Characterization of Wheat Varieties Using Terahertz Time-Domain Spectroscopy

被引：33
|
作者：
Ge, Hongyi [1 ,2 ]
Jiang, Yuying [1 ,2 ]
Lian, Feiyu [3 ]
Zhang, Yuan [3 ]
Xia, Shanhong [1 ,2 ]
机构：
[1] Chinese Acad Sci, Inst Elect, State Key Lab Transducer Technol, Beijing 100080, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100080, Peoples R China
[3] Minist Educ, Key Lab Grain Informat Proc & Control, Zhengzhou 450001, Peoples R China
来源：
SENSORS | 2015年 / 15卷 / 06期
基金：
中国国家自然科学基金;
关键词：
terahertz time-domain spectroscopy; wheat varieties; absorption spectrum; interval partial least squares; QUALITY; IDENTIFICATION; REGRESSION; SPECTRA; DISCRIMINATION; PARAMETERS; GRAIN; RAMAN; NIR;
D O I：
10.3390/s150612560
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
Terahertz (THz) spectroscopy and multivariate data analysis were explored to discriminate eight wheat varieties. The absorption spectra were measured using THz time-domain spectroscopy from 0.2 to 2.0 THz. Using partial least squares (PLS), a regression model for discriminating wheat varieties was developed. The coefficient of correlation in cross validation (R) and root-mean-square error of cross validation (RMSECV) were 0.985 and 1.162, respectively. In addition, interval PLS was applied to optimize the models by selecting the most appropriate regions in the spectra, improving the prediction accuracy (R = 0.992 and RMSECV = 0.967). Results demonstrate that THz spectroscopy combined with multivariate analysis can provide rapid, nondestructive discrimination of wheat varieties.
引用
收藏
页码：12560 / 12572
页数：13
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