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• W4319063405 startingPage "382" @default.
• W4319063405 abstract "Stable carbon isotope analysis has proven utility for reconstructing dietary information in humans in past populations. The usefulness of stable carbon for forensic geolocation has been little investigated, largely because of the globalization of the human diet seemingly rendering it inconsequential. This study queried this assumption at a country-wide level on a known sample group. Stable carbon isotope values were obtained from human enamel with known biographical and geographical information to determine whether stable carbon, when paired with stable oxygen isotope values, could differentiate Canadians from non-Canadians. Samples originating outside of Canada were separated into three regions, and a linear discriminant analysis was used to generate discriminant functions that best separate the regions according to the stable carbon and oxygen isotope values. The results revealed two functions, where the first function explained 92.1% and the second 7.9% of the variance. Although some overlap in stable carbon and oxygen values was observed for individuals from both the United States and Canada, differences were observed between those from Canada and other geographical regions. This study demonstrated that pairing the dietary isotope carbon with the geolocator stable oxygen isotope, produced an interesting separation geographically, one that might well be helpful when attempting a geolocation query on unknown human remains." @default.
• W4319063405 created "2023-02-04" @default.
• W4319063405 creator A5044463434 @default.
• W4319063405 creator A5065274551 @default.
• W4319063405 date "2023-02-03" @default.
• W4319063405 modified "2023-10-17" @default.
• W4319063405 title "Paired stable carbon and oxygen isotope analyses of human enamel for forensic human geolocation: An exploratory study" @default.
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• W4319063405 doi "https://doi.org/10.1111/1556-4029.15212" @default.
• W4319063405 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36734276" @default.
• W4319063405 hasPublicationYear "2023" @default.
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