کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5353651 | 1503580 | 2016 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Silver dendrites decorated filter membrane as highly sensitive and reproducible three dimensional surface enhanced Raman scattering substrates
ترجمه فارسی عنوان
دندریت های نقره تزئین غشاء فیلتر به عنوان سطح حساس و قابل بازیافت سه بعدی افزایش راندمان پراکندگی رامان
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موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی تئوریک و عملی
چکیده انگلیسی
We report a novel and flexible surface enhanced Raman scattering (SERS) substrate based on filter membranes decorated with silver dendritic nanostructures. The SERS-active substrate was fabricated via electrodeposition, where hierarchical silver dendrites were uniformly and firmly deposited within and on the top of the porous filter membranes. The morphological evolution of silver dendrites was investigated at different deposition times, and the effect of the components of electrolyte was also studied. Finite difference time domain (FDTD) simulations were performed to reveal the distribution of electric filed when Ag dendrites were illuminated with 785Â nm light. Such 3D SERS-active substrate exhibits extremely high sensitivity and excellent reproducibility. Raman signal sensitivity for rhodamine 6G was tested as high as 1Â ÃÂ 10â11Â M with 12% average intensity variations at the major Raman peak. Additionally, the as-synthesized robust substrate displays high stability under an ambient condition for several months. This 3D eco-friendly filter membrane-based substrate provides not only high density of SERS hot spots, but also a very large area for capturing target analytes. It has potential applications for the detection of trace organic contaminants in the environment.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Surface Science - Volume 387, 30 November 2016, Pages 431-436
Journal: Applied Surface Science - Volume 387, 30 November 2016, Pages 431-436
نویسندگان
Bin Zhao, Ya Lu, Congyun Zhang, Yizheng Fu, Sina Moeendarbari, Sandesh R. Shelke, Yaqing Liu, Yaowu Hao,