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Facile Fabrication of Micro/Nano Hierarchical SERS Sensor via Anisotropic Etching and Electrochemical Treatment for Malachite Green Detection

Department of Mechanical Engineering, National Chung Hsing University, Taichung 402, Taiwan
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Appl. Sci. 2019, 9(23), 5237; https://doi.org/10.3390/app9235237
Received: 18 November 2019 / Revised: 28 November 2019 / Accepted: 29 November 2019 / Published: 2 December 2019
We propose a facile method to produce micro/nano hierarchical surface-enhanced Raman scattering (SERS) active substrates using simple steps and inexpensive costs. The proposed SERS substrate is a silicon pyramid array covered by a nanostructured gold film (AuNS @ SiPA). Through finite element method (FEM) simulation, we showed that many strong local electric field enhancements (hot spots) were formed between the nano-gap of gold nanostructures. In addition, the micron-scale pyramid structure not only increases the sensing surface area of the sensor, but also helps trap light. By combining these micro and nano structures, the proposed micro/nano hierarchical SERS sensor exhibited high sensitivity. Experimental results confirmed that the AuNS @ SiPA substrate has high sensitivity. The SERS signal enhancement factor obtained from the Rhodamine 6G (R6G) probe molecules was as high as 1 × 107 and the SERS substrates were found to be able to detect a very low concentration of 0.01 nM malachite green (MG) solution. Therefore, this study provides a novel and practical method for fabricating SERS substrates that can facilitate the use of SERS in medicine, food safety, and biotechnology. View Full-Text
Keywords: SERS; surface-enhanced Raman scattering; gold nanostructure; micro/nano hierarchical; micro-pyramid array; malachite green; MG SERS; surface-enhanced Raman scattering; gold nanostructure; micro/nano hierarchical; micro-pyramid array; malachite green; MG
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Huang, C.-Y.; Chien, C.-H. Facile Fabrication of Micro/Nano Hierarchical SERS Sensor via Anisotropic Etching and Electrochemical Treatment for Malachite Green Detection. Appl. Sci. 2019, 9, 5237.

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