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http://krishi.icar.gov.in/jspui/handle/123456789/20360
Title: | Simultaneous authentication of species identity and geographical origin of shrimps: Untargeted metabolomics to recurrent biomarker ions |
Other Titles: | Not Available |
Authors: | Chatterjee, N.S. Olivier P. Chevallier Ewa Wielogorska Connor Black Christopher T. Elliott |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | Institute for Global Food Security, School of Biological Sciences, Queen’s University Belfast, United Kingdom ICAR- Central Institute of Fisheries Technology, Cochin, India Mass Spectrometry Core Technology Unit, Queen’s University Belfast, United Kingdom School of Pharmacy, Queen’s University Belfast, United Kingdom University of Chemistry and Technology, Department of Food Analysis and Nutrition, Prague, Czech Republic |
Published/ Complete Date: | 2019 |
Project Code: | Not Available |
Keywords: | Untargeted metabolomics Chemometrics Biomarker identification Shrimp fraud Species authentication |
Publisher: | Elsevier |
Citation: | Chatterjee, N.S., Olivier P. Chevallier, Ewa Wielogorska, Connor Black and Christopher T. Elliott (2019) Simultaneous authentication of species identity and geographical origin of shrimps: Untargeted metabolomics to recurrent biomarker ions. Journal of Chromatography A. https://doi.org/10.1016/j.chroma.2019.04.001 |
Series/Report no.: | Not Available; |
Abstract/Description: | Mandatory disclosure of the species identity, production method, and geographical origin are embedded in the regulations and traceability systems, governing international seafood trade. A high-resolution mass spectrometry-based metabolomics approach could simultaneously authenticate the species identity and geographical origin of commercially important shrimps. The highly innovative approach spared the need for multiple testing methods which are in routine use currently. A robust chemometric model, developed using the metabolite fingerprint dataset, could accurately predict the species identity of the shrimp samples. Subsequently, species-specific biomarkers were discovered and a tandem mass spectrometry method for authentication of the species was developed. Two other chemometric models from the metabolomics experiment accurately predicted the geographical origin of king prawns and tiger prawns. The study has shown for the first time that food-metabolomics along with chemometrics can simultaneously check for multiple seafood fraud issues in the global seafood supply-chain. |
Description: | Not Available |
ISSN: | 0021-9673 |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Journal of Chromatography - A |
NAAS Rating: | 10.05 |
Volume No.: | Not Available |
Page Number: | Not Available |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | https://doi.org/10.1016/j.chroma.2019.04.001 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/20360 |
Appears in Collections: | FS-CIFT-Publication |
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