题目：

Fast assembling microarrays of superparamagnetic Fe3O4@Au nanoparticle clusters as reproducible substrates for surface-enhanced Raman scattering

作者：

Min Ye,^‡a Zewen Wei,^‡b Fei Hu,^a Jianxin Wang,^a Guanglu Ge,^b Zhiyuan Hu,^b Mingwang Shao,*^a Shuit-Tong Lee^a, and Jian Liu*^a

单位：

^aInstitute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-based Functional Materials & Devices, Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou, Jiangsu Province 215123, China

^bNational Center for Nanoscience & Technology (NCNST), Chinese Academy of Science (CAS), No. 11 ZhongGuanCun BeiYiTiao, Beijing 100190, China

摘要：

It is currently a very active research area to develop new types of substrates which integrate various nanomaterials for surface-enhanced Raman scattering (SERS) techniques. Here we report a unique approach to prepare SERS substrates with reproducible performance. It features silicon mold-assisted magnetic assembling of superparamagnetic Fe₃O₄@Au nanoparticle clusters (NCs) into arrayed microstructures on a wafer scale. This approach enables the fabrication of both silicon-based and hydrogel-based substrates in a sequential manner. We have demonstrated that strong SERS signals can be harvested from these substrates due to an efficient coupling effect between Fe₃O₄@Au NCs, with enhancement factors >10⁶. These substrates have been confirmed to provide reproducible SERS signals, with low variations in different locations or batches of samples. We investigate the spatial distributions of electromagnetic field enhancement around Fe₃O₄@Au NCs assemblies using finite-difference-time-domain (FDTD) simulations. The procedure to prepare the substrates is straightforward and fast. The silicon mold can be easily cleaned out and refilled with Fe₃O₄@Au NCs assisted by a magnet, therefore being re-useable for many cycles. Our approach has integrated microarray technologies and provided a platform for thousands of independently addressable SERS detection, in order to meet the requirements of a rapid, robust, and high throughput performance.

影响因子：

7.394

分区情况：

1区

链接：

http://pubs.rsc.org/en/content/articlepdf/2015/nr/c5nr02491a?page=search