Drieu, Léa orcid.org/0000-0002-7324-4925, Lundy, Jasmine, Smith, Rachel K. et al. (6 more authors) (2024) A medium-throughput approach for improved taxonomic identification of lipids preserved in ancient pottery. Archaeometry. ISSN 0003-813X
Abstract
Abstract Organic residue analysis (ORA) is a valuable tool for the study of ancient diets, but conventional methods remain limited in terms of taxonomic identification or to resolve mixtures. Here, we propose a method to further explore a class of compounds?triacylglycerols (TAGs)?using high-resolution mass spectrometry to overcome these limitations in an attempt to better characterise culinary practices. Over 70 medieval Sicilian pots and a wide range of authentic fresh products were studied by matrix-assisted laser desorption/ionisation?mass spectrometry (MALDI-MS and MALDI-MS/MS). MALDI-MS analysis can distinguish fresh foodstuffs but provides little additional information regarding the contents of archaeological pottery compared to conventional ORA methods. In contrast, product ion analyses were able to deconvolute a range of animal carcass fat mixtures. In addition, detailed analysis of the composition of saturated T44 and unsaturated T50?T54 TAGs was able to provide greater taxonomic resolution regarding dairy products and plant oils.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy. |
Keywords: | dairy products,MALDI,medieval Sicily,organic residue analysis,plant oils,triacylglycerols |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Arts and Humanities (York) > Archaeology (York) The University of York > Faculty of Sciences (York) > Chemistry (York) |
Depositing User: | Pure (York) |
Date Deposited: | 10 May 2024 09:00 |
Last Modified: | 20 Mar 2025 00:12 |
Published Version: | https://doi.org/10.1111/arcm.12976 |
Status: | Published online |
Refereed: | Yes |
Identification Number: | 10.1111/arcm.12976 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:212319 |