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Intelligent Biosensors Promise Smarter Solutions in Food Safety 4.0.
Chen, Yuehua; Wang, Yicheng; Zhang, Yiran; Wang, Xin; Zhang, Chen; Cheng, Nan.
Afiliação
  • Chen Y; School of Electrical and Information, Northeast Agricultural University, Harbin 150030, China.
  • Wang Y; School of Food Science, Northeast Agricultural University, Harbin 150030, China.
  • Zhang Y; College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China.
  • Wang X; College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China.
  • Zhang C; College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China.
  • Cheng N; College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Foods ; 13(2)2024 Jan 11.
Article em En | MEDLINE | ID: mdl-38254535
ABSTRACT
Food safety is closely related to human health. However, the regulation and testing processes for food safety are intricate and resource-intensive. Therefore, it is necessary to address food safety risks using a combination of deep learning, the Internet of Things, smartphones, quick response codes, smart packaging, and other smart technologies. Intelligent designs that combine digital systems and advanced functionalities with biosensors hold great promise for revolutionizing current food safety practices. This review introduces the concept of Food Safety 4.0, and discusses the impact of intelligent biosensors, which offer attractive smarter solutions, including real-time monitoring, predictive analytics, enhanced traceability, and consumer empowerment, helping improve risk management and ensure the highest standards of food safety.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Foods Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Foods Ano de publicação: 2024 Tipo de documento: Article