Evidence map›Paper›PMID 40144633›Full record

ReviewiScience2025

Advancing archaeological sedimentary lipid biomarker analysis: A review of recent developments and methodological guidelines.

Carolina Mallol, Natalia Égüez, Margarita Jambrina-Enríquez, Antonio V Herrera-Herrera

Abstract readReview
In one paragraph

Review in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Carolina MallolInstituto Universitario de Bio-Orgánica Antonio González, Universidad de La Laguna, Avda. Astrofísico Fco. Sánchez, 2, 38206 San Cristóbal de La Laguna, Spain.
Natalia ÉgüezInstituto Universitario de Bio-Orgánica Antonio González, Universidad de La Laguna, Avda. Astrofísico Fco. Sánchez, 2, 38206 San Cristóbal de La Laguna, Spain.
Margarita Jambrina-EnríquezInstituto Universitario de Bio-Orgánica Antonio González, Universidad de La Laguna, Avda. Astrofísico Fco. Sánchez, 2, 38206 San Cristóbal de La Laguna, Spain.
Antonio V Herrera-HerreraInstituto Universitario de Bio-Orgánica Antonio González, Universidad de La Laguna, Avda. Astrofísico Fco. Sánchez, 2, 38206 San Cristóbal de La Laguna, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review targets archaeological scientists and geoarchaeologists, examining the current state of lipid biomarker analysis in archaeological sediments-a growing field. Lipid compounds and their stable isotope ratios serve as valuable proxies for reconstructing past climates, vegetation, freshwater availability, human-environment interactions, diet, technology, and subsistence practices. The paper reviews experimental, archaeological, and ethnoarchaeological studies that apply lipid biomarkers to archaeological sedimentary deposits, contributing to paleoenvironmental research and insights into past human behavior. Key topics include fecal biomarkers, revealing diet and subsistence, and pyrogenic biomarkers, shedding light on fire technology and cooking traditions. Methodological guidelines are provided, covering sample collection, lipid extraction, pretreatment, and compound detection. Challenges include standardizing protocols, integrating new biomarkers, microcontextual approaches, and adopting advanced analytical techniques. Advancing lipid biomarker analysis promises to enhance interdisciplinary research and deepen our understanding of archaeological contexts and human-environment dynamics.

Indexed as

ArcheologyBiochemical analysisPaleobiochemistry

Identifiers

PMID40144633
PMCPMC11938271

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.