region of Brazil. In this study, twenty bricks found in historical sites were analyzed. Two bricks made in the 17th century, presumably used as ballast in ships coming from Holland, five locally manufactured bricks: one from 18th century, three from 19th century, and one from 20th century, and thirteen bricks collected from a recent Archeological investigation of Alto da Se, in the town of Olinda. Qualitative determination of the chemical elements present in the samples was undertaken using a self-assembled portable XRF system based on a compact X-ray tube and a thermoelectrically cooled Si-PIN photodiode system, both commercially available. X-ray diffraction analysis was also carried out to assess the crystalline mineral phases present in the bricks. The results showed that quartz (SiO2) is the major mineral content in all bricks. Although less expressive in the XRD patterns, mineral phases of illite, kaolinite, anorthite, and rutile are also identified. The trace element distribution patterns of the bricks, determined by the XRF technique, is dominated by Fe and, in decreasing order, by K, Ti, Ca, Mn, Zr, Rb, Sr, Cr, and Y with slight differences among them. Analyses of the chemical compositional features of the bricks, evaluated by principal component analysis of the XRF datasets, allowed the samples to be grouped into five clusters with similar chemical composition. These cluster groups were able to identify both age and manufacturing sites. Dutch bricks prepared with different geological clays compositions were defined.
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
Impact Factor: 1.2
DOI: 10.1002/XRS.3194
|
“Application of auxiliary signals in X-ray fluorescence and electron microprobe analysis for density evaluation”. Kuczumov A, Vekemans B, Schalm O, Vincze L, Dorriné, W, Gysels K, Van Grieken R, X-ray spectrometry 28, 282 (1999). http://doi.org/10.1002/(SICI)1097-4539(199907/08)28:4<282::AID-XRS352>3.0.CO;2-H
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
DOI: 10.1002/(SICI)1097-4539(199907/08)28:4<282::AID-XRS352>3.0.CO;2-H
|
“Current trends in the literature on X-ray emission spectrometry”. Van Grieken R, Markowicz A, Veny P, X-ray spectrometry 20, 271 (1991). http://doi.org/10.1002/XRS.1300200605
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
DOI: 10.1002/XRS.1300200605
|
“EDXRS study of aerosol composition variations in air masses crossing the North Sea”. Injuk J, van Malderen H, Van Grieken R, Swietlicki E, Knox JM, Schofield R, X-ray spectrometry 22, 220 (1993). http://doi.org/10.1002/XRS.1300220410
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
DOI: 10.1002/XRS.1300220410
|
“Efficiency calibartion of energy-dispersive detectors for application in quantitative x- and γ-ray spectrometry”. Szalóki I, Szegedi S, Varga K, Braun M, Osán J, Van Grieken R, X-ray spectrometry 30, 49 (2001). http://doi.org/10.1002/XRS.467
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
DOI: 10.1002/XRS.467
|
“Energy-dispersive X-ray fluorescence analysis of geological materials in borax beads using Tertian's binary coefficient approach combined with internal standard addition”. Muia LM, Van Grieken R, X-ray spectrometry 20, 179 (1991)
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
|
“Energy-dispersive X-ray fluorescence in geochemical mapping”. Civici N, Van Grieken R, X-ray spectrometry 26, 147 (1997). http://doi.org/10.1002/(SICI)1097-4539(199707)26:4<147::AID-XRS193>3.0.CO;2-X
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
DOI: 10.1002/(SICI)1097-4539(199707)26:4<147::AID-XRS193>3.0.CO;2-X
|
“Evaluation of energy-dispersive x-ray spectra of low-Z elements from electron-probe microanalysis of individual particles”. Osán J, de Hoog J, van Espen P, Szalóki I, Ro C-U, Van Grieken R, X-ray spectrometry 30, 419 (2001). http://doi.org/10.1002/XRS.523
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.1002/XRS.523
|
“Grazing-exit electron probe x-ray microanalysis of light elements in particles”. Spolnik Z, Tsuji K, Van Grieken R, X-ray spectrometry 33, 16 (2004). http://doi.org/10.1002/XRS.656
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
DOI: 10.1002/XRS.656
|
