化学
荧光
催化作用
阿尔戈瑙特
纳米技术
组合化学
生物化学
核糖核酸
基因
量子力学
RNA干扰
物理
材料科学
作者
Xianfeng Lin,Lixin Kang,Jiaqi Feng,Nuo Duan,Zhouping Wang,Shijia Wu
标识
DOI:10.1021/acs.analchem.4c05913
摘要
Ago broadens the target range of Argonaute and enhances sensitivity. Furthermore, incorporating deep learning significantly improves the analytical efficiency of single-particle detection. This work provides a promising analytical strategy in biosensing and promotes the application of fluorescence single-particle detection in food safety monitoring.
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