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.

Non-destructive assessment of kiwifruit physico-chemical parameters to optimise the osmotic dehydration process: A study on FT-NIR spectroscopy / Santagapita, Patricio R.; Tylewicz, Urszula; Panarese, Valentina; Rocculi, Pietro; DALLA ROSA, Marco. - In: BIOSYSTEMS ENGINEERING. - ISSN 1537-5110. - STAMPA. - 142:(2016), pp. 101-109. [10.1016/j.biosystemseng.2015.12.011]

Non-destructive assessment of kiwifruit physico-chemical parameters to optimise the osmotic dehydration process: A study on FT-NIR spectroscopy

TYLEWICZ, URSZULA;PANARESE, VALENTINA;ROCCULI, PIETRO;DALLA ROSA, MARCO
2016

Abstract

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.
2016
Non-destructive assessment of kiwifruit physico-chemical parameters to optimise the osmotic dehydration process: A study on FT-NIR spectroscopy / Santagapita, Patricio R.; Tylewicz, Urszula; Panarese, Valentina; Rocculi, Pietro; DALLA ROSA, Marco. - In: BIOSYSTEMS ENGINEERING. - ISSN 1537-5110. - STAMPA. - 142:(2016), pp. 101-109. [10.1016/j.biosystemseng.2015.12.011]
Santagapita, Patricio R.; Tylewicz, Urszula; Panarese, Valentina; Rocculi, Pietro; DALLA ROSA, Marco
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/568422
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