| Objective To systematically analyze the main chemical components and evaluate the quality of Siraitia grosvenorii fruits. Methods High performance liquid chromatography (HPLC) was employed to determine mogroside V, total sugar, vitamin C, moisture, and water-soluble extracts in samples of different cultivars (Yongqing 1, Bolin 3, Nongyuan B6, and Qingpi 3), supplemented with additional tests for mogroside V content to enhance data integrity. After the data were standardized, multidimensional analysis including correlation analysis, principal component analysis (PCA), and hierarchical cluster analysis (HCA) was conducted to assess fruit quality. Results Certain variations were observed in different indicators of Siraitia grosvenorii fruits, with coefficients of variation ranging between 5.28% and 35.38%. Several parameter groups exhibited statistically significant correlations at P<0.05 (significant) or P<0.01 (highly significant) levels. Three principal components were proposed in principal component analysis, and the contribution rate of cumulative variance was 91.13%. Through hierarchical cluster analysis (squared euclidean distance 11.5), the samples were categorized into four distinct groups. The Siraitia grosvenorii in Groups Ⅰ and Ⅱ exhibited superior comprehensive performance, while those in Group Ⅳ demonstrated relatively poorer overall quality. Conclusion The classification of Siraitia grosvenorii provides a data-driven reference for its cultivation, processing, and application, thereby facilitating the enhancement of its quality and practical value. |
