The spectral heterogeneity and size distribution of the carbon dots derived from time-resolved fluorescence studies

Literature Information

Publication Date 2016-10-06
DOI 10.1039/C6CP05813B
Impact Factor 3.676
Authors

Ying-Feng Hsu, Yu-Hsun Chen, Chih-Wei Chang


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Abstract

We performed comprehensive studies on the photoluminescence properties of the carbon dots prepared from citric acid (C-dotsCA) and citric acid + ethylenediamine (C-dotsCA+EDA). The cryogenic experiment confirmed that the excitation dependent fluorescence and the spectral relaxation dynamics of the C-dots are associated with the presence of multiple emissive states/species in the C-dots instead of solvation dynamics. Moreover, we also compared the size of the C-dots estimated from the TEM/AFM images and fluorescence anisotropy methods. The experimental results indicate that the fluorescence anisotropy method not only avoids the formation of aggregates during the sample preparation processes, but also selectively detects the size of emissive C-dots in the solution. Therefore, the fluorescence anisotropy method is ideal for studying the size dependent optical properties of the C-dots.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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