食品安全
分析
智能手机应用
计算机科学
数据科学
公民科学
计算机安全
风险分析(工程)
互联网隐私
生物技术
业务
生物
多媒体
植物
食品科学
作者
Tao Yang,Zisheng Luo,Tarun Bewal,Li Li,Yanqun Xu,Seid Mahdi Jafari,Xingyu Lin
出处
期刊:Food Chemistry
[Elsevier]
日期:2022-06-21
卷期号:394: 133534-133534
被引量:59
标识
DOI:10.1016/j.foodchem.2022.133534
摘要
Pathogens are one of the supreme threats for the public health around the world in food supply chain. The on-site monitoring is an emerging trend for screening pathogens during the food processing and preserving. Traditional analytical tools have been unable to satisfy the current demands. Smartphones have enormous potentials for achieving on-site detection of foodborne pathogens, with intrinsic advantages such as small size, high accessibility, fast processing speed, and powerful imaging capacity. This review aims to synthesize the current advances in smartphone-assisted biosensors (SABs) for sensing foodborne pathogens, and briefly put forward the problem that consist in the research. We present the role of nanotechnology and recognition modes targeting foodborne pathogens in SABs, and discuss the signal conversion platforms coupling with smartphone. The challenges and perspectives in SABs are also proposed. The smartphone analytics area is moving forward, and it much be subject to careful quality standards and validation.
科研通智能强力驱动
Strongly Powered by AbleSci AI