中文摘要：太赫兹光谱与化学计量学相结合已被证明是一种识别转基因玉米油有用的工具。本文收集了转基因和非转基因玉米油的太赫兹数据和物理化学数据，构建了两种偏最小二乘判别分析（PLS-DA）的识别模型，并分别用太赫兹光谱数据和物理化学数据进行比较。研究发现，使用的物理化学数据PLS-DA模型不能准确地区分转基因和非转基因玉米油；而使用太赫兹光谱数据的PLS-DA模型可准确地识别转基因玉米油。本文提出的方法具有快速、简单、无损、易于操作的优点。研究结果表明，太赫兹光谱与化学计量学相结合可作为识别转基因油的强大工具。
外文摘要：Terahertz spectroscopy coupled with chemometrics is illustrated to be a useful tool to identify the transgenic corn oil. Terahertz and physicochemical data are gather about transgenic and non-transgenic corn oils. The two identification models of partial least squares discriminate analyses (PLS-DA) are established and compared by using terahertz spectroscopy data and physicochemical data respectively. The result shows that PLS-DA model with physicochemical data can not accurately distinguish between transgenic and non-transgenic corn oils. Quite the contrary, the PLS-DA model with terahertz spectroscopy data is better in the validation set; this model accurately identified transgenic corn oil with accuracy of 98.7%. The proposed method has advantages of fast, simple, nondestructive, and easy to operate. The results indicated that Terahertz spectroscopy coupled with chemometrics as a powerful tool to identify transgenic oil.
外文关键词：terahertz; transgenic; spectroscopy; classification; chemometrics
作者：Liu, Jianjun
作者单位：Jiujiang Univ
期刊名称：MICROWAVE AND OPTICAL TECHNOLOGY LETTERS
期刊影响因子：0.545
出版年份：2017
出版刊次：3
点击下载：转基因玉米食用油的太赫兹光谱与化学计量学分类研究