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作 者:潘钊[1] 崔耀耀 吴希军[1] 刘婷婷 苑媛媛 PAN Zhao;CUI Yao-yao;WU Xi-jun;LIU Ting-ting;YUAN Yuan-yuan(Key Lab of Measurement Technology and Instrumentation of Hebei Province,Yanshan University,Qinhuangdao 066004,China;College of Information Science and Engineering,Yanshan University,Qinhuangdao 066004,China)
机构地区:[1]燕山大学测试计量技术及仪器河北省重点实验室,河北秦皇岛066004 [2]燕山大学信息科学与工程学院,河北秦皇岛066004
出 处:《发光学报》2018年第4期568-572,共5页Chinese Journal of Luminescence
基 金:国家自然科学基金(61471312;11674275;11601469);河北省自然科学基金(F2015203072;F2016203282;C2014203212);燕山大学基础研究专项课题(16LGA008)资助项目~~
摘 要:应用FS920荧光光谱仪测定样品的三维荧光光谱数据,直接利用Tchebichef矩提取三维光谱灰度图的特征信息,然后对其进行聚类分析,最后通过逐步回归建立样本中各成分的线性模型。聚类分析能够准确识别掺伪芝麻油,并正确解析其组成成分,得到的线性模型相关系数R>0.99。研究表明,Tchebichef矩能够有效提取光谱的特征信息,应用于掺伪芝麻油鉴别可获得良好的定性和定量分析结果。The three-dimensional fluorescence spectra of the samples were measured by FS920 fluorescence spectrometer,and the characteristic information of three-dimensional spectral grayscale was extracted directly by Tchebichef moments.And then,the cluster analysis was carried out.Finally,a linear model of each component in the sample was established by the stepwise regression.Clustering analysis can identify doping sesame oil with a high recognition rate and can correctly analyze its constituent components.R-squared of the obtained linear model is greater than 0.99.The results show that Tchebichef moments can effectively extract the characteristic information of the spectrum and can be used to identify the doping sesame oil and obtain good qualitative and quantitative analysis results.
关 键 词:三维荧光光谱 TCHEBICHEF矩 聚类分析 定量分析 掺伪鉴别
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