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 include:

  • 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



  • Specrometer FT-NIR Bruker MPA
  • NIR Hyperspectral Scanner (900-1700 nm)
  • Acquisition systems for RGB images
  • Softwares for the developemt and application of multivariate analysis (Matlab, PLS Toolbox, Modde, Minitab)