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合理捕获的多晶矿在兰化物MOF子中,用于氨介导核酸智能可视化

Shuo Wang^1,2, Zhongyu Wei¹, Yumin Feng¹

¹Department of Pharmacy, Zhongnan Hospital of Wuhan University, Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (Ministry of Education), School of Pharmaceutical Sciences, Wuhan University, Wuhan, 430071, China.

Small (Weinheim an der Bergstrasse, Germany)

|October 22, 2025

概括

矿纳米粒子 (PNPs) 显示出光生物传感的前景,但缺乏稳定性. 将它们集成到化金属有机框架 (Ln-MOFs) 中,提高了稳定性,并使核酸测试的敏感氨检测成为可能.

科学领域:

材料科学材料科学材料科学
纳米技术纳米技术
化学工程是化学工程的重要组成部分.

背景情况:

矿纳米粒子 (PNPs) 对光生物传感有前途,但在极性溶剂中稳定性不佳.
金属有机框架 (MOF),特别是化MOF (Ln-MOF),为材料集成提供了增强的稳定性和可调节性质.

研究的目的:

通过将PNP集成到Ln-MOF中来开发一种稳定的混合材料,以改善光生物传感.
阐明这些混合材料增强的物理和光特性背后的机制.
创建一个敏感和特定的生物传感平台,用于现场核酸检测.

主要方法:

理论计算确定了2,2'-双二-5,5'-二糖酸作为Eu3+敏感化和Pb2+化学吸收的配体.
使用4-甲酸用于in situ矿生长,构建了层次化的Eu-MOF.
通过S_N2反应生成Zwitterionic配体,以在极性溶剂中产生稳定的PNP分散.

主要成果:

混合PNPs@Ln-MOF显示光寿命增加了50倍,并在极性溶剂中增强了稳定性.
观察到一种高度敏感的光颜色变化作为对氨的反应.
开发的设备使用CRISPR/Cas技术实现了精确的现场核酸测定,检测极限 (LOD) 为200 fM,使用CRISPR/Cas技术.

结论:

将PNP整合到Ln-MOF中有效地解决了极性溶剂的稳定性问题.
混合材料为氨介导生物传感提供了一个可通用的策略.
这项工作开创了基于矿的混合材料在敏感的现场生物传感中的先进应用.

关键词:

生物传感器生物传感器密度函数理论密度函数理论兰化金属有机框架佩洛夫斯基特是一种矿.

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