太赫兹时域光谱检测谷粒中储粮害虫的研究  

Detection of Pests During Grain Storage by Using Terahertz Time- Domain Spectroscopy

作　　者：谭佐军[1] 陈阳[2] 谢静[1] 蔡万伦[3] 石舒宁 

机构地区：[1]华中农业大学理学院,武汉430070 [2]华中农业大学工学院,武汉430070 [3]华中农业大学植物科技学院,武汉430070

出　　处：《中国粮油学报》2015年第6期125-129,共5页Journal of the Chinese Cereals and Oils Association

基　　金：国家自然科学基金(31000848);中央高校基本科研业务费专项(2014QC013)

摘　　要：快捷方便检测粮粒中是否有储粮害虫及其种类,对储粮害虫虫情调查和监测,实现粮库中储粮害虫的准确检测和口岸害虫快速检测检疫具有重要实践意义。本研究以最主要的初期性害虫玉米象为例,对玉米象、谷壳、米粉样品进行了太赫兹时域光谱测试,获得了样品在0.2-1.6THz波段的折射率和吸收光谱,分析了这些样品的特征吸收谱,并利用PLS-DA 方法对含有玉米象和不含玉米象的谷粒样品的太赫兹光谱进行鉴别分析,结果表明用0.2-1.6THz范围内的THz吸收光谱结合PLS-DA方法对校正样本建立判别模型,其校正和验证结果与实际分类变量的相关性高,交叉验证均方根误差（RMSECV）和预测均方根误差（RMSEP）都小于0.150,建立的PLS-DA分类模型对检测样本的判别准确率为100%,为检测粮粒中是否有储粮害虫提供快速方便的鉴别分析方法。Detecting the stored sects quickly and accurately are very - product insects in the grain kernels and determining the species of these insignificant to survey and monitor the tant practical significance in the accurate detection of pests in food wareho damage by the pest. It also has an imporuse and the rapid detection of pests in import and export ports. The Sitophilus zeamais （ S. zeamais） , a common stored grain insect associated with food - pro- cessing facilities worldwide was used as the test insect in this study. The study involved identification of 0.2 - 1.6 THz absorption characteristics and refractive indices of S. zeamais, chaff flour, rice flour and mixtures of them by terahertz time- domain spectroscopy （THz- TDS）. The absorption characteristics of these samples （S. zeamais, chaff flour and rice flour） were analyzed. Partial least- squares discriminate analysis （PLS- DA） was applied to classify the healthy grain powder and the grain powder mixed with different concentration S. zeamais into two groups. The results demonstrated that the calibration and prediction results were highly correlated to the real classification variables by using of the discrimination model, which was built by PLS - DA method and the absorption spectrum in the region of 0.2 - 1.6 THz. The root mean square error of calibration （RESECV） and root mean square error of cross - validation （RESEP） were both less than 0. 150. The correct classifications were 100% by building PLS - DA discrimination model. This study provided a rapid and convenient method to detect the insect -damaged grain kernels.

关 键 词：太赫兹 光谱 储粮害虫 偏最小二乘法判别 

分 类 号：TQ247[化学工程—有机化工]