无标签的SERS纯素小分子生物标记物的歧视:DFT对界面绑定机制的洞察
Shuai Lian1,2, Zhen Fan1, Hui Li1
1School of Science, Changchun University of Science and Technology, Changchun 130022, China.
Langmuir : the ACS journal of surfaces and colloids
|January 19, 2026
概括
密度函数理论揭示了尿酸和桑如何与黄金表面相互作用,以进行表面增强的拉曼散射 (SERS) 检测. 这使得一种敏感的,无标签的策略能够用于分析类似的小分子生物标志物.
科学领域:
- 计算化学计算化学
- 频谱学是一种光谱学.
- 生物标志物检测检测 生物标志物检测
背景情况:
- 尿酸 (UA) 和山丁 (Xa) 是结构相似的小分子,具有作为生物标记物的潜在作用.
- 表面增强拉曼散射 (SERS) 是一种敏感的分子检测技术.
- 了解分子-基板相互作用对于优化基于SERS的传感至关重要.
研究的目的:
- 通过使用DFT,研究UA/Xa和Au增强基质之间的相互作用机制.
- 探索无标签SERS检测策略对UA和Xa的理论可行性.
- 阐明管理这些分子SERS增强的物理原理.
主要方法:
- 使用密度函数理论 (DFT) 的计算.
- 计算了分子静电电位 (ESP),结合能,边界分子轨道 (FMO) 和电荷密度差异 (CDD).
- 分析了UA/Xa-Au6复合物的理论拉曼/SERS光谱.
主要成果:
- DFT计算确定了UA/Xa-Au相互作用的潜在活性位点 (碳基,N7).
- 稳定的分子-金属复合体通过结合能计算得到证实.
- 观察到电荷转移激发和选择性光谱增强,根据对接配置而有所不同.
结论:
- 一个无标签,敏感和高通量SERS检测策略对UA和Xa在理论上是可行的.
- 这项研究加深了对SERS分子基质相互作用的理解.
- 这项工作为检测结构相似的小分子生物标记物提供了有希望的方法.
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