“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
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“Study of the uniformity of aerosol filters by scanning MA-XRF”. Cabal A, Legrand S, Van den Bril B, Tote K, Janssens K, van Espen P, X-ray spectrometry
T2 –, 17th European Conference on X-Ray Spectrometry (EXRS), JUN 19-24, 2016, Univ Gothenburg, Univ Gothenburg, Gothenburg, SWEDEN 46, 461 (2017). http://doi.org/10.1002/XRS.2767
Abstract: Energy-dispersive X-ray fluorescence (XRF) is an attractive analytical method to determine the level of air pollution by heavy metals. The concentration of the filter in ng/cm(2) is obtained by direct comparison of the net characteristic line intensity of an element with that of a thin film standard. As the sampled area on the filter and the area of the standard are larger than the area analysed by the instrument, the distribution of the elements on the surface of both samples and standards have to be sufficiently uniform. If this is not the case, biased concentration estimates are obtained. Two scanning macro-XRF setups with a beam diameter of similar to 0.5 mm were used to investigate the distribution of elements in (1) commercially available (Micromatter) standards, (2) in-house quartz filter standards obtained with an aerosol generator and (3) particulatematter (PM10) collected on quartz filters by a Leckel SEQ 47/50 sampler. The uniformity of the Micromatter standards was better than 2%. At least some in-house standards showed a concave distribution with less material at the edges. The maximum bias introduced by this is less than 5%. Because of the limited sensitivity of scanning XRF compared with conventional XRF, the distribution of only a few common elements like Ca and Fe could be determined reliably in aerosol filters. The distribution of some heavy elements could only be measured in filters sampled in polluted regions. In general, the loading of particulate matter over the filters was uniform. Copyright (C) 2017 John Wiley & Sons, Ltd.
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
Impact Factor: 1.298
Times cited: 4
DOI: 10.1002/XRS.2767
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“Unlocking the full potential of voltammetric data analysis : a novel peak recognition approach for (bio)analytical applications”. Van Echelpoel R, de Jong M, Daems D, van Espen P, De Wael K, Talanta 233, 122605 (2021). http://doi.org/10.1016/J.TALANTA.2021.122605
Abstract: Bridging the gap between complex signal data output and clear interpretation by non-expert end-users is a major challenge many scientists face when converting their scientific technology into a real-life application. Currently, pattern recognition algorithms are the most frequently encountered signal data interpretation algorithms to close this gap, not in the least because of their straight-forward implementation via convenient software packages. Paradoxically, just because their implementation is so straight-forward, it becomes cumbersome to integrate the expert's domain-specific knowledge. In this work, a novel signal data interpretation approach is presented that uses this domain-specific knowledge as its fundament, thereby fully exploiting the unique expertise of the scientist. The new approach applies data preprocessing in an innovative way that transcends its usual purpose and is easy to translate into a software application. Multiple case studies illustrate the straight-forward application of the novel approach. Ultimately, the approach is highly suited for integration in various (bio)analytical applications that require interpretation of signal data.
Keywords: A1 Journal article; Engineering sciences. Technology; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
Impact Factor: 4.162
DOI: 10.1016/J.TALANTA.2021.122605
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“Modeling the charge deposition in quartz grains during natural irradiation and its influence on the optically stimulated luminescence signal”. Baly L, Quesada I, Murray AS, Martin G, van Espen P, Arteche R, Jain M, Radiation Measurements 142, 106564 (2021). http://doi.org/10.1016/J.RADMEAS.2021.106564
Abstract: The rate of charge deposition in quartz grains irradiated in natural conditions is computed by radiation transport modeling. Quartz luminescence models are modified with the addition of the resulting charge deposition term, and the influence of this process on the optically stimulated luminescence (OSL) signal is analyzed. The results indicate that the charge deposition occurring in the quartz grain during the time of residence within rock could lead to the depletion of trapped holes in the recombination centres. For the two different quartz models investigated here, complete depletion is expected to occur for rock ages between 500 Ma and 1100 Ma. It is predicted that for sedimentary quartz derived from such rocks, the OSL signal is dominated by the slow component. It was also found that the shape and saturation level of the natural sensitivity-corrected dose response curve (DRC) of quartz is affected by the charge deposition; specifically, a linear reduction of the saturation level with the age of the rock is observed.
