荧光
氮化碳
石墨
材料科学
纳米技术
碳纤维
氮化物
相(物质)
化学工程
化学
冶金
有机化学
复合材料
工程类
催化作用
物理
图层(电子)
光催化
量子力学
复合数
作者
Yanan Liu,Lina Zou,Huiru Niu,Zheng Li,Huanyu Ren,Xiaojing Zhang,Hao Liao,Zhiren Zhou,Xueqing Zhang,Xiaojing Huang,Hongzhi Pan,Shengzhong Rong,Hongkun Ma
标识
DOI:10.1080/10408347.2024.2431222
摘要
Fluorescent sensors reflect information such as the concentration or content of the analysis by interacting with a specific recognition group to change the signal of the fluorophore. It has attracted much attention because of its advantages of high sensitivity, fast detection speed and low cost, and it has become an effective alternative to traditional detection methods. Graphitic phase carbon nitride nanosheets (g-CNNs) are a class of carbon-based fluorescent nanomaterials derived from bulk graphite phase carbon nitride (g-C3N4), which have attracted much attention from scholars because of their advantages of low cost, simple fabrication, high quantum yield, strong stability and nontoxicity. Functional modified g-CNNs can greatly improve the photocatalytic performance. At present, although there have been some researches on fluorescent sensors based on g-CNNs. Nevertheless, there are few reviews about the g-CNNs-based fluorescent sensors. Therefore, in addition to summarizing the sensing mechanism of fluorescent sensors (such as photoinduced electron transfer, fluorescence resonance energy transfer, and intramolecular charge transfer) and the advantages and disadvantages of common signal substances, this paper focused on the application progress of g-CNNs-based fluorescent sensors in the field of analysis and detection.
科研通智能强力驱动
Strongly Powered by AbleSci AI