This study presents the use of high resolution Nuclear Magnetic Resonance (NMR) as an outstanding tool for identifying with accuracy the structure of the polymers used as binders and the additives used as plasticizers in samples from a mural painted by David Alfaro Siqueiros between 1964 and 1972, an important period in which his artistic production has not been previously studied. Additionally, the presence of some organic pigments was detected. The mural Trazos de composición piramidal currently located outside of Siqueiros' studio La Tallera, in Cuernavaca Morelos (Mexico) was an artistic experiment done by Siqueiros to test outdoor painting. Eight micro-samples of paint were thoroughly analyzed by Optical Microscopy (OM), Scanning Electron Microscopy - Energy Dispersive X-Ray Spectroscopy (SEM-EDS), Fiber Optics Reflectance Spectra (FORS), Transmission Fourier Transform Infrared Spectroscopy with Attenuated Total Reflectance mode (FTIR-ATR) and Pyrolysis-Gas Chromatography/Mass Spectrometry (Py-GC/MS). Through these studies, contrasted with an historical investigation, we demonstrate that the samples present a multi-layered and complex painting system because Siqueiros made at least two versions of the painting. The multi-layered structure and the variable composition of each layer challenged the application of several analytical methodologies traditionally used for cultural heritage materials. In one sample, each layer was separated and they were studied in detail by FTIR-ATR, Py-GC/MS and NMR. This study revealed the presence of two main binders: acrylics in the first layers and nitrocellulose in the last one, also some phthalates and fatty acids were detected as additives. Inorganic pigments and fillers were identified as titanium dioxide and iron red oxide as well as diatoms and carbonates. The main contribution of this study, where NMR spectroscopy was applied for the first time in modern mural painting analysis, is the characterization of the materials used by Siqueiros during the last years of his artistic production.
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http://dx.doi.org/10.1016/j.saa.2022.121073 | DOI Listing |
Sci Total Environ
December 2024
Department of Science, Roma Tre University, Viale G. Marconi 446, 00146 Rome, Italy; NBFC, National Biodiversity Future Center, Piazza Marina, 61, 90133 Palermo, Italy. Electronic address:
Pink biofilm formation on stone monuments and mural paintings poses serious harm to cultural heritage preservation. Pink biofilms are globally widespread and recalcitrant to eradication, often causing recurrences after restoration. Yet, the ecological drivers of pink biofilm formation and the metabolic functions sustaining the growth of pigment-producing biodeteriogens remain unclear.
View Article and Find Full Text PDFFront Artif Intell
November 2024
Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, India.
Mural paintings are vital cultural expressions, enriching our lives by beautifying spaces, conveying messages, telling stories, and evoking emotions. Ancient temple murals degrade over time due to natural aging, physical damage, etc. Preserving these cultural treasures is challenging.
View Article and Find Full Text PDFAnal Bioanal Chem
January 2025
Instituto de Química, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico.
This study presents the analysis of seven microsamples from Untitled Mural 3, painted by David Alfaro Siqueiros between 1964 and 1972. The mural has never been restored, therefore preserving the materials used by the artist. The microsamples were analyzed using a combination of techniques: optical microscopy (OM), scanning electron microscopy with energy-dispersive spectroscopy (SEM-EDS), attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR), micro-Fourier transform infrared spectroscopy (micro-FTIR) with reflection mode, and high-resolution nuclear magnetic resonance (NMR) spectroscopy.
View Article and Find Full Text PDFSci Rep
October 2024
Art School, Northwest University, Xi'an, 710127, China.
Ancient murals embody profound historical, cultural, scientific, and artistic values, yet many are afflicted with challenges such as pigment shedding or missing parts. While deep learning-based completion techniques have yielded remarkable results in restoring natural images, their application to damaged murals has been unsatisfactory due to data shifts and limited modeling efficacy. This paper proposes a novel progressive reasoning network designed specifically for mural image completion, inspired by the mural painting process.
View Article and Find Full Text PDFJ Appl Microbiol
October 2024
Department of Biology and Biotechnologies, Sapienza University of Rome, Rome 00185, Italy.
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