Incentives of using the hydrodynamic invariant and sedimentation parameter for the study of naturally- and synthetically-based macromolecules in solution

Grube, Mandy; Cinar, Gizem; Schubert, Ulrich S. GND; Nischang, Ivo GND

The interrelation of experimental rotational and translational hydrodynamic friction data as a basis for the study of macromolecules in solution represents a useful attempt for the verification of hydrodynamic information. Such interrelation originates from the basic development of colloid and macromolecular science and has proven to be a powerful tool for the study of naturally- and synthetically-based, i.e., artificial, macromolecules. In this tutorial review, we introduce this very basic concept with a brief historical background, the governing physical principles, and guidelines for anyone making use of it. This is because very often data to determine such an interrelation are available and it only takes a set of simple equations for it to be established. We exemplify this with data collected over recent years, focused primarily on water-based macromolecular systems and with relevance for pharmaceutical applications. We conclude with future incentives and opportunities for verifying an advanced design and tailored properties of natural/synthetic macromolecular materials in a dispersed or dissolved manner, i.e., in solution. Particular importance for the here outlined concept emanates from the situation that the classical scaling relationships of Kuhn–Mark–Houwink–Sakurada, most frequently applied in macromolecular science, are fulfilled, once the hydrodynamic invariant and/or sedimentation parameter are established. However, the hydrodynamic invariant and sedimentation parameter concept do not require a series of molar masses for their establishment and can help in the verification of a sound estimation of molar mass values of macromolecules.

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Grube, M., Cinar, G., Schubert, U.S., Nischang, I., 2020. Incentives of using the hydrodynamic invariant and sedimentation parameter for the study of naturally- and synthetically-based macromolecules in solution. Polymers 12, 2020, 277:1-277:17. https://doi.org/10.3390/polym12020277
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