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Diagnosing Asthma with an Electronic Nose

By HospiMedica staff writers
Posted on 05 Jun 2007
An electronic nose could be used in the future to diagnose asthma. More...


Scientists presented a preliminary study of the device at the American Thoracic Society 2007 International Conference, on Monday, May 21, 2007, in San Francisco (CA, USA). The device contains chemical vapor sensors that react to the presence of volatile organic compounds (VOCs) in a person's exhaled breath. A person's breath contains a mixture of thousands of VOCs that may be used as markers of lung disease, said Dr. Silvano Dragonieri, of Leiden University Medical Center (The Netherlands).

The electronic nose is a newer version of a sensor that has been used in the food, wine, and perfume industries. It is also being used to counter terror, detecting explosives or toxic chemicals in the air.

An electronic nose responds to a given odor by generating a pattern, or smell print, which is analyzed and compared with stored patterns. An electronic nose has been developed that can diagnose respiratory infections such as pneumonia by comparing smell prints from the breath of a sick patient with those of patients with standardized readings. It is also being studied as a diagnostic tool for lung cancer.

In the new study, the researchers compared the smell prints of 20 people with diagnosed asthma (half with severe asthma and half with mild disease) and 20 individuals without asthma to see if the electronic nose could classify them as asthmatic or non-asthmatic. The subjects breathed into a facemask attached to a bag connected to the electronic nose.

The nose was able to detect which smell prints came from people with asthma, but was less accurate in classifying the severity of an individual's asthma. The asthmatic patients in this study already had been diagnosed with asthma, said Dr. Dragonieri The next step is to see whether the nose can diagnose new patients with asthma. It is still a futuristic device--one day different electronic noses may be built to detect specific diseases.


Related Links:
Leiden University Medical Center

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