多路复用
登革热病毒
登革热
医学诊断
计算机科学
病毒学
生物信息学
医学
生物
病理
作者
Ziting Ma,Jiawen Guo,Lu Jiang,Suqing Zhao
出处
期刊:Talanta
[Elsevier BV]
日期:2023-10-02
卷期号:267: 125268-125268
被引量:12
标识
DOI:10.1016/j.talanta.2023.125268
摘要
Dengue is one of the most widespread and fatal arboviral infections in the world. Early detection of dengue virus (DENV) is essential to prevent the spread of the disease and provide an immediate response. The lateral flow immunoassay (LFIA) systems are low-cost, rapid, sensitive, targeted, and straightforward detection, which is an ideal early detection candidate for point-of-care testing (POCT) in dengue-affected areas. However, current commercial LFIA kits cannot fully satisfy the sensitivity, specificity, serotype differentiation, and multiplex detection requirements. Therefore, various strategies have been applied to optimize the LFIA for DENV detection, including label material improvement, optical enhancement and novel structure design. In this review, we comprehensively presented the snapshot of dengue, the principle of LFIA, and recent progress in the LFIA optimization for dengue diagnoses. Furthermore, this review also discusses insights into the prospect of LFIA dengue diagnostic methods, such as microfluidics, multiplex design, nucleic acid-typed probes and smartphone-assisted result analysis.
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