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Three-dimensional WS2nanosheet networks for H2O2produced for cell signaling
- Source :
- Nanoscale. 8:5786-5792
- Publication Year :
- 2016
- Publisher :
- Royal Society of Chemistry (RSC), 2016.
-
Abstract
- Hydrogen peroxide (H2O2) is an important molecular messenger for cellular signal transduction. The capability of direct probing of H2O2 in complex biological systems can offer potential for elucidating its manifold roles in living systems. Here we report the fabrication of three-dimensional (3D) WS2 nanosheet networks with flower-like morphologies on a variety of conducting substrates. The semiconducting WS2 nanosheets with largely exposed edge sites on flexible carbon fibers enable abundant catalytically active sites, excellent charge transfer, and high permeability to chemicals and biomaterials. Thus, the 3D WS2-based nano-bio-interface exhibits a wide detection range, high sensitivity and rapid response time for H2O2, and is capable of visualizing endogenous H2O2 produced in living RAW 264.7 macrophage cells and neurons. First-principles calculations further demonstrate that the enhanced sensitivity of probing H2O2 is attributed to the efficient and spontaneous H2O2 adsorption on WS2 nanosheet edge sites. The combined features of 3D WS2 nanosheet networks suggest attractive new opportunities for exploring the physiological roles of reactive oxygen species like H2O2 in living systems.
- Subjects :
- Cell signaling
Materials science
Biocompatible Materials
Nanotechnology
Biosensing Techniques
02 engineering and technology
010402 general chemistry
01 natural sciences
Catalysis
Permeability
Mice
Imaging, Three-Dimensional
Adsorption
Catalytic Domain
Animals
Enhanced sensitivity
General Materials Science
Rapid response
Nanosheet
Neurons
Macrophages
Temperature
Reproducibility of Results
Hydrogen Peroxide
021001 nanoscience & nanotechnology
Cellular signal transduction
Nanostructures
0104 chemical sciences
Living systems
RAW 264.7 Cells
Nanoparticles
0210 nano-technology
Signal Transduction
Subjects
Details
- ISSN :
- 20403372 and 20403364
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- Nanoscale
- Accession number :
- edsair.doi.dedup.....fb2a499a4ea395bd12fa2e4cd8ed25e9
- Full Text :
- https://doi.org/10.1039/c5nr09236a