Nondestructive TVB-N Detection in Packaged Beef Using Hyperspectral Imaging

Hyperspectral imaging (HSI) technology has shown potential in monitoring fresh meat. It is necessary to investigate the rapid detection technology of packaged fresh meat in order to ensure food quality and safety. In this study, hyperspectral images of beef in the presence of packaging film were collected, and the spectra were optimized using spectral pretreatment, band selection and film radiation correction methods to predict the total volatile basic nitrogen (TVB-N) of beef in the presence of packaging film. The results of the competitive adaptive reweighted sampling (CARS) combined with least squares support vector machines (CARS-LSSVM) model constructed by using the corrected reflectance spectra were Rp2$$ {R}_p<^>2 $$ = 0.8687, RMSEP = 3.1970 mg/100 g, which is higher than that obtained before the correction (Rp2$$ {R}_p<^>2 $$ was 0.8168, and RMSEP was 3.0449 mg/100 g). The results reveal that HSI with radiation correction has the potential in monitoring the TVB-N content of beef through packaging film.