1.National Engineering Research Center for Agricultural Products Logistics, Shandong Key Laboratory of Storage and Transportation Technology of Agricultural Products, Jinan 250103, China; 2.Centre for Research on Environmental Ecology and Fish Nutrition, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai 201306, China
Abstract：In order to realize the accurate and rapid detection of adulterated Ningxia Tan sheep meat, duck meat was mixed in different proportions with mutton to prepare adulterated meat. Then, the adulterated meat samples were detected by gas chromatography-ion mobility spectroscopy (GC-IMS) and electronic nose (E-nose) combined with statistical methods. The odor fingerprint obtained by GC-IMS was analyzed by principal component analysis (PCA) and similarity difference analysis; the electronic nose responses was analyzed by linear discriminant analysis (LDA), and then a quantitative model between E-nose response values and adulteration ratio was established by multiple linear regression (MLR). The results showed that the difference in the composition of volatile organic compounds (VOCs) among all adulterated meat samples except those with similar adulteration ratios could be seen directly from the odor fingerprint. LDA allowed a good discrimination among the adulterated meat samples with different adulteration ratios. The presented quantitative model had excellent goodness of fit with determination coefficient R2 of 0.967 1. From this study, we concluded that GC-IMS and electronic nose combined with statistical methods can distinguish mutton adulterated with different proportions of duck meat.
2020, Vol. 34 
