A novel multimode sensor showing cation-dependent fluorescence colour

Literature Information

Publication Date 2017-10-04
DOI 10.1039/C7CP05734B
Impact Factor 3.676
Authors

Ryo Ishimura, Atsushi Nakagawa


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Abstract

A novel sensor, 4-[2-(9-anthryl)ethynyl]-1,10-phenanthroline (1), exhibits highly intense fluorescent in the wavelength region of 440–600 nm (maximum wavelength (λf) = 470 nm) with the quantum yield (Φf) and lifetime (τf) being 0.90 and 4.2 ns, respectively, in CH3CN at 298 K. In the presence of a divalent cation (M2+ = Ba2+, Ca2+, Mg2+, or Zn2+) in CH3CN, sensor 1 can tightly bind M2+ and shows intense fluorescent (Φf = 0.90–0.19, τf = 2.1–6.9 ns) with the color being dependent on the nature of M2+ (λf = 514–584 nm). The results demonstrate that a single fluorescent sensor 1 is capable of simultaneous identification and quantitation of M2+ based on λf and the fluorescent intensity (Φf), respectively. The fluorescence maximum energy of the [1–M2+] complex is shown to correlate linearly with the pKa value of M2+. The spectroscopic and photophysical properties of sensor 1 in the absence and presence of M2+ are also discussed.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

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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