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Species Determination and Quantitation in Mixtures Using MRM Mass Spectrometry of Peptides Applied to Meat Authentication.
Gunning, Yvonne; Watson, Andrew D; Rigby, Neil M; Philo, Mark; Peazer, Joshua K; Kemsley, E Kate.
Affiliation
  • Gunning Y; Analytical Sciences Unit, Institute of Food Research.
  • Watson AD; Analytical Sciences Unit, Institute of Food Research.
  • Rigby NM; Institute of Food Research.
  • Philo M; Analytical Sciences Unit, Institute of Food Research.
  • Peazer JK; Analytical Sciences Unit, Institute of Food Research; School of Chemistry, University of East Anglia.
  • Kemsley EK; Analytical Sciences Unit, Institute of Food Research; kate.kemsley@ifr.ac.uk.
J Vis Exp ; (115)2016 09 20.
Article in En | MEDLINE | ID: mdl-27685654
ABSTRACT
We describe a simple protocol for identifying and quantifying the two components in binary mixtures of species possessing one or more similar proteins. Central to the method is the identification of 'corresponding proteins' in the species of interest, in other words proteins that are nominally the same but possess species-specific sequence differences. When subject to proteolysis, corresponding proteins will give rise to some peptides which are likewise similar but with species-specific variants. These are 'corresponding peptides'. Species-specific peptides can be used as markers for species determination, while pairs of corresponding peptides permit relative quantitation of two species in a mixture. The peptides are detected using multiple reaction monitoring (MRM) mass spectrometry, a highly specific technique that enables peptide-based species determination even in complex systems. In addition, the ratio of MRM peak areas deriving from corresponding peptides supports relative quantitation. Since corresponding proteins and peptides will, in the main, behave similarly in both processing and in experimental extraction and sample preparation, the relative quantitation should remain comparatively robust. In addition, this approach does not need the standards and calibrations required by absolute quantitation methods. The protocol is described in the context of red meats, which have convenient corresponding proteins in the form of their respective myoglobins. This application is relevant to food fraud detection the method can detect 1% weight for weight of horse meat in beef. The corresponding protein, corresponding peptide (CPCP) relative quantitation using MRM peak area ratios gives good estimates of the weight for weight composition of a horse plus beef mixture.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides / Mass Spectrometry / Meat Limits: Animals Language: En Journal: J Vis Exp Year: 2016 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides / Mass Spectrometry / Meat Limits: Animals Language: En Journal: J Vis Exp Year: 2016 Document type: Article