Calibration robustness improvements for the early prediction of the pH24 of pork with Raman spectroscopy
The aim of this project is to improve the robustness of Raman prediction models with new samples with high pH24 values. We also tested the ability of the Raman spectrometer to predict pH24 online, with a reduced integration time.
Fiche technique
Titre :
Calibration robustness improvements for the early prediction of the pH24 of pork with Raman spectroscopy
Date sortie / parution :
2023
Référence :
69th ICoMST (International Congress of Meat Science and Technology), 20-25 août 2023, Padoue (Italie), poster
Auteurs
Quelques mots clés
Autres documents
Effect of reduced sodium nitrite doses on the colour, oxidation, and nitroso-compounds of “pâté de campagne”
In France, “Pâté de campagne” is a cooked product with important gastronomic traditions. Due to its composition, rich in fat and iron, pâté is highly susceptible to oxidation. We assessed…
Publié en 2023MONOFILM: Eco-conception towards the recycling of sealed PET
The MONOFILM project aimed to support the transition from complex plastic trays to sealed PET (polyethylene terephtalate) trays, meeting eco-design recommendations (able to be inserted without disruption into current or…
Publié en 2023