Brigitte Desharnais

Michel Bertrand MMSDG Award
Ph.D. in Chemistry, Skinner Group
Concordia University

Bringing (easy-to-use) statistical tools to bioanalytical mass spectrometry practice

Abstract

A tryptic of projects will show how bioanalytical mass spectrometry practice can be improved by automated mathematical and statistical tools adapted to the reality of laboratories. First, a simple, analyst-independent, and systematic procedure to choose and validate a calibration model (order, weighting) based on statistical analysis was developed. Second, a methodology allowing to deal with endogenous concentration(s) of analytes (e.g., beta hydroxybutyric acid) in matrices used to prepare calibration standards and quality control samples was set up. Finally, validation and production guidelines for qualitative decision point methods adapted to the binary nature of the results were developed and tested.

Biosketch

Brigitte Desharnais in presently completing her doctoral studies in Chemistry with Pr. Cameron Skinner at Concordia University. As part of her thesis studies she developed a method to evaluate the post-mortem metabolic capability using a proteomic approach where she quantified and characterized cytochrome 450 in liver tissues. She also developed statistical tools enabling the selection and validation of calibration models for the determination of compound concentrations. She is the author and co-author of 13 peer-reviewed publications. She received numerous awards and prizes including the Best Bulletin Paper Award, from the International Association of Forensic Toxicologists (2019), the Etudiante Chercheuse Etoile (2017) from FRQNT, Garnet Strong Scholarship (2015) and the Vanier Canada Graduate Scholarship (2012).

Date
Date(s) - November 12, 2019
6:00 pm - 9:00 pm

Emplacement / Location
Université de Montréal - Pavillon Jean Coutu (S1-151)