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Yuan Y, Liu X, Yin Y, Yu H, Chen J, Li M. A microbial quantity monitoring model based on 3D fluorescence data of the cucumber storeroom gas and its use in providing auxiliary early spoilage warning. Analyst 2022; 147:5347-5354. [DOI: 10.1039/d2an01121b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
A microbial quality prediction model for early warning of cucumber spoilage is proposed based on the fluorescence information of the cucumber storeroom gas.
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Affiliation(s)
- Yunxia Yuan
- College of Food & Bioengineering, Henan University of Science & Technology, Luoyang 471023, China
| | - Xueru Liu
- College of Food & Bioengineering, Henan University of Science & Technology, Luoyang 471023, China
| | - Yong Yin
- College of Food & Bioengineering, Henan University of Science & Technology, Luoyang 471023, China
| | - Huichun Yu
- College of Food & Bioengineering, Henan University of Science & Technology, Luoyang 471023, China
| | - Junliang Chen
- College of Food & Bioengineering, Henan University of Science & Technology, Luoyang 471023, China
| | - Mengli Li
- College of Food & Bioengineering, Henan University of Science & Technology, Luoyang 471023, China
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