960化工网
A method to estimate the size of single-chain nanoparticles under severe crowding conditions
Isabel Asenjo-Sanz,Ester Verde-Sesto
RSC Advances Pub Date : 01/10/2022 00:00:00 , DOI:10.1039/D1RA09088G
Abstract

Single-chain nanoparticles (SCNPs) result from the folding of isolated polymer chains via intramolecular interactions. Currently, there is no theory able to rationalize the astonishing conformational behaviour of SCNPs under severe crowding conditions (e.g., highly concentrated solutions, all-polymer nanocomposites) and, specifically, the significant size reduction observed in highly crowded solutions of covalent-bonded SCNPs and all-polymer nanocomposites containing SCNPs. Herein, we propose a valuable method to estimate the size of SCNPs under crowding. The method – which is based on combining MD simulations results with scaling concepts – is also useful for ring polymers and nanostructured Janus-shaped SCNPs.

Graphical abstract: A method to estimate the size of single-chain nanoparticles under severe crowding conditions
平台客服
平台客服
平台在线客服