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乳清蛋白浓缩物热诱导流变学变化和聚集的预测响应面模型

Predictive response surface model for heat-induced rheological changes and aggregation of whey protein concentrate.

作者信息

Alvarez Pedro A, Emond Charles, Gomaa Ahmed, Remondetto Gabriel E, Subirade Muriel

机构信息

W.K. Kellogg Inst, 2 Hamblin Ave. E, Battle Creek, MI, 49017, U.S.A.

出版信息

J Food Sci. 2015 Feb;80(2):E326-33. doi: 10.1111/1750-3841.12747. Epub 2015 Jan 5.

Abstract

Whey proteins are now far more than a by-product of cheese processing. In the last 2 decades, food manufacturers have developed them as ingredients, with the dairy industry remaining as a major user. For many applications, whey proteins are modified (denatured) to alter their structure and functional properties. The objective of this research was to study the influence of 85 to 100 °C, with protein concentration of 8% to 12%, and treatment times of 5 to 30 min, while measuring rheological properties (storage modulus, loss modulus, and complex viscosity) and aggregation (intermolecular beta-sheet formation) in dispersions of whey protein concentrate (WPC). A Box-Behnken Response Surface Methodology modeled the heat denaturation of liquid sweet WPC at 3 variables and 3 levels. The model revealed a very significant fit for viscoelastic properties, and a lesser fit for protein aggregation, at temperatures not previously studied. An exponential increase of rheological parameters was governed by protein concentration and temperature, while a modest linear relationship of aggregation was governed by temperature. Models such as these can serve as valuable guides to the ingredient and dairy industries to develop target products, as whey is a major ingredient in many functional foods.

摘要

乳清蛋白如今已远不止是奶酪加工的副产品。在过去20年里,食品制造商已将其开发为一种原料,乳制品行业仍是其主要用户。在许多应用中,乳清蛋白会经过改性(变性)以改变其结构和功能特性。本研究的目的是研究在85至100°C、蛋白质浓度为8%至12%以及处理时间为5至30分钟的条件下,同时测量乳清蛋白浓缩物(WPC)分散体的流变学特性(储能模量、损耗模量和复数粘度)以及聚集情况(分子间β-折叠的形成)。一种Box-Behnken响应面方法对液态甜WPC在3个变量和3个水平下的热变性进行了建模。该模型显示,在之前未研究过的温度下,对于粘弹性特性有非常显著的拟合,而对于蛋白质聚集的拟合程度较低。流变学参数呈指数增长受蛋白质浓度和温度控制,而聚集的适度线性关系受温度控制。像这样的模型可以为原料和乳制品行业开发目标产品提供有价值的指导,因为乳清是许多功能性食品中的主要成分。

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