Hyperspectral Imaging (HSI) Technology for the Non-Destructive Freshness Assessment of Pearl Gentian Grouper under Different Storage Conditions

Abstract

This study used visible/near-infrared hyperspectral imaging (HSI) technology combined with chemometric methods to assess the freshness of pearl gentian grouper. The partial least square discrimination analysis (PLS-DA) and competitive adaptive reweighted sampling-PLS-DA (CARS-PLS-DA) models were used to classify fresh, refrigerated, and frozen–thawed fish. The PLS-DA model achieved better classification of fresh, refrigerated, and frozen–thawed fish with the accuracy of 100%, 96.43%, and 96.43%, respectively. Further, the PLS regression (PLSR) and CARS-PLS regression (CARS-PLSR) models were used to predict the storage time of fish under different storage conditions, and the prediction accuracy was assessed using the prediction correlation coefficients (Rp2), root mean squared error of prediction (RMSEP), and residual predictive deviation (RPD). For the prediction of storage time, the CARS-PLS model presented the better result of room temperature (Rp2 = 0.948, RMSEP = 0.255, RPD = 4.380) and refrigeration (Rp2 = 0.9319, RMSEP = 1.188, RPD = 3.857), while the better prediction of freeze was by obtained by the PLSR model (Rp2 = 0.9250, RMSEP = 2.910, RPD = 3.469). Finally, the visualization of storage time based on the PLSR model under different storage conditions were realized. This study confirmed the potential of HSI as a rapid and non-invasive technique to identify fish freshness.

Developing a Portable Fluorescence Imaging Device for Fish Freshness Detection

“…In Table 3 , Chen et al [ 36 ] used a hyperspectral device to classify the freshness of fish under different storage conditions by using the PLS-DA model with a detection accuracy of 97.62%. However, the device is not portable and the cost of the core components is high, and the overall price of the hyperspectral device is at least 400K RMB.…”

Rapid Detection of Different Types of Soil Nitrogen Using Near-Infrared Hyperspectral Imaging

“…Finally, a total of 6 soil hyperspectral images and 1 nitrogen fertilizer standard image were obtained. To obtain higher-quality images, it is necessary to correct the reflectivity of the original image ( ) [ 27 ]. In the same environment as the sample image acquisition, the standard white calibration plate (reflectivity close to 100%) was scanned to obtain a white calibration image ( ), then turn off the light source and cover the lens cover (reflectivity close to 0%) to collect a black calibration image ( ).…”

Perspective Chapter: Hyperspectral Imaging for the Analysis of Seafood

“…A basic common reference method for the estimation of freshness is the storage time. Some researchers have successfully estimated storage time as a freshness indicator for fillets from different fish species using hyperspectral imaging, for example, pearl gentian grouper [33], Atlantic salmon [34], and Atlantic cod [35]. Kimiya et al [34] and Sivertsen et al [35] attributed the spectral changes between the different storage times to the oxidation of hemoglobin and myoglobin proteins during the chilled storage, which enables the successful estimation of the storage time based on the spectral information.…”