Investigation and prediction of the extensional viscosity of okra mucilage using the Giesekus model.

IF 1 4区 医学 Q4 BIOPHYSICS
Biorheology Pub Date : 2023-01-01 DOI:10.3233/BIR-220006
Nguyen Ngoc Minh
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引用次数: 0

Abstract

Background: Okra is a vegetable that is widely grown around the world. Okra mucilage contains a high mucus concentration that can be useful for supporting the swallowing process. Although the extensional rheology of okra mucilage is essential to its flow, its extensional viscosity has not received much attention.

Objective: Using a filament stretching rheometer, the extensional viscosity of the mucilage in okra was examined. The Giesekus model was used to predict this parameter.

Methods: The okra mucilage with different concentrations was extracted from fresh okra. The extensional viscosity was measured using a filament breakup apparatus. The diameter of the liquid bridge was measured by a laser micrometer and it was also observed by a high-speed camera. A rotational rheometer was used to measure the shear viscosity. In addition, the master curves for the shear viscosity were plotted to eliminate the influence of solvent and shear rate and evaluate the influence of concentration on the elasticity of okra mucilage. The okra mucilage shear and extensional viscosity were predicted using the Giesekus model.

Results: Every sample of okra mucilage exhibited shear thinning behavior. In addition to having a high extensional viscosity that is hundreds of times higher than its shear viscosity, okra mucilage also exhibited stretching phenomena. The master curves demonstrated that the pseudoplasticity of the okra mucilage increased along with the concentration. The rheological behavior of the mucilage in okra can be explained by the Giesekus model.

Conclusions: Okra mucilage's shear viscosity exhibited shear thinning behavior and a strong extensional viscosity that was significantly higher than its shear viscosity. The shear and extensional viscosity of okra mucilage can be described and predicted using the Giesekus model.

用Giesekus模型研究和预测秋葵黏液的拉伸粘度。
背景:秋葵是一种在世界各地广泛种植的蔬菜。秋葵粘液含有高黏液浓度,有助于支持吞咽过程。秋葵黏液的拉伸流变性是其流动的关键,但其拉伸粘度一直没有引起人们的重视。目的:用纤维拉伸流变仪测定秋葵黏液的拉伸粘度。采用Giesekus模型对该参数进行预测。方法:从新鲜秋葵中提取不同浓度的秋葵粘液。拉伸粘度的测定采用细丝破碎仪。用激光测微仪测量了液桥的直径,并用高速摄像机观察了液桥的直径。用旋转流变仪测量剪切粘度。此外,绘制了剪切粘度的主曲线,以消除溶剂和剪切速率的影响,并评价了浓度对秋葵胶浆弹性的影响。利用Giesekus模型预测了秋葵黏液的剪切黏度和拉伸黏度。结果:秋葵黏液样品均表现出剪切变薄行为。秋葵黏液除了具有比剪切黏度高几百倍的高拉伸黏度外,还表现出拉伸现象。主曲线表明,秋葵黏液的假塑性随浓度的增加而增加。秋葵黏液的流变行为可以用Giesekus模型来解释。结论:秋葵黏液的剪切黏度表现出剪切变稀的特性,且具有明显高于剪切黏度的强拉伸黏度。秋葵黏液的剪切粘度和拉伸粘度可以用Giesekus模型来描述和预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biorheology
Biorheology 医学-工程:生物医学
CiteScore
2.00
自引率
0.00%
发文量
5
审稿时长
>12 weeks
期刊介绍: Biorheology is an international interdisciplinary journal that publishes research on the deformation and flow properties of biological systems or materials. It is the aim of the editors and publishers of Biorheology to bring together contributions from those working in various fields of biorheological research from all over the world. A diverse editorial board with broad international representation provides guidance and expertise in wide-ranging applications of rheological methods to biological systems and materials. The scope of papers solicited by Biorheology extends to systems at different levels of organization that have never been studied before, or, if studied previously, have either never been analyzed in terms of their rheological properties or have not been studied from the point of view of the rheological matching between their structural and functional properties. This biorheological approach applies in particular to molecular studies where changes of physical properties and conformation are investigated without reference to how the process actually takes place, how the forces generated are matched to the properties of the structures and environment concerned, proper time scales, or what structures or strength of structures are required.
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