Journal of Applied Spectroscopy

, Volume 85, Issue 1, pp 119–125 | Cite as

Detection of Genetically Modified Sugarcane by Using Terahertz Spectroscopy and Chemometrics

  • J. Liu
  • H. Xie
  • B. Zha
  • W. Ding
  • J. Luo
  • C. Hu

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.


terahertz spectroscopy genetically modified spectroscopy chemometrics 


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • J. Liu
    • 1
    • 3
  • H. Xie
    • 2
  • B. Zha
    • 2
  • W. Ding
    • 2
  • J. Luo
    • 2
  • C. Hu
    • 3
  1. 1.College of Food ScienceSouthwest UniversityChongqingChina
  2. 2.School of Electrical EngineeringJiujiang UniversityJiujiangChina
  3. 3.Guilin University of Electronic Technology, Guangxi Key Laboratory of Automatic Detecting Technology and InstrumentGuangxiChina

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