Abstract
Cooking loss (CL) is a critical quality attribute directly relating to meat juiciness. The potential of the hyperspectral imaging (HSI) technique was investigated for non-invasively classifying and visualizing the CL of fresh broiler breast meat. Hyperspectral images of total 75 fresh broiler breast fillets were acquired by the system operating in the visible and near-infrared (VNIR, 400–1000 nm) range. Mean spectra were extracted from regions of interest (ROIs) determined by pure muscle tissue pixels. CL was firstly measured by calculating the weight loss in cooking, and then fillets were grouped into high-CL and low-CL according to the threshold of 20%. The classification methods partial least square-discriminant analysis (PLS-DA) and radial basis function-support vector machine (RBF-SVM) were applied, respectively, to determine the optimal spectral calibration strategy. Results showed that the PLS-DA model developed using the data, that is, first-order derivative (Der1) of VNIR full spectra, performed best with correct classification rates (CCRs) of 0.90 and 0.79 for the calibration and prediction sets, respectively. Furthermore, to simplify the optimal PLS-DA model and make it practical, effective wavelengths were individually selected using uninformative variable elimination (UVE) and competitive adaptive reweighted sampling (CARS). Through performance comparison, the CARS-PLS-DA combination was identified as the optimal method and the PLS-DA model built with 18 informative wavelengths selected by CARS resulted in good CCRs of 0.86 and 0.79. Finally, classification maps were created by predicting CL categories of each pixel in the VNIR hyperspectral images using the CARS-PLS-DA model, and the general CL categories of fillets were readily discernible. The overall results were encouraging and showed the promising potential of the VNIR HSI technique for classifying fresh broiler breast fillets into different CL categories.
Highlights
Poultry meat is considered as a popular muscle food due to its low price, abundant nutritional values, and product diversity [1]
In a previous report of water-holding capacity (WHC) values statistics of broiler breast fillets, average Cooking loss (CL) values for high-WHC and low-WHC groups were of 18.4–19.6% and 21.6–22.3%, respectively [45]
hyperspectral imaging (HSI) and multivariate analyses have the potential to be used as rapid and non-destructive tools to classify the fresh broiler breast fillets into two categories, that is, high-CL and low-CL
Summary
Poultry meat is considered as a popular muscle food due to its low price, abundant nutritional values, and product diversity [1]. The consumption of chicken meat is growing rapidly worldwide, quality assurance and control are critical for encouraging their purchase. It is essential for the poultry industry to perform quality control, assessing the quality attributes of chicken meat in order to ensure their acceptance by consumers.
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