Quality changes kinetics of apple tissue during frozen storage with temperature fluctuations

被引:33
作者
Vicent, V. [1 ,2 ]
Ndoye, F. T. [1 ]
Verboven, R. [2 ]
Nicolai, B. M. [2 ]
Alyarez, G. [1 ]
机构
[1] IRSTEA, Refrigerat Proc Engn Res Unit, 1 Rue Pierre Gilles de Gennes, F-92761 Antony, France
[2] Katholieke Univ Leuven, BIOSYST MeBioS, Willem de Croylaan 42, B-3001 Leuven, Belgium
来源
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID | 2018年 / 92卷
关键词
Freezing; Cold chain storage; Temperature oscillation; Quality loss; Modeling; RAY MICRO-CT; WEIGHT-LOSS; FROST FORMATION; VITAMIN-C; ICE-CREAM; PREDICTION; SURFACE; MICROSTRUCTURE; VEGETABLES; PRODUCTS;
D O I
10.1016/j.ijrefrig.2018.05.023
中图分类号
O414.1 [热力学];
学科分类号
摘要
Apple quality after freezing is affected by temperature fluctuations during cold storage. Ice recrystallization and sublimation occur slowly at a constant temperature over a long period of storage, and more rapidly during fluctuating temperatures. These phenomena impact fruit quality, thus reducing storage life. To this end, apple tissue samples were frozen and subsequently stored in three different freezers set at -12 +/- 3 degrees C, -18 +/- 3 degrees C, and -23 +/- 3 degrees C. In each freezer, three different compartments were created to achieve different amplitudes of temperature fluctuations: (i) low (+/- 0.1 degrees C), (ii) medium (+/- 0.5 degrees C) and (iii) large (+/- 1.8 degrees C). Frost formation, drip loss, color changes and vitamin C (ascorbic acid) content were measured during five months of storage. The results revealed that apple quality was strongly affected by the temperature fluctuations during frozen storage. The kinetic models were calibrated using apple quality data collected at low and large amplitudes of fluctuations. The temperature dependency was successfully incorporated using an Arrhenius equation that integrates the temperature fluctuations. The kinetic models were validated using apple quality data gathered at a medium amplitude of fluctuation. In addition to a kinetic model, a physical model was applied to predict frost formation. (C) 2018 Published by Elsevier Ltd.
引用
收藏
页码:165 / 175
页数:11
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