文献类型： 外文期刊
作者： Ma, Minzhen 1 ; Yang, Xinting 1 ; Ying, Xiaoguo 2 ; Shi, Ce 1 ; Jia, Zhixin 1 ; Jia, Boce 1 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Informat Technol Res Ctr, Beijing 100097, Peoples R China
2.Zhejiang Ocean Univ, Coll Food & Pharm, Zhoushan 316004, Peoples R China
3.Minist Agr & Rural Affairs, Key Lab Cold Chain Logist Technol Agroprod, Beijing 100097, Peoples R China
4.Beijing Acad Agr & Forestry Sci, Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
5.Beijing Acad Agr & Forestry Sci, Natl Engn Lab Agriprod Qual Traceabil, Beijing 100097, Peoples R China
6.Pisa Univ, Dept Agr Food & Environm DAFE, Via Borghetto 80, I-56124 Pisa, Italy
7.China Agr Univ, Coll Food Sci & Nutr Engn, Beijing 100083, Peoples R China
关键词： gas sensor; gas sensor arrays; VOCs; quality monitoring; freshness prediction
期刊名称：FOODS （ 影响因子：5.2； 五年影响因子：5.5 ）
ISSN：
年卷期： 2023 年 12 卷 21 期
页码：
收录情况： SCI
摘要： Food products often face the risk of spoilage during processing, storage, and transportation, necessitating the use of rapid and effective technologies for quality assessment. In recent years, gas sensors have gained prominence for their ability to swiftly and sensitively detect gases, making them valuable tools for food quality evaluation. The various gas sensor types, such as metal oxide (MOX), metal oxide semiconductor (MOS) gas sensors, surface acoustic wave (SAW) sensors, colorimetric sensors, and electrochemical sensors, each offer distinct advantages. They hold significant potential for practical applications in food quality monitoring. This review comprehensively covers the progress in gas sensor technology for food quality assessment, outlining their advantages, features, and principles. It also summarizes their applications in detecting volatile gases during the deterioration of aquatic products, meat products, fruit, and vegetables over the past decade. Furthermore, the integration of data analytics and artificial intelligence into gas sensor arrays is discussed, enhancing their adaptability and reliability in diverse food environments and improving food quality assessment efficiency. In conclusion, this paper addresses the multifaceted challenges faced by rapid gas sensor-based food quality detection technologies and suggests potential interdisciplinary solutions and directions.
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