• Spectroscopy and Spectral Analysis
  • Vol. 37, Issue 7, 2050 (2017)
WANG Huan1、2, WANG Yong-zhi1, ZHAO Yu1, ZHU Li1, and YIN Li-hui1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2017)07-2050-07 Cite this Article
    WANG Huan, WANG Yong-zhi, ZHAO Yu, ZHU Li, YIN Li-hui. Latest Methods of Fluorescence Suppression in Raman Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2017, 37(7): 2050 Copy Citation Text show less

    Abstract

    Raman spectroscopy provides the fingerprint of the molecules, and is an important and powerful technique for analyzing the chemical composition of biological or non-biological samples. However, in many cases, the existence of the concurrent fluorescence background seriously interferes with Raman measurements. The excitation laser induced fluorescence intensity can be sometimes several orders of magnitudes higher than that of the Raman scattering signals. Such fluorescence backgrounds must be suppressed during the measurement in that Raman spectral fingerprints have to be measured accurately with high signal-to-noise ratio. A variety of techniques have been explored in researches and practical applications for this purpose. In present scientific researches,common methods include Surface Enhanced Raman Spectroscopy, Fourier Transform Raman Spectroscopy, micro-Raman Techniques and High Temperature Raman Spectroscopy Techniques.All these solve the problems such as fluorescence interference and insensitivity,which greatly expands the application range of Raman spectroscopy.These techniques may be generally grouped into the categories of physical/chemical, optical properties, chemometric methods and other unconventional methods. This review briefly describes the fundamental principle and implementation of each group of the methods, and makes comparison between those major categories of techniques.
    WANG Huan, WANG Yong-zhi, ZHAO Yu, ZHU Li, YIN Li-hui. Latest Methods of Fluorescence Suppression in Raman Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2017, 37(7): 2050
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