• Spectroscopy and Spectral Analysis
  • Vol. 44, Issue 5, 1201 (2024)
LIU Zhen-fang, HUANG Min*, ZHU Qi-bing, ZHAO Xin, and YAN Sheng-q
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  • [in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2024)05-1201-08 Cite this Article
    LIU Zhen-fang, HUANG Min, ZHU Qi-bing, ZHAO Xin, YAN Sheng-q. Spatially Offset Raman Spectroscopy Analysis Technology and Application in Food Subsurface Detection[J]. Spectroscopy and Spectral Analysis, 2024, 44(5): 1201 Copy Citation Text show less

    Abstract

    patially Offset Raman Spectroscopy (SORS) is a novel Raman spectroscopy technique for deep nondestructive turbid/layered media testing. Raman signals at different depths of layered materials have regular changes that contribute to detectors with the increase of transmission distance. Therefore, the SORS collects Raman spectra of offset laser points at different distances, combines the methods of optimal offset signal enhancement, subsurface spectral peak identification, subsurface signal separation, etc. , to reduce the interference of the surface layer, and obtains pure Raman signals of subsurface materials. Then, the non-destructive qualitative and quantitative detection of subsurface materials is realized by the molecular specificity of Raman. This paper introduces the basic concept and measurement technology of SORS, and the analysis method of SORS and application of the technique in food subsurface inspection are described in detail. Finally, the limitations of SORS are discussed, and the future development of this field is prospected.
    LIU Zhen-fang, HUANG Min, ZHU Qi-bing, ZHAO Xin, YAN Sheng-q. Spatially Offset Raman Spectroscopy Analysis Technology and Application in Food Subsurface Detection[J]. Spectroscopy and Spectral Analysis, 2024, 44(5): 1201
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