探讨无机元素结合最小二乘判别分析(partial least-squares discriminant analysis,PLS-DA)和聚类分析(clustering analysis,CA)在柚子品种综合评价中的应用。采用电感耦合等离子体原子发射光谱(inductively coupled plasma-atoimc emission spectrometry,ICP-AES)对我国5种柚子(沙田柚、玉环柚、脆香甜柚、琯溪蜜柚和梁平柚)共计67份柚果肉样品的17种元素含量测定。柚果肉中Cd、Pb、As、Hg均未检出,Ca、K、Fe、Mg、Mn等有益元素含量丰富;PLS-DA可将5种柚子区分,其前3个主因子(F1-F3)的累积方差贡献率为99.065%,F2与B、V相关,F3与Mg、Mn相关,其余均与F1相关。通过相关性分析和聚类分析将17种元素聚为四大类,说明了各个元素的内在联系。无机元素结合多元统计分析能够对我国5种柚子品种进行有效区分,该研究为我国柚子品种特性比较、种质资源调查及其综合利用提供了基础依据。
This study investigated the application of partial least-squares discriminant analysis (PLS-DA) and clustering analysis (CA) techniques associated with inorganic element concentrations for evaluation of different varieties of pomelo (Citrus grandis L. Osbeck). The contents of 17 inorganic elements of 67 pomelo samples from 5 different varieties (Shatianyu, Yuhuanyou, Cuixiangtianyou, Guanximiyou and Liangpingyou) were determined by inductively coupled plasma-atomic emission spectrometry (ICP-AES). The results showed that Cd, Pb, As and Hg were not detected in all pomelo pulp samples and pomelo pulp was rich in Ca, K, Fe, Mg and Mn. PLS-DA could distinguish 5 different varieties and its cumulative variance contribution rate of three-factor (F1-F3) was 99.065%, revealing that F2 was related to B and V, F3 related to Mg and Mn, and F1 related to all others. 17 elements were clustered to 4 classes by correlation analysis and CA, indicating internal relations of inorganic elements in pomelo fruits. The elements coupling chemometrics could be successfully used to identify and distinguish these 5 kinds of pomelo in China. This study provides a basis for the comparison of variety characteristics, germplasm resources investigation and comprehensive utilization of pomelo.
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