Recent trends in mesoporous carbon-based nanoplatforms for biomedical application.
10.1016/j.jpha.2025.101383
- Author:
Wei YANG
1
;
Jinnian GE
2
;
Mohan JIANG
3
;
Nan ZHANG
4
;
Qinghe YANG
4
;
Kaisheng NAN
5
;
Qinfu ZHAO
5
;
Long WAN
4
;
Xiaofan WANG
6
Author Information
1. Department of Infectious Disease, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
2. Department of General Surgery, The First Hospital of China Medical University, Shenyang, 110001, China.
3. Department of Cardiology, The First Hospital of China Medical University, Shenyang, 110001, China.
4. Department of Pharmacy, The First Hospital of China Medical University, Shenyang, 110001, China.
5. Department of Pharmaceutics, School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, 110016, China.
6. School of Pharmacy, China Medical University, Shenyang, 110122, China.
- Publication Type:Review
- Keywords:
Antibacterial;
Biological detection;
Biomedical application;
Mesoporous carbon-based nanocomposites;
Tumor theranostics
- From:
Journal of Pharmaceutical Analysis
2025;15(11):101383-101383
- CountryChina
- Language:English
-
Abstract:
Mesoporous carbon nanoparticles (MCNs) have received considerable attention for biomedical applications due to their unique structural features, including high specific surface area, adjustable pore size, and remarkable biocompatibility. These properties have addressed key challenges such as inefficiencies in drug loading and release, minimizing the side effects associated with conventional treatments. In this review, the classification and the research progress of MCNs are summarized firstly, the preparation and modification techniques to enhance their functionality and properties are further reviewed, the main physicochemical properties are introduced as well, highlighting their contributions to MCNs in applications. In addition, the biomedical applications of MCNs are emphasized, including tumor therapy, tumor theranostics, antibacterial, delivery of active molecules and biological detection. Finally, the prospects and challenges of clinical application based on MCNs are analyzed to provide an effective reference and lay the foundation for further research.
