Related Experiment Video
Updated: Aug 4, 2026

Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification
Published on: August 17, 2015
How processing affects marker peptide quantification - A comprehensive estimation on bovine material relevant for
Tobias Stobernack1, Tessa Höper2, Uta M Herfurth2
1German Federal Institute for Risk Assessment, Department Food Safety, National Reference Laboratory for Animal Protein in Feed, Max-Dohrn-Str. 8-10, 10589 Berlin, Germany; Technische Universität Berlin, Institute of Biotechnology, Bioanalytics, Gustav-Meyer-Allee 25, 13355 Berlin, Germany.
Abstract:
Processing food and feed challenges official control e.g. by modifying proteins, which leads to significant underestimation in targeted, MS-based protein quantification. Whereas numerous studies identified processing-induced changes on proteins in various combinations of matrices and processing conditions, studying their impact semi-quantitatively on specific protein sequences might unveil approaches to improve protein quantification accuracy. Thus, 335 post-translational modifications (e.g. oxidation, deamidation, carboxymethylation, Amadori, acrolein adduction) were identified by bottom-up proteomic analysis of 37 bovine materials relevant in food and feed (meat, bone, blood, milk) with varying processing degrees (raw, spray-dried, pressure-sterilized). To mimic protein recovery in a targeted analysis, peak areas of marker and reference peptides were compared to those of their modified versions, which revealed peptide-specific recoveries and variances across all samples. Detailed analysis suggests that incorporating two modified versions additionally to the unmodified marker may significantly improve quantification accuracy in targeted MS-based food and feed control in processed matrices.
More Related Videos
09:26Species Determination and Quantitation in Mixtures Using MRM Mass Spectrometry of Peptides Applied to Meat Authentication
Published on: September 20, 2016
08:00Sample Preparation and Relative Quantitation using Reductive Methylation of Amines for Peptidomics Studies
Published on: November 4, 2021