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 0.2 and 1.2 THz. 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.
Guang pu xue yu guang pu fen xi = Guang pu. 2017 Feb;37(2):618-23. Q40.72024
Discrimination of GMOs Using Terahertz Spectroscopy and CS-SVM
基于太赫兹光谱和CS-SVM的转基因识别方法 翻译改进
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PMID: 30292182
摘要 Ai翻译
Keywords：terahertz spectroscopy; gmo discrimination; cs-svm
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