Molecular Location Sensing Approach by Anisotropic Magnetism of an Endohedral Metallofullerene.

Location recognition at the molecular scale provides valuable information about the nature of functional molecular materials. This study presents a novel location sensing approach based on an endohedral metallofullerene, Ce@C, using its anisotropic magnetic properties, which lead to temperature-depe...

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Publicado en:Journal of the American Chemical Society Vol. 138; no. 25; pp. 8000 - 8007
Autores principales: Yuta Takano, Ryo Tashita, Mitsuaki Suzuki, Shigeru Nagase, Hiroshi Imahori, Takeshi Akasaka
Formato: Artículo
Publicado: American Chemical Society 6/29/2016
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: 6/29/2016
      vid: 138
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      pub: American Chemical Society
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        116882217
        10.1021/jacs.6b04037
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        atl: Molecular Location Sensing Approach by Anisotropic Magnetism of an Endohedral Metallofullerene.
      aug:
        au:
          Yuta Takano
          Ryo Tashita
          Mitsuaki Suzuki
          Shigeru Nagase
          Hiroshi Imahori
          Takeshi Akasaka
        affil:
          Institute for Integrated Cell-Material Sciences (WPI-iCeMS), Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan
          TLife Science Center of Tsukuba Advanced Research Alliance, University of Tsukuba, Tsukuba, Ibaraki 305-8577, Japan
          Department of Chemistry, Tokyo Gakugei University, Tokyo 184-8501, Japan
          Yukui Institute for Fundamental Chemistry, Kyoto University, Sakyo-ku, Kyoto 606-8103, Japan
          Department of Molecular Engineering, Graduate School of Engineering, Kyoto University, Nishikyo-ku, Kyoto 615-8510, Japan
          State Key Laboratory of Materials Processing and Die & Mold Technology, School of Materials Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
          Foundation for Advancement of International Science, Tsukuba, Ibaraki 305-0821, Japan
      su:
        Metallofullerenes
        Anisotropic crystals
        Enhanced magnetoresistance
        Density functional theory
        Magnetic anisotropy
        Gaussian channels
      sug:
        subj:
          Metallofullerenes
          Anisotropic crystals
          Enhanced magnetoresistance
          Density functional theory
          Magnetic anisotropy
          Gaussian channels
      ab: Location recognition at the molecular scale provides valuable information about the nature of functional molecular materials. This study presents a novel location sensing approach based on an endohedral metallofullerene, Ce@C, using its anisotropic magnetic properties, which lead to temperature-dependent paramagnetic shifts in H NMR spectra. Five site-isomers of Ce@CCH-3,5-CHMe were synthesized to demonstrate the spatial sensing ability of Ce@C. Single-crystal structures, absorption spectra, and density functional theory calculations were used to select the plausible addition positions in the radical coupling reaction, which preferentially happens on the carbon atoms with high electron density of the singly occupied molecular orbital (SOMO) and positive charge. Temperature-dependent NMR measurements demonstrated unique paramagnetic shifts of the 1H peaks, which were derived from the anisotropic magnetism of the f-electron in the Ce atom of the isomers. It was found that the magnetic anisotropy axes can be easily predicted by theoretical calculations using the Gaussian 09 package. Further analysis revealed that the temperature-dependent trend in the shifts is clearly predictable from the distance and relative position of the proton from the Ce atom. Hence, the Ce-encapsulated metallofullerene Ce@C can provide spatial location information about nearby atoms through the temperature-dependent paramagnetic shifts of its NMR signals. It can act as a molecular probe for location sensing by utilizing the anisotropic magnetism of the encapsulated Ce atom. The potentially low toxicity and stability of the endohedral fullerene would make Ce@C suitable for applications in biology and material science.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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          year: 2016
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