Determination of transgenic organisms from non-transgenic using terahertz spectroscopy and chemometrics

A methodology is proposed to identify transgenic sugar beet from non-transgenic ones by using terahertz spectroscopy combined with chemometric techniques in this paper. Principal component analysis (PCA) is applied to reduce the dimension and extract the feature spectrum of original spectral information. instead of original spectral information, the characteristic spectrum is selected to fed into the model of weighted linear discriminate analysis (WLDA)which an improved linear discriminate analysis method. The experimental results indicates that the terahertz spectroscopy coupled to PCA-WLDA can provide a rapid, nondestructive and reliable method to distinguish transgenic and non-transgenic sugar beets.