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中国精品科技期刊2020
宋贺,何维,刘祚祚,等. 基于主成分分析综合评价“热农1号”余甘子果实品质[J]. 食品工业科技,2023,44(8):318−325. doi: 10.13386/j.issn1002-0306.2022060331.
引用本文: 宋贺,何维,刘祚祚,等. 基于主成分分析综合评价“热农1号”余甘子果实品质[J]. 食品工业科技,2023,44(8):318−325. doi: 10.13386/j.issn1002-0306.2022060331.
SONG He, HE Wei, LIU Zuozuo, et al. Comprehensive Evaluation of ''Renong No.1'' Phyllanthus Emblica L. Quality Based on Principal Component Analysis[J]. Science and Technology of Food Industry, 2023, 44(8): 318−325. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2022060331.
Citation: SONG He, HE Wei, LIU Zuozuo, et al. Comprehensive Evaluation of ''Renong No.1'' Phyllanthus Emblica L. Quality Based on Principal Component Analysis[J]. Science and Technology of Food Industry, 2023, 44(8): 318−325. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2022060331.

基于主成分分析综合评价“热农1号”余甘子果实品质

Comprehensive Evaluation of ''Renong No.1'' Phyllanthus Emblica L. Quality Based on Principal Component Analysis

  • 摘要: 为综合评价新品种“热农1号”余甘子的果实品质并确定其最佳采收期,本研究利用性状分析、变异分析、相关分析和主成分分析方法,综合评价了2019~2021年间采摘于云南省宾川县的21份“热农1号”余甘子的可食用率、还原糖等10项指标。结果显示,不同采摘时期的“热农1号”余甘子果实品质存在差异。可食率、硬度、重量和直径4项指标变异系数为4.22%~17.08%;黄酮、多酚、蔗糖、还原糖、VC和总酸6项指标变异系数为9.45%~26.72%。果实的硬度、可食率、还原糖和多酚含量均在每年11月中上旬达到峰值。通过变异性分析发现“热农1号”的营养指标变异性较高。Spearman相关性分析显示:果实重量、硬度、可食率与还原糖呈极显著正相关(P<0.01),与蔗糖呈极显著负相关(P<0.01);黄酮与VC、多酚、总酸呈显著正相关(P<0.05)。为建立综合评价果实品质的模型,本文基于主成分分析提取出PC1果实风味指标、PC2营养指标和PC3外观指标三个主成分,其累计贡献率为81.58%,且综合排名结果显示10月末和11月中上旬果实品质较好。本研究通过建立基于主成分分析的数学模型综合评价新品种“热农1号”余甘子的果实品质并确定了最佳采收期为10月末到11月中旬,果实风味甘甜、外观饱满,VC、总酚和总黄酮含量高。

     

    Abstract: The purpose of this study is to comprehensively evaluate the fruit quality of the new variety "Renong No.1" Phyllanthus emblica L. and determine its optimal harvesting period. 10 indexes such as edible rate and reducing sugar of 21 samples of "Renong No.1" picked in Binchuan county of Yunnan province from 2019 to 2021 were comprehensively evaluated by character analysis, variation analysis, correlation analysis and principal component analysis. The results showed that there were different in fruit quality of "Renong No.1" in different picking periods. The variation coefficients of edible rate, hardness, weight and diameter was 4.22%~17.08%. The variation coefficients of flavonoids, polyphenols, sucrose, reducing sugar, VC and total acid content were 9.45%~26.72%. The fruit firmness, edible rate, reducing sugar and polyphenol content all reached their peaks in the middle and early November in three years. Spearman correlation analysis showed that fruit weight, firmness and edible percentage were positively correlated with reducing sugar content (P<0.01), and negatively correlated with sucrose content (P<0.01), flavonoids content were positively correlated with VC, polyphenols and total acid content (P<0.05). This study extracted three principal components based on principal component analysis: PC1 represented fruit flavor index, PC2 represented nutrition index and PC3 represented appearance index. The cumulative contribution rate of three principal components was 81.58%. The comprehensive ranking results showed that the fruit quality in late October and early November was better. In this study, a mathematical model based on principal component analysis was established to comprehensively evaluate the fruit quality of the new variety "Renong No.1" Phyllanthus emblica L., and the optimal harvest time was from the end of October to the middle of November with sweet flavor, full appearance and high content of VC, total phenols and total flavonoids.

     

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