Chen Yuehua, Wang Yicheng, Zhang Yiran, Wang Xin, Zhang Chen, Cheng Nan
School of Electrical and Information, Northeast Agricultural University, Harbin 150030, China.
School of Food Science, Northeast Agricultural University, Harbin 150030, China.
Foods. 2024 Jan 11;13(2):235. doi: 10.3390/foods13020235.
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.
食品安全与人类健康密切相关。然而，食品安全的监管和检测过程复杂且资源密集。因此，有必要结合深度学习、物联网、智能手机、二维码、智能包装和其他智能技术来应对食品安全风险。将数字系统和先进功能与生物传感器相结合的智能设计，有望彻底改变当前的食品安全实践。本综述介绍了食品安全4.0的概念，并讨论了智能生物传感器的影响，智能生物传感器提供了更具吸引力的智能解决方案，包括实时监测、预测分析、增强可追溯性和赋予消费者权力，有助于改善风险管理并确保最高标准的食品安全。
