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Micro-contextual identification of archaeological lipid biomarkers using resin-impregnated sediment slabs

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...

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Autores principales: Rodríguez de Vera, Caterina, Herrera-Herrera, Antonio V., Jambrina-Enríquez, Margarita, Sossa-Ríos, Santiago, González-Urquijo, Jesús, Lazuen, Talia, Vanlandeghem, Marine, Alix, Claire, Monnier, Gilliane, Pajović, Goran, Tostevin, Gilbert, Mallol, Carolina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689525/
https://www.ncbi.nlm.nih.gov/pubmed/33239666
http://dx.doi.org/10.1038/s41598-020-77257-x
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author Rodríguez de Vera, Caterina
Herrera-Herrera, Antonio V.
Jambrina-Enríquez, Margarita
Sossa-Ríos, Santiago
González-Urquijo, Jesús
Lazuen, Talia
Vanlandeghem, Marine
Alix, Claire
Monnier, Gilliane
Pajović, Goran
Tostevin, Gilbert
Mallol, Carolina
author_facet Rodríguez de Vera, Caterina
Herrera-Herrera, Antonio V.
Jambrina-Enríquez, Margarita
Sossa-Ríos, Santiago
González-Urquijo, Jesús
Lazuen, Talia
Vanlandeghem, Marine
Alix, Claire
Monnier, Gilliane
Pajović, Goran
Tostevin, Gilbert
Mallol, Carolina
author_sort Rodríguez de Vera, Caterina
collection PubMed
description 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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spelling pubmed-76895252020-11-27 Micro-contextual identification of archaeological lipid biomarkers using resin-impregnated sediment slabs Rodríguez de Vera, Caterina Herrera-Herrera, Antonio V. Jambrina-Enríquez, Margarita Sossa-Ríos, Santiago González-Urquijo, Jesús Lazuen, Talia Vanlandeghem, Marine Alix, Claire Monnier, Gilliane Pajović, Goran Tostevin, Gilbert Mallol, Carolina Sci Rep Article 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. Nature Publishing Group UK 2020-11-25 /pmc/articles/PMC7689525/ /pubmed/33239666 http://dx.doi.org/10.1038/s41598-020-77257-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Rodríguez de Vera, Caterina
Herrera-Herrera, Antonio V.
Jambrina-Enríquez, Margarita
Sossa-Ríos, Santiago
González-Urquijo, Jesús
Lazuen, Talia
Vanlandeghem, Marine
Alix, Claire
Monnier, Gilliane
Pajović, Goran
Tostevin, Gilbert
Mallol, Carolina
Micro-contextual identification of archaeological lipid biomarkers using resin-impregnated sediment slabs
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689525/
https://www.ncbi.nlm.nih.gov/pubmed/33239666
http://dx.doi.org/10.1038/s41598-020-77257-x
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