Abstract

ABSTRACT The geographical origin of mud crab (Scylla paramamosain) has been arousing increasing interest to consumers due to their flavour and market price. In this study, an NMR-based metabolomics method was used to characterize the differences in the chemical composition of muscle samples of mud crabs caught in four different geographical areas of China. The results showed that a statistically significant separation existed between each of the groups of mud crabs in terms of their geographical origins. The major metabolites responsible for differentiation included inosine 5’-monophosphate (IMP), adenosine 5’-monophosphate (AMP), and some amino acids. A gradual increase in the AMP level in conjunction with a declining IMP level was closely associated with the growth latitude of the mud crab, which means that these metabolites could potentially be used to characterize the specific geographic origin of mud crabs. This information might be useful for assessing the quality of mud crabs from different geographical origins.

Highlights

  • Foodomics is broadly defined as a global and integrative strategy to bring about ‘precision nutrition’ and holistic studies of food composition, quality and safety, and their applications to improve health for humans, animals, and other living organisms on the planet under an ethos of ‘One Health’ (Bayram and Gökırmaklı 2018)

  • An nuclear magnetic resonance (NMR)-based metabolomics method has not been applied in the discrimination of geographical origin of crab so far, it is worthy to note that such analytical method has been acknowledged as accurate, rapid, and reliable for using metabolites to characterize the geographic origin of foods

  • A combination method of 1H NMR spectroscopy coupled with orthogonal projection to latent structure discriminant analysis (OPLS-DA) is reliable for discriminating S. paramamosain from four different geographical regions in China

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Summary

Introduction

Foodomics is broadly defined as a global and integrative strategy to bring about ‘precision nutrition’ and holistic studies of food composition, quality and safety, and their applications to improve health for humans, animals, and other living organisms on the planet under an ethos of ‘One Health’ (Bayram and Gökırmaklı 2018). In spite of low sensitivity in comparison to mass spectrometry (MS), an NMR-based metabolomics method has still generated great interest for the intrinsical reproducibility with rich structure information and quantitation of all abundant primary and secondary metabolites of foods in a single spectrum (Nicholson et al 1999; Tang and Wang 2006) Such a method has been successfully applied in the discrimination of geographical origin of a variety of foods such as salmon fillets (Aursand et al 2009; Ørnholt-Johansson et al 2017), beef (Jung et al 2010), fruits (Longobardi et al 2013; Tomita et al 2015), and plants (Kim et al 2013; Longobardi et al 2017).

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