Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 504572
Title Authentication of Closely Related Fish and Derived Fish Products Using Tandem Mass Spectrometry and Spectral Library Matching
Author(s) Nessen, Merel A.; Zwaan, Dennis J. van der; Grevers, Sander; Dalebout, Hans; Staats, Martijn; Kok, Esther; Palmblad, Magnus
Source Journal of Agricultural and Food Chemistry 64 (2016)18. - ISSN 0021-8561 - p. 3669 - 3677.
DOI http://dx.doi.org/10.1021/acs.jafc.5b05322
Department(s) RIKILT - Business unit Dierbehandelingsmiddelen
FBR Sustainable Chemistry & Technology
RIKILT - BU Toxicology Bioassays & Novel Foods
Publication type Refereed Article in a scientific journal
Publication year 2016
Keyword(s) food authentication - mass spectrometry - proteomics - species identification - spectral libraries
Abstract

Proteomics methodology has seen increased application in food authentication, including tandem mass spectrometry of targeted species-specific peptides in raw, processed, or mixed food products. We have previously described an alternative principle that uses untargeted data acquisition and spectral library matching, essentially spectral counting, to compare and identify samples without the need for genomic sequence information in food species populations. Here, we present an interlaboratory comparison demonstrating how a method based on this principle performs in a realistic context. We also increasingly challenge the method by using data from different types of mass spectrometers, by trying to distinguish closely related and commercially important flatfish, and by analyzing heavily contaminated samples. The method was found to be robust in different laboratories, and 94-97% of the analyzed samples were correctly identified, including all processed and contaminated samples.

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