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Published on: March 25, 2019
Engineering Layered Nanomaterials for Cancer Theranostics: Current Progress and Future Opportunities
Xiangrong Pan1, Tingting Hu2, Yajie Zhang3
1College of Chemistry and Chemical Engineering, Henan Key Laboratory of Function-Oriented Porous Materials, Luoyang Normal University, Luoyang, P. R. China.
Atomic-level engineering of layered nanomaterials (LNs) enhances cancer theranostics. Strategies like crystal phase and defect engineering optimize LNs for improved diagnosis and therapy.
Area of Science:
- Materials Science
- Nanotechnology
- Oncology
Background:
- Layered nanomaterials (LNs) offer tunable physicochemical properties for advanced cancer theranostics.
- Conventional nanoplatforms face limitations in precision and efficacy for cancer diagnosis and therapy.
Purpose of the Study:
- To review recent advances in atomic-level engineering of LNs for cancer theranostics.
- To discuss various engineering strategies and their impact on theranostic performance.
- To evaluate the advantages, limitations, and clinical translation challenges of engineered LNs.
Main Methods:
- Comprehensive literature review of atomic-level engineering strategies for LNs.
- Analysis of five key engineering approaches: crystal phase, defect, heteroatom doping, interlayer spacing, and crystalline-to-amorphous phase engineering.
- Discussion of synthetic methods, mechanisms, and theranostic applications (photothermal conversion, ROS generation, multimodal imaging).
Main Results:
- Atomic-level engineering significantly enhances LN properties for cancer theranostics.
- Specific strategies optimize photothermal conversion, reactive oxygen species generation, and multimodal imaging capabilities.
- Evaluation of advantages and limitations provides a balanced view of strategy applicability.
Conclusions:
- Atomic-level engineering is crucial for advancing LN-based cancer theranostics.
- Addressing challenges in structural stability, biosafety, and scalability is vital for clinical translation.
- Future research should focus on intelligent, adaptive, and personalized LN nanomedicines for precision oncology.
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