Evaluation of the total volatile basic nitrogen (TVB-N) content in fish fillets using hyperspectral imaging coupled with deep learning neural network and meta-analysis

M Moosavi-Nasab, S Khoshnoudi-Nia, Z Azimifar… - Scientific reports, 2021 - nature.com
Abstract Recently, hyperspectral-imaging (HSI), as a rapid and non-destructive technique,
has generated much interest due to its unique potential to monitor food quality and safety …

Discrimination among fresh, frozen–stored and frozen–thawed beef cuts by hyperspectral imaging

Y Yu, W Chen, H Zhang, R Liu, C Li - Foods, 2024 - mdpi.com
The detection of the storage state of frozen meat, especially meat frozen–thawed several
times, has always been important for food safety inspections. Hyperspectral imaging (HSI) is …

Study on hyperspectral monitoring model of β-glucan content in oat grains

C Yang, L Song, D Wang, S Hao, M Feng… - Journal of Food …, 2023 - Springer
The β-glucan in oat grain plays an important role in preventing cardiovascular disease.
Therefore, it is of great significance to realize the rapid measurement of β-glucan content in …

Predicting micronutrients of wheat using hyperspectral imaging

N Hu, W Li, C Du, Z Zhang, Y Gao, Z Sun, L Yang, K Yu… - Food Chemistry, 2021 - Elsevier
Micronutrients are the key factors to evaluate the nutritional quality of wheat. However,
measuring micronutrients is time-consuming and expensive. In this study, the potential of …

Assessment of comprehensive PAH index in roasted Tan lamb by two‐dimensional correlation spectroscopy combined with hyperspectral imaging

S Chen, S Wang - Journal of Food Science, 2024 - Wiley Online Library
Thermally processed meat may contain harmful compounds, including polycyclic aromatic
hydrocarbons (PAHs). This study constructed, for the first time, the comprehensive PAH …

Study on Rapid Non-Destructive Detection Method of Corn Freshness Based on Hyperspectral Imaging Technology

Y Zhang, S Liu, X Zhou, J Cheng - Molecules, 2024 - mdpi.com
(1) Background: To achieve the rapid, non-destructive detection of corn freshness and
staleness for better use in the storage, processing and utilization of corn.(2) Methods: In this …

Prediction of milk protein content based on improved sparrow search algorithm and optimized back propagation neural network

J Liu, P Hu, H Xue, X Pan, C Chen - Spectroscopy Letters, 2022 - Taylor & Francis
The quality of milk is largely determined by the protein content. The feasibility of predicting
the protein content of milk by hyperspectral image has attracted more attentions from …

Application of time series hyperspectral imaging (TS-HSI) for determining water distribution within beef and spectral kinetic analysis during dehydration

D Wu, S Wang, N Wang, P Nie, Y He, DW Sun… - Food and Bioprocess …, 2013 - Springer
This study was carried out for rapid and noninvasive determination of water distribution
within beef during dehydration using time series hyperspectral imaging (TS-HSI) …

Prediction of secondary metabolites in maize under different nitrogen inputs by hyperspectral sensing and machine learning

MA da Silva, CNS Campos, R de Mello Prado… - Infrared Physics & …, 2024 - Elsevier
Flavonoids are compounds resulting from secondary plant metabolism that provide benefits
to human health by food. This study aimed to accuracy of predicting flavonoids in maize …

Deep learning-based near-infrared hyperspectral imaging for food nutrition estimation

T Li, W Wei, S Xing, W Min, C Zhang, S Jiang - Foods, 2023 - mdpi.com
The limited nutritional information provided by external food representations has constrained
the further development of food nutrition estimation. Near-infrared hyperspectral imaging …