Characterization of Wheat Varieties Using Terahertz Time-Domain Spectroscopy

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 d...

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Detalles Bibliográficos
Autores principales: Ge, Hongyi, Jiang, Yuying, Lian, Feiyu, Zhang, Yuan, Xia, Shanhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507591/
https://www.ncbi.nlm.nih.gov/pubmed/26024421
http://dx.doi.org/10.3390/s150612560
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author Ge, Hongyi
Jiang, Yuying
Lian, Feiyu
Zhang, Yuan
Xia, Shanhong
author_facet Ge, Hongyi
Jiang, Yuying
Lian, Feiyu
Zhang, Yuan
Xia, Shanhong
author_sort Ge, Hongyi
collection PubMed
description 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.
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spelling pubmed-45075912015-07-22 Characterization of Wheat Varieties Using Terahertz Time-Domain Spectroscopy Ge, Hongyi Jiang, Yuying Lian, Feiyu Zhang, Yuan Xia, Shanhong Sensors (Basel) Article 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. MDPI 2015-05-27 /pmc/articles/PMC4507591/ /pubmed/26024421 http://dx.doi.org/10.3390/s150612560 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ge, Hongyi
Jiang, Yuying
Lian, Feiyu
Zhang, Yuan
Xia, Shanhong
Characterization of Wheat Varieties Using Terahertz Time-Domain Spectroscopy
title Characterization of Wheat Varieties Using Terahertz Time-Domain Spectroscopy
title_full Characterization of Wheat Varieties Using Terahertz Time-Domain Spectroscopy
title_fullStr Characterization of Wheat Varieties Using Terahertz Time-Domain Spectroscopy
title_full_unstemmed Characterization of Wheat Varieties Using Terahertz Time-Domain Spectroscopy
title_short Characterization of Wheat Varieties Using Terahertz Time-Domain Spectroscopy
title_sort characterization of wheat varieties using terahertz time-domain spectroscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507591/
https://www.ncbi.nlm.nih.gov/pubmed/26024421
http://dx.doi.org/10.3390/s150612560
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AT jiangyuying characterizationofwheatvarietiesusingterahertztimedomainspectroscopy
AT lianfeiyu characterizationofwheatvarietiesusingterahertztimedomainspectroscopy
AT zhangyuan characterizationofwheatvarietiesusingterahertztimedomainspectroscopy
AT xiashanhong characterizationofwheatvarietiesusingterahertztimedomainspectroscopy

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