R-ELISA Research group

University of Montreal

Richard Martelle

Full Professor, Department of Chemistry

University of Montreal web page
ResearchGate

Suzanne Gaisson

Full Professor, Department of Chemistry

University of Montreal web page
ResearchGate

University of Laval

Samuel Godefroy

Full Professor, Department of Food Science

University of Laval web page
ResearchGate
 

Coordinator:

Jérémie Théolier

Partnership advisor:

Marie-Josée Colbert

Research professional:

Laurence Convert

Postdoctoral fellows:

PhD students:

MSc students:

Alumni:

A. Biomarker parameters identification

• Selection of biomarker for allergens identification;
• Development of antibody-biomarker attachment protocol;
• Evaluation of protocol effectiveness for identifying antigens in a food matrix.

Professor Richard Martel, professor Suzanne Giasson, professor Samuel Godefroy

• Gaufrès, E. et al. Hyperspectral Raman imaging using Bragg tunable filters of graphene and other low-dimensional materials. J. Raman Spectrosc. (2017). doi:10.1002/jrs.5298
• Manny, E., Domingez, S. A., Barrère, V., Théolier, J. & Godfroy, S. B. Allergen action levels for food industries as risk management tools for a better use of precautionary allergen labeling. Food Control 135, (2022)
• St-Pierre, L. Détection d'antigènes de noix avec des nanosondes de nanocornes de carbone. (Université de Montréal, 2022)

B. Optimisation of R-ELISA probe

• Optimisation of nanostructure of nanohorne (CHNs);
• Purification and encapsulation of dyes;
• Development of a selective dye detection method.

Professor Nadi Braidy, professor Richard Martel

• Casteignau, F. et al. Synthesis of Carbon Nanohorns by Inductively Coupled Plasma. Plasma Chem. Plasma Process. 42, 465-481 (2022)

C. Quantification and prototype

• Quantification and multivariate analysis of Raman signals;
• Development a device capable of collecting full spectra of pure components with a 2D detector.

Professor Ryan Gosselin, professor Paul G. Charette, professor Nadi Braidy

• Lavoie, F. B., Braidy, N. & Gosselin, R. Including noise characteristics in MCR to improve mapping and component extraction from spectral images. Chemom. Intell, Lab. Syst. 153, 40-50 (2016)
• Fauteux-Lefebvre, C., Lavoie, F. & Gosselin, R. A hierarchical Multivariate Curve Resolution Methodology to Identify and Map Compounds in Spectral Images. Anal. Chem. 90, 13118-13125 (2028)
• Braidy, N. & Gosselin, R. Unmixing noisy co-registered spectrum images of multicomponent nanostructures. Sci. Rep. 9, (2019)

D. Validation of the technology

• Validation of the accuracy and robustness of the R-ELISA technology based on AOAC recommendations;
• Evaluation of cross reactivities against several food commodities.

Professor Samuel Godefroy

Here is a list of links to the various offers available:

MSc projects:

• Characterization of antibodies performance and development of an antibody mix for multiplex testing;
• Screening for cross-reactivity to a mixture of antibodies for allergens detection.

PHD projects:

• Biomarker parameters identification for food allergens detection;
• Optimization of Raman probe for allergens detection;
• Signals quantification of Raman probe for allergen detection.

PDF projects:

• Biomarker parameters identification for food allergens detection.

The Work will be carried out at the University of Sherbrooke's Institut interdisciplinaire d'innovation technologique (3IT), noably in the biophotonic laboratory. The project will be carried out in close collaboration with the University of Laval, University of Montreal and project partners and collaborators in international laboratories.

• Student experience at 3IT;
• Video - Student take a guided tour of 3IT.

• Horns to detect allergens;
• Institut interdisciplinaire d'innovation technologique (3IT).