Interdisciplinary Research to Advance Digital Imagery and Natural Compounds for Eco-Cleaning and for Preserving Textile Cultural Heritage
Ilies D.C. Zlatev Z. Ilies A. Zharas B. Pantea E. Hodor N. Indrie L. Turza A. Taghiyari H.R. Caciora T. Costea M. Safarov B. Lucian B.-T.
June-2 2022MDPI
Sensors
2022#22Issue 12
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.
artificial intelligence techniques , digital imagery , heritage textiles , SEM , X-ray powder diffraction technique
Text of the article Перейти на текст статьи
Department of Geography, Tourism and Territorial Planning, Faculty of Geography, Tourism and Sport, University of Oradea, 1 Universitatii Street, Oradea, 410087, Romania
Faculty of Technics and Technologies, Trakia University, 38 Graf Ignatiev Street., Yambol, 8602, Bulgaria
Department of Physical and Economic Geography, Faculty of Science, L.N. Gumilyov, Eurasian National University, 2 Satpayev Street, Nur-Sultan, 010008, Kazakhstan
Faculty of Environmental Protection, University of Oradea, Magheru Street 26, Oradea, 410087, Romania
Faculty of Geography, Babes-Bolyai University, 5-6 Clinicilor Street, Cluj Napoca, 400006, Romania
Department of Textile, Leather and Industrial Management, Faculty of Energy Engineering and Industrial Management, University of Oradea, B. St. Delavrancea Str. No. 4, Oradea, 410058, Romania
National Institute for R&D of Isotopic and Molecular Technologies, 67-103 Donat Street, Cluj-Napoca, 400293, Romania
Faculty of Materials Engineering & New Technologies, Shahid Rajaee Teacher Training University, Tehran, 16788-15811, Iran
Department of Digital Economy, Samarkand State University, Samarkand, 140104, Uzbekistan
Electron Microscopy Center “Prof. C. Craciun”, Faculty of Biology & Geology, “Babes-Bolyai” University, 5-7 Clinicilor Str., Cluj-Napoca, 400006, Romania
Department of Geography
Faculty of Technics and Technologies
Department of Physical and Economic Geography
Faculty of Environmental Protection
Faculty of Geography
Department of Textile
National Institute for R&D of Isotopic and Molecular Technologies
Faculty of Materials Engineering & New Technologies
Department of Digital Economy
Electron Microscopy Center “Prof. C. Craciun”
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026