“Individual particle characterization of Siberian aerosols by micro-PIXE and backscattering spectrometry”. van Malderen H, Hoornaert S, Injuk J, Przybylowicz WJ, Pineda CA, Prozesky VM, Van Grieken R, X-ray spectrometry 30, 320 (2001). http://doi.org/10.1002/XRS.505
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
DOI: 10.1002/XRS.505
|
“Literature trends in x-ray emission spectrometry in the period 1990-2000: a review”. Injuk J, Van Grieken R, X-ray spectrometry 32, 35 (2003). http://doi.org/10.1002/XRS.606
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
DOI: 10.1002/XRS.606
|
“Optimization of experimental conditions of thin-window EPMA for ligh-element analysis of individual environmental particles”. Szalóki I, Osán J, Worobiec A, de Hoog J, Van Grieken R, X-ray spectrometry 30, 143 (2001). http://doi.org/10.1002/XRS.473.ABS
Keywords: A1 Journal article; Laboratory Experimental Medicine and Pediatrics (LEMP); AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
DOI: 10.1002/XRS.473.ABS
|
“Performance of a new compact EDXRF spectrometer for aerosol analysis”. Samek L, Injuk J, van Espen P, Van Grieken R, X-ray spectrometry 31, 84 (2002). http://doi.org/10.1002/XRS.551
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.1002/XRS.551
|
“Progress in laboratory grazing emission X-ray fluorescence spectrometry”. Claes M, de Bokx P, Van Grieken R, X-ray spectrometry 28, 224 (1999). http://doi.org/10.1002/(SICI)1097-4539(199907/08)28:4<224::AID-XRS337>3.3.CO;2-W
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
DOI: 10.1002/(SICI)1097-4539(199907/08)28:4<224::AID-XRS337>3.3.CO;2-W
|
“M\alpha/L\alpha intensity ratios for Ta, W, Pt, Au, Pb and Bi for electron energies in the 11-40 keV range”. Trincavelli J, Montoro S, van Espen P, Van Grieken R, X-ray spectrometry 22, 372 (1993). http://doi.org/10.1002/XRS.1300220510
Abstract: Both energy- and wavelength-dispersive systems were used to obtain Malpha/Lalpha intensity ratios for Ta, W, Pt, Au, Pb and Bi at various overvoltages. A table of these ratios corrected for matrix absorption and detector efficiency is presented, in addition to an interpolatory function of Malpha/Lalpha generated ratios vs. overvoltage, for each element. In addition, three different ZAF correction models were used to predict both detected and generated ratios. Finally, experimental Mbeta/Malpha ratios measured at different overvoltages are presented for the six elements considered.
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.1002/XRS.1300220510
|
“Comparative material characterization of historical and industrial samples by using a compact micro-XRF spectrometer”. Bichlmeier S, Janssens K, Heckel J, Hoffmann P, Ortner HM, X-ray spectrometry 31, 87 (2002). http://doi.org/10.1002/XRS.563
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
Impact Factor: 1.298
Times cited: 12
DOI: 10.1002/XRS.563
|
“Semiempirical approach for standardless calibration in µ-XRF spectrometry using capillary lenses”. Padilla R, van Espen P, Abrahantes A, Janssens K, X-ray spectrometry 34, 19 (2005). http://doi.org/10.1002/XRS.781
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
Impact Factor: 1.298
Times cited: 23
DOI: 10.1002/XRS.781
|
“Determination of barium, lanthanum, cerium and neodymium in lateritic materials by various energy-dispersive X-ray fluorescence techniques and neutron activation analysis”. Labrecque JJ, Beusen JM, Van Grieken RE, X-ray spectrometry 15, 13 (1986). http://doi.org/10.1002/XRS.1300150105
Abstract: A comparison of four methods for the determination of barium, lanthanum, cerium and neodymium in lateritic materials from Brazil is presented. Three of the methods were based on x-ray fluorescence (XRF) spectroscopy: two by radioisotope excitation (Co-57 and Am-241) and one by secondary target XRF (a molybdenum target with a tungsten anode). The other method was based on neutron activation analysis employing both a Ge(Li) coaxial detector and a high-purity germanium detector. The results from these four methods were similar for lanthanum, cerium and neodymium, but for barium at low concentrations (<500 ppm) the neutron activation and the secondary target XRF methods were not suitable. Data on the precision and accuracy of these methods using a series of standard reference rocks are given. The advantages and limitations of each of these methods with respect to the analysis of lateritic materials are discussed.
