Linyun Chen
- ORCID iD
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0000-0003-2581-8805
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Volatolomics reveals the influence of O2/CO2 on the growth of Pseudomonas fragi and its volatile metabolites on meat substrates
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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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Microbial spoilage of pork packed under modified atmospheres : from mechanisms to predictive modeling
(2025) -
- Journal Article
- A1
- open access
Modeling the growth and volatile metabolite production of spoilage-causing Brochothrix thermosphacta on solid meat substrates under modified atmospheres
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- Journal Article
- A2
- open access
Egg freshness during storage : the effect of laying hen age and shelf life prediction using a novel hybrid modeling method
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Understanding microbial spoilers in pork : Pseudomonas fragi and its spoilage potential under modified atmospheres
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Insights into pork spoilage under modified atmospheres : unraveling and modeling the relationship between Brochothrix thermosphacta levels and volatile metabolite production
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- Journal Article
- A1
- open access
Rapid and non-destructive microbial quality prediction of fresh pork stored under modified atmospheres by using selected-ion flow-tube mass spectrometry and machine learning
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- 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