Characterization of Wheat Varieties Using Terahertz Time-Domain SpectroscopyReport as inadecuate




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1

State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100080, China

2

University of the Chinese Academy of Sciences, Beijing 100080, China

3

Key Laboratory of Grain Information Processing & Control, Ministry of Education, Zhengzhou 450001, China





*

Author to whom correspondence should be addressed.



Academic Editor: W. Rudolf Seitz

Abstract 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. View Full-Text

Keywords: terahertz time-domain spectroscopy; wheat varieties; absorption spectrum; interval partial least squares terahertz time-domain spectroscopy; wheat varieties; absorption spectrum; interval partial least squares





Author: Hongyi Ge 1,2,* , Yuying Jiang 1,2, Feiyu Lian 3, Yuan Zhang 3 and Shanhong Xia 1,2

Source: http://mdpi.com/



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