Protein content evaluation of processed pork meats based on a novel single shot (snapshot) hyperspectral imaging sensor
Protein is an important nutrient for people diet, and protein content is one of the most vital
properties in quality assessment of pork meat. The potential of line-scanning based …
properties in quality assessment of pork meat. The potential of line-scanning based …
Enhancing visible and near-infrared hyperspectral imaging prediction of TVB-N level for fish fillet freshness evaluation by filtering optimal variables
Total volatile basic nitrogen (TVB-N) is one of the most important indicators for evaluation of
fish protein degradation and freshness loss. A novel algorithm of Physarum network (PN) …
fish protein degradation and freshness loss. A novel algorithm of Physarum network (PN) …
Determination and visualization of fat contents in salmon fillets based on visible and near-infrared hyperspectral imagery
As an important quality criterion in Atlantic salmon (Salmo salar), fat distributes
heterogeneously throughout the whole salmon fillets. In this study, visible and near-infrared …
heterogeneously throughout the whole salmon fillets. In this study, visible and near-infrared …
Quantification of polycyclic aromatic hydrocarbons in roasted Tan lamb using fluorescence hyperspectral imaging technology
J Hao, F Dong, Y Li, S Wang, J Cui, S Liu… - Journal of Food …, 2023 - Elsevier
Polycyclic aromatic hydrocarbons (PAHs) are one of the main harmful substances produced
during the roasting of lamb. In this study, fluorescence hyperspectral imaging (FHSI) at …
during the roasting of lamb. In this study, fluorescence hyperspectral imaging (FHSI) at …
Application of invasive weed optimization and least square support vector machine for prediction of beef adulteration with spoiled beef based on visible near-infrared …
HT Zhao, YZ Feng, W Chen, GF Jia - Meat science, 2019 - Elsevier
Different multivariate data analysis methods were investigated and compared to optimize
rapid and non-destructive quantitative detection of beef adulteration with spoiled beef based …
rapid and non-destructive quantitative detection of beef adulteration with spoiled beef based …
Rapid identification of lamb freshness grades using visible and near-infrared spectroscopy (Vis-NIR)
J Zhang, G Liu, Y Li, M Guo, F Pu, H Wang - Journal of Food Composition …, 2022 - Elsevier
In the meat industry, it is essential to monitor and identify meat freshness grades due to its
impact on the safety of human diets. This study aimed to identify premium, sub-fresh, and …
impact on the safety of human diets. This study aimed to identify premium, sub-fresh, and …
Recent advances for rapid identification of chemical information of muscle foods by hyperspectral imaging analysis
Muscle foods play an important role in providing a vital source of high-quality protein, amino
acids and vitamin for human health. Chemical composition is one of the most vital …
acids and vitamin for human health. Chemical composition is one of the most vital …
[HTML][HTML] Protein content prediction in single wheat kernels using hyperspectral imaging
N Caporaso, MB Whitworth, ID Fisk - Food chemistry, 2018 - Elsevier
Hyperspectral imaging (HSI) combines Near-infrared (NIR) spectroscopy and digital imaging
to give information about the chemical properties of objects and their spatial distribution …
to give information about the chemical properties of objects and their spatial distribution …
[HTML][HTML] Prediction of fat content in salmon fillets based on hyperspectral imaging and residual attention convolution neural network
W Luo, J Zhang, H Huang, W Peng, Y Gao, B Zhan… - LWT, 2023 - Elsevier
The fat content of salmon is an essential indicator to evaluate its quality, and is related to its
commercial value. An attention residual convolutional neural network (CNN), namely …
commercial value. An attention residual convolutional neural network (CNN), namely …