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Emerging Graphitic Carbon Nitride-based Nanobiomaterials for Biological Applications
Shamkumar Deshmukh1, Krishna Pawar2, Valmiki Koli3
1Department of Chemistry, Damani Bhairuratan Fatechand, Dayanand College of Arts and Science, Solapur 413002, India.
ACS Applied Bio Materials
|April 3, 2023
Summary
Graphitic carbon nitride (g-CN) nanostructures show great potential in biological applications due to their unique properties. This review explores their synthesis, optimization, and use in areas like biosensing and therapy.
Area of Science:
- Materials Science, Nanotechnology, Biomedical Engineering
Background:
- Graphitic carbon nitride (g-CN) nanostructures possess unique compositional, structural, optical, and electronic properties.
- These properties include an exceptional band structure, moderate surface area, and high thermal and chemical stability.
- g-CN nanomaterials demonstrate significant promise for advanced biological applications.
Purpose of the Study:
- To review state-of-the-art synthetic strategies and optimization techniques for g-CN nanomaterials.
- To provide a panorama of g-CN's physicochemical properties relevant to biological applications.
- To summarize recent progress and future perspectives of g-CN in nanobiomaterials.
Main Methods:
- Literature review of synthesis methods for g-CN nanostructures.
- Analysis of structural, optical, and electronic properties.
- Compilation of applications in biosensing, bioimaging, therapy, and drug delivery.
Main Results:
- g-CN nanostructures can be synthesized through various strategies, with optimization enhancing their properties.
- These materials show high performance in biosensors, bioimaging, photodynamic therapy, drug delivery, chemotherapy, and antimicrobial applications.
- Biosafety and biocompatibility evaluations are crucial for clinical translation.
Conclusions:
- g-CN based nanobiomaterials offer a promising platform for diverse biomedical applications.
- Further research into unresolved issues and challenges is needed to advance g-CN development.
- Optimized g-CN holds potential for clinical translation, benefiting human well-being.

