基于自适应免疫算法重叠拉曼谱峰的解析

拉曼光谱测量速度快,可以实现原位实时测量,现已成为过程控制中物料检测的一种重要手段。但由于环境的复杂性以及拉曼光谱信号特点,目前在线检测时难免会出现一些重叠谱峰。基于免疫算法特点,将该方法用于芳烃重叠拉曼谱峰信号的解析中,提取混合物质中单个组分拉曼谱峰信息进行分析,结果表明该方法解析快速、定量准确,相对误差低于1%,是解析重叠拉曼光谱信号的有效方法。针对现场样品检测中出现的重叠谱峰伴随荧光背景信号,提出了结合独立成分分析的自适应免疫算法,有效地解析出荧光背景信号,为复杂样品的拉曼光谱检测分析提供了新的手段。

Resolution of overlapping Raman signals based on an adaptiveI immune algorithm

Raman spectroscopy can be used in situ real-time measurement because it's rapid, and it is helpful to real-time online monitoring of process control. With the complexity of the environment and the characteristics of Raman signal, it is hard to avoid some overlapping spectrum peaks. Based on the advantage of immune algorithm, an immune algorithm (IA) was applied to the overlapping Raman signals of aromatics. With extraction of each single Raman spectrum peak signal from the mixture signals for resolution, Results show that the method is effective to identify the overlapped Raman signal for its fast resolution and accurate quantitative determination with the relative error less than 1%. For the overlapping Raman signals with fluorescence background disturbance, we proposed an adaptive immune algorithm, which is combined with independent component analysis. It can effectively resolve the fluorescence background signal, and it provides a new way for Raman spectra analysis of complex samples.