Uncovering Art History Through Spectroscopy
Researchers at Delft University of Technology (The Netherlands) and the University of Antwerp (Antwerp, Belgium) used synchrotron radiation-induced X-ray fluorescence spectroscopy to reveal a portrait of a woman by Vincent van Gogh beneath the paint of his 1887 "Patch of Grass."
Researchers at Delft University of Technology (The Netherlands) and the University of Antwerp (Antwerp, Belgium) used synchrotron radiation-induced X-ray fluorescence spectroscopy to reveal a portrait of a woman by Vincent van Gogh beneath the paint of his 1887 "Patch of Grass." Van Gogh was known to paint over his work, perhaps as often as one third of the time. Behind the painting, done mostly in greens and blues, is a portrait of a woman, rendered in browns and reds. Synchrotron radiation-induced X-ray fluorescence spectroscopy measures chemicals in the pigments, and is said to be an improvement on X-ray radiography, which has been used to reveal concealed layers of other famous paintings. In this case, mercury and antimony were useful in revealing the woman?s face. Researchers said that the new technique is expected to pave the way for research into many other concealed paintings.
CRAIC Technologies Announces Launch of Maceral Identification Solution for Coal Analysis
July 3rd 2025In a press release, CRAIC Technologies announced the launch of its novel maceral identification solution that is designed to improve coal analysis. This new system contains high-speed imaging, servo-driven scanning, and intelligent software that work together to generate more accurate maceral analysis.
Evaluating Microplastic Detection with Fluorescence Microscopy and Raman Spectroscopy
July 2nd 2025A recent study presented a dual-method approach combining confocal micro-Raman spectroscopy and Nile Red-assisted fluorescence microscopy to enhance the accuracy and throughput of microplastics detection in environmental samples.
Artificial Intelligence Accelerates Molecular Vibration Analysis, Study Finds
July 1st 2025A new review led by researchers from MIT and Oak Ridge National Laboratory outlines how artificial intelligence (AI) is transforming the study of molecular vibrations and phonons, making spectroscopic analysis faster, more accurate, and more accessible.
