QUALITY AND AUTHENTICITY ASSESSMENT OF FISH AND CAVIAR BY FATTY ACID,STABLE ISOTOPE AND FLAVOUR PROFILES

• Main Author: M.L. Busetto
• Other Authors: tutor: Vittorio M. Moretti, coordinator: Valentino Bontempo, MORETTI, VITTORIO MARIA, BONTEMPO, VALENTINO
• Format: Doctoral or Postdoctoral Thesis
• Language: English
• Published: Università degli Studi di Milano 2010
• Subjects: fish quality; fatty acid; stable isotope; caviar; volatile compounds; Settore AGR/19 - Zootecnica Speciale; Turbot
• Online Access: http://hdl.handle.net/2434/150093; https://doi.org/10.13130/busetto-maria-letizia_phd2010-12-13

International fish trade is nowadays strongly influenced by food authenticity and safety norms, and several European Directives have introduced aspects concerning quality and safety standards into the fish chain. These regulations were aimed to provide consumers with a minimum of information on the origin of these products. It is well documented that farming conditions and dietary treatments can largely modify aquaculture products. On the basis of this consideration, several studies have been published to investigate the potential of different analytical tools in distinguishing wild and farmed fish. Classically, this was carried out using scale pattern analysis and morphological characteristics or a combination of both methods. More recently, many analytical procedures have been applied for this purpose, ranging from the determination of carotenoid stereoisomers to the use of fatty acid profile and compositional analysis as well as to the quantification of different levels of organic contaminants, in conjunction with statistical multivariate analysis. According to these considerations, the aim of the first trial of the present work was to study the potential application of fatty acid analysis and IRMS of carbon and nitrogen in the muscle tissue of wild and farmed turbot to discriminate the production method and the geographical origin of fish. Both linear discriminant analysis (LDA) and soft independent modeling of class analogy (SIMCA) were applied to the data as classification tools. For this purpose, 30 wild turbot from Spain and 30 farmed turbot from Denmark and The Netherlands were collected. The application of linear discriminant analysis (LDA) and soft independent modeling of class analogy (SIMCA) to analytical data demonstrated the combination of fatty acids and isotopic measurements to be a promising method to discriminate between wild and farmed fish and between wild fish of different geographical origin. In particular, IRMS (Isotope Ratio Mass Spectrometry) alone did not permit us to separate ...