基于从尖端增强拉曼光谱 (TERS) 衍生出的结晶估计的二维聚合物单层的结构光
Wei Wang1, Feng Shao2, Martin Kröger3
1Department of Materials, Polymer Chemistry , ETH Zürich , Vladimir-Prelog-Weg 5 , 8093 Zürich , Switzerland.
Journal of the American Chemical Society
|June 28, 2019
概括
研究人员开发了一种结合尖端增强拉曼光谱和结晶模型来分析二维聚合物的新方法. 这种技术准确地确定了聚合物结构和结晶性,推动了二维材料研究.
科学领域:
- 材料科学
- 聚合物化学
- 光谱学
背景情况:
- 具有远程顺序的二维聚合物单层的结构阐明是一个重大挑战.
- 这一挑战阻碍了二维聚合物化学和合成二维材料的缓慢发展.
研究的目的:
- 介绍一种结合尖端增强拉曼光谱 (TERS) 和随机生长结晶模型的新方法.
- 克服分析二维聚合物单层结构和顺序的局限性.
- 确定新型二维聚合物的交叉连接的性质和转换数.
主要方法:
- 用尖端增强的拉曼光谱 (TERS) 来获得局部光谱信息.
- 一个随机增长结晶模型来解释TERS数据并推断全球特征.
- 应用于两个新的二维同聚合物和一个新的二维共聚合物.
主要成果:
- 成功确定新型二维聚合物的交叉链性质和转化号码 (X).
- 在假设随机的平面生长的情况下,计算出高度的结晶性 (93.1%至99.7%).
- 发现无缺陷晶体区域的平均半径为3-15nm,转换数为84%至98%.
结论:
- 这种方法有效地分析了合成二维材料的结构和顺序.
- 研究的材料符合二维聚合物,适合基础和应用研究.
- 这种方法为共价板和相关的二维材料的研究提供了新的途径.
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