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Authentication of turmeric powder using hyperspectral Raman system
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Paper Abstract

Turmeric powder (Curcuma longa L.) is known for its use in foods, in medicine, and as a cosmetic. In recent years, economically driven contamination of turmeric powder with different chemicals is increasing. This study used a 1064 nm hyperspectral Raman imaging system for detection of Sudan Red G dye contamination in turmeric powder. Sudan Red was mixed with turmeric powder at five concentration levels (1%, 5%, 10%, 15%, and 20%- w/w). Each mixture sample was packed in a sample container. A Raman chemical image of each sample was acquired across the 7.5 mm x 7.5 mm surface area using a 0.25 mm step size. The spectral fingerprint of turmeric and Sudan Red were identified and used to obtain a binary image from the Raman chemical image of each sample. A simple threshold method was applied to convert the contaminant pixels into white pixels and turmeric pixels into the black (background) pixels. The detected Sudan Red pixels were correlated with the actual concentration in the sample. The result shows that the Sudan Red pixels in the sample image is linearly correlated (R2 = 0.99) with the actual concentration of the sample. This study demonstrated the 1064 nm hyperspectral Raman imaging system as a potential tool to detect chemical contaminants in turmeric powder.

Paper Details

Date Published: 30 April 2019
PDF: 5 pages
Proc. SPIE 11016, Sensing for Agriculture and Food Quality and Safety XI, 1101602 (30 April 2019); doi: 10.1117/12.2518940
Show Author Affiliations
Sagar Dhakal, Agricultural Research Service (United States)
Kuanglin Chao, Agricultural Research Service (United States)
Moon Kim, Agricultural Research Service (United States)
Jianwei Qin, Agricultural Research Service (United States)


Published in SPIE Proceedings Vol. 11016:
Sensing for Agriculture and Food Quality and Safety XI
Moon S. Kim; Bryan A. Chin; Byoung-Kwan Cho, Editor(s)

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