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Comparison of Fourier Transform Near-Infrared, Visible Near-Infrared, Mid-Infrared, and Raman Spectroscopy as Non-Invasive Tools for Transgenic Rice Discrimination

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Transactions of the ASABE. 57(1): 141-150. (doi: 10.13031/trans.57.10363) @2014
Authors:   Wendao Xu, Xiangjiang Liu, Lijuan Xie, Yibin Ying
Keywords:   Chemometrics, Discrimination, Spectroscopy, Transgenic rice.

Abstract. Spectroscopic techniques combined with multivariate analysis have been proven to be effective tools for the discrimination of objects with similar properties. In this work, a comparison of various spectroscopic techniques for identifying genetically modified organisms (GMOs) was performed, including Fourier transform near-infrared (FT-NIR), visible near-infrared (VIS-NIR), mid-infrared (MIR), and Raman spectroscopy. Transgenic rice (Huahui-1) and its parent (Minghui 63) were chosen as subjects in this study. The obtained spectra were analyzed using three common chemometrics methods: principal component analysis (PCA), partial least squares discriminant analysis (PLSDA), and discriminant analysis (DA). The highest classification accuracy (100%) was obtained using Raman (applying PLSDA model) and VIS-NIR (applying DA and PLSDA model) spectroscopy. The accuracies obtained by MIR and FT-NIR reached 96.7% (using DA model) and 95.7% (using PLSDA model), respectively. These results indicate that FT-NIR, VIS-NIR, Raman, and MIR spectroscopy together with chemometrics methods could be effective in differentiating transgenic rice.

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