|
“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
|
|
|
“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
|
|
|
“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
|
|
|
“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
|
|
|
“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
|
|
|
“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
|
|
|
“Non-invasive and non-destructive examination of artists’ pigments, paints and paintings by means of X-ray imaging methods”. Vanmeert F, De Meyer S, Gestels A, Clerici EA, Deleu N, Legrand S, Van Espen P, Van der Snickt G, Alfeld M, Dik J, Monico L, De Nolf W, Cotte M, Gonzalez V, Saverwyns S, Depuydt-Elbaum L, Janssens K page 317 (2022).
Abstract: Recent studies in which X-ray beams of (sub)micrometre to millimetre dimensions have been used for non-destructive analysis and characterization of pigments, minute paint samples and/or entire paintings from fifteenth to twentieth century artists are discussed. The overview presented encompasses the use of laboratory and synchrotron radiation-based instrumentation and deals with the use of several variants of X-ray fluorescence (XRF) as a method of elemental analysis and imaging as well as with the combined use with X-ray diffraction (XRD). Microscopic XRF (μ-XRF) is a variant of the XRF method able to visualize the elemental distribution of key elements, mostly metals, on the scale from 1 μm to 100 μm present inside multi-layered micro samples taken from paintings. In the context of the characterization of artists’ pigments subjected to natural degradation, in many cases the use of methods limited to elemental analysis or imaging does not suffice to elucidate the chemical transformations that have taken place. However, at synchrotron facilities, combinations of μ-XRF with related methods such as μ-XAS (microscopic X-ray absorption spectroscopy) and μ-XRD have proven themselves to be very suitable for such studies. Since microscopic investigation of a relatively limited number of minute paint samples may not yield representative information about the complete artefact they were taken from, several methods for macroscopic, non-invasive imaging have recently been developed. Combined macroscopic XRF/XRD scanning is able to provide a fairly complete overview of the inorganic pigments employed to create a work of art, to answer questions about ongoing degradation phenomena and about its authenticity. As such these newly developed non-invasive and highly specific imaging methods are of interest for many cultural heritage stakeholders.
Keywords: H1 Book chapter; Art; Antwerp Cultural Heritage Sciences (ARCHES); Antwerp X-ray Imaging and Spectroscopy (AXIS)
DOI: 10.1007/978-3-030-86865-9_11
|
|
|
“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
|
|
|
“Morphology and fractal dimension of soot and carbon black aggregates determined by image analysis”. Smekens A, Vervoort M, Pauwels J, Berghmans P, van Espen P, Van Grieken R, (1998)
Keywords: P3 Proceeding; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
|
|
|
“Spectrum evaluation”. van Espen P, Janssens K (1992).
Keywords: H3 Book chapter; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
|
|
|
“Size-differentiated composition of aerosols in Khartoum, Sudan”. Eltayeb MAH, van Espen PJ, Cafmeyer J, Van Grieken RE, Maenhaut W, The science of the total environment 120, 281 (1992). http://doi.org/10.1016/0048-9697(92)90062-W
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.1016/0048-9697(92)90062-W
|
|
|
“Prediction of Mα/L&alpha, intensity ratios and the use in the spectra evaluation”. Trincavelli J, Montoro S, Van Grieken R, van Espen P, (1992)
Keywords: P3 Proceeding; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
|
|
|
“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
|
|
|
“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
|
|
|
“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
|
|
|
“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)
|
|
|
“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
|
|
|
“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
|
|
|
“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
|
|
|
“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)
|
|
|
“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
|
|
|
“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
|
|
|
“Studying aerosol samples by non-linear mapping of electron probe microanalysis data”. Treiger B, van Malderen H, Bondarenko I, van Espen P, Van Grieken R, Analytica chimica acta 284, 119 (1993). http://doi.org/10.1016/0003-2670(93)80014-C
