This talk reflects a collaboration between Ye/Nesbitt groups to use of broad-band, ultrastable infrared frequency comb light sources in the 3-5 and 5-10 m IR fingerprint region with high finesse resonant cavities to probe small molecule content in exhaled human breath. These methods offer as much as a 100-million-fold enhancement in sensitivity x spectral throughput over conventional approaches, which in combination with machine learning algorithms have permitted encouraging first successes in real time identification of COVID disease state.
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David J. Nesbitt (2024) studied this question.
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