食品安全
人类健康
计算机科学
纳米技术
生化工程
风险分析(工程)
化学
工程类
业务
食品科学
医学
环境卫生
材料科学
作者
Yizhong Shen,Yunlong Wei,Chunlei Zhu,Jinxuan Cao,Deman Han
标识
DOI:10.1016/j.ccr.2022.214442
摘要
Development of efficient and portable biosensor to achieve the accurate onsite detection of food contaminants is of very great significance for safeguarding food safety and human health. With the popularity of smartphone, the digital imaging feature makes it to be an outstanding analytical platform to develop the point-of-care testing sensors. Compared with single-emission fluorescent assay, the ratiometric fluorescent assay possesses the built-in self-calibration function to avoid the interferences caused by various target-independent factors, circumventing/reducing false positive result output, thus improving the detection accuracy and expanding the dynamic detection range in complicated food matrixes. Based on these, vast efforts focus on integrating smartphone with ratiometric fluorescent strategies to develop portable sensors for realizing the onsite visual detection of food contaminants in a rapid, low cost, reliable, and even easy to implement in resource-limited areas way. In this review, we summarize the recent development of ratiometric fluorescent signals-driven smartphone-based sensors for onsite visual detection of food contaminants (e.g., antibiotics, pesticides, & harmful ions), discuss the confronting challenges, and propose an outlook on the future of this advanced analytical technology to help better achieve the precisely onsite detection of food contaminants, ensuring food safety and human health.
科研通智能强力驱动
Strongly Powered by AbleSci AI