3D Fluorescence Spectra Combined with Tchebichef Moments for Rapid Identification of Doping Sesame Oil

PAN Zhao; CUI Yao-yao; WU Xi-jun; LIU Ting-ting; YUAN Yuan-yuan

doi:10.3788/fgxb20183904.0568

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3D Fluorescence Spectra Combined with Tchebichef Moments for Rapid Identification of Doping Sesame Oil

更新时间：2020-08-12

- 3D Fluorescence Spectra Combined with Tchebichef Moments for Rapid Identification of Doping Sesame Oil
- Chinese Journal of Luminescence Vol. 39, Issue 4, Pages: 568-572(2018)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
  
  Supported by National Natural Science Foundation of China(61471312,11674275,11601469
- DOI：10.3788/fgxb20183904.0568
  CLC： O433.4
- Received：24 July 2017，
  
  Revised：19 October 2017，
  
  Published Online：15 November 2017，
  
  Published：05 April 2018
- 稿件说明：
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潘钊, 崔耀耀, 吴希军等. 三维荧光光谱结合Tchebichef矩快速鉴别掺伪芝麻油[J]. 发光学报, 2018,39(4): 568-572

PAN Zhao, CUI Yao-yao, WU Xi-jun etc. 3D Fluorescence Spectra Combined with Tchebichef Moments for Rapid Identification of Doping Sesame Oil[J]. Chinese Journal of Luminescence, 2018,39(4): 568-572
潘钊, 崔耀耀, 吴希军等. 三维荧光光谱结合Tchebichef矩快速鉴别掺伪芝麻油[J]. 发光学报, 2018,39(4): 568-572 DOI： 10.3788/fgxb20183904.0568.

PAN Zhao, CUI Yao-yao, WU Xi-jun etc. 3D Fluorescence Spectra Combined with Tchebichef Moments for Rapid Identification of Doping Sesame Oil[J]. Chinese Journal of Luminescence, 2018,39(4): 568-572 DOI： 10.3788/fgxb20183904.0568.

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

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。

Abstract

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.

-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.

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references

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