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Electronic Tongue Combined with Chemometrics to Provenance Discrimination for a Green Tea (Anji-White Tea)

التفاصيل البيبلوغرافية
العنوان: Electronic Tongue Combined with Chemometrics to Provenance Discrimination for a Green Tea (Anji-White Tea)
المؤلفون: Si-Min Yan, Zi-Feng Hu, Cheng-Xin Wu, Lu Jin, Gong Chen, Xian-Yu Zeng, Jia-Qi Zhu
المصدر: Journal of Food Quality, Vol 2017 (2017)
بيانات النشر: Wiley, 2017.
سنة النشر: 2017
المجموعة: LCC:Nutrition. Foods and food supply
مصطلحات موضوعية: Nutrition. Foods and food supply, TX341-641
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 0146-9428
1745-4557
Relation: https://doaj.org/toc/0146-9428; https://doaj.org/toc/1745-4557
DOI: 10.1155/2017/3573197
URL الوصول: https://doaj.org/article/a5c9ded78d324f0b9cac1a23f735aefc
رقم الأكسشن: edsdoj.5c9ded78d324f0b9cac1a23f735aefc
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:01469428
17454557
DOI:10.1155/2017/3573197