摘要
采用电子鼻系统对不同成熟度‘锦绣黄桃’果实进行评价研究.主成分分析(PCA)和判别因子分析法(DFA)的结果显示,电子鼻可以较好地区分转色期、成熟期和完熟期的果实,但成熟期、完熟期的果实有部分区域发生重叠.为了评价电子鼻的分析能力,将其预测结果与传统的理化检测方法(硬度、可溶性固形物、可滴定酸、挥发性香气组分)及生理指标(乙烯释放速率)得到的结果进行了比较.结果表明,采用电子鼻系统中的PCA较DFA更能准确区分桃果实的不同成熟度.
In this study, electronic nose technology combined with quality and physiological indexes was used to evaluate three levels of maturity of ＇ Jinxiuhuangtao＇ peach. The results showed that color turning peaches could be distinguished from mature and ripe peaches using the score plot of principal component analysis （PCA） by the electronic nose measurement. However, mature and ripe peaches were not well distinguished from each other because of existence of overlapping. The predicted results were compared with the results of the traditional chemical and physical test methods （ firmness, total soluble solids, titration acid volatile and aromatic constituents） and physiological indexes （ethylene release rate）. The comparisons showed that PCA analysis was more accurate than discriminant factor analysis （DFA）. Electronic nose technology could provide a basic tool for distinguishing different levels of maturity of peaches.
出处
《华南农业大学学报》
CAS
CSCD
北大核心
2012年第1期23-27,共5页
Journal of South China Agricultural University
基金
浙江省重点科技创新团队建设项目(2009R50033)
关键词
电子鼻
锦绣黄桃
成熟度
主成分分析
判别因子分析
品质评价
electronic nose
Jinxiuhuangtao
maturities
principal component analysis
discriminant factor analysis
quality evaluation
