From Event: SPIE Commercial + Scientific Sensing and Imaging, 2018
Although many studies have been conducted to detect melamine in milk powder using near-infrared hyperspectral imaging system, the reproducibility due to moisture content in powder sample and detection limit have not been addressed appropriately. The objective of this study is to develop, based on shortwave infrared (SWIR) hyperspectral imaging, optimal model which is less sensitive to change of moisture content in sample powder. The hyperspectral imaging system consists of a MCT-based camera capable of measuring wavelengths from 1000nm to 2500nm. A halogen-based light source module was used to illuminated samples. The results showed a mixture concentration as low as 50 ppm of melamine in milk could be detected. The detection accuracy using the wavelength region from 1700nm to 2500nm was higher than that of using the wavelength from 1000nm to 1700nm. The MCT-based SWIR hyperspectral imaging system has a good potential for the detection and quantification of adulterants in powder sample.
Hoonsoo Lee, Jianwei Qin, Byoung-Kwan Cho, and Moon S. Kim, "MCT-based shortwave infrared hyperspectral imaging system for the detection and quantification of adulterants in powder samples (Conference Presentation)," Proc. SPIE 10665, Sensing for Agriculture and Food Quality and Safety X, 106650A (Presented at SPIE Commercial + Scientific Sensing and Imaging: April 18, 2018; Published: 15 May 2018); https://doi.org/10.1117/12.2306276.5783309665001.
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