Detection and prevention of foreign material in food: A review

K Payne, CA O'Bryan, JA Marcy, PG Crandall - Heliyon, 2023 - cell.com
This review highlights the critical concern foreign material contamination poses across the
food processing industry and provides information on methods and implementations to …

Hyperspectral Imaging for Fresh-Cut Fruit and Vegetable Quality Assessment: Basic Concepts and Applications

S Vignati, A Tugnolo, V Giovenzana, A Pampuri… - Applied Sciences, 2023 - mdpi.com
During the last two decades, hyperspectral imaging (HSI) has been one of the most studied
and applied techniques in the field of nondestructive monitoring systems for the fruit and …

[HTML][HTML] Detection of physical hazards from fruit processed products using hyperspectral imaging and prediction based on PLS-DA and logistic regression machine …

NY Lee, IS Na, KW Lee, DH Lee, JW Kim, MC Kook… - Applied Food …, 2024 - Elsevier
The current study aims to investigate a prediction model from reflection values and the
spectral angle mapper (SAM) obtained from hyperspectral imaging (HSI) technology for the …

Hyperspectral imaging system for pre-and post-harvest defect detection in paprika fruit

MA Faqeerzada, YN Kim, H Kim, T Akter, H Kim… - Postharvest Biology and …, 2024 - Elsevier
External defects in paprika fruit (Capsicum annuum, L. var. angulosum) directly impact their
storage and marketability, potentially leading to internal decay and altering fruit appearance …

[HTML][HTML] Hyperspectral imaging aiding artificial intelligence: A reliable approach for food qualification and safety

M Nikzadfar, M Rashvand, H Zhang, A Shenfield… - Applied Sciences, 2024 - mdpi.com
Hyperspectral imaging (HSI) is one of the non-destructive quality assessment methods
providing both spatial and spectral information. HSI in food quality and safety can detect the …

Photodynamic inactivation mediated by natural alizarin on bacteria for the safety of fresh-cut apples

X Li, Z Guo, Y Song, T Du, F Han, S Wang… - Food Research …, 2025 - Elsevier
Most photosensitizers have limited responsiveness to visible light, however, visible light is a
light source with a wide range of wavelengths and the most common in daily life, and …

Quality prediction of air-cured cigar tobacco leaf using region-based neural networks combined with visible and near-infrared hyperspectral imaging

J Yin, J Wang, J Jiang, J Xu, L Zhao, A Hu, Q **a… - Scientific Reports, 2024 - nature.com
Visible and Near-infrared hyperspectral imaging (VNIR-HSI) combined with machine
learning has shown its effectiveness in various detection applications. Specifically, the …

Evaluating the microstructure and physicochemical properties of 'Korla'fragrant pear disease caused by Alternaria alternata: Vis-NIR hyperspectral microscope …

S You, Y Li, J Song, X Yu, K Tu, W Lan, L Pan - Postharvest Biology and …, 2024 - Elsevier
This work explored the possibility of using hyperspectral microscope imaging (HMI)
technique coupled with advanced chemometric methods to evaluate the cell wall …

Non-destructive assessment of chilling injury in red pepper powder using short-wave-infrared and XGBoost algorithm

JJ Park, JS Cho, H Yu, G Lee, DY Yun, SK Park… - Food Chemistry, 2025 - Elsevier
This study aimed to evaluate red pepper powder quality by the extent of chilling injury and
develop a method for detecting chilling injury-affected pepper powder. Pepper powder …

Non-destructive estimation of biomass characteristics: Combining hyperspectral imaging data with neural networks

M Mahmoodi-Eshkaftaki, M Mahbod, HR Ghenaatian - Renewable Energy, 2024 - Elsevier
Hyperspectral image analysis is a quick and non-destructive way to determine the physical
and chemical properties of odorous biomasses and feedstocks. This research investigated …