Issue |
E3S Web Conf.
Volume 112, 2019
8th International Conference on Thermal Equipment, Renewable Energy and Rural Development (TE-RE-RD 2019)
|
|
---|---|---|
Article Number | 03033 | |
Number of page(s) | 10 | |
Section | Rural Development | |
DOI | https://doi.org/10.1051/e3sconf/201911203033 | |
Published online | 20 August 2019 |
Researches on the freezing of blueberries and green bean pods using an experimental model of a fast freezing equipment
1
INMA Bucharest, Romania
2
ICDIMPH-Horting Bucharest, Romania
3
ASAS, Romania
4
ICDPP Bucharest, Romania
5
USAMV Bucharest, Romania
6
INCDTP Bucharest, Romania
7
INCDPM Bucharest, Romania
* Cristian Sorica: cri_sor2002@yahoo.com
In order to conserve perishable food and extend the permissible storage and marketing period, one of the best methods that uses artificial frost is freezing. The action of low temperatures leads to a slowing down of the modifying processes, both nutritionally and organoleptically. The researches presented within the paper aims to determine some specific parameters for the freezing process using an experimental model of a fast freezing equipment with liquid nitrogen. Experimental researches use two species of horticultural products, namely blueberries and green bean pods. The results indicate that the values of total freezing time, average linear freezing rate and liquid nitrogen consumption for quick freezing of blueberries were higher than those recorded for green bean pods. Also, with the lowering of the set temperature inside the freezing chamber, the freezing time from 0°C to the temperature of -15°C decreases, resulting in lower freezing times, higher average linear freezing rates and liquid nitrogen consumptions with increasing tendency.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.