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http://dx.doi.org/10.46670/JSST.2021.30.5.314

Analysis of biomarkers with tunable infrared gas sensors  

Yi, Seung Hwan (College of Convergence Technology, Korea National University of Transportation)
Publication Information
Journal of Sensor Science and Technology / v.30, no.5, 2021 , pp. 314-319 More about this Journal
Abstract
In this study, biomarkers were analyzed and segmented using tunable infrared gas sensors after performing the principal component analysis. The free spectral range of the device under test (DUT) was around 30 nm and DUT-5580 yielded the highest output voltage property among the others. The biomarkers (isoprophyl alcohol, ethanol, methanol, and acetone solutions) were sequentially mixed with deionized water and their mists were carried into the gas chamber using high-purity nitrogen gas. A total of 17 different mixed gases were tested with three tunable infrared gas sensors, namely DUT-3144, DUT-5580, and DUT-8010. DUT-8010 resolved the infrared absorption spectra of whole mixed gases. Based on the principal component analysis with each DUT and their combinations, each mixed gas and the trends in increasing gas concentration could be well analyzed when the contributions of the eigenvalues of the first and second were higher than 70% and 10%, respectively, and their sum was greater than 90%.
Keywords
Biomarkers; Tunnable infrared gas sensor; Fabry-Perot Interferometer; Principal components analysis; Eigenvalue;
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