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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

Lingyun Chen, Lotta Kuuliala, Mariem Somrani, Christophe Walgraeve, Kristof Demeestere, Bernard De Baets, Frank Devlieghere

2024Meat Science10 citationsDOIOpen Access PDF

Topics & Concepts

Partial least squares regressionChemometricsFood spoilageSupport vector machinePredictive modellingArtificial intelligenceMachine learningChemistryProcess engineeringEnvironmental scienceComputer scienceEngineeringBiologyGeneticsBacteriaAdvanced Chemical Sensor TechnologiesMeat and Animal Product QualitySpectroscopy and Chemometric Analyses
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 | Litcius