Suppr超能文献

非晶态石墨烯及氧化石墨烯类似物的合成

Synthesis of Amorphous Graphene and Graphene Oxide Analogues.

作者信息

Sakuma Tomoki, Sato Ryoichi, Yamaguchi Akihiro, Imai Hiroaki, Arai Noriyoshi, Oaki Yuya

机构信息

Department of Applied Chemistry, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan.

Department of Mechanical Engineering, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan.

出版信息

J Am Chem Soc. 2025 Apr 2;147(13):11564-11573. doi: 10.1021/jacs.5c00548. Epub 2025 Mar 25.

Abstract

Graphene and graphene oxide (GO) are promising two-dimensional nanomaterials. An ultimate goal is to achieve large-scale bottom-up syntheses of perfect graphene and GO. However, controlled syntheses of perfect graphitic structures still remain challenges in chemistry and materials science. Moreover, amorphous types have not received much attention. The present work shows syntheses, structures, and applications of amorphous graphene and GO analogues alternative to the ideal ones. The simultaneous multiple reactions of two conjugated monomers provide amorphous conjugated polymer networks containing low-crystalline graphitic domains and their stacking. The stacked amorphous graphene and GO are exfoliated into thin nanosheets including few-layers and monolayers. Moreover, syntheses of the amorphous GO analogues are applied to obtain a reinforced plastic with high mechanical strength. The present work implies that various functional nanocarbons can be designed and synthesized by tailored combinations of conjugated monomers.

摘要

石墨烯和氧化石墨烯(GO)是很有前景的二维纳米材料。一个最终目标是实现完美石墨烯和氧化石墨烯的大规模自下而上合成。然而,完美石墨结构的可控合成在化学和材料科学中仍然是挑战。此外,无定形类型尚未受到太多关注。目前的工作展示了非理想的无定形石墨烯和氧化石墨烯类似物的合成、结构及应用。两种共轭单体的同时多重反应提供了包含低结晶石墨域及其堆叠的无定形共轭聚合物网络。堆叠的无定形石墨烯和氧化石墨烯被剥离成包括少层和单层的薄纳米片。此外,无定形氧化石墨烯类似物的合成被应用于获得具有高机械强度的增强塑料。目前的工作表明,通过共轭单体的定制组合可以设计和合成各种功能性纳米碳。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c5c/11969549/a5efc90110f2/ja5c00548_0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验