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首页> 外文期刊>Journal of food engineering >Exploring validity of the macro-micro region concept in the state diagram: Browning of raw and freeze-dried banana slices as a function of moisture content and storage temperature
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Exploring validity of the macro-micro region concept in the state diagram: Browning of raw and freeze-dried banana slices as a function of moisture content and storage temperature

机译:在状态图中探索宏观-微观区域概念的有效性:未加工和冷冻干燥的香蕉片的褐变与水分含量和储存温度的关系

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摘要

State diagram (i.e. 12 micro-regions) of ripe banana was mapped by measuring and modeling its freezing point, glass transition, maximal-freeze-concentration conditions, solids-melting, and BET-monolayer. At 20 degrees C, the BET-monolayer moisture was observed as 0.044 g/g dry-solids, and decreased with the increase of temperature. Un-freezable water was found as 0.26 g/g sample and the maximal-freeze concentration temperature (Tm') was observed as -34.5 degrees C. The freezing point and solids-melting peak were modeled by Chen's and Flory-Huggins models, respectively. Browning of banana stored at different moisture and temperature (i.e. at different micro-regions) were measured as a function of storage time and modeled with first order reaction kinetics. The variation of reaction rate constant was analyzed based on the glass transition, water activity and macro-micro region concepts. At a specific moisture content, reaction rate constant showed a shift (i.e. sample containing freezable water) or change in slope (i.e. sample containing un-freezable water), when plotted as a function of temperature. However, it was difficult to find any validity above or below glass transition (or BET-monolayer) when all data points (i.e. all moisture and temperature) were plotted (i.e. rate constant with moisture or temperature). Arrhenius plot at moisture content 0.04 g/g sample showed two linear regions (i.e. below and above critical temperature 45 degrees C) with activation energy values of 105.3 and 25.1 kJ/mol, respectively. Universal validation was difficult to achieve, thus the rate constants within different micro-regions were empirically correlated with moisture content, storage temperature, BET-monolayer and glass transition temperature (p < 0.001). (C) 2017 Elsevier Ltd. All rights reserved.
机译:通过测量和建模香蕉的凝固点,玻璃化转变,最大冻结浓度条件,固体融化和BET单层来绘制成熟香蕉的状态图(即12个微区域)。在20摄氏度时,观察到BET单层水分为0.044 g / g干固体,并且随着温度的升高而降低。发现不可冻结的水为0.26 g / g样品,并且观测到的最大冻结浓度温度(Tm')为-34.5摄氏度。分别通过Chen's和Flory-Huggins模型模拟了凝固点和固体熔化峰。 。测量在不同湿度和温度(即在不同的微区域)下贮存的香蕉的褐变,作为贮存时间的函数,并用一级反应动力学建模。基于玻璃化转变,水活度和宏观-微观区域概念,分析了反应速率常数的变化。当绘制为温度的函数时,在特定的水分含量下,反应速率常数显示出位移(即,包含可冻结水的样品)或斜率的变化(即,包含不可冻结的水的样品)。但是,当绘制所有数据点(即所有湿度和温度)(即随湿度或温度变化的速率常数)时,很难找到高于或低于玻璃化转变温度(或BET单层)的有效性。水分含量为0.04 g / g样品的Arrhenius图显示了两个线性区域(即低于和高于临界温度45摄氏度),活化能分别为105.3和25.1 kJ / mol。通用验证难以实现,因此,不同微观区域内的速率常数在经验上与水分含量,储存温度,BET单层和玻璃化转变温度相关(p <0.001)。 (C)2017 Elsevier Ltd.保留所有权利。

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