Literature DB >> 26676937

Development of an SPME-GC-MS method for the specific quantification of dimethylamine and trimethylamine: use of a new ratio for the freshness monitoring of cod fillets.

Alexandre Dehaut1, Simon Duthen1, Thierry Grard2, Frédéric Krzewinski3, Assi N'Guessan4, Anne Brisabois1, Guillaume Duflos1.   

Abstract

BACKGROUND: Fish is a highly perishable food, so it is important to be able to estimate its freshness to ensure optimum quality for consumers. The present study describes the development of an SPME-GC-MS technique capable of quantifying both trimethylamine (TMA) and dimethylamine (DMA), components of what has been defined as partial volatile basic nitrogen (PVB-N). This method was used, together with other reference methods, to monitor the storage of cod fillets (Gadus morhua) conserved under melting ice.
RESULTS: Careful optimisation enabled definition of the best parameters for extracting and separating targeted amines and an internal standard. The study of cod spoilage by sensory analysis and TVB-N assay led to the conclusion that the shelf-life of cod fillet was between 6 and 7 days. Throughout the study, TMA and DMA were specifically quantified by SPME-GC-MS; the first was found to be highly correlated with the values returned by steam distillation assays. Neither TMA-N nor DMA-N were able to successfully characterise the decrease in early freshness, unlike dimethylamine/trimethylamine ratio (DTR), whose evolution is closely related to the results of sensory analysis until the stage where fillets need to be rejected.
CONCLUSION: DTR was proposed as a reliable indicator for the early decrease of freshness until fish rejection.
© 2015 Society of Chemical Industry. © 2015 Society of Chemical Industry.

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Keywords:  DMA; PVB-N; QIM; SPME-GC-MS; TMA; TVB-N; fish freshness; storage assessment

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Year:  2016        PMID: 26676937     DOI: 10.1002/jsfa.7570

Source DB:  PubMed          Journal:  J Sci Food Agric        ISSN: 0022-5142            Impact factor:   3.638


  1 in total

1.  Freshness Assessment and Shelf-Life Prediction for Seriola dumerili from Aquaculture Based on the Quality Index Method.

Authors:  Jorge Freitas; Paulo Vaz-Pires; José S Câmara
Journal:  Molecules       Date:  2019-09-29       Impact factor: 4.411

  1 in total

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