Details of the Researcher

PHOTO

Takatoshi Matsumoto
Section
Institute of Multidisciplinary Research for Advanced Materials
Job title
Assistant Professor
Degree
  • 博士(薬学) (Nagoya City University)

Education 2

  • Nagoya City University Graduate School, Division of Pharmaceutical Sciences 薬品合成化学専攻

    - 1996/09/30

  • Nagoya City University Faculty of Pharmaceutical Science 製薬学科

    - 1991/03/25

Professional Memberships 4

  • Society of Computer Chemistry, Japan

  • 電気化学会

  • 日本薬学会

  • 日本化学会

Research Interests 3

  • Reaction Analysis

  • Battery

  • Computational Chemistry

Research Areas 1

  • Informatics / Information theory / Physical Chemistry

Papers 117

  1. Potential energy curve for singlet-oxygen quenching reaction by vitamin E Peer-reviewed

    Tomohiko Tasaka, Takatoshi Matsumoto, Umpei Nagashima, Shin-ichi Nagaoka

    Journal of Photochemistry and Photobiology A: Chemistry 114749-114749 2023/04

    Publisher: Elsevier BV

    DOI: 10.1016/j.jphotochem.2023.114749  

    ISSN: 1010-6030

  2. Solvent effect on activities of aryloxyl-radical scavenging and singlet-oxygen quenching reactions by vitamin E: Addition of water to ethanol solution International-journal Peer-reviewed

    Shin-ichi Nagaoka, Nanaho Nomoto, Tomohiko Tasaka, Umpei Nagashima, Takatoshi Matsumoto, Keishi Ohara

    International Journal of Chemical Kinetics 54 (10) 570-576 2022/10

    Publisher: Wiley

    DOI: 10.1002/kin.21596  

    ISSN: 0538-8066

    eISSN: 1097-4601

  3. Distribution and Structures of Cobaltous Aqua and Chloro Complexes Determined Through Thermodynamic Model Analysis and Validated by ab-initio Calculation Peer-reviewed

    Masahito UCHIKOSHI, Kozo SHINODA, Takatoshi MATSUMOTO

    Adv. X-Ray. Chem. Anal., Japan 53 97-117 2022/01/24

  4. Theoretical and Experimental Evaluation of the Reduction Potential of Straight-Chain Alcohols for the Designed Synthesis of Bimetallic Nanostructures Peer-reviewed

    Masanao Ishijima, Takatoshi Matsumoto, Jhon L. Cuya Huaman, Kozo Shinoda, Masahito Uchikoshi, Kohei Matsuo, Kazumasa Suzuki, Hiroshi Miyamura, Jeyadevan Balachandran

    Inorganic Chemistry 60 (13) 9432-9441 2021/07/05

    Publisher: American Chemical Society (ACS)

    DOI: 10.1021/acs.inorgchem.1c00476  

    ISSN: 0020-1669

    eISSN: 1520-510X

  5. Selection Criteria for Metal Precursors and Solvents for Targeted Synthesis of Metallic Nanostructures Via Kinetic Control in the Polyol Process Peer-reviewed

    Hisashi Kaneko, Takatoshi Matsumoto, Jhon L. Cuya Huaman, Masanao Ishijima, Kazumasa Suzuki, Hiroshi Miyamura, Jeyadevan Balachandran

    Inorganic Chemistry 60 (5) 3025-3036 2021/03/01

    Publisher: American Chemical Society (ACS)

    DOI: 10.1021/acs.inorgchem.0c03266  

    ISSN: 0020-1669

    eISSN: 1520-510X

  6. Pt distribution-controlled Ni–Pt nanocrystals via an alcohol reduction technique for the oxygen reduction reaction Peer-reviewed

    Kaneyuki Taniguchi, Jhon L. Cuya Huaman, Daichi Iwata, Shun Yokoyama, Takatoshi Matsumoto, Kazumasa Suzuki, Hiroshi Miyamura, Jeyadevan Balachandran

