Spatially offset Raman spectroscopy detection for food additives components

Yuchen Li; Qiu-shi Liu; Baozhen Zhao; Chong Lv; Xianghao Meng; Zhixing Gao; Jing Li; Xiaohua Zhang

doi:10.1117/12.2548059

18 December 2019 Spatially offset Raman spectroscopy detection for food additives components

Yuchen Li, Qiu-shi Liu, Baozhen Zhao, Chong Lv, Xianghao Meng, Zhixing Gao, Jing Li, Xiaohua Zhang

Proceedings Volume 11337, AOPC 2019: Optical Spectroscopy and Imaging; 113371C (2019) https://doi.org/10.1117/12.2548059
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China

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.

Citation Download Citation

Yuchen Li, Qiu-shi Liu, Baozhen Zhao, Chong Lv, Xianghao Meng, Zhixing Gao, Jing Li, and Xiaohua Zhang "Spatially offset Raman spectroscopy detection for food additives components", Proc. SPIE 11337, AOPC 2019: Optical Spectroscopy and Imaging, 113371C (18 December 2019); https://doi.org/10.1117/12.2548059

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