Suppr超能文献

基于免疫分析样识别机制的侧向流策略用于快速 microRNA 分析。

An immunoassay-like recognition mechanism-based lateral flow strategy for rapid microRNA analysis.

机构信息

Key Laboratory of Applied Surface and Colloid Chemistry Ministry of Education, Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an 710119, Shaanxi Province, P. R. China.

出版信息

Chem Commun (Camb). 2023 Oct 4;59(79):11851-11854. doi: 10.1039/d3cc03788f.

Abstract

A rapid lateral flow assay (LFA) is developed for the colorimetric and surface-enhanced Raman scattering (SERS) dual-mode detection of microRNA (miRNA) based on the robust immunoassay-like (immuno-like) recognition mechanism of S9.6 antibody to DNA/miRNA duplexes. Different from the traditional target-mediated sandwich-type hybridization-based LFA methods, the formation of S9.6 antibody/miRNA/DNA complexes is more rapid and stable, achieving 40 times higher sensitivity with only 10 min assaying time. Furthermore, taking benefit of the versatility of the immuno-like recognition mode, the multiplexed detection of miRNAs can be realized with the SERS signal readout, providing a versatile LFA design towards sensitive, specific, and multiplexed miRNA analysis.

摘要

一种基于 S9.6 抗体对 DNA/miRNA 双链体的稳健免疫类似(immuno-like)识别机制的比色和表面增强拉曼散射(SERS)双模检测微 RNA(miRNA)的快速侧向流动分析(LFA)被开发出来。与传统的基于靶介导的夹心型杂交的 LFA 方法不同,S9.6 抗体/miRNA/DNA 复合物的形成更快更稳定,仅需 10 分钟的测定时间,灵敏度提高了 40 倍。此外,利用免疫类似识别模式的多功能性,可以通过 SERS 信号读出实现 miRNA 的多重检测,为敏感、特异和多重 miRNA 分析提供了多功能的 LFA 设计。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验