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Classification and identification of molecules through factor analysis method based on terahertz spectroscopy

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单位: [1]Huazhong Univ Sci & Technol, Wuhan Natl Lab Optoelect, Wuhan 430074, Hubei, Peoples R China [2]Huazhong Univ Sci & Technol,Tongji Hosp,Tongli Med Coll,Dept Urol,Wuhan 430074,Hubei,Peoples R China
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关键词: Terahertz spectroscopy Organic macromolecules Factor analysis Classification

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By means of factor analysis approach, a method of molecule classification is built based on the measured terahertz absorption spectra of the molecules. A data matrix can be obtained by sampling the absorption spectra at different frequency points. The data matrix is then decomposed into the product of two matrices: a weight matrix and a characteristic matrix. By using the K-means clustering to deal with the weight matrix, these molecules can be classified. A group of samples (spirobenzopyran, indole, styrene derivatives and inorganic salts) has been prepared, and measured via a terahertz time-domain spectrometer. These samples are classified with 75% accuracy compared to that directly classified via their molecular formulas. (C) 2018 Published by Elsevier B.V.

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出版当年[2017]版:
大类 | 2 区 物理
小类 | 3 区 光谱学
最新[2025]版:
大类 | 2 区 化学
小类 | 2 区 光谱学
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出版当年[2016]版:
Q2 SPECTROSCOPY
最新[2023]版:
Q1 SPECTROSCOPY

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第一作者单位: [1]Huazhong Univ Sci & Technol, Wuhan Natl Lab Optoelect, Wuhan 430074, Hubei, Peoples R China
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