Evidence map›Paper›PMID 35630808›Full record

ArticleMolecules (Basel, Switzerland)2022

Chemical Modification of Biomarkers through Accelerated Degradation: Implications for Ancient Plant Identification in Archaeo-Organic Residues.

Barbara Huber, Daniel Giddings Vassão, Patrick Roberts, Yiming V Wang, Thomas Larsen

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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

5 authors at 3 institutions in 2 countries.

Barbara HuberDepartment of Archaeology, Max Planck Institute for the Science of Human History, 07745 Jena, Germany.ORCID 0000-0002-4964-0055
Daniel Giddings VassãoDepartment of Archaeology, Max Planck Institute for the Science of Human History, 07745 Jena, Germany.ORCID 0000-0001-8455-9298
Patrick RobertsDepartment of Archaeology, Max Planck Institute for the Science of Human History, 07745 Jena, Germany.ORCID 0000-0002-4403-7548
Yiming V WangDepartment of Archaeology, Max Planck Institute for the Science of Human History, 07745 Jena, Germany.ORCID 0000-0003-3228-5592
Thomas LarsenDepartment of Archaeology, Max Planck Institute for the Science of Human History, 07745 Jena, Germany.ORCID 0000-0002-0311-9707
Max Planck Institute for the Science of Human History · DEMax Planck Institute for Chemical Ecology · DEThe University of Queensland · AU

Funding

Joachim Herz Stiftung Add-on Fellowship for Interdisciplinary Life Sciences
6 · The paper itself

Abstract

Biochemical and biomolecular archaeology is increasingly used to elucidate the consumption, use, origin, and trade of plants in the past. However, it can be challenging to use biomarkers to identify the taxonomic origin of archaeological plants due to limited knowledge of molecular survival and degradation for many key plant compounds in archaeological contexts. To gain a fundamental understanding of the chemical alterations associated with chemical degradation processes in ancient samples, we conducted accelerated degradation experiments with essential oil derived from cedar (

Indexed as

ArchaeologyPlant OilsBiomarkersCedrusGas Chromatography-Mass SpectrometryBiomarkersPlant Oilsarchaeological plant residuescatalysisdegradation experimentGC-MSmultivariate analysisresidue identificationsecondary metabolites

Identifiers

PMID35630808
PMCPMC9145360
OpenAlexW4281255643

What OpenQuestion holds

Textmetadata
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.