Cover Image

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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Gu, Haiyang, Liu, Kaiqi, Huang, Xingyi, Chen, Quansheng, Sun, Yanhui, Tan, Chin Ping
Format: Article
Language:English
Published: Emerald 2020
Online Access:http://psasir.upm.edu.my/id/eprint/89008/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/89008/
https://www.emerald.com/insight/content/doi/10.1108/BFJ-12-2019-0941/full/html
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.89008
record_format eprints
spelling my.upm.eprints.890082021-11-01T21:47:42Z http://psasir.upm.edu.my/id/eprint/89008/ Feasibility study for the analysis of coconut water using fluorescence spectroscopy coupled with PARAFAC and SVM methods Gu, Haiyang Liu, Kaiqi Huang, Xingyi Chen, Quansheng Sun, Yanhui Tan, Chin Ping 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. Emerald 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/89008/1/ABSTRACT.pdf Gu, Haiyang and Liu, Kaiqi and Huang, Xingyi and Chen, Quansheng and Sun, Yanhui and Tan, Chin Ping (2020) Feasibility study for the analysis of coconut water using fluorescence spectroscopy coupled with PARAFAC and SVM methods. British Food Journal, 122 (10). 3203 - 3212. ISSN 0007-070X https://www.emerald.com/insight/content/doi/10.1108/BFJ-12-2019-0941/full/html 10.1108/BFJ-12-2019-0941
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description 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.
format Article
author Gu, Haiyang
Liu, Kaiqi
Huang, Xingyi
Chen, Quansheng
Sun, Yanhui
Tan, Chin Ping
spellingShingle Gu, Haiyang
Liu, Kaiqi
Huang, Xingyi
Chen, Quansheng
Sun, Yanhui
Tan, Chin Ping
Feasibility study for the analysis of coconut water using fluorescence spectroscopy coupled with PARAFAC and SVM methods
author_facet Gu, Haiyang
Liu, Kaiqi
Huang, Xingyi
Chen, Quansheng
Sun, Yanhui
Tan, Chin Ping
author_sort Gu, Haiyang
title Feasibility study for the analysis of coconut water using fluorescence spectroscopy coupled with PARAFAC and SVM methods
title_short Feasibility study for the analysis of coconut water using fluorescence spectroscopy coupled with PARAFAC and SVM methods
title_full Feasibility study for the analysis of coconut water using fluorescence spectroscopy coupled with PARAFAC and SVM methods
title_fullStr Feasibility study for the analysis of coconut water using fluorescence spectroscopy coupled with PARAFAC and SVM methods
title_full_unstemmed Feasibility study for the analysis of coconut water using fluorescence spectroscopy coupled with PARAFAC and SVM methods
title_sort feasibility study for the analysis of coconut water using fluorescence spectroscopy coupled with parafac and svm methods
publisher Emerald
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/89008/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/89008/
https://www.emerald.com/insight/content/doi/10.1108/BFJ-12-2019-0941/full/html
_version_ 1717095419938340864
score 13.211869

Similar Items