LAUSR

Terahertz spectroscopy coupled with chemometrics is illustrated to be a useful tool to identify the transgenic corn oil. Terahertz and physicochemical data are gather about transgenic and non-transgenic corn oils. The two identification models of partial least squares discriminate analyses (PLS-DA) are established and compared by using terahertz spectroscopy data and physicochemical data respectively. The result shows that PLS-DA model with physicochemical data can not accurately distinguish between transgenic and non-transgenic corn oils. Quite the contrary, the PLS-DA model with terahertz spectroscopy data is better in the validation set; this model accurately identified transgenic corn oil with accuracy of 98.7%. The proposed method has advantages of fast, simple, nondestructive, and easy to operate. The results indicated that Terahertz spectroscopy coupled with chemometrics as a powerful tool to identify transgenic oil. © 2017 Wiley Periodicals, Inc. Microwave Opt Technol Lett 59:654–658, 2017