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统计共聚物在水溶液中的分子内自组装形成具有可调纵横比的各向异性单链纳米颗粒。

The Intramolecular Self-Assembly of Statistical Copolymers in Aqueous Solution to Form Anisotropic Single-Chain Nanoparticles with Tunable Aspect Ratio.

作者信息

Neal Thomas J, Stone Rebecca E, György Csilla, Tzokov Svetomir B, Spain Sebastian G, Mykhaylyk Oleksandr O

机构信息

School of Mathematical and Physical Sciences, University of Sheffield, Dainton Building, Sheffield, S3 7HF, UK.

ICON, 500 South Oak Way, Green Park, Reading, RG2 6AG, UK.

出版信息

Macromol Rapid Commun. 2025 Mar;46(5):e2400898. doi: 10.1002/marc.202400898. Epub 2024 Dec 27.

Abstract

Natural single-chain nanoparticles (SCNPs) such as proteins have inspired research into the formation and application of synthetic SCNPs. Although the latter can mimic general aspects of the self-assembly behavior of their biological counterparts, these systems remain relatively understudied. In this respect, a systematic series of amphiphilic statistical copolymers (ASC) of different molecular weights, with a hydrophilic comonomer (methacrylic acid) and varying hydrophobic comonomer to encompass methacrylates of different hydrophobicity, are synthesized. Small-angle X-ray scattering studies confirmed that SCNPs are achieved for each copolymer series when dispersed in basified water at 1% w/w. When the aggregation number of the ASC nanoparticles is close to unity the particle shape elongates resulting in a larger particle surface area to volume ratio, allowing more hydrophilic groups to locate on the particle surface tending to keep the particle surface charge density (PSC) constant. Thus, within a series, particle elongation increases with copolymer molecular weight. Structural parameters of SCNPs formed by ASCs composed of hydrophobic components with low partition coefficients are well consistent with predictions obtained from the PSC model. These results highlight the main parameters, namely molecular weight and acid content, responsible for the SCNP formation and provide insight into how specific particle morphology can be targeted.

摘要

天然单链纳米颗粒(SCNPs),如蛋白质,激发了人们对合成SCNPs的形成和应用的研究。尽管后者可以模拟其生物对应物自组装行为的一般方面,但这些系统仍相对缺乏研究。在这方面,合成了一系列不同分子量的两亲性统计共聚物(ASC),其具有亲水性共聚单体(甲基丙烯酸)和不同的疏水性共聚单体,以涵盖不同疏水性的甲基丙烯酸酯。小角X射线散射研究证实,当以1% w/w的浓度分散在碱化水中时,每个共聚物系列都能形成SCNPs。当ASC纳米颗粒的聚集数接近1时,颗粒形状会拉长,导致颗粒表面积与体积比增大,从而使更多的亲水性基团能够位于颗粒表面,倾向于保持颗粒表面电荷密度(PSC)恒定。因此,在一个系列中,颗粒伸长率随共聚物分子量的增加而增加。由具有低分配系数的疏水成分组成的ASC形成的SCNPs的结构参数与从PSC模型获得的预测结果非常一致。这些结果突出了负责SCNP形成的主要参数,即分子量和酸含量,并深入了解了如何靶向特定的颗粒形态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c99/11884217/50f1bbbdf4d8/MARC-46-2400898-g002.jpg

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