Graphite Phase Carbon Nitride Nanosheets-Based Fluorescent Sensors for Analysis and Detection

Area of Science:

• Materials Science
• Analytical Chemistry
• Nanotechnology

Background:

• Fluorescent sensors offer high sensitivity, rapid detection, and low cost, serving as alternatives to traditional methods.
• Graphitic phase carbon nitride nanosheets (g-CNNs) are promising carbon-based nanomaterials with excellent photophysical properties.
• Functionalized g-CNNs demonstrate enhanced photocatalytic performance, making them attractive for sensor development.

Purpose of the Study:

• To review the application progress of g-CNNs-based fluorescent sensors in analytical detection.
• To summarize common sensing mechanisms, including photoinduced electron transfer (PET), fluorescence resonance energy transfer (FRET), and intramolecular charge transfer (ICT).
• To discuss the advantages and disadvantages of various signal substances used in g-CNNs fluorescent sensors.

Main Methods:

• Literature review focusing on g-CNNs-based fluorescent sensors.
• Analysis of sensing mechanisms and signal transduction pathways.
• Evaluation of the performance and applications of g-CNNs in analytical detection.

Main Results:

• g-CNNs exhibit favorable characteristics for fluorescent sensing, including high quantum yield, stability, and low toxicity.
• Various functional modifications of g-CNNs significantly enhance their sensing capabilities.
• g-CNNs have been successfully applied in detecting diverse analytes through different sensing mechanisms.

Conclusions:

• g-CNNs represent a versatile platform for developing advanced fluorescent sensors.
• Further research into g-CNNs-based sensors will likely expand their analytical applications.
• This review provides a comprehensive overview of the current state and future prospects of g-CNNs in fluorescent sensing.