The unique optical characteristics of lanthanides (Ln) such as high color purity, long excited-state lifetimes, less perturbation of excited states by the crystal field environment, and the easy spectral conversion of wavelengths through upconversion and downconversion processes have caught the attention of many scientists in the recent past. To broaden the scope of using these properties, it is important to make suitable Ln-doped materials, particularly in colloidal forms. In this feature article, we discuss the different synthesis strategies for making Ln-doped nanoparticles in colloidal forms, particularly ways of functionalizing hydrophobic surfaces to hydrophilic surfaces to enhance their dispersibility and luminescence in aqueous media. We have enumerated the various strategies and sensitizers utilized to increase the luminescence of the nanoparticles. Furthermore, the use of these colloidal nanoparticle systems in sensing application by the appropriate selection of capping ligands has been discussed. In addition, we have shown how the energy transfer efficiency from Ce to Ln ions can be utilized for the detection of toxic metal ions and small molecules. Finally, we discuss examples where the spectral conversion ability of these materials has been used in photocatalysis and solar cell applications.
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http://dx.doi.org/10.1021/acs.langmuir.8b01593 | DOI Listing |
ACS Omega
December 2024
School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430063, China.
Solar photovoltaic (PV) conversion has become a key area in today's energy supply. However, incomplete utilization of the PV cell bandgap results in the conversion of photon energy outside the bandgap into waste heat, reducing the overall efficiency. Improving spectral utilization efficiency and mitigating the effects of PV waste heat are top priorities.
View Article and Find Full Text PDFJ Mater Chem B
January 2025
Liaoning & Shenyang Key Laboratory of Functional Dye and Pigment, Shenyang University of Chemical Technology, Shenyang, China.
A pair of aza-BODIPY isomers, 1,7-di--butyl-3,5-dinaphthyl (Nap-BDP) and 1,7-dinaphthyl-3,5-di--butyl (revNap-BDP), were prepared in this study. According to the single crystal X-ray analysis, Nap-BDP exhibited an orthogonal structure. Owing to the difference in orthogonality and -Bu rotation between Nap-BDP and revNap-BDP, their spectral performances, including maximum absorption and emission, full width at half maximum, fluorescence quantum yield, photostability, singlet oxygen generation and photothermal conversion efficiency, were obviously different.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Lin'an 311300, China.
As a member of the chalcogenide family, NiSe exhibits a direct bandgap of 1.74 eV, making it a promising candidate for nonlinear optical devices. However, its potential in the near-infrared region of the telecommunication band has not been fully explored.
View Article and Find Full Text PDFSci Rep
December 2024
School of Electronic Information and Electrical Engineering, Yangtze University, Jingzhou, 434100, Hubei, China.
Emotions play a crucial role in human thoughts, cognitive processes, and decision-making. EEG has become a widely utilized tool in emotion recognition due to its high temporal resolution, real-time monitoring capabilities, portability, and cost-effectiveness. In this paper, we propose a novel end-to-end emotion recognition method from EEG signals, called MSDCGTNet, which is based on the Multi-Scale Dynamic 1D CNN and the Gated Transformer.
View Article and Find Full Text PDFAnal Chem
December 2024
Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, Siming South Road 422, Xiamen 361005, China.
Proton (H) NMR spectroscopy presents a powerful tool for biomass mixture studies by revealing the involved chemical compounds with identified ingredients and molecular structures. However, conventional H NMR generally suffers from spectral congestion when measuring biomass mixtures, particularly biomass carbohydrate samples, that contain various physically and chemically similar compounds. In this study, a targeted detection NMR approach, DREAMTIME, is exploited for studying biomass carbohydrate mixtures by spectroscopically targeting the desired compounds in separate 1D NMR spectra.
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