Abstract

Salmon is one of the most valuable and beneficial fish sold worldwide, also thanks to the enormous benefits on human health related to its consumption. The increasing demand of this product on the market has led, on the one hand, to the depletion of the wild type species in the oceans, on the other hand, to the intensification of farming practices in aquaculture systems. In the last years, the increase of food fraud and adulterant substitutions with serious consequences on the consumers and the economic systems, has solicited the development of new analytical and fast methods able to detect illegal manipulation or food mislabeling. Non targeted methods have recently emerged as an alternative and rapid strategy to confirm food authenticity. Despite the classical targeted methods mainly aimed at detecting specific indicators, untargeted analysis represents a novel tool able to collect a multitude of data, not correlated to known parameters, that are further processed via advanced statistical tools. In the present communication, an untargeted workflow based on High Resolution Mass Spectrometry analysis was applied to the protein fraction of farmed and wild type salmon extracts (belonging to Salmo salar species) aimimng at assessing its capability to discriminate between both salmon groups. The protein mixture extracted by using an urea based buffer, was further enzymatically cleaved by using trypsin and then submitted to a cleanup step before LC-HRMS analysis. MS/MS experiments were performed on a triple TOF-MS in DIA analysis by applying the SWATH mode and data evaluation was further accomplished by using a chemometric software. A preliminary analysis (PCA) was carried out on all peptides detected after data processing and the peak area values were used to highlight any eventual discrimination between both salmon groups. The resulting score plot referred to the PCA using all peptides already demonstrated a clear separation between wild type and farmed salmons. In addition, an evaluation on the extracted ion chromatograms (XICs) relative to the most abundant peptides in wild or farmed salmons showed that some peptides displayed a different abundance, in terms of intensities, in farmed or wild salmons, suggesting the possibility to identify a list of candidate peptide markers capable of discriminating farmed from wild salmons. In conclusion, the application of untargeted LC-HRMS/MS approach, integrated by multivariate statistical analysis, appears to be a promising tool for the discrimination of farmed and wild type salmons.

Autore Pugliese

• Monaci Linda

Tutti gli autori

• G.M. FIorino; M. Fresch; I. Brümmer; I. Losito; J. Brockmeyer; L. Monaci

Titolo volume/Rivista

Non Disponibile

Anno di pubblicazione

2018

ISSN

Non Disponibile

ISBN

978-2-9566303-2-6

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

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Numero di citazioni Scopus

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Ultimo Aggiornamento Citazioni

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Settori ERC

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Codici ASJC

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