Title :
Multicomponent Breath Analysis With Infrared Absorption Using Room-Temperature Quantum Cascade Lasers
Author :
Shorter, Joanne H. ; Nelson, David D. ; McManus, J. Barry ; Zahniser, Mark S. ; Milton, Donald K.
Author_Institution :
Aerodyne Res., Inc., Billerica, MA, USA
Abstract :
Breath analysis is a powerful noninvasive technique for the diagnosis and monitoring of respiratory diseases, including asthma and chronic obstructive pulmonary disease (COPD). Nitric oxide (NO) and carbon monoxide (CO) are markers of airway inflammation and can indicate the extent of respiratory diseases. We have developed a compact fast response laser system for analysis of multiple gases by infrared absorption. The instrument uses room temperature quantum cascade lasers to simultaneously measure NO, CO, carbon dioxide (CO2) and nitrous oxide (N2O) in exhaled breath. Four breath flow rates are employed to explore their exchange dynamics in the lungs and airways. We obtain 1-s detection precisions of 0.5-0.8 parts-per-billion (ppb) for NO, CO, and N2O with an instrument response time of less than 1 s. The breath analysis system has been demonstrated in a preliminary study of volunteers. It is currently deployed in a trial clinical study.
Keywords :
biosensors; carbon compounds; chemical sensors; diseases; infrared spectra; laser applications in medicine; lung; nitrogen compounds; patient diagnosis; patient monitoring; pneumodynamics; quantum cascade lasers; CO; CO2; N2O; NO; airway inflammation; asthma; breath flow rates; carbon monoxide; chronic obstructive pulmonary disease; exchange dynamics; fast response laser system; infrared absorption; lungs; multicomponent breath analysis; nitric oxide; patient diagnosis; patient monitoring; respiratory diseases; room-temperature quantum cascade lasers; Carbon dioxide; Diseases; Electromagnetic wave absorption; Gas lasers; Gases; Instruments; Monitoring; Noninvasive treatment; Quantum cascade lasers; Temperature; Infrared spectroscopy; nitric oxide; quantum cascade laser;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2009.2035764