2018
DOI: 10.1038/s41598-018-24474-0
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Quantitative assessment of Pb sources in isotopic mixtures using a Bayesian mixing model

Abstract: Lead (Pb) isotopes provide valuable insights into the origin of Pb within a sample, typically allowing for reliable fingerprinting of their source. This is useful for a variety of applications, from tracing sources of pollution-related Pb, to the origins of Pb in archaeological artefacts. However, current approaches investigate source proportions via graphical means, or simple mixing models. As such, an approach, which quantitatively assesses source proportions and fingerprints the signature of analysed Pb, es… Show more

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Cited by 51 publications
(20 citation statements)
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“…evaporation, condensation, diffusion, isotopic exchange, radiometric decay, etc.). Specifically, isotopes of Pb are of particular importance in archaeology, Earth and planetary science, and other scientific fields because they provide insights into the origin of the material [1,2]. For example, the isotopic ratio of Pb can identify the production area of archaeological artefacts (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…evaporation, condensation, diffusion, isotopic exchange, radiometric decay, etc.). Specifically, isotopes of Pb are of particular importance in archaeology, Earth and planetary science, and other scientific fields because they provide insights into the origin of the material [1,2]. For example, the isotopic ratio of Pb can identify the production area of archaeological artefacts (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…A Bayesian mixing model, MixSIAR 70 , 71 , was employed to calculate each end-member contribution to Pb in PM 10 . This model incorporates the uncertainties of the isotopic signatures for each source, and it was successfully applied to assess Pb sources in isotopic mixtures quantitatively 72 . The model results revealed the contribution from oil combustion to be predominant (48–88%) during the local events, whereas coal combustion made a minor contribution (< 21%) in central Taiwan (Supplementary Table S2 , Fig.…”
Section: Resultsmentioning
confidence: 99%
“…-Mixture signatures can also be the result of recycling: a metallic object (broken for example) can be remelted. Metallurgists can melt copper from a broken object and mix it with copper from a different origin to create a new object with a signature corresponding to the average of the two deposits 7 (Longman et al, 2018).…”
Section: I/ Archaeological Provenance Studiesmentioning
confidence: 99%
“…Among recent work,Bray and Pollard (2012) andLongman et al (2018) proposing statistical treatments in order to try to identify possible mixtures but they are still in their inception stages.…”
mentioning
confidence: 99%