2018
DOI: 10.1002/xrs.2979
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Characterization of the mistura alloy used for Venetian sesino coins: 16th century

Abstract: The information provided by material investigations on ancient coins is interesting in many respects, as concerns the archaeological and historical research.In this study a set of Venetian sesino coins, minted over a period ranging from 1554 until 1605, have been investigated in order to shed light on some aspects of the so-called mistura (mixture) alloy. The widespread diffusion of these relatively low-value coins of the Venetian Republic, commonly used in commercial transactions in the second half of 16th ce… Show more

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Cited by 4 publications
(3 citation statements)
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References 38 publications
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“…For ancient silver alloy coins, the presence of thick silver-enriched surface layers [26,65] is quite common. In this case, XRF analysis may overestimate the silver content as it is unable to analyse the inner core, and therefore, no accurate quantification of fineness (precious metal) can be obtained for debased coins.…”
Section: Ratio Of Characteristic Lines Of Ag and Cumentioning
confidence: 99%
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“…For ancient silver alloy coins, the presence of thick silver-enriched surface layers [26,65] is quite common. In this case, XRF analysis may overestimate the silver content as it is unable to analyse the inner core, and therefore, no accurate quantification of fineness (precious metal) can be obtained for debased coins.…”
Section: Ratio Of Characteristic Lines Of Ag and Cumentioning
confidence: 99%
“…The XRF technique also allows the determination of the concentration, depth distribution and trace elements, which are useful for quantifying many features of an object [15,16]. In particular, it is also widely used in the study of ancient coins [17][18][19][20][21][22][23][24][25][26][27][28][29]. As part of a project to study the ancient coins in the collection of the Museo Provinciale Campano (Capua, Italy), a series of ancient coins (incuse) has already been studied using this technique, as well as with numismatic analysis [3,30].…”
Section: Introductionmentioning
confidence: 99%
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