Evidence map›Paper›PMID 36500542›Full record

ArticleMolecules (Basel, Switzerland)2022

Thermal and Mechanical Characterization of Yarn Samples from Flemish Tapestry of the Sixteenth Century.

Maria Rita Caruso, Lorenzo Lisuzzo, Giuseppe Cavallaro, Giacomo Mirto, Stefana Milioto, Giuseppe Lazzara

Abstract 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 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
  2. 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

6 authors.

Maria Rita CarusoDipartimento di Fisica e Chimica Emilio Segrè, Università degli Studi di Palermo, Viale delle Scienze, pad. 17, 90128 Palermo, Italy.ORCID 0000-0003-0821-5703
Lorenzo LisuzzoDipartimento di Fisica e Chimica Emilio Segrè, Università degli Studi di Palermo, Viale delle Scienze, pad. 17, 90128 Palermo, Italy.ORCID 0000-0001-6954-2754
Giuseppe CavallaroDipartimento di Fisica e Chimica Emilio Segrè, Università degli Studi di Palermo, Viale delle Scienze, pad. 17, 90128 Palermo, Italy.ORCID 0000-0002-2145-0161
Giacomo MirtoLaurea Magistrale in Conservazione e Restauro per i Beni Culturali, Università degli Studi di Palermo, Viale delle Scienze pad 17, 90128 Palermo, Italy.
Stefana MiliotoDipartimento di Fisica e Chimica Emilio Segrè, Università degli Studi di Palermo, Viale delle Scienze, pad. 17, 90128 Palermo, Italy.
Giuseppe LazzaraDipartimento di Fisica e Chimica Emilio Segrè, Università degli Studi di Palermo, Viale delle Scienze, pad. 17, 90128 Palermo, Italy.ORCID 0000-0003-1953-5817

Funding

Ministry of Education, Universities and Research DM 1061/2021 (DOT:1320535)
6 · The paper itself

Abstract

We propose a physico-chemical approach for theharacterization of the conservation condition of yarns from a Flemish tapestry of the sixteenth century. The aging effect on the yarns' performance was evaluated by comparison with commercial materials. Water uptake experiments highlighted the aptitude of yarns toward water sorption and their increased hydrophilicity upon aging. Thermogravimetric analysis can be considered a fast approach for the fiber identification and assessment on the material life-time. The dynamic mechanical analysis provided direct evidence on the yarns, conservation state and their performance under different mechanical stresses. The proposed characterization path can be relevant for stating the condition of the tapestry and for designing a conservation protocol for the preservation of the artwork.

Indexed as

WaterStress, MechanicalWaterdynamic mechanical analysisthermogravimetrywater uptakeyarn samples

Identifiers

PMID36500542
PMCPMC9737756

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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.