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使用 TNM 方程对淀粉的物理老化进行建模。

Modelling of physical ageing in starch using the TNM equation.

机构信息

University of Nottingham, Division of Food Science, Sutton Bonington LE12 5RD, United Kingdom.

出版信息

Carbohydr Res. 2011 Jul 1;346(9):1122-8. doi: 10.1016/j.carres.2011.04.009. Epub 2011 Apr 13.

Abstract

Gelatinised wheat starch, freeze dried and equilibrated at different RH, was aged at different temperatures and for different times. The Tool-Narayanaswamy-Moynihan (TNM) model was used to describe the ageing for all samples under all conditions. Three TNM parameters: x, Δh* and A were determined experimentally using, respectively, the peak shift method (x) and the dependency of T'(f) (the limiting value of T(f)) on the cooling rate (Δh* and A). The non-linearity parameter x and the non exponential parameter β were also estimated by optimising a fit of the experimental normalised specific heat at different ageing times and temperatures to curves generated using the TNM model. The TNM model successfully described the normalised experimental data. It was found that the intermolecular forces were strong and the relaxation times depended more strongly on the glass structure than the glass temperature. The hydration level of the starch had a direct impact of the breadth of the relaxation time distribution. A dependency of the non-linearity parameter x on ageing temperature (peak shift method) was observed. This suggests that physical ageing is more complex than is described by TNM formalism.

摘要

糊化小麦淀粉,经冷冻干燥并在不同 RH 下达到平衡,然后在不同温度和不同时间下进行老化。使用 Tool-Narayanaswamy-Moynihan(TNM)模型来描述所有样品在所有条件下的老化情况。通过分别使用峰移法(x)和 T'(f)(T(f)的极限值)对冷却速率的依赖性(Δh* 和 A)来实验确定三个 TNM 参数:x、Δh*和 A。通过优化不同老化时间和温度下实验归一化比热与使用 TNM 模型生成的曲线的拟合,还估计了非线性参数 x 和非指数参数 β。TNM 模型成功地描述了实验归一化数据。结果发现,分子间力很强,弛豫时间对玻璃结构的依赖性强于玻璃温度。淀粉的水合水平直接影响弛豫时间分布的宽度。观察到非线性参数 x 对老化温度(峰移法)的依赖性。这表明物理老化比 TNM 形式描述的更为复杂。

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