标题:Understanding Pathway Complexity of Organic Micro/Nanofiber Growth in Hydrogen-Bonded Coassembly of Aromatic Amino Acids
作者:Xing, Pengyao; Li, Peizhou; Chen, Hongzhong; Hao, Aiyou; Zhao, Yanli
作者机构:[Xing, Pengyao; Li, Peizhou; Chen, Hongzhong; Zhao, Yanli] Nanyang Technol Univ, Sch Phys & Math Sci, Div Chem & Biol Chem, 21 Nanyang Link, Singapore 更多
通讯作者:Hao, Aiyou
通讯作者地址:[Zhao, YL]Nanyang Technol Univ, Sch Phys & Math Sci, Div Chem & Biol Chem, 21 Nanyang Link, Singapore 637371, Singapore;[Hao, AY]Shandong Univ, Minist 更多
来源:ACS NANO
出版年:2017
卷:11
期:4
页码:4206-4216
DOI:10.1021/acsnano.7b01161
关键词:aromatic amino acids; coassembly; hydrogen-bonding interaction; organic; micro/nanofibers; pathway complexity
摘要:Rational engineering of one-dimensional (1D) self-assembled aggregates to produce desired materials for versatile functions remains a challenge. In this work, we report the noncovalent modulation of 1D aggregates at the micro/nanoscale using a coassembly protocol. Aromatic amino acids were employed as the model building blocks, and melamine (Mm) behaves as a modulator to form coassembly arrays with aromatic amino acids selectively. The selective self-assembly behavior between aromatic amino acids and Mm allows distinguishing and detecting Mm and aromatic amino acids from their analogues in macroscopic and microscopic scales. Dimensions and sizes of fibrous aggregates prepared from different amino acids show two opposite pathways from pristine assemblies to coassemblies induced by the addition of Mm. This pathway complexity could be controlled by the molecular conformation determined by a-positioned substituents. The developed hypothesis presents an excellent expansibility to other substrates, which may guide us to rationally design and screen 1D materials with different dimensions and sizes including the production of high-quality self standing hydrogels.
收录类别:EI;SCOPUS;SCIE
WOS核心被引频次:9
Scopus被引频次:9
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018639489&doi=10.1021%2facsnano.7b01161&partnerID=40&md5=ca136f1d90a1e7449207eb3e9708c3ef
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