Phase separation and dynamical arrest of protein solutions dominated by short-range attractions

TL;DR

This study investigates how short-range attractions influence phase separation and dynamical arrest in protein solutions, revealing that the second virial coefficient $B_2$ effectively describes the binodal behavior and arrest lines, supported by experiments and theory.

Contribution

It demonstrates that protein phase behavior and arrest lines can be unified using the second virial coefficient, providing a simplified description of complex interactions.

Findings

Binodals collapse onto a master curve when plotted against $B_2$.

Arrest lines are consistent across salt concentrations when using $B_2$ as a parameter.

Experimental results are supported by non-equilibrium Langevin equation theory.

Abstract

The interplay of phase separation and dynamical arrest can lead to the formation of gels and glasses, which is relevant for such diverse fields as hard and soft condensed matter physics, materials science, food engineering and pharmaceutical industry. Here, the non-equilibrium states as well as the interactions of globular proteins are analyzed. Lysozyme in brine is chosen as a model system with short-range attractions. The metastable gas-liquid binodal and the dynamical arrest line as well as the second virial coefficient $B_2$ have been determined for various solution conditions by cloud-point measurements, optical microscopy, centrifugation experiments and light scattering. If temperature is expressed in terms of $B_2$, the binodals obtained under various conditions fall onto a master curve, as suggested by the extended law of corresponding states. Arrest lines for different salt concentrations overlap within experimental errors, whereas they do not overlap if the temperature axis is replaced by $B_2$. This indicates that the binodals are not sensitive to the details of the potential, but can be described by one integral parameter, i.e. $B_2$, whereas the arrest line appears governed by its attractive part. The experimental findings are supported by numerical results of the non-equilibrium self-consistent generalized Langevin equation theory.