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Recherche transversale
(titres de publication, de périodique et noms de colloque inclus)
2016-10-17 - Colloque/Présentation - communication orale - Anglais - 1 page(s)

Romoaldo Gilson , Hambye Stéphanie , Tagliatti Vanessa , Colet Jean-Marie , Blankert Bertrand , "Assessing emotional states : metabonomic profiling and quantification of a salivary biomarker" in 19th Forum of Pharmaceutical Sciences, Bruxelles, Belgique, 2016

  • Codes CREF : Analyse et contrôle pharmaceutique (DI3450), Bases générales de la science et de la culture (DI0100)
  • Unités de recherche UMONS : Métrologie et Sciences du langage (P362), Biologie humaine et Toxicologie (M125), Analyse pharmaceutique (M130)
  • Instituts UMONS : Institut des Sciences et Technologies de la Santé (Santé)
Texte intégral :

Abstract(s) :

(Anglais) Different biomarkers used for assessing emotional state of individuals are documented in the literature. In our study we try to monitor stress, cognitive (over)load and mental fatigue with non-invasive techniques. Using saliva as biofluid, we consider the quantification of biomarkers, in particular 3-Methoxy-4-hydroxyphenylglycol (MHPG) a Norepinephrine metabolite which salivary levels are directly linked to plasma concentration and correlated to different emotional states1. Recurrently, electrochemical detection (ECD) methods remain the first choice for quantification of catecholamines. As a matter of fact, due to electroactive properties of these molecules, ECD offers a high sensitivity and selectivity when operating with physiological concentrations (ng/mL)2. The quantification of MHPG is operated using amperometric detection. A preliminary study in a 5mL cell involved a cyclic voltammetry analysis to determine MHPG properties. This work has driven us to select an ideal oxidation potential as well as the best pH condition to operate quantification of MHPG using amperometric detection. Thereafter, an amperometric method is developed to properly quantify salivary MHPG using different solvents including artificial saliva3. In this first step we used a classical 3 electrodes system (glassy carbon as working electrode, Ag/AgCl/KCl 3M as a reference electrode and platinum as auxiliary electrode). The next step of our study will be to use another electrolysis cell, or different types of electrodes and connect this amperometric detection to a chromotographic system so as to perform an automatic analysis of oral fluid samples. In an other hand, from a metabonomic profiling using 1HNMR spectra of saliva samples we try to determine a connexion between the fluctuation of the cognitive load as well as fatigue and the variability of the metabolite content of this biofluid. 1 : R.-K. Yang et al. In Biol. Psychiatry, vol. 42, no. 9, pp. 821–826, Nov. 1997. 2 : W.J. Cubala et al. In Journal of affective disorders 161, pp. 4-7, March 2014. 3 : J.-Y. Gal et al. Talanta 53, pp. 1103–1115, March 2001.