Electronic Tongue Combined with Chemometrics to Provenance Discrimination for a Green Tea (Anji-White Tea)
This paper aims to provide a stable instrumental method for provenance discrimination of Anji-White tea by its distinctive taste. 180 authentic and 60 counterfeit white tea samples were collected for specific geographical origins detection; all of them were measured by electronic tongue coupled with...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | Journal of Food Quality |
| Online Access: | http://dx.doi.org/10.1155/2017/3573197 |
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| _version_ | 1849397952060063744 |
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| author | Si-Min Yan Zi-Feng Hu Cheng-Xin Wu Lu Jin Gong Chen Xian-Yu Zeng Jia-Qi Zhu |
| author_facet | Si-Min Yan Zi-Feng Hu Cheng-Xin Wu Lu Jin Gong Chen Xian-Yu Zeng Jia-Qi Zhu |
| author_sort | Si-Min Yan |
| collection | DOAJ |
| description | This paper aims to provide a stable instrumental method for provenance discrimination of Anji-White tea by its distinctive taste. 180 authentic and 60 counterfeit white tea samples were collected for specific geographical origins detection; all of them were measured by electronic tongue coupled with 7 independent sensors. Therefore, chemometrics methods, principal component analysis (PCA), and partial least squares discriminant analysis (PLSDA) were performed in classification. The PCA distribution shows that, in provenance analysis, PCA is a simple and reliable tool for small sample sets, but for sets with large objects, PCA seems powerless in classification. Therefore, PLSDA was applied to develop a classification model. The prediction sensitivity and specificity of PLSDA, respectively, reached 0.917 and 0.950. This study demonstrates the potential of combining electronic tongue system and chemometrics as an effective tool for specific geographical origins detection in Anji-White tea. |
| format | Article |
| id | doaj-art-a5c9ded78d324f0b9cac1a23f735aefc |
| institution | Kabale University |
| issn | 0146-9428 1745-4557 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Food Quality |
| spelling | doaj-art-a5c9ded78d324f0b9cac1a23f735aefc2025-08-20T03:38:48ZengWileyJournal of Food Quality0146-94281745-45572017-01-01201710.1155/2017/35731973573197Electronic Tongue Combined with Chemometrics to Provenance Discrimination for a Green Tea (Anji-White Tea)Si-Min Yan0Zi-Feng Hu1Cheng-Xin Wu2Lu Jin3Gong Chen4Xian-Yu Zeng5Jia-Qi Zhu6Shanghai Institute of Quality Inspection and Technical Research, Shanghai 201114, ChinaShanghai Institute of Quality Inspection and Technical Research, Shanghai 201114, ChinaShanghai Institute of Quality Inspection and Technical Research, Shanghai 201114, ChinaShanghai Institute of Quality Inspection and Technical Research, Shanghai 201114, ChinaShanghai Institute of Quality Inspection and Technical Research, Shanghai 201114, ChinaShanghai Institute of Quality Inspection and Technical Research, Shanghai 201114, ChinaShanghai Institute of Quality Inspection and Technical Research, Shanghai 201114, ChinaThis paper aims to provide a stable instrumental method for provenance discrimination of Anji-White tea by its distinctive taste. 180 authentic and 60 counterfeit white tea samples were collected for specific geographical origins detection; all of them were measured by electronic tongue coupled with 7 independent sensors. Therefore, chemometrics methods, principal component analysis (PCA), and partial least squares discriminant analysis (PLSDA) were performed in classification. The PCA distribution shows that, in provenance analysis, PCA is a simple and reliable tool for small sample sets, but for sets with large objects, PCA seems powerless in classification. Therefore, PLSDA was applied to develop a classification model. The prediction sensitivity and specificity of PLSDA, respectively, reached 0.917 and 0.950. This study demonstrates the potential of combining electronic tongue system and chemometrics as an effective tool for specific geographical origins detection in Anji-White tea.http://dx.doi.org/10.1155/2017/3573197 |
| spellingShingle | Si-Min Yan Zi-Feng Hu Cheng-Xin Wu Lu Jin Gong Chen Xian-Yu Zeng Jia-Qi Zhu Electronic Tongue Combined with Chemometrics to Provenance Discrimination for a Green Tea (Anji-White Tea) Journal of Food Quality |
| title | Electronic Tongue Combined with Chemometrics to Provenance Discrimination for a Green Tea (Anji-White Tea) |
| title_full | Electronic Tongue Combined with Chemometrics to Provenance Discrimination for a Green Tea (Anji-White Tea) |
| title_fullStr | Electronic Tongue Combined with Chemometrics to Provenance Discrimination for a Green Tea (Anji-White Tea) |
| title_full_unstemmed | Electronic Tongue Combined with Chemometrics to Provenance Discrimination for a Green Tea (Anji-White Tea) |
| title_short | Electronic Tongue Combined with Chemometrics to Provenance Discrimination for a Green Tea (Anji-White Tea) |
| title_sort | electronic tongue combined with chemometrics to provenance discrimination for a green tea anji white tea |
| url | http://dx.doi.org/10.1155/2017/3573197 |
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