    New Journal of Chemistry 45 (25) 11183-11191 2021

    Publisher: Royal Society of Chemistry (RSC)

    DOI: 10.1039/d1nj01360b  

    ISSN: 1144-0546

    eISSN: 1369-9261

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    <p>The catalytic performance and durability of Ni–Pt alloy nanoparticles synthesized using an alcohol reduction technique were enhanced by controlling the metallic Pt distribution.</p>

  7. Magneto-Plasmonic Co@Pt@Au Nanocrystals for Biosensing and Therapeutics Peer-reviewed

    Mayu Katagiri, Jhon L. Cuya Huaman, Takatoshi Matsumoto, Kazumasa Suzuki, Hiroshi Miyamura, Jeyadevan Balachandran

    ACS Applied Nano Materials 3 (1) 418-427 2020/01/24

    Publisher: American Chemical Society (ACS)

    DOI: 10.1021/acsanm.9b02040  

    ISSN: 2574-0970

    eISSN: 2574-0970

  8. UV-visible spectral analysis for the characterization of the titanium(iv)–4-(2-pyridylazo)resorcinol complex as a reagent for determining hydrogen peroxide Peer-reviewed

    Kiyoko Takamura, Takatoshi Matsumoto

    Dalton Transactions 49 (3) 690-696 2020

    Publisher: Royal Society of Chemistry (RSC)

    DOI: 10.1039/c9dt04078a  

    ISSN: 1477-9226

    eISSN: 1477-9234

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    <p>Titanium(<sc>iv</sc>)–4-(2-pyridylazo)resorcinol (Ti–PAR) has been effectively used for the determination of hydrogen peroxide.</p>

  9. Separation of halogenated benzenes enabled by investigation of halogen–π interactions with carbon materials Peer-reviewed

    Eisuke Kanao, Takuya Morinaga, Takuya Kubo, Toyohiro Naito, Takatoshi Matsumoto, Tomoharu Sano, Hideshi Maki, Mingdi Yan, Koji Otsuka

    Chemical Science 11 (2) 409-418 2020

    Publisher: Royal Society of Chemistry (RSC)

    DOI: 10.1039/c9sc04906a  

    ISSN: 2041-6520

    eISSN: 2041-6539

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    <p>We report the existence of bimodal interactions, the π–π and halogen–π interactions, between the halogenated benzenes and aromatic materials.</p>

  10. Differentiating pi Interactions by Constructing Concave/Convex Surfaces Using a Bucky Bowl Molecule, Corannulene in Liquid Chromatography Peer-reviewed

    Eisuke Kanao, Takuya Kubo, Toyohiro Naito, Takatoshi Matsumoto, Tomoharu Sano, Mingdi Yan, Koji Otsuka

    ANALYTICAL CHEMISTRY 91 (3) 2439-2446 2019/02

    DOI: 10.1021/acs.analchem.8b05260  

    ISSN: 0003-2700

    eISSN: 1520-6882

  11. Designed synthesis of highly catalytic Ni-Pt nanoparticles for fuel cell applications Peer-reviewed

    Kaneyuki Taniguchi, Kozo Shinoda, Jhon L. Cuya Huaman, Shun Yokoyama, Masahito Uchikoshi, Takatoshi Matsumoto, Kazumasa Suzuki, Hiroshi Miyamura, Balachandran Jeyadevan

    SN Applied Sciences 1 (1) 124-1-124-12 2019

    Publisher: Springer Science and Business Media LLC

    DOI: 10.1007/s42452-018-0133-5  

    ISSN: 2523-3963

    eISSN: 2523-3971

  12. Isotope Effects on Hydrogen Bonding and CH/CD-pi Interaction Peer-reviewed

    Eisuke Kanao, Takuya Kubo, Toyohiro Naito, Takatoshi Matsumoto, Tomoharu Sano, Mingdi Yan, Koji Otsuka

