Share Email Print
cover

Proceedings Paper

A Raman chemical imaging system for detection of contaminants in food
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This study presented a preliminary investigation into the use of macro-scale Raman chemical imaging for the screening of dry milk powder for the presence of chemical contaminants. Melamine was mixed into dry milk at concentrations (w/w) of 0.2%, 0.5%, 1.0%, 2.0%, 5.0%, and 10.0% and images of the mixtures were analyzed by a spectral information divergence algorithm. Ammonium sulfate, dicyandiamide, and urea were each separately mixed into dry milk at concentrations of (w/w) of 0.5%, 1.0%, and 5.0%, and an algorithm based on self-modeling mixture analysis was applied to these sample images. The contaminants were successfully detected and the spatial distribution of the contaminants within the sample mixtures was visualized using these algorithms. Although further studies are necessary, macro-scale Raman chemical imaging shows promise for use in detecting contaminants in food ingredients and may also be useful for authentication of food ingredients.

Paper Details

Date Published: 2 June 2011
PDF: 10 pages
Proc. SPIE 8027, Sensing for Agriculture and Food Quality and Safety III, 802710 (2 June 2011); doi: 10.1117/12.884498
Show Author Affiliations
Kaunglin Chao, U.S.D.A. Agricultural Research Service (United States)
Jianwei Qin, U.S.D.A. Agricultural Research Service (United States)
Moon S. Kim, U.S.D.A. Agricultural Research Service (United States)
Chang Yeon Mo, Rural Development Administration (Korea, Republic of)


Published in SPIE Proceedings Vol. 8027:
Sensing for Agriculture and Food Quality and Safety III
Moon S. Kim; Shu-I Tu; Kaunglin Chao, Editor(s)

© SPIE. Terms of Use
Back to Top