Defense Advanced Research Projects AgencyTagged Content List

Chemical, Biological, Radiation, Nuclear Defense

Defense against weapons of mass destruction/terror

Showing 43 results for CBRN RSS
Coherent, short-wavelength UV light is useful for a range of applications such as decontamination, precision manufacturing, real-time medical diagnostics, and chemical and biological identification using Raman spectroscopy. However, many applications are unable to transfer out of the lab because the UV lasers needed to generate these coherent photons are prohibitively large, complicated and expensive.
Chemical and biological (CB) threats have become increasingly ubiquitous and diverse. They present a risk to our stability operators in pandemic outbreak scenarios, and our warfighters serving in diverse operating environments. State-of-the-art protective equipment continues to severely limit mobility and performance of the user because of a dependence upon protective garments that are thick, heavy, and cumbersome. The Personalized Protective Biosystem (PPB) program aims to reduce protective equipment needs while increasing protection against existing and future CB threats.
Terrorist attacks involving the use of proliferated radiological and special nuclear materials pose a potential threat to U.S. citizens and servicemembers. Early detection of such materials and devices made from them is a critical part of the U.S. strategy to prevent attacks. Lower-cost and more sensitive detectors, along with innovative deployment strategies, could significantly enhance detection and deterrence of attack.
| CBRN | Sensors |
The SIGMA+ program aims to expand SIGMA’s advance capability to detect illicit radioactive and nuclear materials by developing new sensors and networks that would alert authorities to chemical, biological, and explosives threats as well.
Our ability to detect and identify chemical and biological signals of interest is critical for security at home and abroad. While optical spectroscopy is a valuable tool in the laboratory, current technologies lack the sensitivity and broad spectral coverage needed to detect and distinguish among agents of interest given ubiquitous, dynamic background signals generated by common components in the atmosphere.