Detection of melamine in milk powder using MCT-based short-wave infrared hyperspectral imaging system

作者：Lee Hoonsoo; Kim Moon S; Lohumi Santosh; Cho Byoung Kwan^*

来源：Food Additives and Contaminants Part A-Chemistry Analysis Control Exposure& Risk Assessment, 2018, 35(6): 1027-1037.

DOI：10.1080/19440049.2018.1469050

• MCT-based hyperspectral imaging system
• melamine
• ANOVA
• partial lease square regression
• image processing
• food safety

Extensive research has been conducted on non-destructive and rapid detection of melamine in powdered foods in the last decade. While Raman and near-infrared hyperspectral imaging techniques have been successful in terms of non-destructive and rapid measurement, they have limitations with respect to measurement time and detection capability, respectively. Therefore, the objective of this study was to develop a mercury cadmium telluride (MCT)-based short-wave infrared (SWIR) hyperspectral imaging system and algorithm to detect melamine quantitatively in milk powder. The SWIR hyperspectral imaging system consisted of a custom-designed illumination system, a SWIR hyperspectral camera, a data acquisition module and a sample transfer table. SWIR hyperspectral images were obtained for melamine-milk samples with different melamine concentrations, pure melamine and pure milk powder. Analysis of variance and the partial least squares regression method over the 1000-2500nm wavelength region were used to develop an optimal model for detection. The results showed that a melamine concentration as low as 50ppm in melamine-milk powder samples could be detected. Thus, the MCT-based SWIR hyperspectral imaging system has the potential for quantitative and qualitative detection of adulterants in powder samples.

• 出版日期2018