    JOURNAL OF PHYSICAL CHEMISTRY C 122 (26) 15026-15032 2018/07

    DOI: 10.1021/acs.jpcc.8b04144  

    ISSN: 1932-7447

  13. Design of monoalcohol – Copolymer system for high quality silver nanowires Peer-reviewed

    Author linkShintaro Sugiyama, Shun Yokoyama, Jhon, L.Cuya Huaman, Shohei Ida, Takatoshi Matsumoto, Daisuke Kodama, Kimitaka Sato, Hiroshi Miyamura, Yoshitsugu Hirokawa, Jeyadevan Balachandrans open overlay panelShintaroSugiyamaaShunYokoyamabJhon, L.Cuya HuamanaShoheiIdaaTakatoshiMatsumotocDaisukeKodamadKimitakaSatodHiroshiMiyamuraaYoshitsuguHirokawaaJeyadevanBalachandran

    J. Colloid Interface Sci. 527 315-327 2018

  14. A Practical Synthesis of 5-Substituted 1H-Tetrazoles from Aldoximes employing Azide Anion from Diphenyl Phosphorazidate Peer-reviewed

    Kotaro Ishihara, Mayumi Kawashima, Takatoshi Matsumoto, Takayuki Shioiri, Masato Matsugi

    SYNTHESIS 50 1293-1300 2018

  15. Specific Intermolecular Interactions by the Localized pi-Electrons in C-70-fullerene Peer-reviewed

    Takuya Kubo, Eisuke Kanao, Takatoshi Matsumoto, Toyohiro Naito, Tomoharu Sano, Mingdi Yan, Koji Otsuka

    CHEMISTRYSELECT 1 (18) 5900-5904 2016/11

    DOI: 10.1002/slct.201601470  

    ISSN: 2365-6549

  16. Towards a designed synthesis of metallic nanoparticles in polyols - elucidation of the redox scheme in a cobalt-ethylene glycol system Peer-reviewed

    Kazuma Takahashi, Shun Yokoyama, Takatoshi Matsumoto, Jhon L. Cuya Huaman, Hisashi Kaneko, Jean-Yves Piquemal, Hiroshi Miyamura, Jeyadevan Balachandran

    NEW JOURNAL OF CHEMISTRY 40 (10) 8632-8642 2016

    DOI: 10.1039/c6nj01738j  

    ISSN: 1144-0546

    eISSN: 1369-9261

  17. Refined Structure of Hipposudoric and Norhipposudoric Acids, Pigments of the Red Sweat of the Hippopotamus Peer-reviewed

    Takatoshi Matsumoto, Yoko Saikawa, Masaya Nakata, Kimiko Hashimoto

    CHEMISTRY LETTERS 44 (12) 1738-1740 2015/12

    DOI: 10.1246/cl.150846  

    ISSN: 0366-7022

    eISSN: 1348-0715

  18. Formation of Pt decorated Ni-Pt nanocubes through low temperature atomic diffusion - time-resolved elemental analysis of nanoparticle formation Peer-reviewed

    A. Nagao, K. Higashimine, J. L. Cuya Huaman, T. Iwamoto, T. Matsumoto, Y. Inoue, S. Maenosono, H. Miyamura, B. Jeyadevan

    NANOSCALE 7 (21) 9927-9934 2015

    DOI: 10.1039/c5nr01816a  

    ISSN: 2040-3364

    eISSN: 2040-3372

  19. Dissolution and reduction of cobalt ions in the polyol process using ethylene glycol: identification of the active species and its role Peer-reviewed

    Takatoshi Matsumoto, Kazuma Takahashi, Keisuke Kitagishi, Kozo Shinoda, Jhon L. Cuya Huaman, Jean-Yves Piquemal, Balachandran Jeyadevan

