Toward the prediction of PSE-like muscle defect in hams: Using chemometrics for the spectral fingerprinting of plasma - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Article Dans Une Revue Food Control Année : 2020

Toward the prediction of PSE-like muscle defect in hams: Using chemometrics for the spectral fingerprinting of plasma

Laetitia Theron
Thierry Sayd
  • Fonction : Auteur
  • PersonId : 1204832
Christophe Chambon
Antoine Vautier
  • Fonction : Auteur
Laurent Aubry
  • Fonction : Auteur
  • PersonId : 1202812
Vincenza Ferraro

Résumé

PSE-like muscle defect is of great importance in the cooked ham industry because of the economic losses it can cause. Although this muscle defect has been widely studied from a mechanistic angle, there is a lack of reliable and practical markers. This study proposes the use of chemometrics for the spectral fingerprinting of pig plasma to predict the PSE-like muscle defect in cooked hams. Both MALDI-TOF mass spectrometry and ATR-FTIR spectroscopy were used to obtain protein and chemical function fingerprints. Though the two approaches showed very good predictive capacity, MALDI-TOF mass spectrometry was found to be better suited to predicting normal hams, i.e. hams without the defect; while ATR-FTIR spectroscopy was found to be better suited to predicting the PSE-like muscle defect. These results demonstrated the feasibility of predicting the PSE-like defect using spectral fingerprinting and chemometrics approaches.
Fichier non déposé

Dates et versions

hal-02622914 , version 1 (26-05-2020)

Identifiants

Citer

Laetitia Theron, Thierry Sayd, Christophe Chambon, Antoine Vautier, Claude de Oliveira Ferreira, et al.. Toward the prediction of PSE-like muscle defect in hams: Using chemometrics for the spectral fingerprinting of plasma. Food Control, 2020, 109, ⟨10.1016/j.foodcont.2019.106929⟩. ⟨hal-02622914⟩

Collections

INRAE
13 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More