Qualitative and Quantitative Analysis Algorithms Based on Terahertz Spectroscopy for Biomedical Detection

被引：0
|
作者：
Peng Y. [1 ]
Shi C. [1 ]
Zhu Y. [1 ]
Zhuang S. [1 ]
机构：
[1] Terahertz Spectrum and Imaging Technology Cooperative Innovation Center, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai
来源：
Zhongguo Jiguang/Chinese Journal of Lasers | 2019年 / 46卷 / 06期
关键词：
Mixture algorithms; Qualitative and quantitative analysis; Terahertz spectroscopic analysis; Terahertz technology;
D O I：
10.3788/CJL201946.0614002
中图分类号：
学科分类号：
摘要：
This study proposes two effective algorithms for the qualitative and quantitative analysis of components in a mixture. For cases wherein the spectrum of each component in the mixture can be obtained in advance, we develop a simple process, namely "known component analysis (KCA)," which requires a small number of samples. In contrast, for cases wherein a mixture contains many components or the spectra of some components cannot be obtained, we develop "unknown components analysis (UCA)," whose calculation time is considerably less than those of the traditional algorithms. Compared to KCA, UCA requires more samples to be analyzed to ensure the high accuracy rate. These proposed algorithms provide new ways to detect and measure key biomedical substances. © 2019, Chinese Lasers Press. All right reserved.
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