Perez-Baena Irma, Moreno Angel J, Colmenero Juan, Pomposo José A
Materials Physics Center MPC, Paseo Manuel de Lardizabal 5, E-20018 San Sebastián, Spain.
Soft Matter. 2014 Dec 21;10(47):9454-9. doi: 10.1039/c4sm01991a. Epub 2014 Oct 24.
The flow properties of dilute solutions of linear, star, hyperbranched and dendrimeric polymers have been the subject of numerous studies. However, no systematic analysis has been carried out for the case of single-chain nanoparticles (SCNPs) of different nature, which are unimolecular soft nano-objects consisting of individual polymer chains collapsed to a certain degree by means of intramolecular bonding. On the basis of the fractal nature of SCNPs and experimental data of the hydrodynamic radius, a simple predictive power-law between the intrinsic viscosity and molecular weight is proposed. Furthermore, a comparison is made between the intrinsic viscosities of SCNPs and of low-functionality stars, hyperbranched and dendrimeric polymers of the same chemical nature and molecular weight. As a consequence of their complex nanoscopic architecture, the intrinsic viscosities of SCNPs are systematically smaller than those of linear chains and low-functionality stars. When compared with hyperbranched and dendrimeric polymers, a complex behaviour is found, this being highly dependent on the molecular weight and amount of X-linkers of SCNPs.
线性、星形、超支化和树枝状聚合物稀溶液的流动性质已成为众多研究的主题。然而，对于不同性质的单链纳米颗粒（SCNP）的情况尚未进行系统分析，SCNP是由单个聚合物链通过分子内键合在一定程度上折叠而成的单分子软纳米物体。基于SCNP的分形性质和流体动力学半径的实验数据，提出了特性粘度与分子量之间简单的预测幂律关系。此外，还比较了相同化学性质和分子量的SCNP与低官能度星形、超支化和树枝状聚合物的特性粘度。由于其复杂的纳米结构，SCNP的特性粘度系统地低于线性链和低官能度星形聚合物。与超支化和树枝状聚合物相比，发现了复杂的行为，这高度依赖于SCNP的分子量和交联剂的量。
