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Proceedings Paper

Improving the measurement accuracy of trace compositions in biological fluids with multi-dimension and multi-mode spectroscopy method
Author(s): Mengqiu Zhang; Gang Li; Xingwei Hou; Ling Lin
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Paper Abstract

In the spectral analysis for biological fluids compositions, the sensitivity of trace compositions reflected in the spectral is very small, which results in the low measurement accuracy. This paper proposes a “Multi-dimension and Multi-mode spectroscopy method” to improve the measurement accuracy of trace compositions by two aspects of spectral acquisition and data processing: measuring the biological fluids sample at multiple modes so that multiple spectral for each sample can be obtained which will carry more information about trace compositions, then connecting these spectral to increase the spectral data dimension that is equivalent to increase the number of constraint equations in the modeling process, the error will be reduced through more constraint equations. An experiment was designed: taking the cholesterol concentration (2.57-8.1mmol/L) in blood plasma as the tested object, the blood plasma was irradiated with tungsten lamp and ultraviolet light source respectively, ultraviolet light stimulates blood plasma can produces fluorescence, the obtained transmission spectrum and fluorescence spectrum were rearranged to build the model. Experimental results showed that the analysis accuracy of cholesterol had been significantly improved. This research provided a new thinking of the analysis for biological fluids trace compositions.

Paper Details

Date Published: 9 November 2018
PDF: 7 pages
Proc. SPIE 10826, Infrared, Millimeter-Wave, and Terahertz Technologies V, 1082618 (9 November 2018); doi: 10.1117/12.2501188
Show Author Affiliations
Mengqiu Zhang, Tianjin Univ. (China)
Gang Li, Tianjin Univ. (China)
Xingwei Hou, Tianjin Univ. (China)
Ling Lin, Tianjin Univ. (China)

Published in SPIE Proceedings Vol. 10826:
Infrared, Millimeter-Wave, and Terahertz Technologies V
Cunlin Zhang; Xi-Cheng Zhang; Masahiko Tani, Editor(s)

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