Micro-contextual identification of archaeological lipid biomarkers using resin-impregnated sediment slabs
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...
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Nature Portfolio
2020
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oai:doaj.org-article:9d337b4a92804d658ac06a47aeb060a12021-12-02T11:41:08ZMicro-contextual identification of archaeological lipid biomarkers using resin-impregnated sediment slabs10.1038/s41598-020-77257-x2045-2322https://doaj.org/article/9d337b4a92804d658ac06a47aeb060a12020-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-77257-xhttps://doaj.org/toc/2045-2322Abstract 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.Caterina Rodríguez de VeraAntonio V. Herrera-HerreraMargarita Jambrina-EnríquezSantiago Sossa-RíosJesús González-UrquijoTalia LazuenMarine VanlandeghemClaire AlixGilliane MonnierGoran PajovićGilbert TostevinCarolina MallolNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-14 (2020) |
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Medicine R Science Q Caterina Rodríguez de Vera Antonio V. Herrera-Herrera Margarita Jambrina-Enríquez Santiago Sossa-Ríos Jesús González-Urquijo Talia Lazuen Marine Vanlandeghem Claire Alix Gilliane Monnier Goran Pajović Gilbert Tostevin Carolina Mallol Micro-contextual identification of archaeological lipid biomarkers using resin-impregnated sediment slabs |
description |
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. |
format |
article |
author |
Caterina Rodríguez de Vera Antonio V. Herrera-Herrera Margarita Jambrina-Enríquez Santiago Sossa-Ríos Jesús González-Urquijo Talia Lazuen Marine Vanlandeghem Claire Alix Gilliane Monnier Goran Pajović Gilbert Tostevin Carolina Mallol |
author_facet |
Caterina Rodríguez de Vera Antonio V. Herrera-Herrera Margarita Jambrina-Enríquez Santiago Sossa-Ríos Jesús González-Urquijo Talia Lazuen Marine Vanlandeghem Claire Alix Gilliane Monnier Goran Pajović Gilbert Tostevin Carolina Mallol |
author_sort |
Caterina Rodríguez de Vera |
title |
Micro-contextual identification of archaeological lipid biomarkers using resin-impregnated sediment slabs |
title_short |
Micro-contextual identification of archaeological lipid biomarkers using resin-impregnated sediment slabs |
title_full |
Micro-contextual identification of archaeological lipid biomarkers using resin-impregnated sediment slabs |
title_fullStr |
Micro-contextual identification of archaeological lipid biomarkers using resin-impregnated sediment slabs |
title_full_unstemmed |
Micro-contextual identification of archaeological lipid biomarkers using resin-impregnated sediment slabs |
title_sort |
micro-contextual identification of archaeological lipid biomarkers using resin-impregnated sediment slabs |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/9d337b4a92804d658ac06a47aeb060a1 |
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