Quantitative in-situ NMR to characterize protein oxidation and its dynamics - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Conference Papers Year : 2016

Quantitative in-situ NMR to characterize protein oxidation and its dynamics

Abstract

Preserving food quality is critical to limit the oxidation processes. The evolution of meat colour or the development of rancid taste in oils are two examples of oxidative processes degrading the food quality. The reaction of oxygen (or its derivatives) with metal ions naturally present in food ( eg. iron) forms free radical reactive oxygen species (ROS). These ROS are the main factors of food oxidation. The aim of this work is to evaluate the intakes of quantitative in situ NMR to understand and characterize the oxidation mechanisms. Our preliminary work focussed on the evaluation of some amino acid mixtures as models of protein oxidation. Due to NMR signal overlaps, recording 2D NMR spectra is indispensable to isolate NMR signals from targeted amino-acids. However, these experiments are time- consuming and not adapted to chemically evolving media. To address this limitation, we developed tailored hybrid methods based on ultrafast 2D NMR. The spectrum recording time decreased from ~30 min for a classical pulse sequence to a few minutes only with the ultrafast method. This approach allows the real-time monitoring of chemical evolutions in such complex mixtures. Using this quantitative approach, we observed a fast oxidation for the histidine while threonine and lysine oxidization kinetics were significantly slower. Our analytical approach offers a promising tool to monitor oxidation processes in food products.
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Origin Files produced by the author(s)

Dates and versions

hal-02793518 , version 1 (05-06-2020)

Identifiers

  • HAL Id : hal-02793518 , version 1
  • PRODINRA : 370032

Cite

Guilhem Pages, Amaël Morisse, Philippe P. Gatellier, Estelle Martineau, Patrick Giraudeau, et al.. Quantitative in-situ NMR to characterize protein oxidation and its dynamics. 13. International Conference on the Applications of Magnetic Resonance in Food Science, Jun 2016, Karlsruhe, Germany. 1 p. ⟨hal-02793518⟩

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