Ministry of Education Key Laboratory of Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou 350116, China.
Nanoscale. 2017 Nov 23;9(45):17737-17742. doi: 10.1039/c7nr04845a.
The photoluminescence (PL) emission mechanism of graphitic carbon nitride (g-CN) is still ambiguous and the application of PL g-CN powder as a solid sensing platform has not been explored. Herein we highlight a strategy to prepare g-CN powder with strong green PL by doping phenyl groups in a carbon nitride network. Compared with pristine g-CN, doping of phenyl groups greatly enhances the PL efficiency and Stokes shift. Theoretical calculations based on density function theory indicate that phenyl groups change the electronic structure of the carbon nitride network and have an obvious contribution to the LUMO of phenyl-doped g-CN, which may be the main reason for the enhancement of the PL efficiency and Stokes shift. Taking advantage of the high PL efficiency, large Stokes shift and high photo-stability, phenyl-doped g-CN powder shows promising application for the imaging of latent fingerprints.
石墨相氮化碳（g-CN）的光致发光（PL）发射机制仍不清楚，PL g-CN 粉末作为固态传感平台的应用尚未得到探索。本文中，我们提出了一种策略，通过在氮化碳网络中掺杂苯环基团来制备具有强绿光 PL 的 g-CN 粉末。与原始 g-CN 相比，苯环基团掺杂大大提高了 PL 效率和斯托克斯位移。基于密度泛函理论的理论计算表明，苯环基团改变了氮化碳网络的电子结构，对苯环掺杂 g-CN 的 LUMO 有明显的贡献，这可能是 PL 效率和斯托克斯位移增强的主要原因。利用高 PL 效率、大斯托克斯位移和高光稳定性，苯环掺杂 g-CN 粉末有望应用于潜在指纹的成像。
