Authentication of Closely Related Fish and Derived Fish Products Using Tandem Mass Spectrometry and Spectral Library Matching

作者：Nessen Merel A; van der Zwaan Dennis J; Grevers Sander; Dalebout Hans; Staats Martijn; Kok Esther; Palmblad Magnus

来源：Journal of Agricultural and Food Chemistry, 2016, 64(18): 3669-3677.

DOI：10.1021/acs.jafc.5b05322

• food authentication
• species identification
• mass spectrometry
• proteomics
• spectral libraries

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.

• 出版日期2016-5-11