En utilisant ce site, vous acceptez que les cookies soient utilisés à des fins d'analyse et de pertinence     Oui, j'accepte  Non, je souhaite en savoir plus
Sujets de thèse
Filtrer par critères

DRF : Sujet de thèse SL-DRF-17-0975

DOMAINE DE RECHERCHE
Physique du solide, surfaces et interfaces / Physique de l'état condensé, chimie et nanosciences
INTITULÉ DU SUJET Français English

Dévelopment d'un nez optique biomimétique

RÉSUMÉ DU SUJET

Electronic noses (eNs) have emerged as promising tools for the analysis of volatile organic compounds (VOCs) with potential applications in a wide range of domains such as biomedicine. However, so far, their performance is still far behind that of the human nose.

In this thesis, we propose a new paradigm to prepare sensing materials by combining two recognition principles used in the human nose: specific recognition and cross-reactive interaction, with the aim to greatly improve the performances of eNs and to explore their potential applications in biomedical domains.

Herein, peptides will be used as building blocks for the preparation of sensing receptors. On the one hand, based on a biomimetic approach, we aim to obtain sensing receptors that can mimic binding properties of olfactory receptors, and on the other hand, based on a combinatorial approach developed in our laboratory, we aim to prepare cross-reactive receptors with great diversity giving correlated signals (landscapes). In particular, fundamental studies will be conducted to better understand and control the chemical and physical phenomena implicated in the interaction between peptides and VOCs. This will be achieved using surface analysis and thin layer characterization techniques available at PFNC. Surface plasmon resonance imaging will be used as the optical system for the analysis of various VOCs, with a special emphasis on the problematic of anosmia-related issues. A particular theoretical effort in data analysis will be made for establishing appropriate criteria for classification purposes by using cognitive approaches and artificial intelligence via collaboration with local scientists.

FORMATION NIVEAU MASTER RECOMMANDÉ

multidisciplinary background on physico-chemistry with strong interest on biochemistry

INFORMATIONS PRATIQUES
Institut nanosciences et cryogénie
SYstèmes Moléculaires et nanoMatériaux pour l’Energie et la Santé
Groupe Chimie pour la Reconnaissance et l'Etudes d'Assemblages Biologiques
Centre : Grenoble
Date souhaitée pour le début de la thèse : 01/10/2017
PERSONNE À CONTACTER PAR LE CANDIDAT

Yanxia HOU-BROUTIN  

CNRS
DSM/INAC/SyMMES/CREAB
CREAB/SyMMES/INAC
CEA Grenoble
17 rue des martyrs
38054 Grenoble

Téléphone : +33 4 38 78 94 78

UNIVERSITÉ / ÉCOLE DOCTORALE
Université Grenoble Alpes
Ecole Doctorale de Physique de Grenoble
DIRECTEUR DE THÈSE

Arnaud BUHOT

CEA
DRF/INAC/SyMMES/CREAB
INAC, SyMMES, CREAB
CEA Grenoble
17 rue des Martyrs
38054 Grenoble cedex 9