Application of terahertz spectroscopy imaging for discrimination of transgenic rice seeds with chemometrics

文献类型： 外文期刊

第一作者： Liu, Wei

作者： Liu, Wei;Liu, Changhong;Hu, Xiaohua;Yang, Jianbo;Zheng, Lei;Liu, Wei;Yang, Jianbo;Zheng, Lei

作者机构：

关键词： Terahertz spectroscopy imaging;Rice seed;Transgenic;Non-destructive determination;Chemometrics

期刊名称：FOOD CHEMISTRY （ 影响因子：7.514； 五年影响因子：7.516 ）

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： Discrimination of genetically modified organisms is increasingly demanded by legislation and consumers worldwide. The feasibility of a non-destructive discrimination of transgenic rice seeds from its non-transgenic counterparts was examined by terahertz spectroscopy imaging system combined with chemometrics. Principal component analysis (PCA), least squares support vector machines (LS-SVM), PCA-back propagation neural network (PCA-BPNN), and random forest (RF) models with the first and second derivative and standard normal variate transformation (SNV) pre-treatments were applied to classify rice seeds based on genotype. The results demonstrated that differences between non-transgenic and transgenic rice seeds did exist, and an excellent classification (accuracy was 96.67% in the prediction set) could be achieved using the RF model combined with the first derivative pre-treatment. The results indicated that THz spectroscopy imaging together with chemometrics would be a promising technique to identify transgenic rice seeds with high efficiency and without any sample preparation. (C) 2016 Elsevier Ltd. All rights reserved.

分类号： TS2`TS201.2

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