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 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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2015 |
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| Erschienen: |
2015 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:15 |
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| Enthalten in: |
Sensors (Basel, Switzerland) - 15(2015), 6 vom: 27. Mai, Seite 12560-72 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Ge, Hongyi [VerfasserIn] |
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| Links: |
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| Themen: |
Absorption spectrum |
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| Anmerkungen: |
Date Completed 30.11.2015 Date Revised 13.11.2018 published: Electronic Citation Status MEDLINE |
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| doi: |
10.3390/s150612560 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM249473240 |
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| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
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| 650 | 4 | |a interval partial least squares | |
| 650 | 4 | |a terahertz time-domain spectroscopy | |
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| 700 | 1 | |a Jiang, Yuying |e verfasserin |4 aut | |
| 700 | 1 | |a Lian, Feiyu |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Yuan |e verfasserin |4 aut | |
| 700 | 1 | |a Xia, Shanhong |e verfasserin |4 aut | |
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