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. © 2009 Elsevier Ltd. All rights reserved.

Metabolic profiling and aquaculture differentiation of gilthead sea bream by 1H NMR metabonomics / Savorani, F.; Picone, G.; Badiani, A.; Fagioli, P.; Capozzi, F.; Engelsen, S. B.. - In: FOOD CHEMISTRY. - ISSN 0308-8146. - ELETTRONICO. - 120:3(2010), pp. 907-914. [10.1016/j.foodchem.2009.10.071]

Metabolic profiling and aquaculture differentiation of gilthead sea bream by 1H NMR metabonomics

Savorani F.;
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. © 2009 Elsevier Ltd. All rights reserved.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2815640