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作为表面增强拉曼光谱活性平台的3D分形:用于气态G型神经毒剂检测的制备与评估

3D Fractals as SERS Active Platforms: Preparation and Evaluation for Gas Phase Detection of G-Nerve Agents.

作者信息

Lafuente Marta, Berenschot Erwin J W, Tiggelaar Roald M, Mallada Reyes, Tas Niels R, Pina Maria P

机构信息

Nanoscience Institute of Aragon, Department of Chemical & Environmental Engineering, University of Zaragoza, Edif I+D+i, Campus Río Ebro, C/Mariano Esquillor, s/n, 50018 Zaragoza, Spain.

Mesoscale Chemical Systems, MESA+ Institute for Nanotechnology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.

出版信息

Micromachines (Basel). 2018 Jan 31;9(2):60. doi: 10.3390/mi9020060.

DOI:10.3390/mi9020060
PMID:30393336
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6187359/
Abstract

One of the main limitations of the technique surface-enhanced Raman scattering (SERS) for chemical detection relies on the homogeneity, reproducibility and reusability of the substrates. In this work, SERS active platforms based on 3D-fractal microstructures is developed by combining corner lithography and anisotropic wet etching of silicon, to extend the SERS-active area into 3D, with electrostatically driven Au@citrate nanoparticles (NPs) assembly, to ensure homogeneous coating of SERS active NPs over the entire microstructured platforms. Strong SERS intensities are achieved using 3D-fractal structures compared to 2D-planar structures; leading to SERS enhancement factors for R6G superior than those merely predicted by the enlarged area effect. The SERS performance of Au monolayer-over-mirror configuration is demonstrated for the label-free real-time gas phase detection of 1.2 ppmV of dimethyl methylphosphonate (DMMP), a common surrogate of G-nerve agents. Thanks to the hot spot accumulation on the corners and tips of the 3D-fractal microstructures, the main vibrational modes of DMMP are clearly identified underlying the spectral selectivity of the SERS technique. The Raman acquisition conditions for SERS detection in gas phase have to be carefully chosen to avoid photo-thermal effects on the irradiated area.

摘要

表面增强拉曼散射(SERS)技术用于化学检测的主要局限性之一在于基底的均匀性、可重复性和可重复使用性。在这项工作中,通过结合角光刻和硅的各向异性湿法蚀刻,开发了基于三维分形微结构的SERS活性平台,将SERS活性区域扩展到三维,通过静电驱动的金@柠檬酸盐纳米颗粒(NPs)组装,确保在整个微结构平台上均匀涂覆SERS活性NPs。与二维平面结构相比,使用三维分形结构可实现更强的SERS强度;导致罗丹明6G的SERS增强因子优于仅由面积扩大效应预测的值。展示了金单层覆盖镜面配置的SERS性能,用于对1.2 ppmV的甲基膦酸二甲酯(DMMP,一种常见的G类神经毒剂替代物)进行无标记实时气相检测。由于三维分形微结构的角和尖端上的热点积累,在SERS技术的光谱选择性下,DMMP的主要振动模式被清晰识别。必须仔细选择气相中SERS检测的拉曼采集条件,以避免对辐照区域产生光热效应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/862fcae0b317/micromachines-09-00060-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/d99b31e76c2d/micromachines-09-00060-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/aa91b4c3ca82/micromachines-09-00060-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/83dfc5e11591/micromachines-09-00060-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/70f502ee7fc9/micromachines-09-00060-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/8ddb95a34cc3/micromachines-09-00060-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/77f645ee87da/micromachines-09-00060-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/7a9b94243f5f/micromachines-09-00060-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/28863d257fe3/micromachines-09-00060-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/2432bf85e323/micromachines-09-00060-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/f3cfcc03d275/micromachines-09-00060-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/862fcae0b317/micromachines-09-00060-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/d99b31e76c2d/micromachines-09-00060-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/aa91b4c3ca82/micromachines-09-00060-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/83dfc5e11591/micromachines-09-00060-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/70f502ee7fc9/micromachines-09-00060-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/8ddb95a34cc3/micromachines-09-00060-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/77f645ee87da/micromachines-09-00060-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/7a9b94243f5f/micromachines-09-00060-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/28863d257fe3/micromachines-09-00060-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/2432bf85e323/micromachines-09-00060-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/f3cfcc03d275/micromachines-09-00060-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d81/6187359/862fcae0b317/micromachines-09-00060-g011.jpg

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