A paper published by a joint Icelandic and Danish team in the journal, Proceedings of the National Academy of Sciences (April 25, 2011), provides evidence that a move to ground European aircraft was justified after an April 14, 2010, volcanic event allowed meltwaters from the Eyjafjallaökull glacier to mix with hot magma from the volcanic site, sending fine ash into the jet stream.
A paper published by a joint Icelandicand Danish team in the journal,Proceedings of the National Academyof Sciences (April 25, 2011), providesevidence that a move to groundEuropean aircraft was justifiedafter an April 14, 2010, volcanicevent allowed meltwaters from theEyjafjallaökull glacier to mix withhot magma from the volcanic site,sending fine ash into the jet stream.The team used X-ray photoelectronspectroscopy and atomic forcemicroscopy to assess toxicity risk andto determine the composition of theindividual ash particles.
The study involved taking a uniqueset of dry ash samples collectedimmediately after the explosive eventand comparing the samples withfresh ash from a later, more typicaleruption. Using nanotechniquescustom-designed for studying naturalmaterials, the team explored thephysical and chemical nature of theash to determine if fears about healthand safety were justified. Additionally,they developed a protocol that willserve for assessing risks during afuture event.
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.