Issue 7, 2023

Self-assembled supramolecular artificial light-harvesting nanosystems: construction, modulation, and applications

Abstract

Artificial light-harvesting systems, an elegant way to capture, transfer and utilize solar energy, have attracted great attention in recent years. As the primary step of natural photosynthesis, the principle of light-harvesting systems has been intensively investigated, which is further employed for artificial construction of such systems. Supramolecular self-assembly is one of the feasible methods for building artificial light-harvesting systems, which also offers an advantageous pathway for improving light-harvesting efficiency. Many artificial light-harvesting systems based on supramolecular self-assembly have been successfully constructed at the nanoscale with extremely high donor/acceptor ratios, energy transfer efficiency and the antenna effect, which manifests that self-assembled supramolecular nanosystems are indeed a viable way for constructing efficient light-harvesting systems. Non-covalent interactions of supramolecular self-assembly provide diverse approaches to improve the efficiency of artificial light-harvesting systems. In this review, we summarize the recent advances in artificial light-harvesting systems based on self-assembled supramolecular nanosystems. The construction, modulation, and applications of self-assembled supramolecular light-harvesting systems are presented, and the corresponding mechanisms, research prospects and challenges are also briefly highlighted and discussed.

Graphical abstract: Self-assembled supramolecular artificial light-harvesting nanosystems: construction, modulation, and applications

Article information

Article type
Review Article
Submitted
20 Dez 2022
Accepted
29 Dez 2022
First published
31 Dez 2022
This article is Open Access
Creative Commons BY license

Nanoscale Adv., 2023,5, 1830-1852

Self-assembled supramolecular artificial light-harvesting nanosystems: construction, modulation, and applications

X. Chen, X. Chen, X. Hou, S. Zhang, D. Chen and Q. Li, Nanoscale Adv., 2023, 5, 1830 DOI: 10.1039/D2NA00934J

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