The research activities of CHIMSLAB group are focused on the development of fast and non-destuctive analytical methods for the characterization of complex matrices, mainly in the field of food and agricultural sciences. In particular, the expertise of the laboratory includes:
- implementation and application of chemometric algorithms for the fast characterization of chemical and visual properties of food and raw materials
- product and process optimization by Design of Experiments
- food characterization by NIR spectroscopy
- digital image processing for colour quantification and for defect detection in food and raw materials
- chemical mapping and early defect detection by hyperspectral imaging
INSTRUMENTATION
- FT-NIR Specrometer Bruker MPA (800 – 2600 nm)
- NIR Hyperspectral Scanner (900 – 1700 nm)
- Viavi MicroNIR OnSite-W (950 – 1650 nm)
- Acquisition systems for RGB images
- Software for the development and application of multivariate analysis algorithms (Matlab, PLS Toolbox, Modde, Minitab)