Huang Jie, Shi Tielin, Tang Zirong, Zhu Wei, Liao Guanglan, Li Xiaoping, Gong Bo, Zhou Tengyuan
State Key Lab of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, China.
Appl Spectrosc. 2017 Aug;71(8):1808-1815. doi: 10.1177/0003702817696088. Epub 2017 Apr 24.
We propose a bi-objective optimization model for extracting optical fiber background from the measured surface-enhanced Raman spectroscopy (SERS) spectrum of the target sample in the application of fiber optic SERS. The model is built using curve fitting to resolve the SERS spectrum into several individual bands, and simultaneously matching some resolved bands with the measured background spectrum. The Pearson correlation coefficient is selected as the similarity index and its maximum value is pursued during the spectral matching process. An algorithm is proposed, programmed, and demonstrated successfully in extracting optical fiber background or fluorescence background from the measured SERS spectra of rhodamine 6G (R6G) and crystal violet (CV). The proposed model not only can be applied to remove optical fiber background or fluorescence background for SERS spectra, but also can be transferred to conventional Raman spectra recorded using fiber optic instrumentation.
我们提出了一种双目标优化模型，用于在光纤表面增强拉曼光谱（SERS）应用中从目标样品的测量表面增强拉曼光谱（SERS）中提取光纤背景。该模型通过曲线拟合构建，将SERS光谱分解为几个单独的谱带，同时将一些解析出的谱带与测量的背景光谱进行匹配。选择皮尔逊相关系数作为相似性指标，并在光谱匹配过程中追求其最大值。提出了一种算法，并进行了编程，成功地从罗丹明6G（R6G）和结晶紫（CV）的测量SERS光谱中提取了光纤背景或荧光背景。所提出的模型不仅可以应用于去除SERS光谱的光纤背景或荧光背景，还可以转移到使用光纤仪器记录的传统拉曼光谱中。
