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.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
References
Yao F., Yi B., Shen C., Tao F., Liu Y., Lin Z. and Xu P., Scientific Reports 5, 9553 (2015).
Han S., Zhang W., Li X., Li P. and Liu J., Food Analytical Methods 9, 2194 (2016).
Zhu S. M., Xu M. L., Ramaswamy H. S., Yang M. Y. and Yu Y., Scientific Reports 6, 30273 (2016).
Cheng P., Zhou W., Burr G. S., Fu Y., Fan Y. and Wu S., Scientific Reports 6, 38381 (2016).
Ding X., Wu C., Huang J. and Zhou R., Journal of Food Science 80, 2373 (2015).
Ding X., Wu C., Huang J. and Zhou R., LWT–Food Science and Technology 66, 124 (2016).
Yang T., Li G. and Zhuang M., Liquor Making 35, 33 (2008).
Xu M. L., Yu Y., Ramaswamy H. S. and Zhu S. M., Scientific Reports 7, 39671 (2017).
Xu Z., Liquor–Making Science and Technology 2, 90 (2008).
Ma C., Chen G., Gao S., Chen C., Shi Y. and Gu L., Optoelectronics Letters 7, 158 (2011).
Zhu Z., Que L., Wu Y., Chen G., Xu R. and Zhu T., Chinese Journal of Lasers 42, 0615002 (2015). (in Chinese)
Lee D. D., and Seung H. S., Learning the parts of objects by non–negative matrix factorization, Nature 401, 788 (1999).
Liu Y., Liao Y., Tang L., Tang F. and Liu W., Neurocomputing 173, 224 (2016).
Guillamet D., Vitria J. and Schiele B., Pattern Recognition Letters 24, 2447 (2003).
Hoyer P. O., Journal of Machine Learning Research 5, 1457 (2004).
Eggermont P. P. B., Linear Algebra and its Applications 130, 25 (1990).
Kroonenberg P. M. and de Leeuw J., Psychometrika 45, 69 (1980).
Zhang L. and Zhou W., Journal of Computational and Applied Mathematics 196, 478 (2006).
Cortes C., and Vapnik V., Support–vector networks, Machine Learning 20, 273 (1995).
Grimm K. J., Mazza G. L. and Davoudzadeh P., Structural Equation Modeling A Multidisciplinary Journal 24, 246 (2017).
Author information
Authors and Affiliations
Corresponding author
Additional information
This work has been supported by the National Natural Science Foundation of China (No.61378037), the Fundamental Research Funds for the Central Universities (Nos.JUSRP51628B and 1142050205180920), and the National First-class Discipline Program of Food Science and Technology (No.JUFSTR20180302).
Rights and permissions
About this article
Cite this article
Ma, Cq., Xu, Ry., Chen, Gq. et al. Determination of Luzhou-flavor liquor ages by three-dimensional fluorescence spectroscopy combined with NMF. Optoelectron. Lett. 14, 452–456 (2018). https://doi.org/10.1007/s11801-018-8123-9
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11801-018-8123-9