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United States Department of Agriculture

Agricultural Research Service

Research Project: DEVELOPMENT OF SENSING AND INSTRUMENTATION TECHNOLOGIES FOR FOOD SAFETY AND SANITATION INSPECTION IN FRESH FRUIT AND VEGETABLE PROCESSING

Location: Environmental Microbial & Food Safety Laboratory

Title: Raman spectroscopy and imaging to detect contaminants for food safety applications)

Author
item Chao, Kuanglin - Kevin Chao
item Qin, Jianwei
item Kim, Moon
item Peng, Yankun
item Chan, Diane
item Cheng, Yu-che

Submitted to: Proceedings of SPIE
Publication Type: Proceedings
Publication Acceptance Date: 4/29/2013
Publication Date: 5/9/2013
Citation: Chao, K., Qin, J., Kim, M.S., Peng, Y., Chan, D.E., Cheng, Y. 2013. Raman spectroscopy and imaging to detect contaminants for food safety applications. Proceedings of SPIE 8721, Sensing for Agriculture and Food Quality and Safety V, 87210S.

Interpretive Summary:

Technical Abstract: This study presents the use of Raman chemical imaging for the screening of dry milk powder for the presence of chemical contaminants and Raman spectroscopy for quantitative assessment of chemical contaminants in liquid milk. For image-based screening, melamine was mixed into dry milk at concentrations (w/w) between 0.2% 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 (w/w) between 0.5% 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. Liquid milk mixtures were prepared with melamine at concentrations between 0.04% and 0.30%, with ammonium sulfate and with urea at concentrations between 0.1% and 10.0%, and with dicyandiamide at concentrations between 0.1% and 4.0%. Analysis of the Raman spectra from the liquid mixtures showed linear relationships between the Raman intensities and the chemical concentrations. Although further studies are necessary, Raman chemical imaging and spectroscopy show promise for use in detecting and evaluating contaminants in food ingredients.

Last Modified: 8/24/2016
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