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Multi-target prediction in volatolomics with deep neural networks : modeling volatile organic compounds produced by Brochothrix thermosphacta under modified atmospheres
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Multi-target prediction with deep neural networks in foodomics : a case study on Brochothrix thermosphacta to predict volatile organic compounds linked to fresh meat spoilage
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- Journal Article
- A1
- open access
Characterizing the spoilage microbiota of Belgian market fresh-cut iceberg lettuce in controlled atmosphere packaging
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Metataxonomics study in fresh-cut iceberg lettuce packaged under modified atmosphere during storage
(2025) -
- Conference Paper
- C3
- open access
A comparison of different machine learning algorithms for predicting microbial quality during storage of modified atmosphere packaged pork based on volatile organic compounds
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Spoilage evaluation of raw Atlantic salmon (Salmo salar) stored under modified atmospheres by multivariate statistics and augmented ordinal regression
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Assessment throughout a whole fishing year of the dominant microbiota of peeled brown shrimp (Crangon crangon) stored for 7 days under modified atmosphere packaging at 4 °C without preservatives
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A predictive model for the growth/no growth boundary of Zygosaccharomyces bailii at 7°C and conditions mimicking acidified sauces
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Antibacterial activity of the glucose-oxidase glucose system in liquid whole egg