    NEW JOURNAL OF CHEMISTRY 39 (6) 5008-5018 2015

    DOI: 10.1039/c5nj00669d  

    ISSN: 1144-0546

    eISSN: 1369-9261

  20. Large-scale synthesis of ITO nanoparticles in an alcohol system assisted by acids Peer-reviewed

    Jhon L. Cuya Huaman, Koji Tanoue, Hiroshi Miyamura, Takatoshi Matsumoto, Balachandran Jeyadevan

    NEW JOURNAL OF CHEMISTRY 38 (8) 3421-3428 2014/08

    DOI: 10.1039/c4nj00061g  

    ISSN: 1144-0546

    eISSN: 1369-9261

  21. Novel nickel-palladium catalysts encased in a platinum nanocage Peer-reviewed

    Balachandran Jeyadevan, Jhon L. Cuya, Yoshinori Inoue, Kozo Shinoda, Takashi Ito, Derrick Mott, Koichi Higashimine, Shinya Maenosono, Takatoshi Matsumotob, Hiroshi Miyamuraa

    RSC ADVANCES 4 (51) 26667-26672 2014

    DOI: 10.1039/c4ra03091e  

    ISSN: 2046-2069

  22. Photo-excitation energy transfer between a titanium(IV)-porphyrin complex and oxygen molecule Peer-reviewed

    Takatoshi Matsumoto, Kiyoko Takamura

    ANALYTICAL METHODS 4 (12) 4289-4294 2012

    DOI: 10.1039/c2ay25683e  

    ISSN: 1759-9660

    eISSN: 1759-9679

  23. Effect of photo-oxidation of ascorbic acid on the determination of hydrogen peroxide and 3-hydroxybutyric acid using the titanium(IV)-porphyrin reagent Peer-reviewed

    Kiyoko Takamura, Chiyo Matsubara, Takatoshi Matsumoto

    ANALYTICAL METHODS 3 (2) 328-333 2011/02

    DOI: 10.1039/c0ay00565g  

    ISSN: 1759-9660

    eISSN: 1759-9679

  24. Synthesis of copper nanoparticles by polyol/alcohol reduction method Peer-reviewed

    Jhon L. Cuya Huaman, Kimitaka Sato, Satoru Kurita, Takatoshi Matsumoto, Hiroshi Miyamura, Jeyadevan Balachandran

    Materials Research Society Symposium Proceedings 1400 60-65 2011

    DOI: 10.1557/opl.2012.144  

    ISSN: 0272-9172

  25. Copper nanoparticles synthesized by hydroxyl ion assisted alcohol reduction for conducting ink Peer-reviewed

    Jhon L. Cuya Huaman, Kimitaka Sato, Satoshi Kurita, Takatoshi Matsumoto, Balachandran Jeyadevan

    JOURNAL OF MATERIALS CHEMISTRY 21 (20) 7062-7069 2011

    DOI: 10.1039/c0jm04470a  

    ISSN: 0959-9428

    eISSN: 1364-5501

  26. Oxidation of unsaturated carboxylic acids under hydrothermal conditions Peer-reviewed

    Fangming Jin, Heng Zhong, Jianglin Cao, Jianxun Cao, Kohei Kawasaki, Astushi Kishita, Takatoshi Matsumoto, Kazuyuki Tohji, Heiji Enomoto

    BIORESOURCE TECHNOLOGY 101 (19) 7624-7634 2010/10

    DOI: 10.1016/j.biortech.2010.04.056  

    ISSN: 0960-8524

  27. (R)-2-Benzyl-4-methylpentyl (R)-2-methoxy-2-(1-naphthyl)propionate Peer-reviewed

    Yoshinori Inoue, Takatoshi Matsumoto, Masataka Watanabe, Hiroshi Katagiri, Tsutomu Kumagai

    ACTA CRYSTALLOGRAPHICA SECTION E-STRUCTURE REPORTS ONLINE 66 O1665-U233 2010/07

    DOI: 10.1107/S160053681002101X  

    ISSN: 1600-5368

  28. Conformation and absolute configuration of (1S,2S)-2-(phenylselanyl)cyclohexyl (R)-2-methoxy-2-(1-naphthyl)propionate Peer-reviewed

