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Identification of Geographical Origins of Wheat with Discriminant Analysis by Near Infrared Spectroscopy

ZHAO Hai-yan, GUO Bo-li, WEI Yi-min, ZHANG Bo, SUN Shu-min, YAN Jun-hui, ZHANG Lei   

  1. Institute of Agro-Food Science & Technology, Chinese Academy of Agricultural Sciences/Key Laboratory of Agricultural Product Processing and Quality Control, Ministry of Agriculture, Beijing 100193
  • Received:2010-09-09 Online:2011-04-02 Published:2011-01-21

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Abstract: 【Objective】 A new method was developed for identification of the geographical origins of wheat with discriminant analysis by near infrared reflectance spectroscopy (NIRS). 【Method】A total of 240 wheat kernel samples collected in 2007-2008 and 2008-2009 from Hebei, Henan, Shandong and Shaanxi provinces of China were analyzed by NIRS. After normalization, first derivative and multiplicative scattering correction (MSC) pre-treatment of wheat kernel spectral data, discriminant partial least squares analysis (DPLS) was applied to classify the geographical origins of these samples. 【Result】 There were 87.5% and 91.7% of wheat kernel samples collected in 2007-2008 and 2008-2009 were correctly classified respectively, the total correct classification of 48.3% was achieved by DPLS models developed using the samples collected in 2007-2008 harvest period to predict the geographical origin of the samples collected in 2008-2009 harvest period, and 82.5% were correctly classified by DPLS models developed using 2/3 of the total sample set to test the remaining 1/3 of the samples. 【Conclusion】There are significant differences among near infrared spectra of wheat from different origins which are influenced mainly by the varieties and annual changes, and the stability of DPLS models developed has to be improved further.

Key words: wheat , geographical origin , NIRS , DPLS

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