Keywords: A1 Journal article; Engineering sciences. Technology; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
Impact Factor: 1.442
DOI: 10.1016/J.RADMEAS.2021.106564
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“Quantitative analysis of 16-17th century archaeological glass vessels using PLS regression of EPXMA and μ-XRF data”. Lemberge P, Deraedt I, Janssens K, van Espen P, Journal of chemometrics 14, 751 (2000). http://doi.org/10.1002/1099-128X(200009/12)14:5/6<751::AID-CEM622>3.0.CO;2-D
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
Impact Factor: 1.884
DOI: 10.1002/1099-128X(200009/12)14:5/6<751::AID-CEM622>3.0.CO;2-D
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“Concentration profiles of metal contaminants in fluvial sediments of a rural-urban drainage basin in Tanzania”. Hellar-Kihampa H, Potgieter-Vermaak S, De Wael K, Lugwisha E, van Espen P, Van Grieken R, International journal of environmental analytical chemistry 94, 77 (2014). http://doi.org/10.1080/03067319.2013.791976
Abstract: This study investigated concentration profiles of trace, rare earth and platinum group metals in fluvial sediments from the Pangani river basin (43,650 km2), one of the largest river basins in Tanzania, to assess its environmental quality. Sediment samples were collected in two distinct seasons from 12 representative sites of diverse land-use practices and characterised by ICP-MS after optimised microwave digestion. Ecological risks were assessed by evaluation of pollution index and comparison with legislated sediment quality guidelines (SQG). The results revealed contamination by some trace metals (e.g. Pb, V, Cu, Cr, Ni, Cd, As, Co, Mn and Zn) in concentrations ranging from 0.7 to 2940 mg kg−1, and four rare earth elements (Y, Ce, Nd, Yb) in concentrations ranging from 0.9 (Yb) to 500 mg kg−1 dry weight (Ce), which significantly exceeded the estimated background values at some stations. Palladium was the only platinum group element that was detected in quantifiable concentrations (0.33.5 mg kg−1). Concentrations of some trace metals exceeded the SQGs at some localised areas. Principal component analysis and multivariate correlations indicated geochemical characteristics of the area as the major control of metal concentrations and spatial variability. Organic matter and clay contents also played a significant role in metal distributions. Assessment of land-use practices upstream of the sampling locations was used to trace potential anthropogenic sources of metal enrichments, where highest levels were found in areas close to urban centres and agricultural activities. The study provides baseline data for future monitoring programs, and highlights the need for more comprehensive analysis involving a wider spatio-temporal scale and ecotoxicological risk assessment.
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
Impact Factor: 1.208
Times cited: 5
DOI: 10.1080/03067319.2013.791976
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“A new electrostatic transfer line for improved transmission in Fourier transform laser microprobe mass spectrometry with external ion source”. van Vaeck L, van Espen P, Gijbels R, Baykut G, Laukien FH, European mass spectrometry 6, 277 (2000). http://doi.org/10.1255/ejms.342
Keywords: A1 Journal article; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT); Chemometrics (Mitac 3)
Times cited: 10
DOI: 10.1255/ejms.342
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“Large-area elemental imaging reveals Van Eyck's original paint layers on the Ghent altarpiece (1432), rescoping its conservation treatment”. van der Snickt G, Dubois H, Sanyova J, Legrand S, Coudray A, Glaude C, Postec M, van Espen P, Janssens K, Angewandte Chemie: international edition in English 56, 4797 (2017). http://doi.org/10.1002/ANIE.201700707
Abstract: A combination of large-scale and micro-scale elemental imaging, yielding elemental distribution maps obtained by, respectively non-invasive macroscopic X-ray fluorescence (MA-XRF) and by secondary electron microscopy/energy dispersive X-ray analysis (SEM-EDX) and synchrotron radiation-based micro-XRF (SR m-XRF) imaging was employed to reorient and optimize the conservation strategy of van Eyck's renowned Ghent Altarpiece. By exploiting the penetrative properties of X-rays together with the elemental specificity offered by XRF, it was possible to visualize the original paint layers by van Eyck hidden below the overpainted surface and to simultaneously assess their condition. The distribution of the high-energy Pb-L and Hg-L emission lines revealed the exact location of hidden paint losses, while Fe-K maps demonstrated how and where these lacunae were filled-up using an iron-containing material. The chemical maps nourished the scholarly debate on the overpaint removal with objective, chemical arguments, leading to the decision to remove all skillfully applied overpaints, hitherto interpreted as work by van Eyck. MA-XRF was also employed for monitoring the removal of the overpaint during the treatment phase. To gather complementary information on the in-depth layer build-up, SEM-EDX and SR mu-XRF imaging was used on paint cross sections to record microscale elemental maps.
