Biomedical and Metabolomic Analysis

Icon Innovation in Instrumentation and Analytical Strategies

New approaches in LC-MS for metabolomics
  • Development of extended coverage single-run analyses
  • Innovative LC-MS conditions for metabolomics and lipidomics
  • Handling and analysis of volume-restricted samples
  • High-throughput quantitative metabolomics
Capillary electrophoresis for metabolomics and quality control
  • CE-MS: development and evaluation of new interfaces
  • Tools and libraries to use of effective electrophoretic mobility in compound identification
  • Development and deployment of low-cost/open source CE instrumentation for falsified medicines
Miniaturized sample preparation and analysis
  • Micro-format LC-MS setup for volume-restricted samples
  • Solid phase micro-extractions: online SPE and μSPE
  • Handling of atypical biological fluids: cerebrospinal fluid, cell cultures, seminal fluid, etc.

Icon Metabolomics, Toxicology and Biomedical Analyses

Multi-platform metabolomics
  • Targeted and untargeted metabolomics in CE- and LC-MS(/MS)
  • Libraries and databases of standard compounds
  • Multi-platform data merging methodologies
  • Peak recognition methodologies and data annotation
  • Retention time modelling
In vitro and in vivo toxicity studies
  • Application of omics techniques in toxicity risk assessment
  • Study design, metabolomic analyses and biological interpretation
Extended steroid profile
  • Serum, plasma, urine, seminal fluid analysis (>200 endogenous steroids)
  • Seminal fluid quality for male infertility
  • Endocrine disruption (H295R OECD model)
  • Steroidogenesis alteration
  • Deep steroid recognition and annotation
Metabolic effects of human exposure to solvents and plasticisers
  • Steroidome alterations
  • Alterations of polar metabolome
  • Cellular models (2D and 3D)
  • Polar compound analysis

Icon Data Analysis and Interpretation

Multivariate analysis
  • Dimensionality reduction
  • Knowledge extraction
  • Machine learning
Clustering / Regression / Discriminant analysis / Classification / Advanced methods
  • Multiblock analysis
  • Multiway analysis
  • Megavariate analysis of variance
Experimental design
  • Factor screening
  • Response surface for process optimization
Validation of analytical methods
  • Accuracy and uncertainty profiles

Linkedin - Serge Rudaz