Translator Disclaimer
Paper
29 May 2013 Investigation of NIR hyperspectral imaging for discriminating melamine in milk powder
Author Affiliations +
Abstract
Melamine (2,4,6-triamino-1,3,5-triazine) contamination of food has become an urgent and broadly recognized issue for which rapid and accurate identification methods are needed by the food industry. In this study, the feasibility and effectiveness of near-infrared (NIR) hyperspectral imaging was investigated for detecting melamine in milk powder. Hyperspectral NIR images (144 bands spanning from 990 to 1700 nm) were acquired for Petri dishes containing samples of milk powder mixed with melamine at various concentrations (0.02% to 1%). Spectral bands that showed the most significant differences between pure milk and pure melamine were selected, and two-band difference analysis was applied to the spectrum of each pixel in the sample images to identify melamine particles in milk powders. The resultant images effectively allowed visualization of melamine particle distributions in the samples. The study demonstrated that NIR hyperspectral imaging techniques can qualitatively and quantitatively identify melamine adulteration in milk powders.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaping Fu, Moon S. Kim, Kuanglin Chao, Jianwei Qin, Jongguk Lim, Hoyoung Lee, and Yibin Ying "Investigation of NIR hyperspectral imaging for discriminating melamine in milk powder", Proc. SPIE 8721, Sensing for Agriculture and Food Quality and Safety V, 87210F (29 May 2013); https://doi.org/10.1117/12.2018072
PROCEEDINGS
9 PAGES


SHARE
Advertisement
Advertisement
Back to Top