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Article

Multielemental Analysis Associated with Chemometric Techniques for Geographical Origin Discrimination of Tea Leaves (Camelia sinensis) in Guizhou Province, SW China

1
College of Resource and Environmental Engineering, Guizhou University, Guiyang 550025, China
2
College of Mining, Guizhou University, Guiyang 550025, China
3
Department of Soil and Water Sciences, Tropical Research and Education Center, IFAS, University of Florida, Homestead, FL 33031, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Giuseppe Scarponi, Silvia Illuminati, Anna Annibaldi and Cristina Truzzi
Molecules 2018, 23(11), 3013; https://doi.org/10.3390/molecules23113013
Received: 3 November 2018 / Revised: 14 November 2018 / Accepted: 15 November 2018 / Published: 18 November 2018
This study aimed to construct objective and accurate geographical discriminant models for tea leaves based on multielement concentrations in combination with chemometrics tools. Forty mineral elements in 87 tea samples from three growing regions in Guizhou Province (China), namely Meitan and Fenggang (MTFG), Anshun (AS) and Leishan (LS) were analyzed. Chemometrics evaluations were conducted using a one-way analysis of variance (ANOVA), principal component analysis (PCA), linear discriminant analysis (LDA), and orthogonal partial least squares discriminant analysis (OPLS-DA). The results showed that the concentrations of the 28 elements were significantly different among the three regions (p < 0.05). The correct classification rates for the 87 tea samples were 98.9% for LDA and 100% for OPLS-DA. The variable importance in the projection (VIP) values ranged between 1.01–1.73 for 11 elements (Sb, Pb, K, As, S, Bi, U, P, Ca, Na, and Cr), which can be used as important indicators for geographical origin identification of tea samples. In conclusion, multielement analysis coupled with chemometrics can be useful for geographical origin identification of tea leaves. View Full-Text
Keywords: tea leaves; multielement; ICP-MS; chemometrics; geographical origin discrimination tea leaves; multielement; ICP-MS; chemometrics; geographical origin discrimination
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MDPI and ACS Style

Zhang, J.; Yang, R.; Chen, R.; Li, Y.C.; Peng, Y.; Liu, C. Multielemental Analysis Associated with Chemometric Techniques for Geographical Origin Discrimination of Tea Leaves (Camelia sinensis) in Guizhou Province, SW China. Molecules 2018, 23, 3013. https://doi.org/10.3390/molecules23113013

AMA Style

Zhang J, Yang R, Chen R, Li YC, Peng Y, Liu C. Multielemental Analysis Associated with Chemometric Techniques for Geographical Origin Discrimination of Tea Leaves (Camelia sinensis) in Guizhou Province, SW China. Molecules. 2018; 23(11):3013. https://doi.org/10.3390/molecules23113013

Chicago/Turabian Style

Zhang, Jian, Ruidong Yang, Rong Chen, Yuncong C. Li, Yishu Peng, and Chunlin Liu. 2018. "Multielemental Analysis Associated with Chemometric Techniques for Geographical Origin Discrimination of Tea Leaves (Camelia sinensis) in Guizhou Province, SW China" Molecules 23, no. 11: 3013. https://doi.org/10.3390/molecules23113013

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