    Satoshi Murakami, Akane Kato, Hiroshi Katagiri, Takatoshi Matsumoto, Tatsuro Kijima

    ACTA CRYSTALLOGRAPHICA SECTION E-STRUCTURE REPORTS ONLINE 66 O1677-U346 2010/07

    DOI: 10.1107/S1600536810022233  

    ISSN: 1600-5368

  29. Synthesis and magnetic properties of platelet Fe-Co particles Peer-reviewed

    Hisanori Hiyama, Daisuke Kodama, Takatoshi Matsumoto, Kozo Shinoda, Ryo Kasuya, Jeyadevan Balachandran

    Journal of Applied Physics 107 (9) 09A329 2010/03

  30. Computational analysis of reaction specificity and characterization of a titanium(iv)-porphyrin reagent for determining hydrogen peroxide

    Kiyoko Takamura, Takatoshi Matsumoto

    Computational Optimization: New Research Developments 63-96 2010/01/01

    Publisher: Nova Science Publishers, Inc.

  31. Ultraviolet-Visible Spectral Analysis for the Reaction of Hydrogen Peroxide with a Titanium(IV)-Porphyrin Reagent Peer-reviewed

    Kiyoko Takamura, Takatoshi Matsumoto

    APPLIED SPECTROSCOPY 63 (5) 579-584 2009/05

    DOI: 10.1366/000370209788346968  

    ISSN: 0003-7028

  32. Esters of 2,5-multisubstituted-1,3-dioxane-2-carboxylic acid: their conformational analysis and selective hydrolysis Peer-reviewed

    Tetsuji Harabe, Takatoshi Matsumoto, Takayuki Shioiri

    TETRAHEDRON 65 (20) 4044-4052 2009/05

    DOI: 10.1016/j.tet.2009.02.076  

    ISSN: 0040-4020

  33. 応用例から見たニューラルネットワークの構築と解析 Invited

    松本 高利

    CICSJ Bulletin 27 (4) 78-86 2009

    DOI: 10.11546/cicsj.27.78  

  34. STUDY OF SYNTHETIC ROUTES FOR THE SPIROKETAL FRAGMENT IN CALYCULIN A BASED ON CONFORMATIONAL ANALYSIS Peer-reviewed

    Takatoshi Matsumoto, Mototsugu Kabeya, Eiichi Morishita, Takayuki Shioiri

    HETEROCYCLES 76 (1) 321-328 2008/09

    ISSN: 0385-5414

  35. Characterization of a titanium(IV)-porphyrin complex as a highly sensitive and selective reagent for the determination of hydrogen peroxide: a computational chemistry approach and a critical review Peer-reviewed

    Kiyoko Takamura, Takatoshi Matsumoto

    ANALYTICAL AND BIOANALYTICAL CHEMISTRY 391 (3) 951-961 2008/06

    DOI: 10.1007/s00216-008-1942-y  

    ISSN: 1618-2642

  36. Reaction specificity of a titanium(IV)-porphyirin complex to hydrogen peroxide in view of an ab initio study Peer-reviewed

    Kiyoko Takamura, Chiyo Matsubara, Takatoshi Matsumoto

    ANALYTICAL SCIENCES 24 (3) 401-404 2008/03

    DOI: 10.2116/analsci.24.401  

    ISSN: 0910-6340

  37. Identification of nano-sized holes by TEM in the graphene layer of graphite and the high rate discharge capability of Li-ion battery anodes Peer-reviewed

    Tsutomu Takamura, Koji Endo, Lijun Fu, Yuping Wu, Kyeong Jik Lee, Takatoshi Matsumoto

