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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| Format: | Article |
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MDPI AG
2020-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/7/1878 |
| _version_ | 1797626456048664576 |
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| author | Zhangfeng Zhao Lun Chen Fei Liu Fei Zhou Jiyu Peng Minghua Sun |
| author_facet | Zhangfeng Zhao Lun Chen Fei Liu Fei Zhou Jiyu Peng Minghua Sun |
| author_sort | Zhangfeng Zhao |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-11T10:10:38Z |
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| id | doaj.art-2d771aedaa8f4866bf465822f66ff37a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T10:10:38Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
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| series | Sensors |
| spelling | doaj.art-2d771aedaa8f4866bf465822f66ff37a2023-11-16T14:32:03ZengMDPI AGSensors1424-82202020-03-01207187810.3390/s20071878Fast Classification of Geographical Origins of Honey Based on Laser-Induced Breakdown Spectroscopy and Multivariate AnalysisZhangfeng Zhao0Lun Chen1Fei Liu2Fei Zhou3Jiyu Peng4Minghua Sun5Key Laboratory of E & M, Zhejiang University of Technology, Ministry of Education & Zhejiang Province, Hangzhou 310014, ChinaKey Laboratory of E & M, Zhejiang University of Technology, Ministry of Education & Zhejiang Province, Hangzhou 310014, ChinaCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, ChinaCollege of Standardization, China Jiliang University, Hangzhou 310018, ChinaKey Laboratory of E & M, Zhejiang University of Technology, Ministry of Education & Zhejiang Province, Hangzhou 310014, ChinaHangzhou Landa Science and Technology Co., Ltd., Hangzhou 310030, ChinaTraceability 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.https://www.mdpi.com/1424-8220/20/7/1878honeygeographical originmultivariate analysisclassificationlaser-induced breakdown spectroscopy |
| spellingShingle | Zhangfeng Zhao Lun Chen Fei Liu Fei Zhou Jiyu Peng Minghua Sun Fast Classification of Geographical Origins of Honey Based on Laser-Induced Breakdown Spectroscopy and Multivariate Analysis Sensors honey geographical origin multivariate analysis classification laser-induced breakdown spectroscopy |
| 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 | honey geographical origin multivariate analysis classification laser-induced breakdown spectroscopy |
| url | https://www.mdpi.com/1424-8220/20/7/1878 |
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