Polypeptide Nanotoroids Formed on Substrate via Solvent Evaporation‐Induced Self‐Assembly

Abstract Nanotoroids possess unique topological structures and properties, holding great promise for applications in diverse fields. Solvent evaporation‐induced self‐assembly (SEIS) of polymers is an effective way of producing novel nanostructures on substrates, while the formation of polymer nanotoroids is rarely reported. Herein, a first example regarding the formation of well‐defined polypeptide nanotoroids on a hydrophilic substrate via SEIS is presented. On the substrates covered by a thin film of polypeptide solution, the polypeptides self‐assemble into nanorods with the evaporation of solvent. With further solvent evaporation, the solution breaks into small droplets. At the boundary of droplets, the nanorods are exposed to air, which increases their interfacial energy. As a result, these nanorods curve into nanotoroids. The size of the nanotoroids is readily adjusted in a relatively large range by initial polymer concentrations. A low affinity between the polypeptides and the substrates is essential for the nanorods curving into nanotoroids. The information gained in this work can not only enhance the understanding of both the characteristics of polymers and substrates on the SEIS behaviors, but also provide a novel route toward the construction of polymer nanotoroids on substrates.

Authors

Institutions

Publication Details

Journal
Advanced Materials Interfaces
Published
2025-10-15
DOI
https://doi.org/10.1002/admi.202500722
Primary Topic
Supramolecular Self-Assembly in Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Polypeptide Nanotoroids Formed on Substrate via Solvent Evaporation‐Induced Self‐Assembly

Chunhua Cai, Jiaping Lin, Qixin Guo, Rui Fang
Advanced Materials Interfaces
Supramolecular Self-Assembly in Materials
article

Polypeptide Nanotoroids Formed on Substrate via Solvent Evaporation‐Induced Self‐Assembly

Chunhua Cai, Jiaping Lin, Qixin Guo, Rui Fang
article en

Abstract

Abstract Nanotoroids possess unique topological structures and properties, holding great promise for applications in diverse fields. Solvent evaporation‐induced self‐assembly (SEIS) of polymers is an effective way of producing novel nanostructures on substrates, while the formation of polymer nanotoroids is rarely reported. Herein, a first example regarding the formation of well‐defined polypeptide nanotoroids on a hydrophilic substrate via SEIS is presented. On the substrates covered by a thin film of polypeptide solution, the polypeptides self‐assemble into nanorods with the evaporation of solvent. With further solvent evaporation, the solution breaks into small droplets. At the boundary of droplets, the nanorods are exposed to air, which increases their interfacial energy. As a result, these nanorods curve into nanotoroids. The size of the nanotoroids is readily adjusted in a relatively large range by initial polymer concentrations. A low affinity between the polypeptides and the substrates is essential for the nanorods curving into nanotoroids. The information gained in this work can not only enhance the understanding of both the characteristics of polymers and substrates on the SEIS behaviors, but also provide a novel route toward the construction of polymer nanotoroids on substrates.

Advanced Materials InterfacesVol. 12(23)
East China University of Science and Technology (CN)
National Natural Science Foundation of China, Program of Shanghai Academic Research Leader
Openalex Percentile: Top 81%
Supramolecular Self-Assembly in Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.