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基于十六烷基三甲基溴化铵修饰硅上银纳米颗粒自组装单层的大规模表面增强拉曼散射活性基底的面部制造用于分析应用。

Facial Fabrication of Large-Scale SERS-Active Substrate Based on Self-Assembled Monolayer of Silver Nanoparticles on CTAB-Modified Silicon for Analytical Applications.

作者信息

Guo Juanjuan, Xu Yang, Fu Caili, Guo Longhua

机构信息

College of Oceanology and Food Sciences, Quanzhou Normal University, Quanzhou 362000, China.

College of Physics & Information Engineering, Quanzhou Normal University, Quanzhou 362000, China.

出版信息

Nanomaterials (Basel). 2021 Nov 30;11(12):3250. doi: 10.3390/nano11123250.

Abstract

Surface-enhanced Raman spectroscopy (SERS) has been proven to be a promising analytical technique with sensitivity at the single-molecule level. However, one of the key problems preventing its real-world application lies in the great challenges that are encountered in the preparation of large-scale, reproducible, and highly sensitive SERS-active substrates. In this work, a new strategy is developed to fabricate an Ag collide SERS substrate by using cetyltrimethylammonium bromide (CTAB) as a connection agent. The developed SERS substrate can be developed on a large scale and is highly efficient, and it has high-density "hot spots" that enhance the yield enormously. We employed 4-methylbenzenethiol(4-MBT) as the SERS probe due to the strong Ag-S linkage. The SERS enhancement factor (EF) was calculated to be ~2.6 × 10. The efficacy of the proposed substrate is demonstrated for the detection of malachite green (MG) as an example. The limit of detection (LOD) for the MG assay is brought down to 1.0 × 10 M, and the relative standard deviation (RSD) for the intensity of the main Raman vibration modes (1620, 1038 cm) is less than 20%.

摘要

表面增强拉曼光谱(SERS)已被证明是一种很有前景的分析技术,具有单分子水平的灵敏度。然而,阻碍其实际应用的关键问题之一在于,在制备大规模、可重现且高灵敏度的SERS活性基底时会遇到巨大挑战。在这项工作中,开发了一种新策略,通过使用十六烷基三甲基溴化铵(CTAB)作为连接剂来制备银碰撞SERS基底。所开发的SERS基底能够大规模制备,效率高,并且具有高密度的“热点”,极大地提高了产率。由于存在强Ag-S键,我们使用4-甲基苯硫酚(4-MBT)作为SERS探针。计算得出SERS增强因子(EF)约为2.6×10。以孔雀石绿(MG)检测为例,证明了所提出基底的有效性。MG检测的检测限降至1.0×10 M,主要拉曼振动模式(1620、1038 cm)强度的相对标准偏差(RSD)小于20%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6173/8708957/bbabfceeaba4/nanomaterials-11-03250-sch001.jpg

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