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Applications of Gas Sensing in Food Quality Detection: A Review.
Ma, Minzhen; Yang, Xinting; Ying, Xiaoguo; Shi, Ce; Jia, Zhixin; Jia, Boce.
Afiliação
  • Ma M; Information Technology Research Center, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China.
  • Yang X; College of Food and Pharmacy, Zhejiang Ocean University, Zhoushan 316004, China.
  • Ying X; Information Technology Research Center, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China.
  • Shi C; Key Laboratory of Cold Chain Logistics Technology for Agro-Product, Ministry of Agriculture and Rural Affairs, Beijing 100097, China.
  • Jia Z; National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China.
  • Jia B; National Engineering Laboratory for Agri-Product Quality Traceability, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China.
Foods ; 12(21)2023 Oct 30.
Article em En | MEDLINE | ID: mdl-37959084
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Foods Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Foods Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
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