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

IF 4.2 3区 化学 Q2 POLYMER SCIENCE Macromolecular Rapid Communications Pub Date : 2024-12-27 DOI:10.1002/marc.202400898
Thomas J Neal, Rebecca E Stone, Csilla György, Svetomir B Tzokov, Sebastian G Spain, Oleksandr O Mykhaylyk
{"title":"The Intramolecular Self-Assembly of Statistical Copolymers in Aqueous Solution to Form Anisotropic Single-Chain Nanoparticles with Tunable Aspect Ratio.","authors":"Thomas J Neal, Rebecca E Stone, Csilla György, Svetomir B Tzokov, Sebastian G Spain, Oleksandr O Mykhaylyk","doi":"10.1002/marc.202400898","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":205,"journal":{"name":"Macromolecular Rapid Communications","volume":" ","pages":"e2400898"},"PeriodicalIF":4.2000,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Macromolecular Rapid Communications","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1002/marc.202400898","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"POLYMER SCIENCE","Score":null,"Total":0}
引用次数: 0

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
统计共聚物在水溶液中的分子内自组装形成具有可调长宽比的各向异性单链纳米颗粒。
天然单链纳米粒子(SCNPs),如蛋白质,激发了对合成SCNPs的形成和应用的研究。尽管后者可以模仿其生物对应物的自组装行为的一般方面,但这些系统的研究仍然相对不足。在这方面,系统地合成了一系列具有不同分子量的两亲性统计共聚物(ASC),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,以包含不同疏水性的甲基丙烯酸酯。小角度x射线散射研究证实,当以1% w/w分散在碱化水中时,每个共聚物系列都可以获得SCNPs。当ASC纳米颗粒聚集数接近1时,颗粒形状拉长,导致颗粒表面积体积比增大,使得更多的亲水基团位于颗粒表面,趋于保持颗粒表面电荷密度(PSC)不变。因此,在一个系列中,颗粒伸长率随着共聚物分子量的增加而增加。由低分配系数疏水组分组成的ASCs形成的SCNPs的结构参数与PSC模型的预测结果一致。这些结果突出了SCNP形成的主要参数,即分子量和酸含量,并为如何靶向特定颗粒形态提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Macromolecular Rapid Communications
Macromolecular Rapid Communications 工程技术-高分子科学
CiteScore
7.70
自引率
6.50%
发文量
477
审稿时长
1.4 months
期刊介绍: Macromolecular Rapid Communications publishes original research in polymer science, ranging from chemistry and physics of polymers to polymers in materials science and life sciences.
期刊最新文献
Electrospinning Using AC Electric Fields. Kumada-Tamao Catalyst-Transfer Condensation Polymerization of AB2 Monomer: Synthesis of Well-Defined Hyperbranched Poly(thienylene-phenylene). Nanochitin From Crab Shells: Production, Chemical Modification, Composite Materials, and Physiological Functions. Partially Degradable N-Type Conjugated Random Copolymers for Intrinsically Stretchable Organic Field-Effect Transistors. Recent Progress in Polymer Gel-Based Ionic Thermoelectric Devices: Materials, Methods, and Perspectives.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1