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Tiny 2D silicon quantum sheets: a brain photonic nanoagent for orthotopic glioma theranostics
- Source :
- Science Bulletin. 66:147-157
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- We report that atomically thin two-dimensional silicon quantum sheets (2D Si QSs), prepared by a scalable approach coupling chemical delithiation and cryo-assisted exfoliation, can serve as a high-performance brain photonic nanoagent for orthotopic glioma theranostics. With the lateral size of approximately 14.0 nm and thickness of about 1.6 nm, tiny Si QSs possess high mass extinction coefficient of 27.5 L g−1 cm−1 and photothermal conversion efficiency of 47.2% at 808 nm, respectively, concurrently contributing to the best photothermal performance among the reported 2D mono-elemental materials (Xenes). More importantly, Si QSs with low toxicity maintain the trade-off between stability and degradability, paving the way for practical clinical translation in consideration of both storage and action of nanoagents. In vitro Transwell filter experiment reveals that Si QSs could effectively go across the bEnd.3 cells monolayer. Upon the intravenous injection of Si QSs, orthotopic brain tumors are effectively inhibited under the precise guidance of photoacoustic imaging, and the survival lifetime of brain tumor-bearing mice is increased by two fold. Atomically thin Si QSs with strong light-harvesting capability are expected to provide an effective and robust 2D photonic nanoplatform for the management of brain diseases.
- Subjects :
- Multidisciplinary
Materials science
Silicon
business.industry
Photoacoustic imaging in biomedicine
chemistry.chemical_element
Molar absorptivity
Photothermal therapy
010502 geochemistry & geophysics
medicine.disease
01 natural sciences
chemistry
Glioma
Monolayer
medicine
Optoelectronics
Photonics
business
Quantum
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 20959273
- Volume :
- 66
- Database :
- OpenAIRE
- Journal :
- Science Bulletin
- Accession number :
- edsair.doi...........4370a621a1daa28848b5909d356f48f0