Research on Rapid and Non-Destructive Identification of Aging Wheat Based on ATR-Terahertz Spectroscopy Combined with PLS-DA

文献类型： 外文期刊

第一作者： Wang Dong

作者： Wang Dong;Pan Li-gang;Li An;Jin Xin-xin;Ma Zhi-hong;Wang Ji-hua;Wang Dong;Pan Li-gang;Li An;Jin Xin-xin;Ma Zhi-hong;Wang Ji-hua;Liu Long-hai;Jiang, Justin

作者机构：

关键词： Terahertz spectroscopy;Attenuated total reflection;Wheat;Composite score;Discriminant analysis

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2016 年 36 卷 7 期

页码：

收录情况： SCI

摘要： In this research, the terahertz spectra data of the aging wheat processed under manual control environment by ATR accessory were collected. After the data diversity based on the composite score by PCA, the non-destructive identification models of aging wheat were developed by PT-S-DA algorithm. The results showed that for the absorption coefficient spectrum, the accuracy of the experimental group, control group of the calibration set and cross validation set were 84. 2%, 94. 7%, 84. 2% and 81. 6% respectively, while the accuracy of the experimental group and control group of the external validation set were 73. 7% and 100. 0% respectively; for the refractive index spectrum, the accuracy of the experimental group, control group of the calibration set and cross validation set were 84. 2%, 92. 0%, 76. 3% and 76. 3% respectively, while the accuracy of the experimental group and control group of the external validation set were 84. 2% and 89. 5% respectively. The research indicates that ATR-THz technology should be of great potentials in the application in the non-destructive identification of aging wheat.

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