• Chemical Process Engineering

Laboratory of Organic Reaction

Main Research Theme
Development of functional molecular materials based on polyketones 　Reaction analysis using machine learning 　Synthesis of contracted porphyrinoids 　Electroorganic Synthesis 　Fixation of Carbon Dioxide
Research Field
Organic Synthesis,　 Supramolecular Chemistry,　 Photochemistry,　 Coordination Chemistry,　 Electroorganic Chemistry
Keyword
Polyketone, Porphyrin, Machine learning, Crystallography Porous complexes, Luminescent materials, Electroorganic synthesis, Electrochemical redox reaction 　Electrochemical fixation of carbon dioxide 　Synthesis of carboxylic acid

Japanese Page

PI Yasuhide Inokuma Professor

PI message

We can create novel molecules and seek their functions and significance! Organic chemistry has the power to embody our flexible ideas to produce useful materials in the world. This academic field is continuously developing with cutting-edge technologies such as machine learning. Would you like to join us to study the world’s most advanced organic chemistry?

research

Our research theme is precise synthesis of molecular structure to induce novel functional molecules. The fundamental concept “molecular ropes” derived from polyketones can be extrapolated to the synthesis of luminescent materials, ion trapping materials, and unexplored molecules by manipulation in the molecular level. In addition, we are expanding the possibilities of organic chemistry by applying electrochemistry and machine learning to develop the environment-friendly reactions using CO2 and for the efficient exploration of new materials.

member

  • Yasuhide Inokuma
    Professor
    Research Field
    Structural organic chemistry, Coordination chemistry, Supramolecular Chemistry, Machine Learning
  • Hisanori Senboku
    Associate Professor
    Research Field
    Synthetic Organic Chemistry, Electroorganic Chemistry, Organic Electron-transfer Chemistry
  • Yuki Ide
    Specially Appointed Assistant Professor (WPI-ICReDD)
    Research Field
    Chemistry using machine learning, Calculation chemistry, Structural organic chemistry

Main Research Achievements

  • Y. Inaba, Y. Nomata, Y. Ide, J. Pirillo, Y. Hijikata, T. Yoneda, A. Osuka, J. L. Sessler, Y. Inokuma, J. Am. Chem. Soc. 2021, 143, 12355-12360.
    DOI: 10.1021/jacs.1c06331
  • Y. Inaba, Y. Kakibayashi, Y. Ide, J. Pirillo, Y. Hijikata, T. Yoneda, Y. Inokuma, Chem. Eur. J. 2022, 28, e202200056
    DOI: 10.1002/chem.202200056
  • N. Ozawa, K. I. Shivakumar, M. Murugavel, Y. Inaba, T. Yoneda, Y. Ide, J. Pirillo, Y. Hijikata, Y. Inokuma, Commun. Chem, 2022, 58, 2971–2974.
    DOI: 10.1039/D2CC00361A
  • Y. Manabe, K. Wada, Y. Baba, T. Yoneda, T. Ogoshi, Y. Inokuma, Org. Lett. 2020, 22, 3224-3228.
    DOI: 10.1021/acs.orglett.0c01010
  • Y. Manabe, M. Uesaka, T. Yoneda, Y. Inokuma, J. Org. Chem. 2019, 84, 9957–9964.
    DOI: 10.1021/acs.joc.9b01119
  • M. Uesaka, Y. Saito, S. Yoshioka, Y. Domoto, M. Fujita, Y. Inokuma, Commun. Chem, 2018, 1, Article Number 23.
    DOI: 10.1038/s42004-018-0021-3
  • H. Senboku, Y. Minemura, Y. Suzuki, H. Matsuno, M. Takakuwa, J. Org. Chem. 2021, 86, 16077–16083.
    DOI: 10.1021/acs.joc.1c01516
  • H. Senboku, Chem. Rec. 2021, 21, 2354-2374.
    DOI: 10.1002/tcr.202100081
  • H. Senboku, A. Katayama, Current Opinion in Green and Sustainable Chemistry. 2017, 3, 50-54.
    DOI: 10.1016/j.cogsc.2016.10.003
  • H. Senboku, K. Sakai, A. Fukui, Y. Sato, Y. Yamauchi, ChemElectroChem. 2019, 6, 4158-4164.
    DOI: 10.1002/celc.201900200

Contact

  • Dr. Yasuhide Inokuma
    inokuma(at)eng.hokudai.ac.jp
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