| 光谱学与光谱分析 |
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| A Spectrum Signals Detection Method for Surface Enhanced Raman Scattering under High Fluorescence and Background Noise |
| ZHAO Zhi-gang1, ZHAO Wei1*, Claire Gu2, HUANG Song-ling1 |
1. State Key Laboratory of Electric Power System and Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
2. Department of Electrical Engineering, University of California at Santa Cruz, Santa Cruz, CA 95064, USA |
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Abstract A spectrum signals detection method has been designed for surface enhanced Raman scattering (SERS) under high fluorescence and background noise. The components of the fluorescence and background noise in SERS spectrum signal were analyzed first. Then they were evaluated by some models, such as polynomial model and AR model. By analysing the difference between evaluation result and original data, the Raman spectrum peaks can be detected. After being used in Rhodamine 6G, prostate-specific antigen and PH sensing experiment, the method was proved to be of high performance and practicability for SERS signal processing.
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Received: 2009-09-01
Accepted: 2009-12-06
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Corresponding Authors:
ZHAO Wei
E-mail: zhaowei@tsinghua.edu.cn
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