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Proceedings Paper

Spatially offset Raman spectroscopy detection for food additives components
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Paper Abstract

In order to further improve the supervision of food safety, the research of rapid inspection technology for food additives with package, which can identify the ingredients of additives quickly and accurately without destroying, has become an urgent need for social development. Spatially offset Raman spectroscopy (SORS), as a derivative of new Raman spectroscopy technology, can further suppress Raman scattering and fluorescence of surface samples, and solve the problem of subsurface sample detection. SORS mainly utilizes the lateral scattering of photons generated by excitation light in multi-layered samples. By controlling the spatial offset (▵S) between the collection point and the incident point, it can realize rapid, accurate and non-destructive detection of the food additives covered by the opaque/semi-transparent medium. This work established an optical detection system based on SORS technology. Sodium nitrite and sodium benzoate samples were placed in PTFE containers instead of packaging, and the best spectral intensities were obtained by changing the offset distance ▵S. Compared with conventional Raman spectroscopy (CRS), the relative intensity of SORS spectra is significantly increased, and the spectra of food additives can be distinguished efficiently.

Paper Details

Date Published: 18 December 2019
PDF: 4 pages
Proc. SPIE 11337, AOPC 2019: Optical Spectroscopy and Imaging, 113371C (18 December 2019); doi: 10.1117/12.2548059
Show Author Affiliations
Yuchen Li, China Institute of Atomic Energy (China)
Qiu-shi Liu, China Institute of Atomic Energy (China)
Baozhen Zhao, China Institute of Atomic Energy (China)
Chong Lv, China Institute of Atomic Energy (China)
Xianghao Meng, China Institute of Atomic Energy (China)
Zhixing Gao, China Institute of Atomic Energy (China)
Jing Li, China Institute of Atomic Energy (China)
Xiaohua Zhang, China Institute of Atomic Energy (China)

Published in SPIE Proceedings Vol. 11337:
AOPC 2019: Optical Spectroscopy and Imaging
Jin Yu; Zhe Wang; Vincenzo Palleschi; Mengxia Xie; Yuegang Fu, Editor(s)

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