Assessing the predictability of existing water-to-enamel geolocation models against known human teeth

Abstract Stable isotope analysis of human tissues has become a valuable tool for mapping human geolocation. This study adds to the existing knowledge of the relationship between oxygen stable isotopes in human enamel and drinking water by presenting enamel oxygen values in clinic-extracted human den...

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Autores principales:	Momoko Ueda, Lynne S. Bell
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/bc653523028e4c45be240d60532c84be
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spelling	oai:doaj.org-article:bc653523028e4c45be240d60532c84be2021-12-02T16:35:36ZAssessing the predictability of existing water-to-enamel geolocation models against known human teeth10.1038/s41598-021-95153-w2045-2322https://doaj.org/article/bc653523028e4c45be240d60532c84be2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95153-whttps://doaj.org/toc/2045-2322Abstract Stable isotope analysis of human tissues has become a valuable tool for mapping human geolocation. This study adds to the existing knowledge of the relationship between oxygen stable isotopes in human enamel and drinking water by presenting enamel oxygen values in clinic-extracted human dental enamel with known provenance. The results from this study indicate that the theoretical isotopic relationship between enamel and drinking water oxygen is weak at the city and country-level. Differences of up to 15‰ were observed between predicted drinking water oxygen values using existing models and observed values, highlighting the complexity of using water/enamel conversion equations. The lower isotopic boundary of enamel oxygen values is now understood for Metro Vancouver at δ 18Oc(VPDB) = – 11.0‰ and presents the possibility of using stable isotope analysis as an exclusionary tool where individuals falling below threshold value can be identified as non-local. Overall, this study’s results support the development of geographical reference maps for human enamel oxygen.Momoko UedaLynne S. BellNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-21 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Momoko Ueda Lynne S. Bell Assessing the predictability of existing water-to-enamel geolocation models against known human teeth
description	Abstract Stable isotope analysis of human tissues has become a valuable tool for mapping human geolocation. This study adds to the existing knowledge of the relationship between oxygen stable isotopes in human enamel and drinking water by presenting enamel oxygen values in clinic-extracted human dental enamel with known provenance. The results from this study indicate that the theoretical isotopic relationship between enamel and drinking water oxygen is weak at the city and country-level. Differences of up to 15‰ were observed between predicted drinking water oxygen values using existing models and observed values, highlighting the complexity of using water/enamel conversion equations. The lower isotopic boundary of enamel oxygen values is now understood for Metro Vancouver at δ 18Oc(VPDB) = – 11.0‰ and presents the possibility of using stable isotope analysis as an exclusionary tool where individuals falling below threshold value can be identified as non-local. Overall, this study’s results support the development of geographical reference maps for human enamel oxygen.
format	article
author	Momoko Ueda Lynne S. Bell
author_facet	Momoko Ueda Lynne S. Bell
author_sort	Momoko Ueda
title	Assessing the predictability of existing water-to-enamel geolocation models against known human teeth
title_short	Assessing the predictability of existing water-to-enamel geolocation models against known human teeth
title_full	Assessing the predictability of existing water-to-enamel geolocation models against known human teeth
title_fullStr	Assessing the predictability of existing water-to-enamel geolocation models against known human teeth
title_full_unstemmed	Assessing the predictability of existing water-to-enamel geolocation models against known human teeth
title_sort	assessing the predictability of existing water-to-enamel geolocation models against known human teeth
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/bc653523028e4c45be240d60532c84be
work_keys_str_mv	AT momokoueda assessingthepredictabilityofexistingwatertoenamelgeolocationmodelsagainstknownhumanteeth AT lynnesbell assessingthepredictabilityofexistingwatertoenamelgeolocationmodelsagainstknownhumanteeth
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Assessing the predictability of existing water-to-enamel geolocation models against known human teeth

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