Evidence map›Paper›PMID 35746228›Full record

ArticleSensors (Basel, Switzerland)2022

Interdisciplinary Research to Advance Digital Imagery and Natural Compounds for Eco-Cleaning and for Preserving Textile Cultural Heritage.

Dorina Camelia Ilies, Zlatin Zlatev, Alexandru Ilies, Berdenov Zharas, Emilia Pantea, Nicolaie Hodor, Liliana Indrie, Alexandru Turza, Hamid R Taghiyari, Tudor Caciora and 3 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

13 authors.

Dorina Camelia IliesDepartment of Geography, Tourism and Territorial Planning, Faculty of Geography, Tourism and Sport, University of Oradea, 1 Universitatii Street, 410087 Oradea, Romania.
Zlatin ZlatevFaculty of Technics and Technologies, Trakia University, Bulgaria, 38 Graf Ignatiev Street, 8602 Yambol, Bulgaria.ORCID 0000-0003-3080-5048
Alexandru IliesDepartment of Geography, Tourism and Territorial Planning, Faculty of Geography, Tourism and Sport, University of Oradea, 1 Universitatii Street, 410087 Oradea, Romania.
Berdenov ZharasDepartment of Physical and Economic Geography, Faculty of Science, L.N. Gumilyov Eurasian National University, 2 Satpayev Street, Nur-Sultan 010008, Kazakhstan.ORCID 0000-0002-2898-8212
Emilia PanteaFaculty of Environmental Protection, University of Oradea, Magheru Street 26, 410087 Oradea, Romania.
Nicolaie HodorFaculty of Geography, Babes-Bolyai University, 5-6 Clinicilor Street, 400006 Cluj-Napoca, Romania.
Liliana IndrieDepartment of Textile, Leather and Industrial Management, Faculty of Energy Engineering and Industrial Management, University of Oradea, B. St. Delavrancea Str. No. 4, 410058 Oradea, Romania.ORCID 0000-0002-7094-4790
Alexandru TurzaNational Institute for R&D of Isotopic and Molecular Technologies, 67-103 Donat Street, 400293 Cluj-Napoca, Romania.ORCID 0000-0002-1920-9272
Hamid R TaghiyariFaculty of Materials Engineering & New Technologies, Shahid Rajaee Teacher Training University, Tehran 16788-15811, Iran.ORCID 0000-0002-6952-0923
Tudor CacioraDepartment of Geography, Tourism and Territorial Planning, Faculty of Geography, Tourism and Sport, University of Oradea, 1 Universitatii Street, 410087 Oradea, Romania.
Monica CosteaFaculty of Environmental Protection, University of Oradea, Magheru Street 26, 410087 Oradea, Romania.
Bahodiron SafarovDepartment of Digital Economy, Samarkand State University, Samarkand 140104, Uzbekistan.ORCID 0000-0002-2736-7000
Barbu-Tudoran LucianNational Institute for R&D of Isotopic and Molecular Technologies, 67-103 Donat Street, 400293 Cluj-Napoca, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The old fibers that make up heritage textiles displayed in museums are degraded by the aging process, environmental conditions (microclimates, particulate matter, pollutants, sunlight) and the action of microorganisms. In order to counteract these processes and keep the textile exhibits in good condition for as long as possible, both reactive and preventive interventions on them are necessary. Based on these ideas, the present study aims to test a natural and non-invasive method of cleaning historic textiles, which includes the use of a natural substance with a known antifungal effect (being traditionally used in various rural communities)-lye. The design of the study was aimed at examining a traditional women's shirt that is aged between 80-100 years, using artificial intelligence techniques for Scanning Electron Microscopy (SEM) imagery analysis and X-ray powder diffraction technique in order to achieve a complex and accurate investigation and monitoring of the object's realities. The determinations were performed both before and after washing the material with lye. SEM microscopy investigations of the ecologically washed textile specimens showed that the number of microorganism colonies, as well as the amount of dust, decreased. It was also observed that the surface cellulose fibers lost their integrity, eventually being loosened on cellulose fibers of cotton threads. This could better visualize the presence of microfibrils that connect the cellulose fibers in cotton textiles. The results obtained could be of real value both for the restorers, the textile collections of the different museums, and for the researchers in the field of cultural heritage. By applying such a methodology, cotton tests can be effectively cleaned without compromising the integrity of the material.

Indexed as

Interdisciplinary ResearchLyeAged, 80 and overArtificial IntelligenceCelluloseFemaleHumansTextilesCelluloseLyeartificial intelligence techniquesdigital imageryheritage textilesSEMX-ray powder diffraction technique

Identifiers

PMID35746228
PMCPMC9231118

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.