Literature DB >> 28397256

The application of compound-specific isotope analysis of fatty acids for traceability of sea cucumber (Apostichopus japonicus) in the coastal areas of China.

Yu Liu1, Xufeng Zhang1, Ying Li2, Haixia Wang2.   

Abstract

BACKGROUND: Geographical origin traceability is an important issue for controlling the quality of seafood and safeguarding the interest of consumers. In the present study, a new method of compound-specific isotope analysis (CSIA) of fatty acids was established to evaluate its applicability in establishing the origin traceability of Apostichopus japonicus in the coastal areas of China. Moreover, principal component analysis (PCA) and discriminant analysis (DA) were applied to distinguish between the origins of A. japonicus.
RESULTS: The results show that the stable carbon isotope compositions of fatty acids of A. japonicus significantly differ in terms of both season and origin. They also indicate that the stable carbon isotope composition of fatty acids could effectively discriminate between the origins of A. japonicus, except for between Changhai Island and Zhangzi Island in the spring of 2016 because of geographical proximity or the similarity of food sources. The fatty acids that have the highest contribution to identifying the geographical origins of A. japonicus are C22:6n-3, C16:1n-7, C20:5n-3, C18:0 and C23:1n-9, when considering the fatty acid contents, the stable carbon isotope composition of fatty acids and the results of the PCA and DA.
CONCLUSIONS: We conclude that CSIA of fatty acids, combined with multivariate statistical analysis such as PCA and DA, may be an effective tool for establishing the traceability of A. japonicus in the coastal areas of China. The relevant conclusions of the present study provide a new method for determining the traceability of seafood or other food products.
© 2017 Society of Chemical Industry. © 2017 Society of Chemical Industry.

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Keywords:  CSIA; GC-C-IRMS; authentication; food quality; geographical origin; seadood

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Year:  2017        PMID: 28397256     DOI: 10.1002/jsfa.8367

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


  1 in total

1.  Validation and analysis of the geographical origin of Angelica sinensis (Oliv.) Diels using multi-element and stable isotopes.

Authors:  Shanjia Li; Hui Wang; Ling Jin; James F White; Kathryn L Kingsley; Wei Gou; Lijuan Cui; Fuxiang Wang; Zihao Wang; Guoqiang Wu
Journal:  PeerJ       Date:  2021-08-06       Impact factor: 2.984

  1 in total

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