Urszula Tylewicz, Pietro Rocculi, Valentina Panarese, Patricio R. Santagapita, Marco Dalla Rosa, Santagapita, Patricio R., Tylewicz, Urszula, Panarese, Valentina, Rocculi, Pietro, and DALLA ROSA, Marco
Non-destructive rapid method based on FT-NIR spectroscopy is assessed to predict the processing response of raw materials at different ripening stages. During osmotic dehydration (61.5% sucrose solution, 5 h) ripe and unripe kiwifruits were analysed with FT-NIR spectroscopy and the most representative physico-chemical parameters to osmotic dehydration (dry matter, soluble solids content, water self-diffusion coefficient and firmness) were assessed by destructive measurements. Predictive models were successfully built by means of partial least square regression (PLSR) analysis (R2 > 0.772, test set validations) for all the four parameters destructively measured. The application of vector normalisation pre-processing was critical to eliminate spectral information that did not relate to the OD process. FT-NIR spectroscopy can successfully predict the evolution of kiwifruit physico-chemical parameters during osmotic dehydration. Thus it can be used as a tool to tune online the process parameters (e.g. time and temperature) to obtain a standardised final product starting from non-homogeneous raw materials. Fil: Santagapita, Patricio Roman. Università di Bologna; Italia. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Industrias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Tylewicz, Urszula. Università di Bologna; Italia Fil: Panarese, Valentina. Università di Bologna; Italia Fil: Rocculi, Pietro. Università di Bologna; Italia Fil: Dalla Rosa, Marco. Università di Bologna; Italia