The metabolomics workflow

Tell us more: The biological question
i.e., is there a difference between healthy and diseased environments? What Arte the metabolic differences

Start building your quote: Experimental design
1. Types of subjects to be investigated
2. Number if subjects per group
3. Sample type (fluid or tissue)
4. Reproducible sample collection protocols
5. Sample preparation -> most critical step: Solid phase micro extraction (SPME) sample preparation tool for targeted or untargeted metabolomics workflows

Start building your quote: Data acquisition
High performance liquid chromatography coupled to high resolution mass spectrometry (HPLC-HRMS)

Data pre-processing
Generating the final and useable data matrix.
i.e., data conversion, peak deconvolution, baseline correction, filtering, and retention time and m/z alignment, binning, etc.

Statistical analysis
Data pre-treatment
Unvariate versus multivariate approaches
Unsupervised versus supervised models
Paired versus group analysis

Metabolite identification
Tentative and putative identification with database matching and annotation
Validation via mS/MS and/or large cohort studies