    ELECTROCHIMICA ACTA 53 (3) 1055-1061 2007/12

    DOI: 10.1016/j.electacta.2007.03.052  

    ISSN: 0013-4686

  38. Identification of nano-sized holes by TEM in the graphene layer of graphite and the high rate discharge capability of Li-ion battery anodes Peer-reviewed

    Tsutomu Takamura, Koji Endo, Lijun Fu, Yuping Wu, Kyeong Jik Lee, Takatoshi Matsumoto

    ELECTROCHIMICA ACTA 53 (3) 1055-1061 2007/12

    DOI: 10.1016/j.electacta.2007.03.052  

    ISSN: 0013-4686

  39. Evaluation of polyol reduction for wet synthesis of metal nanoparticles Peer-reviewed

    Takatoshi Matsumoto, Kiyoshi Urakawa, R. Justin Joseyphus, Kazuyuki Tohji, Balachandran Jeyadevan

    ELECTROCHEMISTRY 75 (12) 969-975 2007/12

    DOI: 10.5796/electrochemistry.75.969  

    ISSN: 1344-3542

  40. Designed synthesis of cobalt and its alloys by polyol process Peer-reviewed

    R. J. Joseyphus, T. Matsumoto, H. Takahashi, D. Kodama, K. Tohji, B. Jeyadevan

    JOURNAL OF SOLID STATE CHEMISTRY 180 (11) 3008-3018 2007/11

    DOI: 10.1016/j.jssc.2007.07.024  

    ISSN: 0022-4596

    eISSN: 1095-726X

  41. Simple and effective 3D recognition of domoic acid using a molecularly imprinted polymer Peer-reviewed

    Koji Nemoto, Takuya Kubo, Makoto Nomachi, Tomoharu Sano, Takatoshi Matsumoto, Ken Hosoya, Tetsutaro Hattori, Kunimitsu Kaya

    JOURNAL OF THE AMERICAN CHEMICAL SOCIETY 129 (44) 13626-13632 2007/11

    DOI: 10.1021/ja0741426  

    ISSN: 0002-7863

  42. Investigation of macrocyclization sites for the synthesis of dendroamide A - an approach from a conformational search Peer-reviewed

    Takatoshi Matsumoto, Eiichi Morishita, Takayuki Shioiri

    TETRAHEDRON 63 (35) 8571-8575 2007/08

    DOI: 10.1016/j.tet.2007.04.096  

    ISSN: 0040-4020

  43. Investigation of macrocyclization sites for the synthesis of dendroamide A - an approach from a conformational search Peer-reviewed

    Takatoshi Matsumoto, Eiichi Morishita, Takayuki Shioiri

    TETRAHEDRON 63 (35) 8571-8575 2007/08

    DOI: 10.1016/j.tet.2007.04.096  

    ISSN: 0040-4020

  44. Crystalline-state conformational analysis of M alpha NP esters, powerful resolution and chiral H-1 NMR anisotropy tools Peer-reviewed

    Shunsuke Kuwahara, Junpei Naito, Yoko Yamamoto, Yusuke Kasai, Takuma Fujita, Kazutoshi Noro, Kumiko Shimanuki, Megumi Akagi, Miwa Watanabe, Takatoshi Matsumoto, Masataka Watanabe, Akio Ichikawa, Nobuyuki Harada

    EUROPEAN JOURNAL OF ORGANIC CHEMISTRY 11 (11) 1827-1840 2007/04

    DOI: 10.1002/ejoe.200601088  

    ISSN: 1434-193X

  45. Conformational analysis of M alpha NP esters, powerful chiral resolution and H-1 NMR anisotropy tools - Aromatic geometry and solvent effects on Delta delta values Peer-reviewed

    Yusuke Kasai, Akinori Sugio, Satoshi Sekiguchi, Shunsuke Kuwahara, Takatoshi Matsumoto, Masataka Watanabe, Akio Ichikawa, Nobuyuki Harada

