乳糖水解和未水解脱脂奶浓缩物及冲调粉末样品的流变特性

IF 5.3 2区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Food and Bioprocess Technology Pub Date : 2024-04-02 DOI:10.1007/s11947-024-03386-0
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引用次数: 0

摘要

摘要 乳糖水解脱脂奶粉有可能成为零食和冷冻食品的主要增值配料,因为 70% 的人口患有乳糖不耐症。然而,我们需要了解乳糖水解脱脂奶浓缩物及其产品的流动特性。本研究旨在比较两种流变建模方法,并确定哪种方法最适合预测乳糖水解脱脂奶浓缩物和未水解脱脂奶浓缩物以及重组粉样品的流变行为。比较的两种方法是温度-浓度多元线性回归模型和剪切速率-温度-浓度叠加原理主曲线模型。在将数据拟合到这两个模型之前,先通过阿伦尼乌斯关系确定温度的影响,再通过指数关系确定浓度的影响。温度-浓度组合法为每种精矿类型建立了一个单一的对数模型,在任何温度和浓度输入条件下都能得到稠度系数。主曲线法为每种精矿类型建立了一个单一的幂律模型,用于描述样品的整体流变行为。将每种方法预测的稠度系数与原始数据进行比较时,主曲线法(r = 0.973,P < 0.0001)和组合法(r = 0.940,P < 0.0001)与原始数据都显示出很强的相关性。当按浓缩物类型对结果进行检验时,与综合模型相比,主曲线模型对重组样品的拟合度更高(P <0.01),而综合模型与原始数据的相关性没有统计学意义(P <0.075)。这项研究的结果表明,在我们的测试范围内,主曲线法在预测不同方法制备的浓缩牛奶样品的流变行为方面更具优势。
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Rheological Behaviors of Lactose Hydrolyzed and Unhydrolyzed Skim Milk Concentrates and Reconstituted Powder Samples

Abstract

Lactose hydrolyzed skim milk powder has the potential to become a staple value-added ingredient in snack and frozen foods because 70% of the population suffers from lactose intolerance. However, the flow behavior of lactose hydrolyzed skim milk concentrates and their resulting products need to be understood. The aim of this study was to compare two rheological modeling methods and determine which method is best for predicting rheological behavior in lactose hydrolyzed and unhydrolyzed skim milk concentrates and reconstituted powder samples. The two methods compared are the combined temperature-concentration multiple-linear regression model and the shear rate-temperature-concentration superposition principle master curve model. Prior to fitting the data to the two models, the effect of temperature was determined via the Arrhenius relationship and the effect of concentration was determined via the Exponential relationship. The combined temperature-concentration method resulted in a single logarithmic model for each concentrate type which yields the consistency coefficient at any temperature and concentration input. The master curve method resulted in a single Power law type model for each concentrate type that describes the overall rheological behavior of the samples. When the predicted consistency coefficients from each method were compared to the raw data, both the master curve (r = 0.973, P < 0.0001) and the combined (r = 0.940, P < 0.0001) methods showed a strong correlation to the raw data. When the results were examined by concentrate type, the master curve model had a stronger fit (P < 0.01) for the reconstituted samples compared to the combined model which did not show a statistically significant correlation to the raw data (P < 0.075). The results of this study indicate that the master curve method is superior for predicting the rheological behavior of concentrated milk samples prepared from varying methods within our tested ranges.

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来源期刊
Food and Bioprocess Technology
Food and Bioprocess Technology 农林科学-食品科技
CiteScore
9.50
自引率
19.60%
发文量
200
审稿时长
2.8 months
期刊介绍: Food and Bioprocess Technology provides an effective and timely platform for cutting-edge high quality original papers in the engineering and science of all types of food processing technologies, from the original food supply source to the consumer’s dinner table. It aims to be a leading international journal for the multidisciplinary agri-food research community. The journal focuses especially on experimental or theoretical research findings that have the potential for helping the agri-food industry to improve process efficiency, enhance product quality and, extend shelf-life of fresh and processed agri-food products. The editors present critical reviews on new perspectives to established processes, innovative and emerging technologies, and trends and future research in food and bioproducts processing. The journal also publishes short communications for rapidly disseminating preliminary results, letters to the Editor on recent developments and controversy, and book reviews.
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