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.
WU Zhen
,
LI Hong
,
CHEN Gang
,
YANG Yong
,
WANG Min
,
TIAN Yuan
,
LIU Yuan
. The comparison analysis of different varieties pomelo based on inorganic elements combined with partial least squares discrimination and cluster analysis[J]. Food and Fermentation Industries, 2019
, 45(18)
: 248
-253
.
DOI: 10.13995/j.cnki.11-1802/ts.020276
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