红外与激光工程, 2017, 46 (11): 1125004, 网络出版: 2017-12-26   

基于太赫兹时域光谱技术与PCA-SVM的转基因大豆油鉴别研究

Recognition of transgenic soybean oil based on terahertz time-domain spectroscopy and PCA-SVM
作者单位
1 桂林电子科技大学 电子工程与自动化学院, 广西 桂林 541004
2 广西高校光电信息处理重点实验室, 广西 桂林 541004
摘要
太赫兹时域光谱(THz-TDS)技术是基于飞秒超快激光技术的 THz 波段光谱测量新技术, 具有较强的光谱分辨本领以及良好的透视性和安全性, 在物质检测方面具有广泛的应用价值。文中在采用太赫兹时域光谱技术对转基因大豆油光谱检测的基础上结合主成分分析方法(PCA)及支持向量机(SVM), 构建PCA-SVM模型对转基因大豆油进行鉴别。首先, 从样品在太赫兹波段测得的时域光谱中得到其吸光度光谱; 然后, 将其作为输入源导入PCA-SVM模型中, 剔除冗余数据、降低数据维数并鉴别。实验结果表明, 所建立的PCA-SVM模型能准确识别校验集, 可以准确地对转基因大豆油进行鉴别。研究结果表明: 太赫兹时域光谱技术可以实现转基因大豆油的快速、无损检测, 在食品安全领域有广泛的应用前景。
Abstract
Terahertz time-domain spectroscopy(THz-TDS) is a new spectroscopic measurement technique based on ultra-fast femtosecond laser technology. THz-TDS technology has been applicated in material detection widely due to its good penetration and safety. In this paper, a method of indentifying transgenic soybean oil with THz-TDS technology was proposed. The methods of the Principle Component Analysis(PCA) and Support Vector Machine(SVM) were based on spectral analysis in the terahertz(THz) range. First, the absorbance spectrum was extracted from the original THz time-domain spectra data of the sample, and then imported into the model of PCA-SVM as an input source import. The utilization of the dimension-reduced data in PCA-SVM model can recognize the validation set accurately, and the transgenic soybeans can be accurately identified. The research results show that THz-TDS technology can identify the transgenic soybeans rapidly and nondestructively, and which could be widely applied in field of food safety inspection.

张文涛, 李跃文, 占平平, 熊显名. 基于太赫兹时域光谱技术与PCA-SVM的转基因大豆油鉴别研究[J]. 红外与激光工程, 2017, 46(11): 1125004. Zhang Wentao, Li Yuewen, Zhan Pingping, Xiong Xianming. Recognition of transgenic soybean oil based on terahertz time-domain spectroscopy and PCA-SVM[J]. Infrared and Laser Engineering, 2017, 46(11): 1125004.

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