Latest Surface enhanced Raman spectroscopy Stories
Researchers from Lawrence Livermore National Laboratory (LLNL) and the Swiss Federal Institute of Technology (ETH) in Zurich have developed a new method of using nanotubes to detect molecules at extremely low concentrations enabling trace detection of biological threats, explosives and drugs.
Scientists have developed a system to quickly detect trace amounts of chemicals like pollutants, explosives or illegal drugs.
Enhanced local electric fields are predominant in nonlinear optical properties, particularly in surface-enhanced Raman scattering (SERS), which is a sensitive technique used for the detection of trace amounts of chemicals.
The physical phenomenon of plasmon resonances in small metal particles has been used for centuries.
Surface Enhanced Raman Spectroscopy (SERS) reveals invisible colors in art masterpieces.
Princeton researchers have invented an extremely sensitive sensor that opens up new ways to detect a wide range of substances, from tell-tale signs of cancer to hidden explosives.
In asymmetric warfare, early detection and identification of trace level chemical and biological agents and explosive compounds is critical to rapid reaction, response, and survivability.
In a timely review paper, scientists from Japan, Germany, and Spain provide a highly relevant overview of the history, physical interpretation and applications of plasmons in metallic nanostructures. (PRWeb UK) January 11, 2011 Tadaaki Nagao at the International Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science (NIMS) and colleagues in Germany and Spain present a review on plasmons in metallic nanomaterials.
A new "on-chip" method for sorting and identifying bacteria has been created by biomedical engineers at Taiwan's National Cheng Kung University.
Using nanotechnology and a patented signal enhancing technique developed at the University of Georgia, UGA researchers have discovered a rapid, sensitive and cost-effective method to detect and identify a number of rotavirus strains and genotypes in less than one minute with greater than 96 percent accuracy.
- Growing in low tufty patches.