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Archive > Volume 15 Issue 1 > 2023,15(1):63-68. DOI:https://doi.org/10.1016/j.chmed.2022.05.005 Prev Next

基于ICP-OES多元素分析結合化學計量學多變量分析的青錢柳茶葉產(chǎn)地溯源

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Geographical discrimination of Cyclocarya paliurus tea for origin traceability based on multielement analysis by ICP-OES and chemometrics multivariate

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    摘要:
    目的：基于 ICP-OES 多元素分析和化學計量學多變量分析，本文重點研究了青錢柳茶葉的產(chǎn)地溯源。 方法：本研究采用 ICP-OES 法測定了11種微量元素的濃度，并通過多元統(tǒng)計分析處理。 結果：經(jīng)方差分析，6個產(chǎn)地中除Co外，其他10種元素的濃度差異顯著。Pearson 相關性分析顯示，11對元素呈正顯著相關，12對元素呈負顯著相關。結合 PCA?分析，利用這11個元素可以有效的區(qū)分其地理來源。S-LDA 模型的識別率為100%。 結論：ICP-OES多元素分析結合化學計量學多變量分析可以對茶葉的地理來源進行追溯，為今后青錢柳的質量控制和質量評價提供參考。

    Abstract:
    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.

    關鍵詞:
    化學計量學多變量分析;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).

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