Versatile Approach to Self‐Assembly of Surface Modified Nanoparticles into SERS‐Active Nanoclusters

IF 2.7 4区 材料科学 Q3 CHEMISTRY, PHYSICAL Particle & Particle Systems Characterization Pub Date : 2024-04-15 DOI:10.1002/ppsc.202400034
Min Zhang, Jie Liu, Xun Li, Xiaoyu Zhao, Zhiqun Cheng, Tian‐Song Deng
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Abstract

A versatile method is invented to self‐assemble gold nanoparticles (GNPs) into nanoclusters (NCs) of various morphologies. By storing the particles in toluene, a highly non‐polar solvent, under conditions that ensure particle stability, the success rate of subsequent assembly can be enhanced. Additionally, conducting particle self‐assembly at a stirring speed of 200 rpm allows the NCs to maintain a spherical shape. The relative standard deviation (RSD) of Raman spectral peaks of multiple NCs used as surface‐enhanced Raman spectroscopy (SERS) substrates is calculated to be less than 10%, effectively addressing the issue of low repeatability when using NCs as SERS substrates. Furthermore, even at an analyte concentration reduced to 10−9 m, a SERS characteristic peak intensity of approximately 2 × 103 is measurable, demonstrating the high sensitivity of the assembled structures. Finally, by detecting SERS signals from NCs of varying sizes, the intensities of characteristic peaks tend to converge, eliminating the influence of morphology and size on SERS detection.

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将表面修饰的纳米粒子自组装成 SERS 活性纳米团簇的多功能方法
发明了一种将金纳米粒子(GNPs)自组装成各种形态的纳米团簇(NCs)的多功能方法。在确保颗粒稳定性的条件下,将颗粒储存在高非极性溶剂甲苯中,可提高后续组装的成功率。此外,以每分钟 200 转的搅拌速度进行颗粒自组装可使 NC 保持球形。根据计算,用作表面增强拉曼光谱(SERS)基底的多个 NC 的拉曼光谱峰的相对标准偏差(RSD)小于 10%,从而有效解决了将 NC 用作 SERS 基底时重复性低的问题。此外,即使分析物浓度降低到 10-9 m,也能测量到约 2 × 103 的 SERS 特征峰强度,这证明了组装结构的高灵敏度。最后,通过检测不同尺寸 NC 的 SERS 信号,特征峰的强度趋于一致,消除了形态和尺寸对 SERS 检测的影响。
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来源期刊
Particle & Particle Systems Characterization
Particle & Particle Systems Characterization 工程技术-材料科学:表征与测试
CiteScore
5.50
自引率
0.00%
发文量
114
审稿时长
3.0 months
期刊介绍: Particle & Particle Systems Characterization is an international, peer-reviewed, interdisciplinary journal focusing on all aspects of particle research. The journal joined the Advanced Materials family of journals in 2013. Particle has an impact factor of 4.194 (2018 Journal Impact Factor, Journal Citation Reports (Clarivate Analytics, 2019)). Topics covered include the synthesis, characterization, and application of particles in a variety of systems and devices. Particle covers nanotubes, fullerenes, micelles and alloy clusters, organic and inorganic materials, polymers, quantum dots, 2D materials, proteins, and other molecular biological systems. Particle Systems include those in biomedicine, catalysis, energy-storage materials, environmental science, micro/nano-electromechanical systems, micro/nano-fluidics, molecular electronics, photonics, sensing, and others. Characterization methods include microscopy, spectroscopy, electrochemical, diffraction, magnetic, and scattering techniques.
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