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Guiry and Szpak 2021 JAS.pdf (2.13 MB)

Improved quality control criteria for stable carbon and nitrogen isotope measurements of ancient bone collagen

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journal contribution
posted on 2021-07-07, 14:22 authored by Eric J Guiry, Paul Szpak
The carbon (δ13C) and nitrogen (δ15N) isotopic compositions of bone and tooth collagen provide a powerful tool for studying past biological, environmental, and cultural phenomena. Collagen has a well-understood chemical composition that has enabled the development of invaluable quality control (QC) criteria for isotopic data – something that is extremely rare among biogeochemical research on ancient biomolecules as a whole. The most important of these collagen QC criteria is atomic C:N ratio (ratio of carbon to nitrogen atoms), which provides an indicator of the extent to which the amount of carbon and nitrogen present in a sample matches the known composition of pure collagen, thereby indicating whether contamination or diagenesis may be influencing a sample's isotopic compositions. We present a model describing the relationship between the carbon and nitrogen isotopic and elemental compositions that accounts for the isotopic composition of the endogenous collagen and exogenous contaminants as well as taxon-specific information about the collagen's amino acid composition. In some cases the traditional C:N QC parameters are applicable, while in others they can result in the inclusion of unreliable (altered) isotopic data primarily due to contamination from humic substances. Using new and previously published data on taxa commonly encountered in ancient studies, we further illustrate how using traditional C:N QC parameters may lead to the inclusion of altered isotopic compositions in real archaeological and paleontological scenarios. We argue that the traditional ‘one size fits all’ approach to the C:N QC criterion should be avoided and we outline new collagen QC criteria specific to certain taxa and environments on the basis of the results of our model. These revised criteria will help to improve the interpretation of isotopic data by more accurately identifying samples with isotopic compositions altered by contamination.

History

Citation

Journal of Archaeological Science Volume 132, August 2021, 105416

Author affiliation

School of Archaeology and Ancient History

Version

  • AM (Accepted Manuscript)

Published in

Journal of Archaeological Science

Volume

132

Publisher

Elsevier BV

issn

0305-4403

Acceptance date

2021-05-18

Copyright date

2021

Available date

2022-06-08

Language

en

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