A Nondestructive Real-Time Detection Method of Total Viable Count in Pork by Hyperspectral Imaging Technique

Abstract

A nondestructive method was developed for assessing total viable count (TVC) in pork during refrigerated storage by using hyperspectral imaging technique in this study. The hyperspectral images in the visible/near-infrared (VIS/NIR) region of 400-1100 nm were acquired for fifty pork samples, and their VIS/NIR diffuse reflectance spectra were extracted from the images. The reference values of TVC in pork samples were determined by classical microbiological plating method. Both partial least square regression (PLSR) model and support vector machine regression model (SVR) of TVC were built for comparative analysis to achieve better results. Different transformation methods and filtering methods were applied to improve the models. The results show that both the optimized PLSR model and SVR model can predict the TVC very well, while the SVR model based on second derivation was better, which achieved with R P (correlation coefficient of prediction set) = 0.94 and SEP (standard error of prediction set) = 0.4570 log CFU/g in the prediction set. An image processing algorithm was then developed to transfer the prediction model to every pixel of the image of the entire sample; the visualizing map of TVC would be displayed in real-time during the detection process due to the simplicity of the model. The results demonstrated that hyperspectral imaging is a potential reliable approach for non-destructive and real-time prediction of TVC in pork.

LW-NIR hyperspectral imaging for rapid prediction of TVC in chicken flesh

“…Peng et al [21] investigated the TVC in beef during every 12 h storage at 8°C by using hyperspectral imaging at 400-1100 nm region, combined with Multiple Linear Regression (MLR) algorithm, and obtained good prediction performance with correlation coefficient (R) of 0.97 and standard error of 0.30 log 10 CFU/g. In the same wavelength region, Zheng et al [22] established a support machine regression (SVR) model to predict the TVC on the pork surface and achieved a better result. Barbin et al [23] investigated the potential of NIR hyperspectral imaging (900-1700 nm) for psychrotrophic plate count (PPC) in chilled pork during 21 days' storage.…”

Determination of Total Polysaccharides and Total Flavonoids in Chrysanthemum morifolium Using Near-Infrared Hyperspectral Imaging and Multivariate Analysis

“…Hyperspectral imaging has been used to detect various compositions of samples as a rapid and nondestructive technique, such as herbal medicine [ 6 , 7 ], food [ 8 , 9 , 10 , 11 ], and agriculture [ 12 , 13 ]. Beyond building detection models, hyperspectral imaging has also been used to obtain prediction visualization images to explore the composition distribution within and among samples [ 14 , 15 , 16 ].…”

Hyperspectral Imaging for Assessing Quality and Safety of Meat

“…The potential of reflectance spectra for bacterial contamination measurement has also been explored, and satisfactory results were obtained. Zheng et al conducted a study to build a precise and simple model with low cost for TVC of pork [31]. Fifty chilled pork samples were collected and stored in a refrigerator at 4°C.…”