Optimization of pulsed vacuum osmotic dehydration of the cape gooseberry (Physalis peruviana L.) using the response surface methodology

The objective of this study was to optimize mass transfer during pulsed vacuum osmotic dehydration (PVOD) of cape gooseberries (Physalis peruviana L.) by means of the surface response methodology. The effects of the factors temperature (25-45ºC), solids (50-70ºBrix), rotation speed (60-100 rpm), pre...

Full description

Autores:
Zapata M., José Edgar
Ciro G., Gelmy Luz
Marulanda L., Paulina
Tipo de recurso:
Article of journal
Fecha de publicación:
2016
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/58555
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/58555
http://bdigital.unal.edu.co/55338/
Palabra clave:
57 Ciencias de la vida; Biología / Life sciences; biology
58 Plantas / Plants
kinetic parameters
mass transfer
osmotic pressure
pulsed vacuum
Fick’s law
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:The objective of this study was to optimize mass transfer during pulsed vacuum osmotic dehydration (PVOD) of cape gooseberries (Physalis peruviana L.) by means of the surface response methodology. The effects of the factors temperature (25-45ºC), solids (50-70ºBrix), rotation speed (60-100 rpm), pressure (50-100 mbar) and number of vacuum pulses (1-3) on osmotic dehydration, weight reduction percentage (WR), water loss percentage (WL), and solid gain percentage (SG%) were assessed. Sucrose syrup at a 5/1 syrup/fruit ratio was used for 2 h. The results provided 45ºC, 70ºBrix, 99.99 rpm, 98.92 mbar and 2.87 pulse vacuum, for a WR of 47.52%, WL of 21.12%, and SG of 118.40% as the optimal conditions. Mathematic models were adjusted to the optimal conditions to describe the PVOD kinetics of cape gooseberries. Azuara’s penetration empiric model, a phenomenological model from the solution of Fick’s second law, and Peleg’s empiric model were used. The latter adjusted better to the experiment data.