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Fast Classification of Geographical Origins of Honey Based on Laser-Induced Breakdown Spectroscopy and Multivariate Analysis

Traceability of honey is highly required by consumers and food administration with the consideration of food safety and quality. In this study, a technique named laser-induced breakdown spectroscopy (LIBS) was used to fast trace geographical origins of acacia honey and multi-floral honey. LIBS emiss...

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Detalles Bibliográficos
Autores principales: Zhao, Zhangfeng, Chen, Lun, Liu, Fei, Zhou, Fei, Peng, Jiyu, Sun, Minghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181300/
https://www.ncbi.nlm.nih.gov/pubmed/32231046
http://dx.doi.org/10.3390/s20071878
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author Zhao, Zhangfeng
Chen, Lun
Liu, Fei
Zhou, Fei
Peng, Jiyu
Sun, Minghua
author_facet Zhao, Zhangfeng
Chen, Lun
Liu, Fei
Zhou, Fei
Peng, Jiyu
Sun, Minghua
author_sort Zhao, Zhangfeng
collection PubMed
description Traceability of honey is highly required by consumers and food administration with the consideration of food safety and quality. In this study, a technique named laser-induced breakdown spectroscopy (LIBS) was used to fast trace geographical origins of acacia honey and multi-floral honey. LIBS emissions from elements of Mg, Ca, Na, and K had significant differences among different geographical origins. The clusters of honey from different geographical origins were visualized with principal component analysis. In addition, support vector machine (SVM) and linear discrimination analysis (LDA) were used to quantitively classify the origins. The results indicated that SVM performed better than LDA, and the discriminant results of multi-floral honey were better than acacia honey. The accuracy and mean average precision for multi-floral honey were 99.7% and 99.7%, respectively. This study provided a fast approach for geographical origin classification, and might be helpful for food traceability.
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spelling pubmed-71813002020-04-28 Fast Classification of Geographical Origins of Honey Based on Laser-Induced Breakdown Spectroscopy and Multivariate Analysis Zhao, Zhangfeng Chen, Lun Liu, Fei Zhou, Fei Peng, Jiyu Sun, Minghua Sensors (Basel) Article Traceability of honey is highly required by consumers and food administration with the consideration of food safety and quality. In this study, a technique named laser-induced breakdown spectroscopy (LIBS) was used to fast trace geographical origins of acacia honey and multi-floral honey. LIBS emissions from elements of Mg, Ca, Na, and K had significant differences among different geographical origins. The clusters of honey from different geographical origins were visualized with principal component analysis. In addition, support vector machine (SVM) and linear discrimination analysis (LDA) were used to quantitively classify the origins. The results indicated that SVM performed better than LDA, and the discriminant results of multi-floral honey were better than acacia honey. The accuracy and mean average precision for multi-floral honey were 99.7% and 99.7%, respectively. This study provided a fast approach for geographical origin classification, and might be helpful for food traceability. MDPI 2020-03-28 /pmc/articles/PMC7181300/ /pubmed/32231046 http://dx.doi.org/10.3390/s20071878 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhao, Zhangfeng
Chen, Lun
Liu, Fei
Zhou, Fei
Peng, Jiyu
Sun, Minghua
Fast Classification of Geographical Origins of Honey Based on Laser-Induced Breakdown Spectroscopy and Multivariate Analysis
title Fast Classification of Geographical Origins of Honey Based on Laser-Induced Breakdown Spectroscopy and Multivariate Analysis
title_full Fast Classification of Geographical Origins of Honey Based on Laser-Induced Breakdown Spectroscopy and Multivariate Analysis
title_fullStr Fast Classification of Geographical Origins of Honey Based on Laser-Induced Breakdown Spectroscopy and Multivariate Analysis
title_full_unstemmed Fast Classification of Geographical Origins of Honey Based on Laser-Induced Breakdown Spectroscopy and Multivariate Analysis
title_short Fast Classification of Geographical Origins of Honey Based on Laser-Induced Breakdown Spectroscopy and Multivariate Analysis
title_sort fast classification of geographical origins of honey based on laser-induced breakdown spectroscopy and multivariate analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181300/
https://www.ncbi.nlm.nih.gov/pubmed/32231046
http://dx.doi.org/10.3390/s20071878
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