JILA Breathalyzer Research Highlighted in Scientific American
A versatile tool called an optical frequency comb can detect the signatures of diseases like COVID-19 in exhaled breath. Credit: Jasmina81/Getty Images
JILA and NIST Fellows David Nesbitt's and Jun Ye's recent results in their breathalyzer study have been highlighted in a new article in泭Scientific American.泭Using frequency combs, a particular type of laser array, scientists could detect specific molecules in the breath, including diseases like COVID-19. This research suggests huge implications for the future of disease diagnosis and prevention.泭We are training our frequency comb nose using machine learning, and once its trained, it becomes an electronic dogwith much greater sensitivity, Ye says in the article.
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