Framework elucidating the supersaturation dynamics of nanocrystal growth

TL;DR

This paper introduces a new framework for in situ characterization of supersaturation during nanocrystal growth, revealing complex triphasic dynamics and enabling prediction and control of nanocrystal shape evolution.

Contribution

The authors develop a quantitative in situ framework for supersaturation, providing new insights into the complex growth dynamics of colloidal nanocrystals and enabling rational shape control.

Findings

Identified a triphasic supersaturation sequence in Au nanocube synthesis.

Demonstrated the ability to predict nanocrystal growth profiles from supersaturation data.

Applied the framework to modulate nanocrystal shape evolution and reduce impurities.

Abstract

Supersaturation is the fundamental parameter driving crystal formation, yet its dynamics during the growth of colloidal nanocrystals (NCs) are poorly understood. Experimental characterization of supersaturation in colloidal syntheses has been difficult, limiting insight into the phenomena underlying NC growth. Hence, despite significant interest in the topic, how many types of NCs grow remain unclear. Here, we develop a framework to quantitatively characterize supersaturation in situ throughout NC growth. Using this approach, we investigate the seed-mediated synthesis of colloidal Au nanocubes, revealing a triphasic sequence for the supersaturation dynamics: rapid monomer consumption, sustained supersaturation, and then gradual monomer depletion. These NCs undergo different shape evolutions in different phases of the supersaturation dynamics. As shown with the Au nanocubes, we can use the supersaturation profile to theoretically predict the growth profile of NCs. We then apply these insights to rationally modulate shape evolutions, decreasing the yield of impurity NCs. Our findings demonstrate that the supersaturation dynamics of NC growth can be more complex than previously understood. While this study focuses experimentally on Au NCs, our framework is facile and applicable to a broad range of NCs undergoing classical growth. Thus, our methodology facilitates deeper understanding of the phenomena governing nanoscale crystal growth and provides insight towards the rational design of NCs.