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Chemometrics and hyperspectral imaging applied to assessment of chemical, textural and structural characteristics of meat

Meat science, 2018-10, Vol.144, p.100-109

2018

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Identification of Weeds Based on Hyperspectral Imaging and Machine Learning

Frontiers in plant science, 2021-01, Vol.11, p.611622

2021

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Detection of Red-Meat Adulteration by Deep Spectral–Spatial Features in Hyperspectral Images

Journal of imaging, 2018-05, Vol.4 (5), p.63

2018

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Anisotropic light propagation in bovine muscle tissue depends on the initial fiber orientation, muscle type and wavelength

Optics express, 2017-09, Vol.25 (18), p.22082-22095

2017

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Characterization of chicken muscle disorders through metabolomics, pathway analysis, and water relaxometry: a pilot study

Poultry science, 2020-11, Vol.99 (11), p.6247-6257

2020

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Comprehensive Evaluation of Parameters Affecting One-Step Method for Quantitative Analysis of Fatty Acids in Meat

Metabolites, 2019-09, Vol.9 (9), p.189

2019

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Hyperspectral imaging and machine learning in food microbiology: Developments and challenges in detection of bacterial, fungal, and viral contaminants

Comprehensive reviews in food science and food safety, 2022-07, Vol.21 (4), p.3717-3745

2022

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Hyperspectral imaging and deep learning for quantification of Clostridium sporogenes spores in food products using 1D- convolutional neural networks and random forest model

Food research international, 2021-09, Vol.147, p.110577-110577, Article 110577

2021

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Potential of deep learning and snapshot hyperspectral imaging for classification of species in meat

Food control, 2020-11, Vol.117, p.107332, Article 107332

2020

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Movements of moisture and acid in gastric milk clots during gastric digestion: Spatiotemporal mapping using hyperspectral imaging

Food chemistry, 2024-01, Vol.431, p.137094-137094, Article 137094

2024

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Comparative evaluation of miniaturized and conventional NIR spectrophotometer for estimation of fatty acids in cheeses

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2022-10, Vol.279, p.121433, Article 121433

2022

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Identification of Cold Spots Using Non-Destructive Hyperspectral Imaging Technology in Model Food Processed by Coaxially Induced Microwave Pasteurization and Sterilization

Foods, 2020-06, Vol.9 (6), p.837

2020

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Support vector regression for prediction of stable isotopes and trace elements using hyperspectral imaging on coffee for origin verification

Food research international, 2023-12, Vol.174 (Pt 1), p.113518-113518, Article 113518

2023

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Hyperspectral imaging and deep learning for detection and quantification of germination in Bacillus cereus spores

International journal of food science & technology, 2024-05, Vol.59 (5), p.3505-3513

2024

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The potential new microbial hazard monitoring tool in food safety: Integration of metabolomics and artificial intelligence

Trends in food science & technology, 2024-07, Vol.149, p.104555, Article 104555

2024

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Towards the non-invasive assessment of staling in bovine hides with hyperspectral imaging

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2023-03, Vol.289, p.122220, Article 122220

2023

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Hyperspectral imaging through vacuum packaging for monitoring cheese biochemical transformation caused by Clostridium metabolism

Food research international, 2023-07, Vol.169, p.112866-112866, Article 112866

2023

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Internal reflectance cell fluorescence measurement combined with multi-way analysis to detect fluorescence signatures of undiluted honeys and a fusion of fluorescence and NIR to enhance predictability

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2023-04, Vol.290, p.122274, Article 122274

2023

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Early on-line classification of beef carcasses based on ultimate pH by near infrared spectroscopy

Meat science, 2014-02, Vol.96 (2), p.862-869

2014

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Mapping the Spatiotemporal Distribution of Acid and Moisture in Food Structures during Gastric Juice Diffusion Using Hyperspectral Imaging

Journal of agricultural and food chemistry, 2019-08, Vol.67 (33), p.9399-9410

2019

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The potential of deep learning to counter the matrix effect for assessment of honey quality and monoflorality

Microchemical journal, 2024-09, Vol.204, p.111200, Article 111200

2024

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Characterization of volatile metabolites associated with confinement odour during the shelf-life of vacuum packed lamb meat under different storage conditions

Meat science, 2016-03, Vol.113, p.80-91

2016

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A critical review of social media research in sensory-consumer science

Food research international, 2023-03, Vol.165, p.112494-112494, Article 112494

2023

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Assessment of bovine milk fatty acids using miniaturised near infrared spectrophotometer

International journal of dairy technology, 2023-11, Vol.76 (4), p.1012-1018

2023

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Preparation of drip samples from leg of lamb with extended shelf life for nuclear magnetic resonance metabolomics studies

Meat science, 2021-02, Vol.172, p.108304-108304, Article 108304

2021

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Chemometrics and hyperspectral imaging applied to assessment of chemical, textural and structural characteristics of meat

Identification of Weeds Based on Hyperspectral Imaging and Machine Learning

Detection of Red-Meat Adulteration by Deep Spectral–Spatial Features in Hyperspectral Images

Anisotropic light propagation in bovine muscle tissue depends on the initial fiber orientation, muscle type and wavelength

Characterization of chicken muscle disorders through metabolomics, pathway analysis, and water relaxometry: a pilot study

Comprehensive Evaluation of Parameters Affecting One-Step Method for Quantitative Analysis of Fatty Acids in Meat

Hyperspectral imaging and machine learning in food microbiology: Developments and challenges in detection of bacterial, fungal, and viral contaminants

Hyperspectral imaging and deep learning for quantification of Clostridium sporogenes spores in food products using 1D- convolutional neural networks and random forest model

Potential of deep learning and snapshot hyperspectral imaging for classification of species in meat

Movements of moisture and acid in gastric milk clots during gastric digestion: Spatiotemporal mapping using hyperspectral imaging

Comparative evaluation of miniaturized and conventional NIR spectrophotometer for estimation of fatty acids in cheeses

Identification of Cold Spots Using Non-Destructive Hyperspectral Imaging Technology in Model Food Processed by Coaxially Induced Microwave Pasteurization and Sterilization

Support vector regression for prediction of stable isotopes and trace elements using hyperspectral imaging on coffee for origin verification

Hyperspectral imaging and deep learning for detection and quantification of germination in Bacillus cereus spores

The potential new microbial hazard monitoring tool in food safety: Integration of metabolomics and artificial intelligence

Towards the non-invasive assessment of staling in bovine hides with hyperspectral imaging

Hyperspectral imaging through vacuum packaging for monitoring cheese biochemical transformation caused by Clostridium metabolism

Internal reflectance cell fluorescence measurement combined with multi-way analysis to detect fluorescence signatures of undiluted honeys and a fusion of fluorescence and NIR to enhance predictability

Early on-line classification of beef carcasses based on ultimate pH by near infrared spectroscopy

Mapping the Spatiotemporal Distribution of Acid and Moisture in Food Structures during Gastric Juice Diffusion Using Hyperspectral Imaging

The potential of deep learning to counter the matrix effect for assessment of honey quality and monoflorality

Characterization of volatile metabolites associated with confinement odour during the shelf-life of vacuum packed lamb meat under different storage conditions

A critical review of social media research in sensory-consumer science

Assessment of bovine milk fatty acids using miniaturised near infrared spectrophotometer

Preparation of drip samples from leg of lamb with extended shelf life for nuclear magnetic resonance metabolomics studies

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