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Green Pea and Garlic Puree Model Food Development for Thermal Pasteurization Process Quality Evaluation.

Authors :
Bornhorst ER
Tang J
Sablani SS
Barbosa-Cánovas GV
Liu F
Source :
Journal of food science [J Food Sci] 2017 Jul; Vol. 82 (7), pp. 1631-1639. Date of Electronic Publication: 2017 Jun 14.
Publication Year :
2017

Abstract

Development and selection of model foods is a critical part of microwave thermal process development, simulation validation, and optimization. Previously developed model foods for pasteurization process evaluation utilized Maillard reaction products as the time-temperature integrators, which resulted in similar temperature sensitivity among the models. The aim of this research was to develop additional model foods based on different time-temperature integrators, determine their dielectric properties and color change kinetics, and validate the optimal model food in hot water and microwave-assisted pasteurization processes. Color, quantified using a <superscript>*</superscript> value, was selected as the time-temperature indicator for green pea and garlic puree model foods. Results showed 915 MHz microwaves had a greater penetration depth into the green pea model food than the garlic. a <superscript>*</superscript> value reaction rates for the green pea model were approximately 4 times slower than in the garlic model food; slower reaction rates were preferred for the application of model food in this study, that is quality evaluation for a target process of 90 °C for 10 min at the cold spot. Pasteurization validation used the green pea model food and results showed that there were quantifiable differences between the color of the unheated control, hot water pasteurization, and microwave-assisted thermal pasteurization system. Both model foods developed in this research could be utilized for quality assessment and optimization of various thermal pasteurization processes.<br /> (© 2017 Institute of Food Technologists®.)

Details

Language :
English
ISSN :
1750-3841
Volume :
82
Issue :
7
Database :
MEDLINE
Journal :
Journal of food science
Publication Type :
Academic Journal
Accession number :
28613443
Full Text :
https://doi.org/10.1111/1750-3841.13739