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冷冻干燥南瓜-菊粉粉末的热特性、吸附等温线和状态图。

The Thermal Characteristics, Sorption Isotherms and State Diagrams of the Freeze-Dried Pumpkin-Inulin Powders.

机构信息

Department of Engineering and Machinery for Food Industry, Faculty of Food Technology, University of Agriculture, Balicka 122 Street, 30-149 Kraków, Poland.

出版信息

Molecules. 2022 Mar 29;27(7):2225. doi: 10.3390/molecules27072225.

Abstract

Powders based on plant raw materials have low storage stability due to their sorption and thermal properties and generate problems during processing. Therefore, there is a need to find carrier agents to improve their storage life as well as methods to evaluate their properties during storage. Water adsorption isotherms and thermal characteristics of the pumpkin powder with various inulin additions were investigated in order to develop state diagrams. Differential scanning calorimetry (DSC) was used to obtained glass transition lines, freezing curves and maximal-freeze-concentration conditions. The glass transition lines were developed using the Gordon-Taylor model. Freezing data were modeled employing the Clausius-Clapeyron equation and its development-Chen model. The glass transition temperature of anhydrous material (Tgs) and characteristic glass transition temperature of maximum-freeze-concentration (Tg') increased with growing inulin additions. Sorption isotherms of the powders were determined at 25 °C by the static-gravimetric method and the experimental data was modeled with four different mathematical models. The Peleg model was the most adequate to describe the sorption data of the pumpkin-inulin powders. Guggenheim-Anderson-de Boer (GAB) monolayer capacity decreased with increasing inulin concentration in the sample.

摘要

基于植物原料的粉末由于其吸附和热性能,其储存稳定性较低,并在加工过程中产生问题。因此,需要寻找载体剂来提高其储存寿命,以及在储存期间评估其性能的方法。为了开发状态图,研究了添加不同比例菊粉的南瓜粉的水分吸附等温线和热特性。采用差示扫描量热法(DSC)获得玻璃化转变线、冻结曲线和最大冻结浓度条件。使用 Gordon-Taylor 模型开发玻璃化转变线。采用 Clausius-Clapeyron 方程及其发展的 Chen 模型对冻结数据进行建模。随着菊粉添加量的增加,无水物质的玻璃化转变温度(Tgs)和最大冻结浓度的特征玻璃化转变温度(Tg')增加。通过静态重量法在 25°C 下测定粉末的吸附等温线,并采用四种不同的数学模型对实验数据进行拟合。Peleg 模型最适合描述南瓜-菊粉粉末的吸附数据。随着样品中菊粉浓度的增加,Guggenheim-Anderson-de Boer(GAB)单层容量减小。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/670d/9000671/118980695031/molecules-27-02225-g001.jpg

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