Advertisement

Optoelectronics Letters

, Volume 14, Issue 6, pp 452–456 | Cite as

Determination of Luzhou-flavor liquor ages by three-dimensional fluorescence spectroscopy combined with NMF

  • Chao-qun Ma (马超群)
  • Rui-yu Xu (徐瑞煜)
  • Guo-qing Chen (陈国庆)
  • Zhuo-wei Zhu (朱焯炜)
Article
  • 3 Downloads

Abstract

The determination of Luzhou-flavor liquor ages is carried out by three-dimensional fluorescence spectroscopy combined with non-negative matrix factorization (NMF). 37 samples of aged liquors with weighted ages of 15, 20 and 25 years were prepared by blending three Luzhou-flavor original base liquors with storage ages of 10, 20 and 30 years in different proportions. The fluorescence spectra of the samples were measured, and then factorized into basis matrix and coefficients matrix by multiplicative iterative NMF. The fluorescence spectra, reconstructed from the basis matrix, are similar to the original spectra. The coefficients matrix is taken as the input of support vector machine (SVM) to establish a prediction model for the determination of liquor ages. Compared with the principal component analysis, the prediction model based on SVM has a predicted accuracy better than 91.7%. This method can provide helps for the market supervision on the aged liquors.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    Yao F., Yi B., Shen C., Tao F., Liu Y., Lin Z. and Xu P., Scientific Reports 5, 9553 (2015).ADSCrossRefGoogle Scholar
  2. [2]
    Han S., Zhang W., Li X., Li P. and Liu J., Food Analytical Methods 9, 2194 (2016).CrossRefGoogle Scholar
  3. [3]
    Zhu S. M., Xu M. L., Ramaswamy H. S., Yang M. Y. and Yu Y., Scientific Reports 6, 30273 (2016).ADSCrossRefGoogle Scholar
  4. [4]
    Cheng P., Zhou W., Burr G. S., Fu Y., Fan Y. and Wu S., Scientific Reports 6, 38381 (2016).ADSCrossRefGoogle Scholar
  5. [5]
    Ding X., Wu C., Huang J. and Zhou R., Journal of Food Science 80, 2373 (2015).CrossRefGoogle Scholar
  6. [6]
    Ding X., Wu C., Huang J. and Zhou R., LWT–Food Science and Technology 66, 124 (2016).Google Scholar
  7. [7]
    Yang T., Li G. and Zhuang M., Liquor Making 35, 33 (2008).Google Scholar
  8. [8]
    Xu M. L., Yu Y., Ramaswamy H. S. and Zhu S. M., Scientific Reports 7, 39671 (2017).ADSCrossRefGoogle Scholar
  9. [9]
    Xu Z., Liquor–Making Science and Technology 2, 90 (2008).Google Scholar
  10. [10]
    Ma C., Chen G., Gao S., Chen C., Shi Y. and Gu L., Optoelectronics Letters 7, 158 (2011).ADSCrossRefGoogle Scholar
  11. [11]
    Zhu Z., Que L., Wu Y., Chen G., Xu R. and Zhu T., Chinese Journal of Lasers 42, 0615002 (2015). (in Chinese)CrossRefGoogle Scholar
  12. [12]
    Lee D. D., and Seung H. S., Learning the parts of objects by non–negative matrix factorization, Nature 401, 788 (1999).Google Scholar
  13. [13]
    Liu Y., Liao Y., Tang L., Tang F. and Liu W., Neurocomputing 173, 224 (2016).CrossRefGoogle Scholar
  14. [14]
    Guillamet D., Vitria J. and Schiele B., Pattern Recognition Letters 24, 2447 (2003).CrossRefGoogle Scholar
  15. [15]
    Hoyer P. O., Journal of Machine Learning Research 5, 1457 (2004).Google Scholar
  16. [16]
    Eggermont P. P. B., Linear Algebra and its Applications 130, 25 (1990).MathSciNetCrossRefGoogle Scholar
  17. [17]
    Kroonenberg P. M. and de Leeuw J., Psychometrika 45, 69 (1980).MathSciNetCrossRefGoogle Scholar
  18. [18]
    Zhang L. and Zhou W., Journal of Computational and Applied Mathematics 196, 478 (2006).ADSMathSciNetCrossRefGoogle Scholar
  19. [19]
    Cortes C., and Vapnik V., Support–vector networks, Machine Learning 20, 273 (1995).Google Scholar
  20. [20]
    Grimm K. J., Mazza G. L. and Davoudzadeh P., Structural Equation Modeling A Multidisciplinary Journal 24, 246 (2017).MathSciNetCrossRefGoogle Scholar

Copyright information

© Tianjin University of Technology and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Chao-qun Ma (马超群)
    • 1
  • Rui-yu Xu (徐瑞煜)
    • 1
  • Guo-qing Chen (陈国庆)
    • 1
  • Zhuo-wei Zhu (朱焯炜)
    • 1
  1. 1.Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, School of ScienceJiangnan UniversityWuxiChina

Personalised recommendations