National Institute of Standards and Technology | A Breathalyzer for Detecting COVID and Other Diseases @NIST | Uploaded April 2023 | Updated October 2024, 20 hours ago.
NIST/JILA fellows Jun Ye, David Nesbitt and their colleagues have demonstrated that a breathalyzer based on Nobel Prize-winning frequency-comb technology combined with machine learning techniques can accurately detect SARS-CoV-2 infection in human breath. The frequency-comb technology, recognized in the 2005 Nobel Prize in physics, has the potential to detect many other diseases, such as COPD, lung cancer, and kidney failure. Frequency combs can precisely measure different colors of light, including the infrared light absorbed by molecules in a person’s breath. Combined with machine learning, this technique can detect the presence of specific combinations of molecules that are signatures of disease. More Info: nist.gov/news-events/news/jilas-frequency-comb-breathalyzer-detects-covid-19-excellent-accuracy
NIST/JILA fellows Jun Ye, David Nesbitt and their colleagues have demonstrated that a breathalyzer based on Nobel Prize-winning frequency-comb technology combined with machine learning techniques can accurately detect SARS-CoV-2 infection in human breath. The frequency-comb technology, recognized in the 2005 Nobel Prize in physics, has the potential to detect many other diseases, such as COPD, lung cancer, and kidney failure. Frequency combs can precisely measure different colors of light, including the infrared light absorbed by molecules in a person’s breath. Combined with machine learning, this technique can detect the presence of specific combinations of molecules that are signatures of disease. More Info: nist.gov/news-events/news/jilas-frequency-comb-breathalyzer-detects-covid-19-excellent-accuracy
