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使用赫谢尔-巴克利稠度指数表征复杂生物聚合物体系——筛分的影响。

Using the Herschel-Bulkley Consistency Index to Characterise Complex Biopolymer Systems-The Effect of Screening.

作者信息

Raja Anand, Wilfert Philipp K, Picken Stephen J

机构信息

Advanced Soft Matter, Department of Chemical Engineering, Faculty of Applied Sciences, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, The Netherlands.

Environmental Biotechnology, Department of Biotechnology, Faculty of Applied Sciences, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, The Netherlands.

出版信息

Polymers (Basel). 2024 Oct 6;16(19):2822. doi: 10.3390/polym16192822.

Abstract

The use of the consistency index, as determined from fitting rheological data to the Herschel-Bulkley model, is described such that it may yield systematic trends that allow a very convenient description of the dissipative flow properties of linear and branched (bio)polymers in general, both in molecular and weakly associated supramolecular solutions. The effects of charge-mediated interactions by the systematic variation of the ionic strength and hydrogen bonding by a systematic variation in pH, using levels that are frequently encountered in systems used in practice, is investigated. These effects are then captured using the associated changes in the intrinsic viscosity to highlight the above-mentioned trends, while it also acts as an internal standard to describe the data in a concise form. The trends are successfully captured up to 100 times the polymer coil overlap and 100,000 times the solvent viscosity (or consistency index). These results therefore enable the rapid characterization of biopolymer systems of which the morphology remains unknown and may continue to remain unknown due to the wide-ranging monomer diversity and a lack of regularity in the structure, while the macromolecular coil size may be determined readily.

摘要

文中描述了通过将流变学数据拟合到赫谢尔 - 布克利模型来确定一致性指数的方法,该指数可能产生系统趋势,从而能够非常方便地描述线性和支化(生物)聚合物在分子溶液和弱缔合超分子溶液中的耗散流动特性。通过系统改变离子强度来研究电荷介导相互作用的影响,并通过系统改变pH值来研究氢键作用的影响,所使用的pH值和离子强度水平是实际应用系统中常见的。然后利用特性粘度的相关变化来捕捉这些影响,以突出上述趋势,同时特性粘度还作为一种内标以简洁的形式描述数据。这些趋势在聚合物线团重叠倍数达100倍以及溶剂粘度(或一致性指数)达100000倍的情况下都能成功捕捉。因此,这些结果能够快速表征生物聚合物系统,这些系统的形态仍然未知,并且由于单体种类繁多且结构缺乏规律性,可能会一直保持未知状态,而大分子线团尺寸则可以很容易地确定。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ae4/11478448/028feb3de5a2/polymers-16-02822-g001.jpg

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