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
DOI: 10.1002/XRS.1300150105
|
“Determination of sample thickness via scattered radiation in X-ray fluorescence spectrometry with filtered continuum excitation”. Araujo MF, van Espen P, Van Grieken R, X-ray spectrometry 19, 29 (1990). http://doi.org/10.1002/XRS.1300190107
Abstract: A semi-empirical approach is described for determining the mass per unit area of a sample being analysed. The method can be used to estimate the concentration of minor and trace elements in matrices containing a substantial amount of light elements. The procedure utilizes the coherently and incoherently scattered radiation induced in the sample by the filtered continuum radiation of a rhodium x-ray tube. The relationship between the intensity of the scattered radiation per unit mass and the average atomic number of the sample is established via calibration graphs, which can be applied for different x-ray tube voltages and for different primary beam filters. The overall procedure was validated by the analysis of several geological standards, deposited as thin slurries of unknown thickness either on Mylar foil or on Nuclepore filters.
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.1002/XRS.1300190107
|
“Editorial : award for best X-Ray Spectrometry referee during 2011-2012”. Van Grieken R, X-ray spectrometry 42, 3 (2013). http://doi.org/10.1002/XRS.2428
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
DOI: 10.1002/XRS.2428
|
“Heterogeneity effects in direct X-ray fluorescence analysis of hair”. Török S, Van Dyck P, Van Grieken R, X-ray spectrometry 13, 27 (1984). http://doi.org/10.1002/XRS.1300130106
Abstract: The methodology of direct hair analysis by energy-dispersive x-ray fluorescence was studied. The effect on the XRF result of having a non-homogeneous radial distribution of the analyte in a single hair strand and the macroscopic effects in a bundle of hairs were calculated to evaluate possible systematic errors. The detection limits were mapped as a function of the target thickness and surface fraction. It appeared that a 10 mg cm−2 sample thickness, i. e. a target with about four layers of hair strands, is recommended. The standard deviation of this simple direct analytical method is 619% for some important elements. Discrepancies with neutron activation analysis had a mean value of around 15%. About twelve elements can be determined simultaneously on a routine basis.
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
DOI: 10.1002/XRS.1300130106
|
“Heterogeneity effects in direct XRF analysis of traces of heavy metals preconcentrated on polyurethane foam sorbents”. Török S, Braun T, Van Dyck P, Van Grieken R, X-ray spectrometry 15, 7 (1986). http://doi.org/10.1002/XRS.1300150104
Abstract: Trace amounts of heavy metals were preconcentrated on discs of polyurethane (PU) foam loaded with ammonium diethyldithiocarbamate (DDTC), to increase the sensitivity of XRF. Since the diameter of the cavities in the open-cell PU foams reaches 30300 μm, considerable heterogeneity effects might occur, which could reduce the accuracy of the method. The possible systematic error introduced by considering the sample to be homogeneous is calculated using the Berry et al. model. The calculations show that the underestimation of the absorption correction factor when considering the sample as being homogeneous is less than 2% for high-Z elements when the sample thickness is at least 2 mm. The detection limits are also around the minima for this thickness.
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
DOI: 10.1002/XRS.1300150104
|
“Introducing four new members of the editorial board of X-ray spectrometry”. Van Grieken R, X-ray spectrometry 44, 1 (2015). http://doi.org/10.1002/XRS.2577
Keywords: Editorial; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
DOI: 10.1002/XRS.2577
|