Rapid and Non-Destructive Detection of Compression Damage of Yellow Peach Using an Electronic Nose and Chemometrics

被引:44
作者
Yang, Xiangzheng [1 ]
Chen, Jiahui [2 ]
Jia, Lianwen [1 ]
Yu, Wangqing [1 ]
Wang, Da [1 ]
Wei, Wenwen [1 ]
Li, Shaojia [2 ]
Tian, Shiyi [3 ]
Wu, Di [2 ]
机构
[1] All China Federat Supply & Mkt Cooperat, Jinan Fruit Res Inst, Jinan 250014, Peoples R China
[2] Zhejiang Univ, Coll Agr & Biotechnol, Zijingang Campus, Hangzhou 310058, Peoples R China
[3] Zhejiang GongShang Univ, Sch Food Sci & Biotechnol, Hangzhou 310018, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
yellow peach; electronic nose; compression damage; non-destructive; GC-MS; SUCCESSIVE PROJECTIONS ALGORITHM; GAS-CHROMATOGRAPHY; QUALITY DETERMINATION; VOLATILE COMPOUNDS; CHEMICAL SENSORS; SPACE-SHUTTLE; FRUIT; CLASSIFICATION; IDENTIFICATION; DISCRIMINATION;
D O I
10.3390/s20071866
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The rapid and non-destructive detection of mechanical damage to fruit during postharvest supply chains is important for monitoring fruit deterioration in time and optimizing freshness preservation and packaging strategies. As fruit is usually packed during supply chain operations, it is difficult to detect whether it has suffered mechanical damage by visual observation and spectral imaging technologies. In this study, based on the volatile substances (VOCs) in yellow peaches, the electronic nose (e-nose) technology was applied to non-destructively predict the levels of compression damage in yellow peaches, discriminate the damaged fruit and predict the time after the damage. A comparison of the models, established based on the samples at different times after damage, was also carried out. The results show that, at 24 h after damage, the correct answer rate for identifying the damaged fruit was 93.33%, and the residual predictive deviation in predicting the levels of compression damage and the time after the damage, was 2.139 and 2.114, respectively. The results of e-nose and gas chromatography-mass spectrophotometry (GC-MS) showed that the VOCs changed after being compressed-this was the basis of the e-nose detection. Therefore, the e-nose is a promising candidate for the detection of compression damage in yellow peach.
引用
收藏
页数:17
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