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Feasibility study for the analysis of coconut water using fluorescence spectroscopy coupled with PARAFAC and SVM methods

Haiyang Gu (School of Bio and Food Engineering, Chuzhou University, Chuzhou, China)
Kaiqi Liu (School of Bio and Food Engineering, Chuzhou University, Chuzhou, China)
Xingyi Huang (School of Food and Biological Engineering, Jiangsu University, Zhenjiang, China)
Quansheng Chen (School of Food and Biological Engineering, Jiangsu University, Zhenjiang, China) (School of Bio and Food Engineering, Chuzhou University, Chuzhou, China)
Yanhui Sun (School of Bio and Food Engineering, Chuzhou University, Chuzhou, China)
Chin Ping Tan (Department of Food Technology, Faculty of Food Science and Technology, Universiti Putra Malaysia, Serdang, Malaysia) (School of Bio and Food Engineering, Chuzhou University, Chuzhou, China)

British Food Journal

ISSN: 0007-070X

Article publication date: 13 May 2020

Issue publication date: 5 October 2020

Abstract

Purpose

Parallel factor analysis (PARAFAC) coupled with support-vector machine (SVM) was carried out to identify and discriminate between the fluorescence spectroscopies of coconut water brands.

Design/methodology/approach

PARAFAC was applied to reduce three-dimensional data of excitation emission matrix (EEM) to two-dimensional data. SVM was applied to discriminate between six commercial coconut water brands in this study. The three largest variation data from fluorescence spectroscopy were extracted using the PARAFAC method as the input data of SVM classifiers.

Findings

The discrimination results of the six commercial coconut water brands were achieved by three SVM methods (Ga-SVM, PSO-SVM and Grid-SVM). The best classification accuracies were 100.00%, 96.43% and 94.64% for the training set, test set and CV accuracy.

Originality/value

The above results indicate that fluorescence spectroscopy combined with PARAFAC and SVM methods proved to be a simple and rapid detection method for coconut water and perhaps other beverages.

Keywords

Acknowledgements

This study was sponsored by the National Natural Science Foundation of China (31701685), the National Natural Science Foundation of China (31671932), the Program of Study Abroad for Young Scholar for Sponsored (gxgwfx2019061), science and technology program of chuzhou (2019ZN006).

Citation

Gu, H., Liu, K., Huang, X., Chen, Q., Sun, Y. and Tan, C.P. (2020), "Feasibility study for the analysis of coconut water using fluorescence spectroscopy coupled with PARAFAC and SVM methods", British Food Journal, Vol. 122 No. 10, pp. 3203-3212. https://doi.org/10.1108/BFJ-12-2019-0941

Publisher

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Emerald Publishing Limited

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