The method, which uses small, inexpensive lasers and sensors, could be useful for controlling pollution and diagnosing diseases like asthma and chronic obstructive pulmonary disease, also known as COPD. These illnesses are typically diagnosed by detecting small amounts of nitric oxide in a patient’s breath.
Electrical engineering professor Gerard Wysocki, one of the research team’s co-leaders, said in a University statement that the new detection method was “more accurate and sensitive than existing systems.”
The team conducted some initial tests of the sensor at the 2008 Olympic Games in Beijing, for which the Chinese government enforced stringent environmental standards to limit air pollution.
The results of the researchers’ work were published in the Aug. 4 issue of the Proceedings of the National Academy of Sciences.
The research was funded by the U.S. Department of Energy and the National Science Foundation through a grant to the Mid-InfraRed Technologies for Health and the Environment Engineering Research Center, which is based at Princeton.
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