Yanfen Wang , Pengfei Jia , Jie Ai , Gangzheng Liu , Shuangshuang Liu , Juan Gao , Zhaoqi Sun
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引用次数: 0
Abstract
Novel Ag/ZnO composite nanoflowers (CNFs) had been designed as a surface-enhanced Raman scattering (SERS) substrate for organic molecule detection. Flower-like ZnO architecture was firstly synthesized by a low-temperature precipitation method, and subsequently Ag nanoparticles were decorated on ZnO nanoflowers through a photochemical reaction. The optimal Ag component was investigated by changing the photo-reduction time of Ag+ in the ZnO precursor solution. It is found that the Ag nanoparticles with suitable size and crystallinity are significantly related to the light absorption and Raman signals for Ag/ZnO substrate. For Rhodamine 6G (R6G) as probe molecules, the optimal Ag/ZnO-40 min CNFs achieve a low detection limit of 1.0 × 10−12 M and a high enhanced factor (EF) of 1.74 × 106. Due to its excellent photocatalytic activity, the Ag/ZnO active substrate effectively degrades R6G molecules adsorbed on the surface, displaying an excellent self-cleaning property and stable recyclability. Such a superior SERS performance can be attributed to the synergy effect of two components (Ag nanoparticles and ZnO nanoflowers) such as its unique architecture, charge transfer and high-density hot spots.
期刊介绍:
Optical Materials has an open access mirror journal Optical Materials: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review.
The purpose of Optical Materials is to provide a means of communication and technology transfer between researchers who are interested in materials for potential device applications. The journal publishes original papers and review articles on the design, synthesis, characterisation and applications of optical materials.
OPTICAL MATERIALS focuses on:
• Optical Properties of Material Systems;
• The Materials Aspects of Optical Phenomena;
• The Materials Aspects of Devices and Applications.
Authors can submit separate research elements describing their data to Data in Brief and methods to Methods X.