Objective: This paper focused on the geographical discrimination of Cyclocarya paliurus tea for origin traceability based on multielement analysis by ICP-OES and chemometrics multivariate. Methods: In this study, eleven trace element concentrations were determined by ICP-OES and processed by multivariate statistical analysis. Results: Based on ANOVA, the mean concentrations of 10 elements except Co differed significantly among six origins. Pearson’s correlation analysis showed that 11 pairs of elements have a positive significant correlation and 12 pairs have a negative significant correlation. The geographical origins were effectively differentiated using the eleven elements combined with PCA. And the S-LDA model offered a 100% differentiation rate. Conclusion: The overall results suggested that the combination of multielement analysis by ICP-OES and chemometrics multivariate could trace the geographical origins of tea. And the paper can provide reference for quality control and quality evaluation of C. paliurus in the future.
关键词:
化学计量学多变量分析;青钱柳;地理来源;多元素分析;ICP-OES
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Project Supported:
The project was supported by the National Natural Science Foundation of China (No. 81360631) and Project of the Key Research and Development Program for Jiangxi Province (No. 20203BBGL73218).
Na Guo, Qi Wu, Chen Shi, Rengeng Shu *. Geographical discrimination of Cyclocarya paliurus tea for origin traceability based on multielement analysis by ICP-OES and chemometrics multivariate[J]. Chinese Herbal Medicines (CHM),2023,15(1):63-68
