journal article·2025-11-25

Engineering Microwave-Activatable Nanoenergic Converters with Energy Cascade Structures for On-Demand Microwave Dynamic Therapy

Dongdong Wang, Qiong Wu, Wenna Guo, Longfei Tan, Changhui Fu, Xiangling Ren, Zengzhen Chen, Guihua Jiang, Xianwei Meng

ACS Nano· Volume 19· Issue 46
Publisher page

Abstract

Microwave dynamic therapy (MDT) has emerged as a promising therapy for cancer treatment. However, its therapeutic efficacy is constrained by limited microwave (MW) energy density and suboptimal MW absorption capacity of conventional MW sensitizers. To address these challenges, we engineer Ti 3 C 2 @CoFeMOF@CaO 2 nanoenergic converters (MMC-NCs) to augment reactive oxygen species (ROS) generation. Through enhancement of dielectric loss, the MW absorption capacity of MMC-NCs is promoted. Importantly, MMC-NCs overcome intrinsic MW energy limitations via a coupled energy cascade strategy. Under MW irradiation, CoFeMOF-induced hyperthermia establishes a thermal gradient across the Ti 3 C 2 /CoFeMOF heterostructure, creating a built-in electric field via the thermoelectric effect of Ti 3 C 2 . Experimental and density functional theory (DFT) analyses demonstrate that the built-in electric field promotes electron–hole separation and elevates the electron density in CoFeMOF, enabling electron-mediated ROS production (·OH and 1 O 2 ) via reacting with absorbed H 2 O 2 /O 2 . In vitro and in vivo validations confirm that MMC-NCs effectively inhibit tumor growth and eliminate Staphylococcus aureus ( S. aureus ) in 4T1 tumor-bearing mice, where S. aureus is known to aggravate the malignant progression of breast cancer. Collectively, this innovative MMC-NCs not only optimize MW energy utilization but also overcome the intrinsic energy density limitations, making a major step forward in enhancing MDT efficacy for antitumor and antibacterial applications.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Nanoplatforms for cancer theranostics · Nanoparticle-Based Drug Delivery · Hepatocellular Carcinoma Treatment and Prognosis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Cryogenic Science and Technology and Laboratory of Controllable Preparation and Application of Nanomaterials

Technical Institute of Physics and Chemistry, Chinese Academy of Sciences

University of Chinese Academy of Sciences

Department of Medical Imaging

The Affiliated Guangdong Second Provincial General Hospital of Jinan University

Funding

Natural Science Foundation of Beijing Municipality · National Natural Science Foundation of China

References (39)

Show source-provided references
1. 10.1002/adma.20241091710.1002/adma.202410917 ↗
2. 10.1021/acsnano.4c1060310.1021/acsnano.4c10603 ↗
3. 10.1038/s41467-021-21435-610.1038/s41467-021-21435-6 ↗
4. 10.1016/j.carbon.2020.07.02810.1016/j.carbon.2020.07.028 ↗
5. 10.1002/advs.20240997910.1002/advs.202409979 ↗
6. 10.1021/acsnano.4c1226110.1021/acsnano.4c12261 ↗
7. 10.1038/s41467-023-40954-y10.1038/s41467-023-40954-y ↗
8. 10.1038/s41467-024-51772-110.1038/s41467-024-51772-1 ↗
9. 10.1002/adma.20240041610.1002/adma.202400416 ↗
10. 10.1016/j.bioactmat.2022.07.00710.1016/j.bioactmat.2022.07.007 ↗
11. 10.1002/advs.20230008410.1002/advs.202300084 ↗
12. 10.1016/j.ccr.2024.21628210.1016/j.ccr.2024.216282 ↗
13. 10.1016/j.ensm.2022.12.03610.1016/j.ensm.2022.12.036 ↗
14. 10.1002/anie.20250750210.1002/anie.202507502 ↗
15. 10.1002/adfm.20210138110.1002/adfm.202101381 ↗
16. 10.1016/j.jallcom.2020.15463410.1016/j.jallcom.2020.154634 ↗
17. 10.1016/j.apmt.2022.10160810.1016/j.apmt.2022.101608 ↗
18. 10.1021/acsnano.0c0409910.1021/acsnano.0c04099 ↗
19. 10.1002/smll.20231150410.1002/smll.202311504 ↗
20. 10.1002/gch2.20230024410.1002/gch2.202300244 ↗
21. 10.1002/aenm.20210034610.1002/aenm.202100346 ↗
22. 10.1007/s40820-022-00894-610.1007/s40820-022-00894-6 ↗
23. 10.1002/adhm.20230069910.1002/adhm.202300699 ↗
24. 10.1038/s41467-024-48662-x10.1038/s41467-024-48662-x ↗
25. 10.1016/j.micpath.2024.10683110.1016/j.micpath.2024.106831 ↗
26. 10.1002/adma.20230255910.1002/adma.202302559 ↗
27. 10.1016/j.ccr.2025.21701810.1016/j.ccr.2025.217018 ↗
28. 10.1016/j.est.2023.11029310.1016/j.est.2023.110293 ↗
29. 10.1002/adma.20241411110.1002/adma.202414111 ↗
30. 10.1002/advs.20210555310.1002/advs.202105553 ↗
31. 10.1016/j.matdes.2025.11442010.1016/j.matdes.2025.114420 ↗
32. 10.1021/acsami.8b1672710.1021/acsami.8b16727 ↗
33. 10.1002/adma.20241873110.1002/adma.202418731 ↗
34. 10.1021/acsomega.3c0889010.1021/acsomega.3c08890 ↗
35. 10.1002/smll.20230795510.1002/smll.202307955 ↗
36. 10.1007/s10565-024-09910-410.1007/s10565-024-09910-4 ↗
37. 10.3390/pathogens1002016510.3390/pathogens10020165 ↗
38. 10.1016/j.cell.2022.02.02710.1016/j.cell.2022.02.027 ↗
39. 10.1038/s41467-020-16967-210.1038/s41467-020-16967-2 ↗