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Assessing the predictability of existing water-to-enamel geolocation models against known human teeth
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 ename...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329056/ https://www.ncbi.nlm.nih.gov/pubmed/34341459 http://dx.doi.org/10.1038/s41598-021-95153-w |
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author | Ueda, Momoko Bell, Lynne S. |
author_facet | Ueda, Momoko Bell, Lynne S. |
author_sort | Ueda, Momoko |
collection | PubMed |
description | 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(18)O(c(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 | Online Article Text |
id | pubmed-8329056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83290562021-08-03 Assessing the predictability of existing water-to-enamel geolocation models against known human teeth Ueda, Momoko Bell, Lynne S. Sci Rep Article 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(18)O(c(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. Nature Publishing Group UK 2021-08-02 /pmc/articles/PMC8329056/ /pubmed/34341459 http://dx.doi.org/10.1038/s41598-021-95153-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ueda, Momoko Bell, Lynne S. Assessing the predictability of existing water-to-enamel geolocation models against known human teeth |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329056/ https://www.ncbi.nlm.nih.gov/pubmed/34341459 http://dx.doi.org/10.1038/s41598-021-95153-w |
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