{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T11:05:40Z","timestamp":1771067140539,"version":"3.50.1"},"reference-count":28,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2015,5,27]],"date-time":"2015-05-27T00:00:00Z","timestamp":1432684800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s150612560","type":"journal-article","created":{"date-parts":[[2015,5,27]],"date-time":"2015-05-27T10:33:55Z","timestamp":1432722835000},"page":"12560-12572","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Characterization of Wheat Varieties Using Terahertz  Time-Domain Spectroscopy"],"prefix":"10.3390","volume":"15","author":[{"given":"Hongyi","family":"Ge","sequence":"first","affiliation":[{"name":"State Key Laboratory of Transducer Technology, Institute of Electronics,  Chinese Academy of Sciences, Beijing 100080, China"},{"name":"University of the Chinese Academy of Sciences, Beijing 100080, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuying","family":"Jiang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Transducer Technology, Institute of Electronics,  Chinese Academy of Sciences, Beijing 100080, China"},{"name":"University of the Chinese Academy of Sciences, Beijing 100080, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feiyu","family":"Lian","sequence":"additional","affiliation":[{"name":"Key Laboratory of Grain Information Processing & Control, Ministry of Education,  Zhengzhou 450001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Grain Information Processing & Control, Ministry of Education,  Zhengzhou 450001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shanhong","family":"Xia","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Transducer Technology, Institute of Electronics,  Chinese Academy of Sciences, Beijing 100080, China"},{"name":"University of the Chinese Academy of Sciences, Beijing 100080, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2015,5,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1007\/s00217-011-1573-y","article-title":"Discrimination of wheat grain varieties using image analysis: Morphological features","volume":"233","author":"Zapotoczny","year":"2011","journal-title":"Eur. 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