Detection of Genetically Modified Sugarcane by Using Terahertz Spectroscopy and Chemometrics

作者：Liu, J.^*; Xie, H.; Zha, B.; Ding, W.; Luo, J.; Hu, C.

来源：Journal of Applied Spectroscopy, 2018, 85(1): 119-125.

DOI：10.1007/s10812-018-0621-9

• terahertz spectroscopy
• genetically modified
• spectroscopy
• chemometrics

A methodology is proposed to identify genetically modified sugarcane from non-genetically modified sugarcane by using terahertz spectroscopy and chemometrics techniques, including linear discriminant analysis (LDA), support vector machine-discriminant analysis (SVM-DA), and partial least squares-discriminant analysis (PLS-DA). The classification rate of the above mentioned methods is compared, and different types of preprocessing are considered. According to the experimental results, the best option is PLS-DA, with an identification rate of 98%. The results indicated that THz spectroscopy and chemometrics techniques are a powerful tool to identify genetically modified and non-genetically modified sugarcane.

• 出版日期2018-3
• 单位西南大学; 桂林电子科技大学; 九江学院