基于太赫兹光谱技术与CS-SVM的转基因产品鉴别（英文）

Discrimination of GMOs Using Terahertz Spectroscopy and CS-SVM

提出了一种基于太赫兹(THz)光谱技术以及布谷鸟搜索(CS)算法优化支持向量机(SVM)的有效的转基因产品鉴别方法(CS-SVM)。实验采用太赫兹时域光谱(THz-TDS)系统测量了三种转基因大豆种子及其亲本样品在0.2~1.2THz波段的THz光谱,并采用SVM方法对转基因和非转基因大豆种子进行了分类鉴别研究,其中SVM的两个重要参数(惩罚因子和核参数)采用CS算法进行优化。实验结果表明,应用THz光谱技术结合CS-SVM方法为转基因和非转基因生物的检测和识别提供了一种快速、无损和可靠的分析方法。

This paper develops an effective identification method to discriminate genetically modified（GM）and non-GM organisms.The method is proposed based on terahertz（THz）spectroscopy and support vector machines optimized by Cuckoo Search algorithm（CS-SVM）.In this study,the THz spectra of three GM and non-GM soya seed samples were obtained by using terahertz time-domain spectroscopy（THz-TDS）system between 0.2and 1.2THz.Then,the SVM model is employed to distinguish GM and non-GM soya seeds,in which the two crucial parameters,including the penalty factor and kernel parameter,are optimized by CS algorithm.The experimental results show that THz spectroscopy combined with CS-SVM can provide a rapid,reliable and non-invasive method for GMOs and non-GMOs discrimination.