2018
DOI: 10.1016/j.cretres.2018.04.010
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An integrated pelagic carbonate multi-proxy study using portable X-ray fluorescence (pXRF): Maastrichtian strata from the Bottaccione Gorge, Gubbio, Italy

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Cited by 16 publications
(9 citation statements)
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“…With this technical setting, we could not reliably measure Si, as in the "Soil Fundamental Parameters" method the SiO2 mass fraction is used to sum the total weight to 100% (e.g. explained in more detail in Sinnesael et al, 2018). The fundamental parameters method makes use of the theoretical relationship between X-ray fluorescence and material composition as determined by Sherman (1956).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…With this technical setting, we could not reliably measure Si, as in the "Soil Fundamental Parameters" method the SiO2 mass fraction is used to sum the total weight to 100% (e.g. explained in more detail in Sinnesael et al, 2018). The fundamental parameters method makes use of the theoretical relationship between X-ray fluorescence and material composition as determined by Sherman (1956).…”
Section: Methodsmentioning
confidence: 99%
“…The pXRF measurements were not calibrated using external reference materials. As such it is more relevant to consider relative variations in the elemental concentrations data than interpreting absolute concentrations (Sinnesael et al, 2018). As a general principle the pXRF is also less suitable to measure very light (<Al) or heavy elements (>Ba); or elements that only occur in trace amountsalso depending on the instrument used (Beckhoff et al, 2006).…”
Section: Methodsmentioning
confidence: 99%
“…Recent studies have commented on the use of portable XRF (pXRF) in sedimentary rock analyses, particularly for linking elemental changes to stratigraphic and paleoclimatic observations, and the calibration of pXRF instruments to other elemental analyzers (Dahl et al, 2013;de Winter et al, 2017;Ibañez-Insa et al, 2017;Kessler & Nagarajan, 2012;Lenniger et al, 2014;Mejia-Pina et al, 2016;Quye-Sawyer et al, 2015;Rowe et al, 2012;Thibault et al, 2018). The ability to measure elemental concentrations, and sensitivity of modern pXRF instruments, provides a clear rationale for employing pXRF analysis for cyclostratigraphy (e.g., Ruhl et al, 2016;Sinnesael et al, 2018;Thibault et al, 2018). The merits of using pXRF analysis for cyclostratigraphy have been discussed by Sinnesael et al (2018).…”
Section: 1029/2018gc007582mentioning
confidence: 99%
“…The ability to measure elemental concentrations, and sensitivity of modern pXRF instruments, provides a clear rationale for employing pXRF analysis for cyclostratigraphy (e.g., Ruhl et al, ; Sinnesael et al, ; Thibault et al, ). The merits of using pXRF analysis for cyclostratigraphy have been discussed by Sinnesael et al (). To date, however, the efficacy of pXRF as a cyclostratigraphic tool has not been quantitatively or statistically compared to established techniques.…”
Section: Introductionmentioning
confidence: 99%
“…These technological advances were boosted by geological exploration and mining prospection (e.g., Fabre, 2020), environmental studies (e.g., Turner et al, 2018), and/or planetary rover missions (Edwards, 2018), along with many other applications. Specifically, in archaeometry, more and more non-destructive tools in spectroscopy and spectrometry are used to constrain the mineralogy, the chemical composition, and the physical properties of archeological material, by e.g., portable magnetic susceptibility (pMS; e.g., Williams-Thorpe and Potts, 2002;Szakmány et al, 2011), portable XRF (Oyedotun, 2018;Müskens et al, 2018;Sinnesael et al, 2018), portable Gamma-Ray spectrometry (pGRS; Puccini et al, 2014), handheld Laser-Induced Breakdown Spectroscopy (HH-LIBS; Senesi et al, 2018), portable Raman spectroscopy (e.g., Bersani and Madariaga, 2012) or spectrophotometry (Rogerio-Candelera, 2016;Boulvain et al, 2020). Combining these tools and the interpretation opens the door to high accuracy determination, discrimination, and sourcing of archeological materials (e.g., Liritzis and Zacharias, 2011;Papakosta et al, 2020).…”
Section: Introductionmentioning
confidence: 99%