PAMAM树状大分子在甲醇中的扩散特性

IF 5.2 1区 化学 Q1 POLYMER SCIENCE
Naira R. Gromova, Amina D. Muratova, Andrei V. Komolkin, Denis A. Markelov
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引用次数: 0

摘要

枝状大分子的扩散特性及其流体动力半径Rh对于理论研究和实际应用都具有重要意义。仿真结果与实验结果的对比验证了仿真结果的准确性。在这项工作中,利用分子动力学模拟研究了聚酰胺胺(PAMAM)树状大分子在甲醇溶液中的平移迁移率。结果表明,与由平移迁移率获得的Rh的模拟细胞大小相关的经典校正方法对不同树突状分子世代的数值低估了。利用线性拟合无限稀释溶液的流体动力半径近似值使Rh接近于甲醇中PAMAM树状大分子的实验数据,但需要对多种细胞尺寸进行模拟。与此方法相反,旋转扩散计算允许使用单个细胞估计Rh,并且产生接近实验值的值,而无需任何修正。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Diffusion Properties of PAMAM Dendrimers in Methanol

Diffusion Properties of PAMAM Dendrimers in Methanol
The diffusion properties and, as a consequence, the hydrodynamic radius, Rh, of dendrimers are of great importance for both theoretical studies and practical applications. In addition, the comparison of Rh values from simulations and experiments serves to verify the accuracy of the simulations. In this work, the translational mobility of polyamidoamine (PAMAM) dendrimers in methanol solution is investigated using molecular dynamics simulations. It is shown that the classical correction method related to the simulation cell sizes for Rh obtained from translational mobility gives underestimated values for different dendrimer generations. The approximation of the hydrodynamic radius using a linear fit to an infinitely diluted solution gives Rh close to experimental data for PAMAM dendrimers in methanol but requires simulation for multiple cell sizes. In contrast to this approach, the calculation from rotational diffusion allows Rh to be estimated using a single cell and yields values close to the experimental ones without any correction.
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来源期刊
Macromolecules
Macromolecules 工程技术-高分子科学
CiteScore
9.30
自引率
16.40%
发文量
942
审稿时长
2 months
期刊介绍: Macromolecules publishes original, fundamental, and impactful research on all aspects of polymer science. Topics of interest include synthesis (e.g., controlled polymerizations, polymerization catalysis, post polymerization modification, new monomer structures and polymer architectures, and polymerization mechanisms/kinetics analysis); phase behavior, thermodynamics, dynamic, and ordering/disordering phenomena (e.g., self-assembly, gelation, crystallization, solution/melt/solid-state characteristics); structure and properties (e.g., mechanical and rheological properties, surface/interfacial characteristics, electronic and transport properties); new state of the art characterization (e.g., spectroscopy, scattering, microscopy, rheology), simulation (e.g., Monte Carlo, molecular dynamics, multi-scale/coarse-grained modeling), and theoretical methods. Renewable/sustainable polymers, polymer networks, responsive polymers, electro-, magneto- and opto-active macromolecules, inorganic polymers, charge-transporting polymers (ion-containing, semiconducting, and conducting), nanostructured polymers, and polymer composites are also of interest. Typical papers published in Macromolecules showcase important and innovative concepts, experimental methods/observations, and theoretical/computational approaches that demonstrate a fundamental advance in the understanding of polymers.
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