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A multi-element stable isotope approach coupled with chemometrics for the determination of Tieguanyin tea geographical origin and harvest season

Author:
Zhou, Peng, Li, Zeyu, Ouyang, Liqun, Gong, Xuedong, Meng, Peng, Dai, Ming, Wang, Zheng, Wang, Ying
Source:
Analytical methods 2019 v.11 no.3 pp. 346-352
ISSN:
1759-9679
Subject:
autumn, carbon, chemometrics, discriminant analysis, harvest date, hydrogen, mass spectrometry, nitrogen, odors, oxygen, prices, principal component analysis, product authenticity, provenance, quality control, seasonal variation, spring, stable isotopes, taste, tea
Abstract:
The taste and aroma quality and the price of tea are largely impacted by the geographical origin and harvest season. Tieguanyin teas differing in sites of growth and harvest season were characterized by the analysis of stable isotopes of nitrogen, carbon, hydrogen and oxygen (δ¹⁵N, δ¹³C, δD and δ¹⁸O). The δ¹⁵N, δ¹³C, δD and δ¹⁸O values were determined by elemental analyzer-isotope ratio mass spectrometry (EA-IRMS). All δ¹⁵N, δ¹³C, δD and δ¹⁸O values exhibited significant differences (p < 0.05) in the samples of different regional origins, whereas the δD and δ¹⁸O values highly differed (p < 0.01) between spring and autumn Tieguanyin teas. With the aid of chemometrics, orthogonal projection to latent structures discriminate analysis (OPLS-DA) achieved 96.08% recognition rate for Tieguanyin teas from different regions, whereas stepwise linear discriminant analysis (SLDA) allowed 100% differentiation. Moreover, principal component analysis (PCA) and hierarchical cluster analysis (HCA) methods revealed excellent discrimination possibilities for the teas according to seasonal variations. Additionally, our study presented a good alternative to differentiate teas from different sites of growth and harvest seasons and also to address the quality control and food authenticity concerns.
Agid:
6269053