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
Impact Factor: 11.994
Times cited: 11
DOI: 10.1002/ANIE.201700707
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“Microanalytical characterization of surface decoration in Majolica pottery”. Padilla R, Schalm O, Janssens K, Arrazcaeta R, van Espen P, Analytica chimica acta 535, 201 (2005). http://doi.org/10.1016/J.ACA.2004.11.082
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
Impact Factor: 4.95
Times cited: 20
DOI: 10.1016/J.ACA.2004.11.082
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“Automated particle analysis of populations of silver halide microcrystals by electron probe microanalysis under cryogenic conditions”. Gregory CL, Nullens HA, Gijbels RH, van Espen PJ, Geuens I, de Keyzer R, Analytical chemistry 70, 2551 (1998). http://doi.org/10.1021/ac9710644
Keywords: A1 Journal article; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT); Chemometrics (Mitac 3)
Impact Factor: 6.32
Times cited: 12
DOI: 10.1021/ac9710644
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“Three-dimensional chemical characterization of complex silver halide microcrystals by scanning ion microprobe mass analysis”. Verlinden G, Janssens G, Gijbels R, van Espen P, Geuens I, Analytical chemistry 69, 3773 (1997). http://doi.org/10.1021/ac970010r
Keywords: A1 Journal article; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT); Chemometrics (Mitac 3)
Impact Factor: 6.32
Times cited: 6
DOI: 10.1021/ac970010r
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“Euroanalysis 14: the European Conference on Analytical Chemistry”. Janssens K, van Espen P, Van 't dack L, Analytical and bioanalytical chemistry 391, 1107 (2008). http://doi.org/10.1007/S00216-008-2114-9
Keywords: Editorial; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
Impact Factor: 3.431
DOI: 10.1007/S00216-008-2114-9
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“Accurate evaluation of \mu-PIXE and \mu-XRF spectral data through iterative least squares fitting”. Janssens K, Vekemans B, Adams F, van Espen P, Mutsaers P, Nuclear instruments and methods in physics research: B: beam interactions with materials and atoms
T2 –, 7th International Conference on Particle Induced X-ray Emission and Its Analytical Applications, MAY 26-30, 1995, Abano Terme, Italy 109, 179 (1996). http://doi.org/10.1016/0168-583X(95)01211-7
Abstract: The integration of the nonlinear least squares X-ray spectrum evaluation progam AXIL. into a mu-PIXE and a mu-XRF setup is discussed. The use of the software when procesing data sets derived from biological and geological samples is described.
Keywords: A1 Journal article; Engineering sciences. Technology; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.1016/0168-583X(95)01211-7
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Gijbels R, van Grieken R, Blommaert W, Van 't dack L, van Espen P, Nullens H, Saelens R (1983) Application of analytical methods for trace elements in geothermal waters : part 2 : Plombières, Bains-les-Bains, Bourbonne (Vosges). S.l
Keywords: MA3 Book as author; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT); AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
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“The primary energy dependence of backscattered electron images up to 100 keV”. Geuens I, Nys B, Naudts J, Gijbels R, Jacob W, van Espen P, Scanning microscopy 5, 339 (1991)
Keywords: A1 Journal article; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT); Chemometrics (Mitac 3)
Times cited: 3
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“Quantitative surface analysis of silver halide microcrystals using scanning ion microprobe and scanning Auger microprobe”. Janssens G, Geuens I, de Keyzer R, van Espen P, Gijbels R, Hubin A, Terryn H, Vereecken J Wiley, Chichester, page 161 (1996).