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.1016/0003-2670(93)80014-C
|
|
|
“Characterization of individual soot aggregates from different sources using image analysis”. Smekens A, Godoi RHM, Vervoort M, van Espen P, Potgieter-Vermaak SS, Van Grieken R, Journal of atmospheric chemistry 56, 211 (2007). http://doi.org/10.1007/S10874-006-9050-X
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.1007/S10874-006-9050-X
|
|
|
“XRS activities at the Micro &, Trace Analysis Centre (MiTAC), University of Antwerp, Belgium”. Padilla R, Janssens K, van Espen P, Van Grieken R, IAEA XRF newsletter 12, 13 (2006)
Keywords: A3 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
|
|
|
“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
|
|
|
“Determination of fluorine in uranium oxyfluoride particles as an indicator of particle age”. Kips R, Pidduck AJ, Houlton MR, Leenaers A, Mace JD, Marie O, Pointurier F, Stefaniak EA, Taylor PDP, van den Berghe S, van Espen P, Van Grieken R, Wellum R, Spectrochimica acta: part B : atomic spectroscopy 64, 199 (2009). http://doi.org/10.1016/J.SAB.2008.12.001
Abstract: As swipe samples from enrichment activities typically contain uranium particles with a detectable amount of fluorine, the question was raised whether the analysis of fluorine in particles could complement the information on the uranium isotope ratios. For this, uranium oxyfluoride particles were prepared from the controlled hydrolysis of uranium hexafluoride (UF6). The relative amount of fluorine was characterized by scanning electron microscopy combined with energy-dispersive X-ray spectrometry (SEM-EDX), as well as ion-microprobe secondary ion mass spectrometry (IM-SIMS). Of particular interest was the assessment of the reduction of the amount of fluorine over time, and after exposure to UV-light and high temperatures. Micro-Raman spectrometry (MRS) was applied to look for differences in molecular structure between these various sample types. Both SEM-EDX and IM-SIMS showed a general reduction of the fluorine-to-uranium ratio after 12 years of storage. The exposure to UV-light and high temperatures was found to have accelerated the loss of fluorine. A distinct peak at 865 cm− 1 Raman shift was detected for the majority of particles analyzed by MRS. For the particles that were heat-treated, the Raman spectra were similar to the spectrum of U3O8. Although often large variations were observed between particles from the same sample, the three particle measurement techniques (IM-SIMS, SEM-EDX and MRS) showed some consistent trends. They therefore appear promising in terms of the ability to place bounds on particle age, as well as shedding light on the complex processes involved in UO2F2 particle ageing.
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.1016/J.SAB.2008.12.001
|
|
|
“Monte Carlo simulation of X-ray spectra from low energy electrons using optical data”. Roet D, van Espen P, Nuclear instruments and methods in physics research: B: beam interactions with materials and atoms 268, 2794 (2010). http://doi.org/10.1016/J.NIMB.2010.07.004
Abstract: An approach using optical data to simulate both the bremsstrahlung continuum and characteristic K and L X-ray lines generated by low energy electrons (cfr. electron microscopy) in solids is discussed in this paper. The necessary analytical expressions together with the data to calculate the relevant cross sections for elastic and inelastic interactions at these energies along with variance reduction techniques are given. The results of the Monte Carlo simulation are compared to experimental data measured with a JEOL 6300 electron microscope.
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation)
DOI: 10.1016/J.NIMB.2010.07.004
|
|
|
“Classification of coal mine dust particles through fuzzy clustering of their energy-dispersive electron microprobe X-ray spectra”. Bondarenko I, van Espen P, Treiger B, Van Grieken R, Adams F, Microbeam analysis 3, 33 (1994)
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
|
|
|
“Classification of mineral particles by nonlinear mapping of electron microprobe energy-dispersive X-ray spectra”. Treiger B, Bondarenko I, van Espen P, Van Grieken R, Adams F, The analyst 119, 971 (1994). http://doi.org/10.1039/AN9941900971
Keywords: A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
DOI: 10.1039/AN9941900971
|
|