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. H...

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Autores principales:	Jack Longman, Daniel Veres, Vasile Ersek, Donald L. Phillips, Catherine Chauvel, Calin G. Tamas
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c02ae95f29054e4cad131ecf460ef34d
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spelling	oai:doaj.org-article:c02ae95f29054e4cad131ecf460ef34d2021-12-02T15:08:48ZQuantitative assessment of Pb sources in isotopic mixtures using a Bayesian mixing model10.1038/s41598-018-24474-02045-2322https://doaj.org/article/c02ae95f29054e4cad131ecf460ef34d2018-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-24474-0https://doaj.org/toc/2045-2322Abstract 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, especially for larger numbers of sources, would be valuable. Here we use an advanced Bayesian isotope mixing model for three such applications: tracing dust sources in pre-anthropogenic environmental samples, tracking changing ore exploitation during the Roman period, and identifying the source of Pb in a Roman-age mining artefact. These examples indicate this approach can understand changing Pb sources deposited during both pre-anthropogenic times, when natural cycling of Pb dominated, and the Roman period, one marked by significant anthropogenic pollution. Our archaeometric investigation indicates clear input of Pb from Romanian ores previously speculated, but not proven, to have been the Pb source. Our approach can be applied to a range of disciplines, providing a new method for robustly tracing sources of Pb observed within a variety of environments.Jack LongmanDaniel VeresVasile ErsekDonald L. PhillipsCatherine ChauvelCalin G. TamasNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-16 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jack Longman Daniel Veres Vasile Ersek Donald L. Phillips Catherine Chauvel Calin G. Tamas Quantitative assessment of Pb sources in isotopic mixtures using a Bayesian mixing model
description	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, especially for larger numbers of sources, would be valuable. Here we use an advanced Bayesian isotope mixing model for three such applications: tracing dust sources in pre-anthropogenic environmental samples, tracking changing ore exploitation during the Roman period, and identifying the source of Pb in a Roman-age mining artefact. These examples indicate this approach can understand changing Pb sources deposited during both pre-anthropogenic times, when natural cycling of Pb dominated, and the Roman period, one marked by significant anthropogenic pollution. Our archaeometric investigation indicates clear input of Pb from Romanian ores previously speculated, but not proven, to have been the Pb source. Our approach can be applied to a range of disciplines, providing a new method for robustly tracing sources of Pb observed within a variety of environments.
format	article
author	Jack Longman Daniel Veres Vasile Ersek Donald L. Phillips Catherine Chauvel Calin G. Tamas
author_facet	Jack Longman Daniel Veres Vasile Ersek Donald L. Phillips Catherine Chauvel Calin G. Tamas
author_sort	Jack Longman
title	Quantitative assessment of Pb sources in isotopic mixtures using a Bayesian mixing model
title_short	Quantitative assessment of Pb sources in isotopic mixtures using a Bayesian mixing model
title_full	Quantitative assessment of Pb sources in isotopic mixtures using a Bayesian mixing model
title_fullStr	Quantitative assessment of Pb sources in isotopic mixtures using a Bayesian mixing model
title_full_unstemmed	Quantitative assessment of Pb sources in isotopic mixtures using a Bayesian mixing model
title_sort	quantitative assessment of pb sources in isotopic mixtures using a bayesian mixing model
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/c02ae95f29054e4cad131ecf460ef34d
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_version_	1718388024651284480

Quantitative assessment of Pb sources in isotopic mixtures using a Bayesian mixing model

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