Hyperspectral image analysis for the evaluation of chilling injury in avocado fruit during cold storage

Guo, Xiaolei; Tseung, Chiwah; Zare, Alina; Liu, Tie

doi:10.1016/j.postharvbio.2023.112548

Cited by 10 publications

(2 citation statements)

References 24 publications

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“…Over the last years, HIS has emerged as a non-destructive and a less time-consuming method to be applied with a diverse range of food products to determine their sensory properties ( Özdoğan G. et al, 2021 ), internal food injuries ( Guo X et al, 2023 ) or to predict micronutrients ( Hu N et al, 2021 ). The use of predictive, trained AI models combined with HSI offers a much better alternative to conventional methods as can produce results in real time or close to real time and are easy to use with a little training.…”

Section: Discussionmentioning

confidence: 99%

Hyperspectral imaging as a non-destructive technique for estimating the nutritional value of food

Marín-Méndez,

Luri Esplandiú,

Alonso-Santamaría

et al. 2024

Current Research in Food Science

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Section: Discussionmentioning

confidence: 99%

Hyperspectral imaging as a non-destructive technique for estimating the nutritional value of food

Marín-Méndez,

Luri Esplandiú,

Alonso-Santamaría

et al. 2024

Current Research in Food Science

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“…(2021) , crop improvement requires multi-omics approaches to train predictive and reliable models for important agronomic identification and exploitation. For CI research, machine-learning approaches have been used for CI detection in avocado ( Guo et al., 2023 ) and cucumber ( Lu and Lu, 2021 ). Other than CI detection, machine-learning approaches should be used to unravel the molecular mechanisms involved in CI development and alleviation.…”

Section: Integrated Omics For Studying Chilling Injury Development An...mentioning

confidence: 99%

Dissecting postharvest chilling injuries in pome and stone fruit through integrated omics

Rodrigues,

Ordoñez-Trejo,

Rasori

et al. 2024

Front. Plant Sci.

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Lowering the storage temperature is an effective method to extend the postharvest and shelf life of fruits. Nevertheless, this technique often leads to physiological disorders, commonly known as chilling injuries. Apples and pears are susceptible to chilling injuries, among which superficial scald is the most economically relevant. Superficial scald is due to necrotic lesions of the first layers of hypodermis manifested through skin browning. In peaches and nectarines, chilling injuries are characterized by internal symptoms, such as mealiness. Fruits with these aesthetic or compositional/structural defects are not suitable for fresh consumption. Genetic variation is a key factor in determining fruit susceptibility to chilling injuries; however, physiological, or technical aspects such as harvest maturity and storage conditions also play a role. Multi-omics approaches have been used to provide an integrated explanation of chilling injury development. Metabolomics in pome fruits specifically targets the identification of ethylene, phenols, lipids, and oxidation products. Genomics and transcriptomics have revealed interesting connections with metabolomic datasets, pinpointing specific genes linked to cold stress, wax synthesis, farnesene metabolism, and the metabolic pathways of ascorbate and glutathione. When applied to Prunus species, these cutting-edge approaches have uncovered that the development of mealiness symptoms is linked to ethylene signaling, cell wall synthesis, lipid metabolism, cold stress genes, and increased DNA methylation levels. Emphasizing the findings from multi-omics studies, this review reports how the integration of omics datasets can provide new insights into understanding of chilling injury development. This new information is essential for successfully creating more resilient fruit varieties and developing novel postharvest strategies.

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Non-destructive estimation of flesh oil content in avocado (Persea americana Mill.) using fluorescence images from 365-nm UV light excitation

Gao,

Saito,

Miwa

et al. 2024

Photochem Photobiol Sci

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Hyperspectral image analysis for the evaluation of chilling injury in avocado fruit during cold storage

Cited by 10 publications

References 24 publications

Hyperspectral imaging as a non-destructive technique for estimating the nutritional value of food

Hyperspectral imaging as a non-destructive technique for estimating the nutritional value of food

Dissecting postharvest chilling injuries in pome and stone fruit through integrated omics

Non-destructive estimation of flesh oil content in avocado (Persea americana Mill.) using fluorescence images from 365-nm UV light excitation

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