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“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
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“Sulfur and heavy metals over the Atlantic Ocean : comparison with other marine data”. Maenhaut W, Selen A, van Espen P, Van Grieken R, Winchester JW, (1980)
Keywords: P3 Proceeding; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Chemometrics (Mitac 3)
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“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
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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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“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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“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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“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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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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“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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“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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