Keywords: H3 Book chapter; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT); Chemometrics (Mitac 3)
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“Study of quasi-fractal many-particle-systems and percolation networks by zero-loss spectroscopic imaging, electron energy-loss spectroscopy and digital image analysis”. Oleshko V, Kindratenko V, Gijbels R, van Espen P, Jacob W, Mikrochimica acta: supplementum 13, 443 (1996)
Abstract: Submicron colloidal Ag particles and nano-sized filaments forming a statistical percolation network during ''in situ'' development of double structure tabular microcrystals of AgRr(I) emulsions have been studied by electron energy-loss spectroscopy and zero-loss electron spectroscopic imaging (EELS/ZLESI). Image analysis has shown that random quasi-fractal clusters were formed in the colloid. ZLESI has been applied to characterise the morphology and defect structure of aggregated particles and filaments. Their energy-loss spectra revealed plasmon excitations and interband 4d electron transitions between 4-32 eV energy-loss. To study the cluster structure and its relation to the physical properties, fractal analysis including estimations of cluster fractal dimensions and of density autocorrelation functions has been performed. Mechanisms of fractal aggregation based on known models of diffusion limited aggregation, cluster-cluster aggregation and percolation are discussed.
Keywords: A1 Journal article; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT); Chemometrics (Mitac 3)
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“A general-purpose interface between fortran and the low-level functions of the ibm-pc”. Janssens K, van Espen P, Trends in analytical chemistry 7, 128 (1988). http://doi.org/10.1016/0165-9936(88)87009-2
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.1016/0165-9936(88)87009-2
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“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
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“AXIL-PC, software for the analysis of complex-x-ray spectra”. van Espen P, Janssens K, Nobels J, Chemometrics and intelligent laboratory systems 1, 109 (1986). http://doi.org/10.1016/0169-7439(86)80031-4
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.1016/0169-7439(86)80031-4
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“The elemental composition of airborne particulate matter in the Atacama desert, Chile”. Rojas CM, Figueroa L, Janssens KH, Van Espen PE, Adams FC, Van Grieken RE, The science of the total environment 91, 251 (1990). http://doi.org/10.1016/0048-9697(90)90302-B
Abstract: Air particulate samples were collected at Chapiquiña near Arica (Chile) with a six-stage cascade impactor for about 17-day periods during a 31 month interval. Sixteen elements were determined by energy dispersive X-ray fluorescence analysis, and the elemental concentrations were subjected to principal factor analysis. The variability with time of the coarse particles was described by two factors both related to soil dispersion, whereas the fine particle variations could be explained by a third factor related to marine influence. Enrichment factors were compared with those obtained in other remote continental areas, in particular those of air particulate matter sampled at Chacaltaya, Bolivia. Results point to a negligible anthropogenic influence.
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
DOI: 10.1016/0048-9697(90)90302-B
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“Evaluation of energy-dispersive x-ray-spectra with the aid of expert systems”. Janssens K, van Espen P, Analytica chimica acta 191, 169 (1986). http://doi.org/10.1016/S0003-2670(00)86306-0
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.1016/S0003-2670(00)86306-0
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“Implementation of an expert system for the qualitative interpretation of x-ray-fluorescence spectra”. Janssens K, van Espen P, Analytica chimica acta 184, 117 (1986). http://doi.org/10.1016/S0003-2670(00)86475-2
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.1016/S0003-2670(00)86475-2
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“Increased accuracy in the automated interpretation of large epma data sets by the use of an expert system”. Janssens K, Vanborm W, van Espen P, Journal of research of the National Bureau of Standards (1934) 93, 260 (1988). http://doi.org/10.6028/JRES.093.037
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.6028/JRES.093.037
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“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
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“Novel quantitative procedures for in-situ X-ray fluorescence analysis”. Van Grieken R, Janssens K, van Espen P, Injuk J, Padilla R, Vittiglio G, Potgieter JH page 45 (2005).
Keywords: H3 Book chapter; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
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“Novel quantitative procedures for in-situ X-ray fluorescence analysis”. Injuk J, Janssens K, van Espen P, Van Grieken R, (2001)
Keywords: P3 Proceeding; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
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“PC-MCA : a software package for the acquisition and processing of spectral data”. Janssens K, Nobels J, van Espen P, Chemometrics and intelligent laboratory systems 3, 335 (1988). http://doi.org/10.1016/0169-7439(88)80033-9
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.1016/0169-7439(88)80033-9
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“Spectrum evaluation”. van Espen P, Janssens K (1992).
Keywords: H3 Book chapter; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
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“The development process of an expert system for the automated interpretation of large epma data sets”. Janssens K, Dorrine W, van Espen P, Chemometrics and intelligent laboratory systems 4, 147 (1988). http://doi.org/10.1016/0169-7439(88)80086-8
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.1016/0169-7439(88)80086-8
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