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2017-09-14 - Colloque/Présentation - communication orale - Anglais - 17 page(s)

Romoaldo Gilson , Hambye Stéphanie , Tagliatti Vanessa , Colet Jean-Marie , Blankert Bertrand , "Emotions and saliva" in EDT Scieces pharmaceutiques : PHD Day , Spa, Belgique , 2017

  • 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 states. 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). In order to reach a better assessment of emotional states, we are adapting this method for the quantification of different biomarkers such as Cortisol and DHEA. 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.

(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 states. 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). In order to reach a better assessment of emotional states, we are adapting this method for the quantification of different biomarkers such as Cortisol and DHEA. 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.