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.
關(guān)鍵詞:
化學(xué)計(jì)量學(xué)多變量分析;青錢柳;地理來源;多元素分析;ICP-OES
Keywords:
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
Share
Article Metrics
Abstract views:
PDF downloads:
Html views:
Cited by:
History
Manuscript received:
Manuscript revised:
Adopted:
Online Published: January 30,2023
Published:
WeChat
Mobile website
Chinese Herbal Medicines (CHM) ® 2025 All Rights Reserved 津備案:津ICP備13000267號
互聯(lián)網(wǎng)藥品信息服務(wù)資格證書編號:(津)-非經(jīng)營性-2015-0031