Abstract

Protein aggregation into gel networks is of immense importance in diverse areas from food science to medical research; however, it remains a grand challenge as the underlying molecular interactions are complex, difficult to access experimentally, and to model computationally. Early stages of gelation often involve protein aggregation into protein clusters that later on aggregate into a gel network. Recently synthesized protein microparticles allow direct control of these early stages of aggregation, decoupling them from the subsequent gelation stages. Here, by following the gelation of protein microparticles directly at the particle scale, we elucidate in detail the emergence of a percolating structure and the onset of rigidity as measured by microrheology. We find that the largest particle cluster, correlation length, and degree of polymerization all diverge with power laws, while the particles bind irreversibly indicating a nonequilibrium percolation process, in agreement with recent results on weakly attractive colloids. Concomitantly, the elastic modulus increases in a power-law fashion as determined by microrheology. These results give a consistent microscopic picture of the emergence of rigidity in a nonequilibrium percolation process that likely underlies the gelation in many more systems such as proteins, and other strongly interacting structures originating from (bio)molecules.

Highlights

  • Protein aggregation is of immense importance in biology, medical research, and food and dairy products[1,2,3,4,5,6,7,8,9,10,11,12]

  • The results indicate that the network rigidity is governed by bondbending interactions, while the emergence of the network is governed by a nonequilibrium continuous phase transition process

  • Rheology Rheology results of the acidifying protein suspensions, both the regular proteins and the protein microparticles, are shown in npj Science of Food (2021) 32

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Summary

Introduction

Protein aggregation is of immense importance in biology, medical research, and food and dairy products[1,2,3,4,5,6,7,8,9,10,11,12]. Protein interactions are complex and notoriously difficult to model. Heating induces denaturation of the proteins leading to enlarged exposure of hydrophobic and reactive groups such as thiol groups that cause sticking, while lowering the pH towards the proteins’ isoelectric point eliminates their electrostatic stabilization causing aggregation. While ab initio calculations can predict conformations and interactions of single proteins, the consequent aggregation remains computationally inaccessible, and its modeling has to rely on an effective sticky sphere or patchy particle models[15]

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