Photocatalytic Reactive Oxygen Species Formation by Semiconductor–Metal Hybrid Nanoparticles. Toward Light-Induced Modulation of Biological Processes
Autor: | Hermona Soreq, Gilli Moshitzky, Yuval Ben-Shahar, Michael Galchenko, Nir Waiskopf, Inbal Carmel, Uri Banin |
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Rok vydání: | 2016 |
Předmět: |
Light
Radical Metal Nanoparticles Nanoparticle Bioengineering 02 engineering and technology 010402 general chemistry Photochemistry 01 natural sciences Horseradish peroxidase chemistry.chemical_compound General Materials Science Hydrogen peroxide Horseradish Peroxidase Biological Phenomena Hydrogen production chemistry.chemical_classification Reactive oxygen species biology Chemistry Mechanical Engineering General Chemistry 021001 nanoscience & nanotechnology Condensed Matter Physics 0104 chemical sciences Semiconductors biology.protein Photocatalysis Water splitting Reactive Oxygen Species 0210 nano-technology |
Zdroj: | Nano Letters. 16:4266-4273 |
ISSN: | 1530-6992 1530-6984 |
DOI: | 10.1021/acs.nanolett.6b01298 |
Popis: | Semiconductor-metal hybrid nanoparticles manifest efficient light-induced spatial charge separation at the semiconductor-metal interface, as demonstrated by their use for hydrogen generation via water splitting. Here, we pioneer a study of their functionality as efficient photocatalysts for the formation of reactive oxygen species. We observed enhanced photocatalytic activity forming hydrogen peroxide, superoxide, and hydroxyl radicals upon light excitation, which was significantly larger than that of the semiconductor nanocrystals, attributed to the charge separation and the catalytic function of the metal tip. We used this photocatalytic functionality for modulating the enzymatic activity of horseradish peroxidase as a model system, demonstrating the potential use of hybrid nanoparticles as active agents for controlling biological processes through illumination. The capability to produce reactive oxygen species by illumination on-demand enhances the available peroxidase-based tools for research and opens the path for studying biological processes at high spatiotemporal resolution, laying the foundation for developing novel therapeutic approaches. |
Databáze: | OpenAIRE |
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