The Centre of Metabolomics and Bioanalysis (CEMBIO) at the Pharmacy Faculty (San Pablo CEU) is supervised by Prof. Coral Barbas. CEMBIO is devoted to innovative, top level search work in the metabolomics field, which requires extensive knowledge in chromatography, mass spectrometry (MS), and biostatistics.

Metabolomics is a new approach to study a biological situation without a preliminary hypothesis. Ideally, it is the study of the unique chemical fingerprints that specific cellular processes leave behind, specifically of their small –molecule metabolite profiles. In practice, we work by differential analysis of sample profiles (metabolic fingerprinting). In summary, analytical techniques are employed to develop as many signals as possible from a sample (urine, plasma, cel cultures, tissue extracts…) as intact as possible. Profiles of the samples from the situation under the study and the corresponding controls are compared by applying multivariate data analysis and those signals significatively different in both groups are identified as candidate markers.

These signals are later submitted to structural elucidation to have tentative markers that should that should be validated. This approach has experience and explosion in interest from a variety of disciplines ranging from basics biology through to all kind of clinical applications and even food sciences. Researchers are now utilizing the power of metabonomics to examine underlying biology and mechanism of disease, for drug development¸ toxicity studies, for the identification of disease diagnostic and prognostic markers and even for assessing the effects of environmental changes.

CEMBIO has capacity for tackling aspects such as experimental designs, analytical methods, appropriate statistical methods for metabonomics and biochemical interpretation.

Analytic Possibilities:

–          Structural elucidation of organic, inorganic and biological compounds.

–         Polymer analysis.

–          Identification and Determination of Impurities in Drugs.

Analysis of complex samples