ZHAO Miao-miao,LIU Wen-yao,DU Jian-gong,GUO Xu-dong,WANG Lei,XIA Mei-jing,TANG Jun.Multidimensional Co3O4 nano sponge for the highly sensitive SERS applications[J].Optoelectronics Letters,2017,13(1):38-41
Multidimensional Co3O4 nano sponge for the highly sensitive SERS applications
Author NameAffiliation
ZHAO Miao-miao Key Laboratory on Electronic Test &
Measurement for National Defense Science and Technology, North University of China, Taiyuan 030051, China 
LIU Wen-yao Key Laboratory on Electronic Test &
Measurement for National Defense Science and Technology, North University of China, Taiyuan 030051, China 
DU Jian-gong Key Laboratory on Electronic Test &
Measurement for National Defense Science and Technology, North University of China, Taiyuan 030051, China 
GUO Xu-dong Key Laboratory on Electronic Test &
Measurement for National Defense Science and Technology, North University of China, Taiyuan 030051, China 
WANG Lei Key Laboratory on Electronic Test &
Measurement for National Defense Science and Technology, North University of China, Taiyuan 030051, China 
XIA Mei-jing Key Laboratory on Electronic Test &
Measurement for National Defense Science and Technology, North University of China, Taiyuan 030051, China 
TANG Jun Key Laboratory on Electronic Test &
Measurement for National Defense Science and Technology, North University of China, Taiyuan 030051, China 
Abstract:
      In this work, surface enhanced Raman spectroscopy (SERS) substrates with Ag nanoparticles (NPs) decorated Co3O4 nanowires (NWs) grafted on the three-dimensional (3D) network architecture of Ni foam (denoted as Ag-NP@Co3O4- NW/Ni-foam) arrays are manufactured. In the experiment, the hierarchical Ag-NP@Co3O4-NW/Ni-foam arrays exhibit strong SERS activity due to the higher density of the “hot spots” created from the large quantities of neighboring Ag NPs. Using this hierarchical 3D SERS substrates, the crystal violet (a banned drug of aquaculture) with concentration down to 10-14 mol/L can be detected, which shows potential application in SERS-based rapid trace-level detection of harmful food additives.
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