Evidence map›Paper›PMID 37041241›Full record

ArticleCommunications chemistry2023

Near-infrared hyperspectral imaging to map collagen content in prehistoric bones for radiocarbon dating.

Cristina Malegori, Giorgia Sciutto, Paolo Oliveri, Silvia Prati, Lucrezia Gatti, Emilio Catelli, Stefano Benazzi, Silvia Cercatillo, Dragana Paleček, Rocco Mazzeo and 1 more

Abstract read
In one paragraph

Article in Communications chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

11 authors.

Cristina MalegoriDepartment of Pharmacy, University of Genova, Viale Cembrano 4, I-16148, Genova, Italy. cristina.malegori@unige.it.
Giorgia SciuttoUniversity of Bologna, Department of Chemistry "G. Ciamician", Ravenna Campus, Via Guaccimanni, 42, 48121, Ravenna, Italy. giorgia.sciutto@unibo.it.
Paolo OliveriDepartment of Pharmacy, University of Genova, Viale Cembrano 4, I-16148, Genova, Italy. paolo.oliveri@unige.it.ORCID http://orcid.org/0000-0002-3722-9461
Silvia PratiUniversity of Bologna, Department of Chemistry "G. Ciamician", Ravenna Campus, Via Guaccimanni, 42, 48121, Ravenna, Italy.
Lucrezia GattiUniversity of Bologna, Department of Chemistry "G. Ciamician", Ravenna Campus, Via Guaccimanni, 42, 48121, Ravenna, Italy.ORCID http://orcid.org/0000-0001-8307-2824
Emilio CatelliUniversity of Bologna, Department of Chemistry "G. Ciamician", Ravenna Campus, Via Guaccimanni, 42, 48121, Ravenna, Italy.
Stefano BenazziDepartment of Cultural Heritage, University of Bologna, Via degli Ariani 1, 48121, Ravenna, Italy.
Silvia CercatilloDepartment of Chemistry G. Ciamician, Alma Mater Studiorum, University of Bologna, Via Selmi 2, 40126, Bologna, Italy.ORCID http://orcid.org/0000-0002-5988-4280
Dragana PalečekDepartment of Chemistry G. Ciamician, Alma Mater Studiorum, University of Bologna, Via Selmi 2, 40126, Bologna, Italy.ORCID http://orcid.org/0000-0002-6556-390X
Rocco MazzeoUniversity of Bologna, Department of Chemistry "G. Ciamician", Ravenna Campus, Via Guaccimanni, 42, 48121, Ravenna, Italy.
Sahra TalamoDepartment of Chemistry G. Ciamician, Alma Mater Studiorum, University of Bologna, Via Selmi 2, 40126, Bologna, Italy. sahra.talamo@unibo.it.

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 803147
6 · The paper itself

Abstract

Many of the rarest prehistoric bones found by archaeologists are enormously precious and are considered to be part of our cultural and historical patrimony. Radiocarbon dating is a well-established technique that estimates the ages of bones by analysing the collagen still present. However, this method is destructive, and its use must be limited. In this study, we used imaging technology to quantify the presence of collagen in bone samples in a non-destructive way to select the most suitable samples (or sample regions) to be submitted to radiocarbon dating analysis. Near-infrared spectroscopy (NIR) that was connected to a camera with hyperspectral imaging (HSI) was used along with a chemometric model to create chemical images of the distribution of collagen in ancient bones. This model quantifies the collagen at every pixel and thus provides a chemical mapping of collagen content. Our results will offer significant advances for the study of human evolution as we will be able to minimise the destruction of valuable bone material, which is under the protection and enhancement of European cultural heritage and thus allow us to contextualise the valuable object by providing an accurate calendar age.

Identifiers

PMID37041241
PMCPMC10090164

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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.