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.
Faster Clostridium Detection in Milk with Raman Spectroscopy
December 23rd 2024Researchers from Italy have developed a Raman spectroscopy-based method for the rapid detection of Clostridium spores in milk. This technique offers significant advantages over traditional methods, reducing detection time by nearly half while maintaining sensitivity and reliability.
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.
Raman Spectroscopy and Deep Learning Enhances Blended Vegetable Oil Authentication
December 10th 2024Researchers at Yanshan University have developed a groundbreaking method combining Raman spectroscopy and deep learning models to accurately identify and quantify components in blended vegetable oils.
