Research on peak recognition technology based on CCD signal of Raman spectra

ZHU Qian1; CHENG Ming-xiao1; DING Yan1; LI Shi-wei2; LIN Jin-guo1

doi:10.13873/j.1000-97872012.12.013

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Research on peak recognition technology based on CCD signal of Raman spectra

更新时间：2025-09-11

- Research on peak recognition technology based on CCD signal of Raman spectra
- Vol. 31, Issue 12, Pages: 12-15(2012)
- 作者机构：
  
  1. 南京工业大学自动化与电气工程学院
  2. 南京灼徽检测技术有限公司
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872012.12.013
  CLC： TN386.5;TN911.7
- Published：2012
- 稿件说明：
移动端阅览
[1]朱倩,程明霄,丁妍,李时伟,林锦国.基于拉曼光谱CCD信号的谱峰识别技术研究[J].传感器与微系统,2012,31(12):12-15.

ZHU Qian1, CHENG Ming-xiao1, DING Yan1, et al. Research on peak recognition technology based on CCD signal of Raman spectra[J]. 2012, 31(12): 12-15.
[1]朱倩,程明霄,丁妍,李时伟,林锦国.基于拉曼光谱CCD信号的谱峰识别技术研究[J].传感器与微系统,2012,31(12):12-15. DOI： 10.13873/j.1000-97872012.12.013.

ZHU Qian1, CHENG Ming-xiao1, DING Yan1, et al. Research on peak recognition technology based on CCD signal of Raman spectra[J]. 2012, 31(12): 12-15. DOI： 10.13873/j.1000-97872012.12.013.

摘要

针对在线拉曼光谱信号存在荧光背景和严重谱峰重叠的情况

提出了一种从含荧光背景信号中提取有用信号并对其进行充分分离的谱峰识别方法。首先采用小波变换扣除原始信号中的荧光背景（即低频成分）

然后采用免疫算法对有用信号进行分离。由于免疫算法在组分较多情况下收敛速度慢甚至不收敛

因此

又采用主成分分析（PCA）法得到累计百分比

对免疫算法中的标准信号进行加权

从而完成对重叠拉曼光谱信号正确、快速地识别

并很好的满足了在线拉曼光谱仪在工业现场谱峰识别准确快速的要求。

Abstract

Aiming at the problem of online complex Raman spectra signal with fluorescence background and serious peak overlapping

a new method is provided to extract and separate useful signals from fluorescent back-ground signals.Firstly

wavelet transform is used to deduct the fluorescent background（i.e.low frequency components）in original signal.Then immune algorithm is used to separate useful signals.Because immune algorithm may have slow convergence rate and even have non-convergence in multi-component mixture

the standard signals of immune algorithm is weighted by cumulative percentage which is obtained from principal component analysis and overlapping Raman spectra is recognized correctly and quickly.It also meets the requirements of accurate and rapid peak recognition when online Raman spectrometer is used in industry field.

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references

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拉曼光谱的应用及其进展 [J]. 胡晓红,周金池. 分析仪器 . 2011(06)

免疫算法:一种新的多组分重叠色谱信号的解析方法 [J]. 邵学广,刘智超,蔡文生. 色谱 . 2009(05)

主成分提取在遥感FTIR谱图解析中的应用 [J]. 胡兰萍,张琳,李燕,张黎明,任翌博,于佰华,王俊德. 光谱学与光谱分析 . 2007(11)

基于小波变换的全局最优独立分量分离算法 [J]. 毕雪,陈向东,李湃. 传感器与微系统 . 2007(08)

用于重叠峰分辨的卡尔曼滤波法 [J]. 何星星,贾建,何秀丽,李建平. 传感器与微系统 . 2006(12)

化学计量学方法[M]. 科学出版社 , 许禄,邵学广著, 2004

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