Biomedical and metabolomics analysis
INNOVATION IN INSTRUMENTATION AND ANALYTICAL STRATEGIES
New approaches in LC-MS for metabolomics
Capillary electrophoresis for metabolomics and quality control
Miniaturized sample preparation and analysis
- 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.
METABOLOMICS, TOXICOLOGY AND BIOMEDICAL ANALYSES
Multi-platform metabolomics
In vitro and in vivo toxicity studies
Extended steroid profile
Metabolic effects of human exposure to solvents and plasticisers
Neurotoxicity
- 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
Neurotoxicity
- Cellular models (2D and 3D)
- Polar compound analysis
DATA ANALYSIS AND INTERPRETATION
Multivariate analysis
Clustering / Regression / Discriminant analysis / Classification / Advanced methods
Experimental design
Validation of analytical methods
- 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
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