期刊
SENSORS AND ACTUATORS B-CHEMICAL
卷 370, 期 -, 页码 -出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2022.132367
关键词
Photoacoustic spectroscopy; Breath analysis; Asthma; Volatile organic compounds; Multivariate analysis
资金
- Manipal Academy of Higher Education
- MAHE
Photoacoustic spectroscopy (PAS) can be used to diagnose asthma by detecting volatile organic compounds (VOCs) in exhaled breath, showing high sensitivity and specificity.
Photoacoustic spectroscopy (PAS) can detect volatile organic compounds (VOCs) present in exhaled breath with very high sensitivity. A PAS setup using laser excitation at 266 nm and calibrated with Acetone, was used to record photoacoustic signals from a cohort of 20 normal healthy volunteers and 15 Asthma patients. The pho-toacoustic wave-form signals were Fourier-transformed to frequency domain and subjected to Principal Component Analysis (PCA) for classification. It was shown that the two sets of photoacoustic signal data, could be discriminated from each other by distinct cluster formation in a plot of Factors PC1 and PC2. A Match/No Match analysis, using Mahalanobis Distance and Sum of Squared Differences of simulated and actual signal (Spectral Residual) using a Calibration set of Asthma samples, gave a sensitivity of 89% and specificity of 93%. A comparison of results obtained from present data with the E-nose based VOC screening of the same volunteers confirmed the validity of the PAS technique for the diagnosis of Asthma.
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