Ghent University Academic Bibliography

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A non-destructive, autoencoder-based approach to detecting defects and contamination in reusable food packaging

Anh Minh Truong (UGent) and Hiep Luong (UGent)

(2024) CURRENT RESEARCH IN FOOD SCIENCE. 8.
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Integrating near-infrared hyperspectral imaging with machine learning and feature selection : detecting adulteration of extra-virgin olive oil with lower-grade olive oils and hazelnut oil

Derick Malavi (UGent) , Katleen Raes (UGent) and Sam Van Haute (UGent)

(2024) CURRENT RESEARCH IN FOOD SCIENCE. 9.
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An extrusion-based 3D food printing approach for generating alginate-pectin particles

Valentine Rysenaer, Safoura Ahmadzadeh, Filip Van Bockstaele (UGent) and Ali Ubeyitogullari

(2023) CURRENT RESEARCH IN FOOD SCIENCE. 6.
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Rheo-NMR to investigate fat crystallization under shear

Ferre Rebry (UGent) , Arnout Declerck, Karl-Friedrich Ratzsch, Manfred Wilhelm, Koen Dewettinck (UGent) and Paul Van der Meeren (UGent)

(2021) CURRENT RESEARCH IN FOOD SCIENCE. 4. p.414-420
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Improved bioaccessibility of polymethoxyflavones loaded into high internal phase emulsions stabilized by biopolymeric complexes : a dynamic digestion study via TNO's gastrointestinal model

Wahyu Wijaya, Huijuan Zheng, Ting Zheng, Shiwei Su, Ashok R. Patel, Paul Van der Meeren (UGent) and Qingrong Huang

(2020) CURRENT RESEARCH IN FOOD SCIENCE. 2. p.11-19

Academic Bibliography

A non-destructive, autoencoder-based approach to detecting defects and contamination in reusable food packaging

Integrating near-infrared hyperspectral imaging with machine learning and feature selection : detecting adulteration of extra-virgin olive oil with lower-grade olive oils and hazelnut oil

An extrusion-based 3D food printing approach for generating alginate-pectin particles

Rheo-NMR to investigate fat crystallization under shear

Improved bioaccessibility of polymethoxyflavones loaded into high internal phase emulsions stabilized by biopolymeric complexes : a dynamic digestion study via TNO's gastrointestinal model

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