食品工业科技2024，Vol.45Issue(9)：235-244,10.DOI:10.13386/j.issn1002-0306.2023050072
基于主成分分析法的9个品种蓝莓品质评价
Quality Evaluation of Nine Varieties of Blueberry Based on Principal Component Analysis
摘要
Abstract
To investigate the quality characteristics of different varieties of blueberry,the quality differences on appearance,physicochemical properties,and sugar and acid composition were analyzed.At the same time,correlation analysis was employed to analyze the correlation of different indexes and principal component analysis was employed to evaluate the quality characteristics of 9 varieties of blueberry.The results showed that different varieties of blueberry exhibited rich diversity in appearance,physicochemical properties,and sugar and acid composition.There was a high correlation between multiple indicators such as glucose and fructose(r=0.93),FRAP and DPPH(r=0.755).PCA results indicated that citric acid,pH,,total phenol,DPPH,flavonoid and juice yield were key indicators for evaluating the quality of blueberry,and the quality characteristics of'Canlan','Laigexi'and'Shuangfeng'were excellent fruit shape index(＞0.73),good solid to acid ratio of 6.12～9.57 and suitable for fresh consumption.The quality characteristics of'Baerdewen','Duke'and'Weisan'included the high in sugar,acid and antioxidant capacity,suitable for juice and wine and other products development.The flavonoid contents of'Weisan'and'Duke'were 1.95 and 1.62 mg/g,and the total phenol contents were 1.34 and 1.38 mg/g,respectively.The quality characteristics of'Weisan'and'Duke'were high content of total phenol and flavonoid,suitable for functional product development.The results above will serve an important reference to screen blueberry varieties for different purposes.关键词
蓝莓/加工适宜性评价/抗氧化性/主成分分析Key words
blueberry/processing suitability evaluation/antioxidant activity/principal component analysis分类
轻工纺织引用本文复制引用
梁钰梅,刘刚,李可,林籽汐,李晓梅,周劲松,廖茂雯,林昊然,朱永清,李华佳..基于主成分分析法的9个品种蓝莓品质评价[J].食品工业科技,2024,45(9):235-244,10.基金项目
四川省农业科学院1+9揭榜挂帅项目-功能食品核心技术攻关(1+9KJGG007) （1+9KJGG007）
四川省科技计划重点研发项目(2020YFN0149). （2020YFN0149）
