2021
DOI: 10.3103/s0027131421020048
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μXRF Analysis of XVIII Century Copper Coin: Patina Investigation and “Bronze Disease” Detection

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Cited by 3 publications
(5 citation statements)
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“…In this map, the organic finishing layers are als underlined and give a different result depending on their composition and thickn allows us to discriminate different surface layers on the same color/part of a paint thus, to speculate about the presence of restorations. In this way, MA-XRF prov again to be competitive against imaging analyses, and can be considered a useful t time a surface light element layer must be evaluated, as well as for detecting the p of patinae in metallic historical objects [70][71][72]. Indeed, considering emissions at s energies, and thanks to the high performance of the IRIS X-ray detector, it is even highlight dark stains in mockups with oil as a binder due to oil spreading in the p From the ROIs reported in Figure 7, the integrals were computed, and then, f ratio of the integrals of the two emission lines, the thickness was calculated with verted formula obtained from the calibration procedure, shown in Equation (3).…”
Section: Thickness Maps Of Mockup Layersmentioning
confidence: 99%
See 1 more Smart Citation
“…In this map, the organic finishing layers are als underlined and give a different result depending on their composition and thickn allows us to discriminate different surface layers on the same color/part of a paint thus, to speculate about the presence of restorations. In this way, MA-XRF prov again to be competitive against imaging analyses, and can be considered a useful t time a surface light element layer must be evaluated, as well as for detecting the p of patinae in metallic historical objects [70][71][72]. Indeed, considering emissions at s energies, and thanks to the high performance of the IRIS X-ray detector, it is even highlight dark stains in mockups with oil as a binder due to oil spreading in the p From the ROIs reported in Figure 7, the integrals were computed, and then, f ratio of the integrals of the two emission lines, the thickness was calculated with verted formula obtained from the calibration procedure, shown in Equation (3).…”
Section: Thickness Maps Of Mockup Layersmentioning
confidence: 99%
“…This allows us to discriminate different surface layers on the same color/part of a painting, and thus, to speculate about the presence of restorations. In this way, MA-XRF proves once again to be competitive against imaging analyses, and can be considered a useful tool each time a surface light element layer must be evaluated, as well as for detecting the presence of patinae in metallic historical objects [70][71][72]. Indeed, considering emissions at such low energies, and thanks to the high performance of the IRIS X-ray detector, it is even able to highlight dark stains in mockups with oil as a binder due to oil spreading in the primer.…”
Section: ∑ ( )mentioning
confidence: 99%
“…Bronze disease is one of the major issues in bronze artwork conservation. It occurs as a cyclic phenomenon, which can lead to the pitting of the surface and the severe impairment of artifact properties until its destruction [1][2][3][4][5][6]. In the presence of chloride ions and high relative humidity [7], the copper may react, forming an inner layer of cuprous chloride (CuCl, nantokite), which is the first step toward bronze disease [1,8].…”
Section: Introductionmentioning
confidence: 99%
“…The conversion of nantokite to trihydroxychlorides, due to their larger volume, induces mechanical stress and the consequent cracking or fragmentation of the surface [11]. Therefore, the timely detection of even small amounts of corrosion products is crucial [3].…”
Section: Introductionmentioning
confidence: 99%
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