Gbonyea Flomo Peter, Wu Jiahang, Li Mengru, Liang Mengdi, Zhang Mingdao, Zhu Xiaoyan, Li Xiangqian, He Shuai, Liu Pei
College of Biological Engineering, Qingdao University of Science and Technology, Qingdao 266042, China; Faculty of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian 223003, China.
Faculty of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian 223003, China.
Food Chem. 2025 Sep 15;486:144678. doi: 10.1016/j.foodchem.2025.144678. Epub 2025 May 7.
Smartphone-integrated nanozyme technologies (S-INTs) have emerged as a promising solution for rapid, on-site food safety analysis, addressing the detection of foodborne pathogens, contaminants, and hazards. While the applications of nanozymes in food safety are well-reviewed, their integration with smartphones for real-time biosensing remains underexplored. This review highlights advancements in S-INTs, emphasizing predominant merits such as portability, real-time data processing, and user-friendly interfaces. Recent progress includes detecting pathogens, food additives, nutrients, and hazardous residues like pesticides and veterinary drugs. Furthermore, we explore the potential of combining S-INTs with artificial intelligence (AI), machine learning (ML), deep learning (DL), and 3D printing to enhance detection sensitivity and broaden their applications. Critical challenges such as improving sensitivity, enabling multiplexing, and validating field applications are also discussed. Notably, these advancements hold immense potential to empower smart food safety systems, enabling real-time and on-site detection to ensure food quality and safeguard public health.
集成智能手机的纳米酶技术(S-INTs)已成为快速现场食品安全分析的一种有前景的解决方案,可用于检测食源性病原体、污染物和危害物。虽然纳米酶在食品安全中的应用已有充分综述,但它们与智能手机集成用于实时生物传感仍未得到充分探索。本综述重点介绍了S-INTs的进展,强调了便携性、实时数据处理和用户友好界面等主要优点。最近的进展包括检测病原体、食品添加剂、营养素以及农药和兽药等有害残留物。此外,我们探讨了将S-INTs与人工智能(AI)、机器学习(ML)、深度学习(DL)和3D打印相结合以提高检测灵敏度并拓宽其应用的潜力。还讨论了提高灵敏度、实现多重检测和验证现场应用等关键挑战。值得注意的是,这些进展具有增强智能食品安全系统的巨大潜力,能够进行实时现场检测以确保食品质量并保障公众健康。