Comparative Analysis of Chilling Injury in Banana Fruit During Storage: Physicochemical and Microstructural Changes, and Early Optical-Based Nondestructive Identification DOI Creative Commons
Ma Hui, Lan Hu, Jingyuan Zhao

et al.

Foods, Journal Year: 2025, Volume and Issue: 14(8), P. 1319 - 1319

Published: April 11, 2025

Chilling injury (CI) during postharvest storage seriously impairs bananas’ quality and marketability. This study systematically investigated CI mechanisms through physicochemical, microstructural, optical analyses innovatively developed a hyperspectral imaging (HSI)-based approach for early detection. Bananas stored at suboptimal (7 °C) optimal (13 conditions exhibited distinct physicochemical changes. progression was related to increased browning symptoms, an abnormal moisture redistribution (reduced pulp content), delayed softening. Microstructural analysis revealed membrane destabilization, cellular lysis, intercellular cavity formation, inhibited starch hydrolysis under chilling stress. Hyperspectral microscope (HMI) captured chilling-induced spectral variations (400–1000 nm), enabling the t-SNE-based clustering of CI-affected tissues. Machine learning models using first derivative (1-st)-processed spectra achieved high accuracy. Both PLS-DA RF had 99% calibration accuracy 98.5% prediction classification. Notably, HSI detected signatures (2 days post-chilling treatment) before visible achieving 100% identification with optimized combined 1-st processing. provides theoretical basis studying fruit novel nondestructive method monitoring in supply chains.

Language: Английский

Detection of Aspergillus flavus contamination in peanut kernels using a hybrid convolutional transformer-feature fusion network: A macro-micro integrated hyperspectral imaging approach and two-dimensional correlation spectroscopy analysis DOI

Zhen Guo,

Haifang Wang, Fernando Auat Cheein

et al.

Postharvest Biology and Technology, Journal Year: 2025, Volume and Issue: 225, P. 113489 - 113489

Published: March 9, 2025

Language: Английский

Citations

2
Exploring the impact of lenticels on the detection of soluble solids content in apples and pears using hyperspectral imaging and one-dimensional convolutional neural networks DOI
Zhenjie Wang, J. H. Wang, Weijie Lan

et al.

Food Research International, Journal Year: 2025, Volume and Issue: 205, P. 115960 - 115960

Published: Feb. 7, 2025

Language: Английский

Citations

1
Exploring a universal model for predicting blueberry soluble solids content based on hyperspectral imaging and transfer learning to address spatial heterogeneity challenge DOI
Guoliang Chen,

Mianqing Yang,

Guozheng Wang

et al.

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Journal Year: 2025, Volume and Issue: 334, P. 125921 - 125921

Published: Feb. 18, 2025

Language: Английский

Citations

0
Assessment of the optical response of bruised kiwifruit using hyperspectral imaging and its relationships with water migration DOI

Diandian Liang,

Ning Wang, Hao Yin

et al.

Postharvest Biology and Technology, Journal Year: 2025, Volume and Issue: 225, P. 113515 - 113515

Published: March 13, 2025

Language: Английский

Citations

0
Plasmonic substrates enhanced micro-hyperspectral imaging for AI-based recognition of microplastics in water DOI
Xinwei Dong, Zhao Xu, Fuxin Zheng

et al.

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 113465 - 113465

Published: March 1, 2025

Language: Английский

Citations

0
Comparative Analysis of Chilling Injury in Banana Fruit During Storage: Physicochemical and Microstructural Changes, and Early Optical-Based Nondestructive Identification DOI Creative Commons
Ma Hui, Lan Hu, Jingyuan Zhao

et al.

Foods, Journal Year: 2025, Volume and Issue: 14(8), P. 1319 - 1319

Published: April 11, 2025

Chilling injury (CI) during postharvest storage seriously impairs bananas’ quality and marketability. This study systematically investigated CI mechanisms through physicochemical, microstructural, optical analyses innovatively developed a hyperspectral imaging (HSI)-based approach for early detection. Bananas stored at suboptimal (7 °C) optimal (13 conditions exhibited distinct physicochemical changes. progression was related to increased browning symptoms, an abnormal moisture redistribution (reduced pulp content), delayed softening. Microstructural analysis revealed membrane destabilization, cellular lysis, intercellular cavity formation, inhibited starch hydrolysis under chilling stress. Hyperspectral microscope (HMI) captured chilling-induced spectral variations (400–1000 nm), enabling the t-SNE-based clustering of CI-affected tissues. Machine learning models using first derivative (1-st)-processed spectra achieved high accuracy. Both PLS-DA RF had 99% calibration accuracy 98.5% prediction classification. Notably, HSI detected signatures (2 days post-chilling treatment) before visible achieving 100% identification with optimized combined 1-st processing. provides theoretical basis studying fruit novel nondestructive method monitoring in supply chains.

Language: Английский

Citations

0