您好，欢迎访问安徽省农业科学院 机构知识库！

Discrimination of transgenic soybean seeds by terahertz spectroscopy

文献类型： 外文期刊

作者： Liu, Wei 1 ; Liu, Changhong 1 ; Chen, Feng 3 ; Yang, Jianbo 4 ; Zheng, Lei 1 ;

作者机构： 1.Hefei Univ Technol, Sch Biotechnol & Food Engn, Hefei 230009, Peoples R China

2.Hefei Univ, Intelligent Control & Compute Vis Lab, Hefei 230601, Peoples R China

3.Clemson Univ, Dept Food Nutr & Packaging Sci, Clemson, SC 29634 USA

4.Anhui Acad Agr Sci, Rice Res Inst, Hefei 230031, Peoples R China

5.Hefei Univ Technol, Sch Med Engn, Hefei 230009, Peoples R China

期刊名称：SCIENTIFIC REPORTS （ 影响因子：4.379； 五年影响因子：5.133 ）

ISSN： 2045-2322

年卷期： 2016 年 6 卷

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 glyphosate-resistant and conventional soybean seeds and their hybrid descendants was examined by terahertz time-domain spectroscopy system combined with chemometrics. Principal component analysis (PCA), least squares-support vector machines (LS-SVM) and PCA-back propagation neural network (PCA-BPNN) models with the first and second derivative and standard normal variate (SNV) transformation pre-treatments were applied to classify soybean seeds based on genotype. Results demonstrated clear differences among glyphosate-resistant, hybrid descendants and conventional non-transformed soybean seeds could easily be visualized with an excellent classification (accuracy was 88.33% in validation set) using the LS-SVM and the spectra with SNV pre-treatment. The results indicated that THz spectroscopy techniques together with chemometrics would be a promising technique to distinguish transgenic soybean seeds from non-transformed seeds with high efficiency and without any major sample preparation.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：安徽省农业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台