Our main research line focuses on the development and application of chemometric (data analysis) tools for the study of problems of environmental interest.
The first main area of our research is the development of chemometric approaches, and particularly of multivariate resolution methods, to analyze datasets coming from diverse analytical platforms challenges such as:
- MS with or without hyphenated chromatographic methods (GC-MS, LC-MS, …)
- Hyperspectral images obtained by vibrational or MS techniques
- Multidimensional spectroscopies (EEM)
- Multidimensional chromatographies (GCxGC-MS, LCxLC-MS,..)
- Other techniques: DNA microarrays, RNAseq, …
The second area of research interest consists of the application of these data analysis methods to evaluate the effects of chemical pollutants and global change stressors, on the genomic and metabolomic profiles of a selected set of representative target biological systems (i.e. Danio rerio, Daphnia magna, cell cultures, yeast, plants,…). Biological knowledge derived from the studiescan be extended to other organisms, and allow environmental risk assessment.
Finally, a third area of research interest is the analysis of environmental data sets usually organized in big data multisets or tables from environmental monitoring studies on air, surface waters, sediments and soils, with the final goal to retrieve information regarding the identification, resolution, and apportionment of pollution sources and their environmental impact
Details on these three research lines can be found in sections «Chemometrics», «Omics» and «Environmental Chemistry».
Graphically, this can be summarized as:
Adapted from Checa, A., Bedia, C., Jaumot, J. (2015) Analytica Chimica Acta, 885, pp. 1-16.