This work describes a metabolic profiling study of gilthead sea bream, from three different aquaculture systems, using 1H NMR and chemometrics. A total of 54 samples under two different storage regimens were analysed. The assignment of all major NMR signals of the perchloric extracts was performed. A comprehensive multivariate data analysis proved able to distinguish the fish metabolism amongst the different aquaculture systems and to determine whether a fish was stored or not. The state of energy metabolism of inosine proved a robust biomarker for evaluating storage time. A new multivariate classification tool, iECVA, revealed several metabolites which are important biomarkers for characterising the three different aquaculture systems: glycogen (stress indicator), histidine, alanine and especially glycine for long storage times and mainly betaine for fresh samples. The findings represent a step forward in understanding how in vivo and postmortem processes affect the total quality of the final product.
F. Savorani, G. Picone, A. Badiani, P. Fagioli, F. Capozzi, S. B. Engelsen (2010). Metabolic profiling and aquaculture differentiation of gilthead sea bream by 1H NMR metabonomics. FOOD CHEMISTRY, 120, 907-914 [10.1016/j.foodchem.2009.10.071].
Metabolic profiling and aquaculture differentiation of gilthead sea bream by 1H NMR metabonomics
PICONE, GIANFRANCO;BADIANI, ANNA;CAPOZZI, FRANCESCO;
2010
Abstract
This work describes a metabolic profiling study of gilthead sea bream, from three different aquaculture systems, using 1H NMR and chemometrics. A total of 54 samples under two different storage regimens were analysed. The assignment of all major NMR signals of the perchloric extracts was performed. A comprehensive multivariate data analysis proved able to distinguish the fish metabolism amongst the different aquaculture systems and to determine whether a fish was stored or not. The state of energy metabolism of inosine proved a robust biomarker for evaluating storage time. A new multivariate classification tool, iECVA, revealed several metabolites which are important biomarkers for characterising the three different aquaculture systems: glycogen (stress indicator), histidine, alanine and especially glycine for long storage times and mainly betaine for fresh samples. The findings represent a step forward in understanding how in vivo and postmortem processes affect the total quality of the final product.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.