New Technique for Detection of Carbon Nanotubes in the Body
New research being conducted at the University of Arkansas is demonstrating that Raman spectroscopy can be used to detect and monitor circulating carbon nanotubes in vivo and in real time.
New research being conducted at the University of Arkansas (Fayetteville, Arkansas) is demonstrating that Raman spectroscopy can be used to detect and monitor circulating carbon nanotubes in vivo and in real time.
Carbon nanotubes can be used for various advanced biomedical applications that would allow researchers to improve their understanding of how nanomaterials interact with living biological systems. Biodistribution of carbon nanotubes, which until now has been monitored only by collecting samples after various time intervals, could now be monitored while the animal is alive.
This research is significant because it can be used to detect circulating cancer cells that have been tagged by carbon nanotubes.
New Study Reveals Insights into Phenol’s Behavior in Ice
April 16th 2025A new study published in Spectrochimica Acta Part A by Dominik Heger and colleagues at Masaryk University reveals that phenol's photophysical properties change significantly when frozen, potentially enabling its breakdown by sunlight in icy environments.
Nanometer-Scale Studies Using Tip Enhanced Raman Spectroscopy
February 8th 2013Volker Deckert, the winner of the 2013 Charles Mann Award, is advancing the use of tip enhanced Raman spectroscopy (TERS) to push the lateral resolution of vibrational spectroscopy well below the Abbe limit, to achieve single-molecule sensitivity. Because the tip can be moved with sub-nanometer precision, structural information with unmatched spatial resolution can be achieved without the need of specific labels.
AI-Driven Raman Spectroscopy Paves the Way for Precision Cancer Immunotherapy
April 15th 2025Researchers are using AI-enabled Raman spectroscopy to enhance the development, administration, and response prediction of cancer immunotherapies. This innovative, label-free method provides detailed insights into tumor-immune microenvironments, aiming to optimize personalized immunotherapy and other treatment strategies and improve patient outcomes.
