Results 181 to 190 of about 2,426 (216)

Industrial Applications of pXRF

2022
Industrial applications of pXRF are increasing in reach, making use of updated detector and pulse processing capabilities. This chapter covers the most common industrial applications currently deployed with commercially available pXRF units. A metal application segment covers calibration approaches, grade identification, positive material ID and ...
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pXRF application in soil science

2022
Nowadays, when soil pollution poses a worrisome threat to humanity, the need for soil protection is very pronounced with increasing requirements for methods that can quickly and accurately detect pollutants in the soil, especially metals. Portable X-ray fluorescence (pXRF) imposes itself as method with real-time and simultaneous multi- (total) element ...
Perčin, Aleksandra, Kikić, Diana, Zgorelec, Željka   +2 more
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Tropical Soil Toposequence Characterization via pXRF Spectrometry

Soil Science Society of America Journal, 2019
Variability of elemental composition in a toposequence of quartzite‐derived soils in a tropical environment was evaluated via portable x‐ray fluorescence (pXRF) spectrometry. The toposequence featured different degrees of weathering and variable soil formation processes.
Nilton Curi, David Weindorf, Sérgio Henrique Godinho Silva   +2 more
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pXRF Analysis of Heritage Glass

2022
In this chapter, I consider the potential for using pXRF for the analysis of heritage (archaeological and historical) glasses. In the first section of this chapter, I discuss protocols, limitations and weaknesses, best practices, and the possibilities of pXRF analysis of glass. I follow this with a discussion of calibration issues.
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Surface reflectance and pXRF for assessing soil weathering indexes

Journal of South American Earth Sciences, 2022
The use of satellite images is a widespread technique for estimating soil attributes. However, what is the potential of satellite data on the prediction of soil weathering indices? How much in their performance is affected by spectral mixing and data resolution? There is no consensus for answering these questions.
Souza, Arnaldo Barros e, Di Raimo, Luis Augusto Di Loreto, Mello, Danilo César de, Guimarães, Clecia Cristina B., Urbina-Salazar, Diego F., Silva, Sérgio Henrique Godinho, Curi, Nilton, Demattê, José A. M.   +7 more
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Characterization of New Zealand obsidian using PXRF

Journal of Archaeological Science, 2011
Abstract New Zealand has some of the most active areas of rhyolitic volcanism in the world and this has produced numerous obsidian sources in the northern half of the North Island. In total archaeologists have recognized 27 named locations from which obsidian can be obtained scattered across 4 geological source regions.
Sheppard, Peter J, Irwin, Geoff J, Lin, Sam C, Mccaffrey, Cameron P   +3 more
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Sourcing without sources: Measuring ceramic variability with pXRF

Journal of Archaeological Science: Reports, 2018
Abstract Sourcing studies usually focus on interpreting movement from source to place of deposition. These studies typically use materials like obsidian that lend themselves to chemical characterization. Less attention has been paid to sourcing materials that are also abundant in the archaeological record such as ceramics.
Joshua J. Emmitt, Andrew J. McAlister, Rebecca S. Phillipps, Simon J. Holdaway   +3 more
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True versus forged in the cultural heritage materials: the role of PXRF analysis

X-Ray Spectrometry, 2013
Forensic and cultural heritage scientific analyses have several similarities. Indeed, they both deal with unique, ‘precious’ and often quantitatively very limited objects, which have to be preserved as much as possible. Whenever analytical examination is needed, similar requirements have to be met.
GALLI, ANNA, Bonizzoni, L.
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Advancing the Application of pXRF for Biological Samples

Abstract Point 1: Portable x-ray fluorescent (pXRF) technology provides significant opportunities for rapid, non-destructive data collection in a range of fields of study. However, there are sources of variation and sample assumptions that may influence the data obtained, particularly in biological samples.
K.J. Brandis, R. Francis, K.J.A. Zawada, C.D. Hasselerharm, D. Ramp   +4 more
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pXRF analysis of Cypriot gold coins of the Classical Period.

2014
33
Markou, E., Charalambous, Andreas, Kassianidou, Vasiliki, Markou, E., Charalambous, Andreas, Kassianidou, Vasiliki   +5 more
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