- Chemometrics: Pattern recognition applied to typification of food products, fraud detection, multivariate modelling (false non-conformity and false conformity risks assessment). Handling of large data tables (Big Data Analytics)
- Methodology of experimental design: screening designs, experimental optimization designs, custom designs, and designs for mixtures. Trade-off solutions when several factors and responses in conflict should be handled. Application to PAT (Process Analytical Technology) and QbD (Quality by Design).
- Construction of multivariate/multiway predictive models (regression techniques based on PARAFAC and PLS). Natural computation (neural networks, genetic algorithms).
- Development of methodology for analysis of contaminants and veterinary residues in regulated fields: unequivocal identification and quantification of pesticides and veterinary residues in food as well as migrants from materials intended to be in contact with food. Chromatography with different detectors (GC-MS, HPLC-fluorescence, LC-MS-MS), excitation-emission molecular fluorescence spectroscopy, UV-visible, infrared spectroscopy (NIR, MIR).
Última actualización: 10 de Junio de 2016