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Article

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

1
Jinan Fruit Research Institute, All China Federation of Supply and Marketing Cooperatives, Jinan 250014, China
2
College of Agriculture & Biotechnology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
3
School of Food Science and Biotechnology, Zhejiang GongShang University, Hangzhou 310018, China
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(7), 1866; https://doi.org/10.3390/s20071866
Received: 12 February 2020 / Revised: 24 March 2020 / Accepted: 24 March 2020 / Published: 27 March 2020
(This article belongs to the Section Electronic Sensors)
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. View Full-Text
Keywords: yellow peach; electronic nose; compression damage; non-destructive; GC–MS yellow peach; electronic nose; compression damage; non-destructive; GC–MS
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MDPI and ACS Style

Yang, X.; Chen, J.; Jia, L.; Yu, W.; Wang, D.; Wei, W.; Li, S.; Tian, S.; Wu, D. Rapid and Non-Destructive Detection of Compression Damage of Yellow Peach Using an Electronic Nose and Chemometrics. Sensors 2020, 20, 1866. https://doi.org/10.3390/s20071866

AMA Style

Yang X, Chen J, Jia L, Yu W, Wang D, Wei W, Li S, Tian S, Wu D. Rapid and Non-Destructive Detection of Compression Damage of Yellow Peach Using an Electronic Nose and Chemometrics. Sensors. 2020; 20(7):1866. https://doi.org/10.3390/s20071866

Chicago/Turabian Style

Yang, Xiangzheng, Jiahui Chen, Lianwen Jia, Wangqing Yu, Da Wang, Wenwen Wei, Shaojia Li, Shiyi Tian, and Di Wu. 2020. "Rapid and Non-Destructive Detection of Compression Damage of Yellow Peach Using an Electronic Nose and Chemometrics" Sensors 20, no. 7: 1866. https://doi.org/10.3390/s20071866

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