<br>pH 响应性 DNA 功能化液态金属有机框架（L-MOF）作为分子海绵，用于叶酸的超灵敏和无标记 SERS 检测,Small

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pH 响应性 DNA 功能化液态金属有机框架（L-MOF）作为分子海绵，用于叶酸的超灵敏和无标记 SERS 检测
Small ( IF 13.0 ) Pub Date : 2025-02-21 , DOI: 10.1002/smll.202412267
Xu Liu ₁ , Liliia Glazutdinova ₁ , Guangrun Wu ₂ , Wenxu Yang ₁ , Hongbo Liu ₁ , Yifu Shen ₁ , Siyao Zhang ₁ , Jing Wu ₃ , Haoyu Ji ₄ , Lixin Gao ₁ , Xinlu Gao ₅ , Jiayi Zhao ₁ , Yang Li _{1,

2,

5} , Yu Liu ₁

Affiliation

尽管“热点”已被用于增强拉曼信号以检测各种生物分子，但精确调节增强基材内的“热点”尺寸仍然是一项重大挑战。本研究介绍了一种新型的、易于制造的表面增强拉曼光谱传感器 T6（OH⁻）/Ag@CC。该平台采用长度可调的单链 DNA 来介导银纳米颗粒（Ag NPs）的自组装，从而产生具有空间组织金属-有机框架结构的均匀增强底物。DNA 介导的自组装表现出 pH 响应特性，能够精确控制“热点”分布。全面的表征和拉曼增强实验表明，在碱性条件下可实现最佳的自组装和信号放大。该传感器表现出优异的重现性和灵敏度，能够对叶酸进行无标记检测，检测限低至 0.1 ng mL−1。使用真实世界的食品和生物样品进行验证，突出了其准确检测和识别菠菜、鸡肝和各种人类生物体液（包括母乳、血清、红细胞和尿液）中叶酸指纹的能力。特征峰强度的分析强调了该方法作为一种通用且统一的方法对不同样品基质进行叶酸检测的潜力。

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pH‐Responsive DNA‐Functionalized Liquid Metal–Organic Frameworks (L‐MOFs) as Molecular Sponges for Ultrasensitive and Label‐Free SERS Detection of Folic Acid

Although “hotspots” have been utilized to enhance Raman signals for detecting various biomolecules, precisely regulating “hotspot” dimensions within enhancement substrates remains a significant challenge. This study introduces a novel, easily fabricated surface‐enhanced Raman spectroscopy sensor, T6(OH⁻)/Ag@CC. This platform employs single‐stranded DNA of adjustable lengths to mediate the self‐assembly of silver nanoparticles (Ag NPs), resulting in a uniformly enhanced substrate with a spatially organized metal–organic frameworks architecture. The DNA‐mediated self‐assembly exhibits pH‐responsive characteristics, enabling precise control over “hotspot” distribution. Comprehensive characterization and Raman enhancement experiments demonstrate that optimal self‐assembly and signal amplification are achieved under alkaline conditions. The sensor demonstrates excellent reproducibility and sensitivity, enabling the label‐free detection of folic acid with a detection limit as low as 0.1 ng mL−1. Validation using real‐world food and biological samples highlights its ability to accurately detect and identify folic acid fingerprints in spinach, chicken liver, and various human biological fluids, including breast milk, serum, erythrocytes, and urine. The analysis of characteristic peak intensities underscores the potential of this method as a versatile and unified approach for folic acid detection across diverse sample matrices.

更新日期：2025-02-21

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