Jujube species identification based on near infrared spectroscopy and PLS-DA

There are a variety of jujubes in Xinjang.It's necessary to pick out other varieties of jujubes in jujube processing.This research was conducted to attempt to discriminate jujube varieties by the method that near-infrared spectroscopy combined with partial least squares discriminant analysis ( PLS-DA) method. The discriminatory analysis models of jujube varieties was established by using first derivative ( FD) , the wavelength selection method of deviation analysis and partial least square discriminant analysis ( PLS-DA) .The experimental results showed that the correlation coefficient ( RP) of validation set predictions with the actual classification was greater than 0.92, the standard error of prediction ( RMSE) was less than 0.27.Finally, the model recognition rate for three varieties of Jun-jujube, Hui-jujube and Dong-jujube was 100%.The result offered theory evidences for the varieties identification of jujube in Xinjang.