Evidence map›Paper›PMID 39684146›Full record

ArticlePolymers2024

Analysis of the Effects of Neutron Radiation on Cellulose Linen Fabrics Using Non-Destructive Testing.

César Barta, María Fernández-Álvarez, Elisa María Ruiz-Navas

Abstract read
In one paragraph

Article in Polymers, 2024. 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. 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

3 authors.

César BartaDepartamento de Ciencia e Ingeniería de Materiales e Ingeniería Química, Universdad Carlos III de Madrid, Avenida de la Universidad, 30, 28911 Leganés, Spain.ORCID 0009-0008-9686-4538
María Fernández-ÁlvarezElectroceramic Department, Instituto de Cerámica y Vidrio (ICV), CSIC, Kelsen 5, 28049 Madrid, Spain.ORCID 0000-0001-5546-5962
Elisa María Ruiz-NavasDepartamento de Ciencia e Ingeniería de Materiales e Ingeniería Química, Universdad Carlos III de Madrid, Avenida de la Universidad, 30, 28911 Leganés, Spain.ORCID 0000-0002-0605-1365

Funding

MCIN/AEI/10.13039/501100011033 and European Union NextGenerationEU/PRTR Grant No FJC2021-047888-I
6 · The paper itself

Abstract

This work describes the effects of using neutron irradiation on cellulose and non-destructive methods to analyze linen fabrics of high heritage value. For this purpose, 8 samples were irradiated with increasing doses of neutrons and gamma rays up to 166 kGy of total dose. The samples were characterized by techniques such as ultraviolet luminescence, attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy, Raman spectroscopy, and the nuclear magnetic resonance (NMR) technique. The luminescence of linen fabrics in the ultraviolet range increases markedly with dosage. Some chemical changes were also perceived by the ATR-FTIR spectra in the linen samples. Similarly, the fluorescence background observed in Raman spectroscopy intensifies with dosage. Due to the heterogeneity of the textile cellulose, NMR offers limited applicability for detecting neutron doses in cultural heritage fabrics. Radiation is applied for preservation against microorganisms in cultural heritage objects where the damage is to be assessed. This radiation can occasionally be found after earthquakes or in volcanic archaeological sites, which could question its dating using carbon 14. Despite some limitations encountered due to working with commonly used linen fabrics, the techniques employed in this study have made it possible to observe trends between the responses obtained and the irradiation dose for each linen sample.

Indexed as

ATR-FTIRcellulosecultural heritagefluorescencelinenneutron irradiationRaman spectroscopy

Identifiers

PMID39684146
PMCPMC11644802

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.