Share Email Print

Proceedings Paper

Inverse spatially offest Raman spectroscopy and its applications sub-surface material detections
Author(s): Fan Yu; Heping Li; Dongliang Song; Jie Li; Qingli He; Shuang Wang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Spatially offset Raman spectroscopy (SORS) is a new proposed technique for recovering Raman spectra from up to several millimeters beneath the surface of turbid media. Here, we presented a home-made modular inverse spatially offset Raman spectroscopy (Inverse SORS) system, which is used to acquire chemical specific information on deep layers of biological tissue. In order to demonstrate the performance of presented system, a two-layer biological model was adopted by applying paracetamol powders in pork tissue with 4 mm and 8 mm depth. The results from the model suggest that Inverse SORS not only can acquire Raman features from upper layer tissue, it could also detect the Raman signal from paracetamol powders under 8mm tissue layer using source-detector separations of up to 9 mm. After system optimization, the proposed system and its analytical methodology pave the way for a range of new applications for Raman spectroscopy, including in vivo diagnosis, non-invasive probing of pharmaceutical products in quality control and in tissue-drug interactions.

Paper Details

Date Published: 20 December 2019
PDF: 8 pages
Proc. SPIE 11209, Eleventh International Conference on Information Optics and Photonics (CIOP 2019), 1120928 (20 December 2019); doi: 10.1117/12.2548118
Show Author Affiliations
Fan Yu, Northwest Univ. (China)
Heping Li, Northwest Univ. (China)
Dongliang Song, Northwest Univ. (China)
Jie Li, Northwest Univ. (China)
Qingli He, Northwest Univ. (China)
Shuang Wang, Northwest Univ. (China)

Published in SPIE Proceedings Vol. 11209:
Eleventh International Conference on Information Optics and Photonics (CIOP 2019)
Hannan Wang, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?