2013
DOI: 10.1021/pr4006525
|View full text |Cite
|
Sign up to set email alerts
|

Authentication of Fish Products by Large-Scale Comparison of Tandem Mass Spectra

Abstract: Authentication of food is a major concern worldwide to ensure that food products are correctly labeled in terms of which animals are actually processed for consumption. Normally authentication is based on species recognition by comparison of selected sequences of DNA or protein. We here present a new robust, proteome-wide tandem mass spectrometry method for species recognition and food product authentication. The method does not use or require any genome sequences or selection of tandem mass spectra but uses a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
34
0
1

Year Published

2015
2015
2020
2020

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 48 publications
(36 citation statements)
references
References 28 publications
1
34
0
1
Order By: Relevance
“…More recently, Wulff et al [37] worked on the development of a new robust, proteome-wide tandem mass spectrometry method based on a simple and standardized workflow, which considers protein extraction, digestion, and data analysis for fish authenticity.…”
Section: Chemical Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…More recently, Wulff et al [37] worked on the development of a new robust, proteome-wide tandem mass spectrometry method based on a simple and standardized workflow, which considers protein extraction, digestion, and data analysis for fish authenticity.…”
Section: Chemical Methodsmentioning
confidence: 99%
“…Evaluation of fish quality; discrimination of wild type from farmed fish; detection of fish mislabeling; fraudulent species substitutions; differentiation between fresh/frozen fish fillets [29][30][31][32][33][34][35] Tandem mass spectrometry Detection of seafood traceability, food safety, risk management, and authentication analysis [36,37] REIMS Identification of fish species; distinction among different catch methods within a fish species [38] MALDI-TOF-MS analysis Detection of species-specific biomarker for fish authentication; identification of fish species and substitutions; evaluation of fish freshness [39][40][41][42] Isotope ratio mass spectrometry (IRMS); stable isotopes analysis Detection of mislabeling of fish origin; discrimination of wild type from farmed fish [43,44] the assessment of authenticity of fishery products has been limited so far. In particular, SIMCA has been applied, in comparison with Linear Discriminant Analysis (LDA), to distinguish more valuable fish species, namely, red mullet and plaice, from cheaper ones (Atlantic mulled and flounder) and even to recognize Atlantic mullet fresh fillets from frozenthawed ones, starting from FT-NIR data in both cases [34].…”
Section: Near-infrared Spectroscopy (Nirs)mentioning
confidence: 99%
“…Recently methods based on the direct use of spectral libraries have been suggested [33,34] for unbiased species [20,35,36] and tissue specific [37] classification even of processed samples. To assess if such Fig.…”
Section: Species and Tissue Specific Pap Identification By Direct Spementioning
confidence: 99%
“…Light microscopy methods are used to detect PAP when the feed is not supposed to contain PAP or blood products [8], and an European Union Reference Laboratory (EURL) validated polymerase chain reaction (PCR) based method [11] is used for ruminant DNA-detection [12][13][14][15] when the feed is known to contain PAP or blood products, as indicated from the declaration or the labelling [16]. While high in discriminative power for species-specific DNA fragments [17], PCR based methods suffer in accuracy when food matrices are very complex or have been processed at higher temperatures [18][19][20]. In addition, PCR does not allow for a differentiation of cellular origin [21], and hence cannot be used for tissue specific (i.e.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation