Issue 39, 2022

Reversible assembly of nanoparticles: theory, strategies and computational simulations

Abstract

The significant advances in synthesis and functionalization have enabled the preparation of high-quality nanoparticles that have found a plethora of successful applications. The unique physicochemical properties of nanoparticles can be manipulated through the control of size, shape, composition, and surface chemistry, but their technological application possibilities can be further expanded by exploiting the properties that emerge from their assembly. The ability to control the assembly of nanoparticles not only is required for many real technological applications, but allows the combination of the intrinsic properties of nanoparticles and opens the way to the exploitation of their complex interplay, giving access to collective properties. Significant advances and knowledge gained over the past few decades on nanoparticle assembly have made it possible to implement a growing number of strategies for reversible assembly of nanoparticles. In addition to being of interest for basic studies, such advances further broaden the range of applications and the possibility of developing innovative devices using nanoparticles. This review focuses on the reversible assembly of nanoparticles and includes the theoretical aspects related to the concept of reversibility, an up-to-date assessment of the experimental approaches applied to this field and the advanced computational schemes that offer key insights into the assembly mechanisms. We aim to provide readers with a comprehensive guide to address the challenges in assembling reversible nanoparticles and promote their applications.

Graphical abstract: Reversible assembly of nanoparticles: theory, strategies and computational simulations

Article information

Article type
Review Article
Submitted
12 may. 2022
Accepted
23 sep. 2022
First published
26 sep. 2022
This article is Open Access
Creative Commons BY-NC license

Nanoscale, 2022,14, 14385-14432

Reversible assembly of nanoparticles: theory, strategies and computational simulations

D. Gentili and G. Ori, Nanoscale, 2022, 14, 14385 DOI: 10.1039/D2NR02640F

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