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基于太赫兹光谱技术与CS-SVM的转基因产品鉴别

Discrimination of GMOs Using Terahertz Spectroscopy and CS-SVM

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摘要

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2 THz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。

Abstract

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.

Newport宣传-MKS新实验室计划
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中图分类号:O433

DOI:10.3964/j.issn.1000-0593(2017)02-0618-06

基金项目:the National Natural Science Foundation of China (11574059); partly supported by the Guangxi Natural Science Foundation (2015GXNSFBA139252); and partly supported by the program (YQ15104) from Guangxi Key Laboratory of Automatic Detecting Technology and Instruments

收稿日期:2016-03-23

修改稿日期:2016-07-01

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作者单位    点击查看

陈 涛:广西自动检测技术与仪器重点实验室, 桂林电子科技大学电子工程与自动化学院, 广西 桂林 541004
李 智:广西自动检测技术与仪器重点实验室, 桂林电子科技大学电子工程与自动化学院, 广西 桂林 541004
胡放荣:广西自动检测技术与仪器重点实验室, 桂林电子科技大学电子工程与自动化学院, 广西 桂林 541004
殷贤华:广西自动检测技术与仪器重点实验室, 桂林电子科技大学电子工程与自动化学院, 广西 桂林 541004
许川佩:广西自动检测技术与仪器重点实验室, 桂林电子科技大学电子工程与自动化学院, 广西 桂林 541004

联系人作者:陈涛(tchen@guet.edu.cn)

备注:CHEN Tao, (1984—), received Ph. D. degree in Measuring and Testing Technologies and Instruments from Xidian Unversity

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引用该论文

CHEN Tao,LI Zhi,HU Fang-rong,YIN Xian-hua,XU Chuan-pei. Discrimination of GMOs Using Terahertz Spectroscopy and CS-SVM[J]. Spectroscopy and Spectral Analysis, 2017, 37(2): 618-623

陈 涛,李 智,胡放荣,殷贤华,许川佩. 基于太赫兹光谱技术与CS-SVM的转基因产品鉴别[J]. 光谱学与光谱分析, 2017, 37(2): 618-623

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