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Non-targeted and targeted Raman imaging detection of chemical contaminants in food powders
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Paper Abstract

Economically motivated adulteration and fraud to food powders are emerging food safety risks that threaten the health of the general public. In this study, targeted and non-targeted methods were developed to detect adulterants based on macro-scale Raman chemical imaging technique. Detection of potassium bromate (PB) (a flour improver banned in many countries) mixed in wheat flour was used as a case study to demonstrate the developed methods. A line-scan Raman imaging system with a 785 nm line laser was used to acquire hyperspectral image from the flour-PB mixture. Raman data analysis algorithms were developed to fulfill targeted and non-targeted contaminant detection. The targeted detection was performed using a single-band Raman image method. An image classification algorithm was developed based on single-band image at a Raman peak uniquely selected for the PB. On the other hand, a mixture analysis and spectral matching method was used for the non-targeted detection. The adulterant was identified by comparing resolved spectrum with reference spectra stored in a pre-established Raman library of the flour adulterants. For both methods, chemical images were created to show the PB particles mixed in the flour powder.

Paper Details

Date Published: 15 May 2018
PDF: 6 pages
Proc. SPIE 10665, Sensing for Agriculture and Food Quality and Safety X, 106650G (15 May 2018); doi: 10.1117/12.2304384
Show Author Affiliations
Jianwei Qin, Agricultural Research Service (United States)
Moon S. Kim, Agricultural Research Service (United States)
Kuanglin Chao, Agricultural Research Service (United States)
Sagar Dhakal, Agricultural Research Service (United States)
Byoung-Kwan Cho, Chungnam National Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 10665:
Sensing for Agriculture and Food Quality and Safety X
Moon S. Kim; Kuanglin Chao; Bryan A. Chin; Byoung-Kwan Cho, Editor(s)

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