ArticleScientific reports2020
Micro-contextual identification of archaeological lipid biomarkers using resin-impregnated sediment slabs.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- New methods on the block: Taxonomic identification of archaeological bones in resin-embedded sediments through paleoproteomics.PNAS nexus · 2025Article
- Advancing archaeological sedimentary lipid biomarker analysis: A review of recent developments and methodological guidelines.iScience · 2025Review
- Review
- Compound-specific carbon isotope analysis of short-chain fatty acids from Pine tissues: characterizing paleo-fire residues and plant exudates.Archaeological and anthropological sciences · 2023Article
- Micromilling vs hand drilling in stable isotope analyses of incremental carbonates: The potential for δRapid communications in mass spectrometry : RCM · 2022Article
- Microstratigraphic preservation of ancient faunal and hominin DNA in Pleistocene cave sediments.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
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Authors and funding
12 authors.
Funding
Abstract
Characterizing organic matter preserved in archaeological sediment is crucial to behavioral and paleoenvironmental investigations. This task becomes particularly challenging when considering microstratigraphic complexity. Most of the current analytical methods rely on loose sediment samples lacking spatial and temporal resolution at a microstratigraphic scale, adding uncertainty to the results. Here, we explore the potential of targeted molecular and isotopic biomarker analysis on polyester resin-impregnated sediment slabs from archaeological micromorphology, a technique that provides microstratigraphic control. We performed gas chromatography-mass spectrometry (GC-MS) and gas chromatography-isotope ratio mass spectromety (GC-IRMS) analyses on a set of samples including drill dust from resin-impregnated experimental and archaeological samples, loose samples from the same locations and resin control samples to assess the degree of interference of polyester resin in the GC-MS and Carbon-IRMS signals of different lipid fractions (n-alkanes, aromatics, n-ketones, alcohols, fatty acids and other high polarity lipids). The results show that biomarkers within the n-alkane, aromatic, n-ketone, and alcohol fractions can be identified. Further work is needed to expand the range of identifiable lipid biomarkers. This study represents the first micro-contextual approach to archaeological lipid biomarkers and contributes to the advance of archaeological science by adding a new method to obtain behavioral or paleoenvironmental proxies.
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