    EUROPEAN JOURNAL OF ORGANIC CHEMISTRY 11 (11) 1811-1826 2007/04

    DOI: 10.1002/ejoe.200600856  

    ISSN: 1434-193X

  46. Crystalline-state conformational analysis of M alpha NP esters, powerful resolution and chiral H-1 NMR anisotropy tools Peer-reviewed

    Shunsuke Kuwahara, Junpei Naito, Yoko Yamamoto, Yusuke Kasai, Takuma Fujita, Kazutoshi Noro, Kumiko Shimanuki, Megumi Akagi, Miwa Watanabe, Takatoshi Matsumoto, Masataka Watanabe, Akio Ichikawa, Nobuyuki Harada

    EUROPEAN JOURNAL OF ORGANIC CHEMISTRY 11 (11) 1827-1840 2007/04

    DOI: 10.1002/ejoe.200601088  

    ISSN: 1434-193X

  47. Conformational analysis of M alpha NP esters, powerful chiral resolution and H-1 NMR anisotropy tools - Aromatic geometry and solvent effects on Delta delta values Peer-reviewed

    Yusuke Kasai, Akinori Sugio, Satoshi Sekiguchi, Shunsuke Kuwahara, Takatoshi Matsumoto, Masataka Watanabe, Akio Ichikawa, Nobuyuki Harada

    EUROPEAN JOURNAL OF ORGANIC CHEMISTRY 11 (11) 1811-1826 2007/04

    DOI: 10.1002/ejoe.200600856  

    ISSN: 1434-193X

  48. Role of polyol in the synthesis of Fe particles Peer-reviewed

    R. Justin Joseyphus, D. Kodama, T. Matsumoto, Y. Sato, B. Jeyadevan, K. Tohji

    JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS 310 (2) 2393-2395 2007/03

    DOI: 10.1016/j.jmmm.2006.10.1132  

    ISSN: 0304-8853

  49. Role of polyol in the synthesis of Fe particles Peer-reviewed

    R. Justin Joseyphus, D. Kodama, T. Matsumoto, Y. Sato, B. Jeyadevan, K. Tohji

    JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS 310 (2) 2393-2395 2007/03

    DOI: 10.1016/j.jmmm.2006.10.1132  

    ISSN: 0304-8853

  50. Conformational analysis and selective hydrolysis of 2,5-disubstituted-1,3-dioxane-2-carboxylic acid esters Peer-reviewed

    Tetsuji Harabe, Takatoshi Matsumoto, Takayuki Shioiri

    TETRAHEDRON LETTERS 48 (8) 1443-1446 2007/02

    DOI: 10.1016/j.tetlet.2006.12.117  

    ISSN: 0040-4039

  51. ストラティファイド光触媒による硫化水素からの水素製造 Peer-reviewed

    田路和幸, 高橋英志, 松本高利

    まてりあ 46 (3) 162-165 2007

    Publisher: The Japan Institute of Metals and Materials

    DOI: 10.2320/materia.46.162  

    ISSN: 1340-2625

  52. Conformational analysis of methyl 2-methyl-2(1-naphthyl)propionate Peer-reviewed

    Takatoshi Matsumoto, Yoshio Kinoshita, Yusuke Kasai, Shunsuke Kuwahara, Masataka Watanabe

    TETRAHEDRON 63 (3) 615-624 2007/01

    DOI: 10.1016/j.tet.2006.11.017  

    ISSN: 0040-4020

  53. Chemical synthesis of sub-micrometer- to nanometer-sized magnetic FeCo dice Peer-reviewed

    Daisuke Kodama, Kozo Shinoda, Kimitaka Sato, Yoshihiro Konno, Raphael J. Joseyphus, Kenichi Motomiya, Hideyuki Takahashi, Takatoshi Matsumoto, Yoshinori Sato, Kazuyuki Tohji, Balachandran Jeyadevan

    ADVANCED MATERIALS 18 (23) 3154-+ 2006/12

    DOI: 10.1002/adma.200601292  

    ISSN: 0935-9648

  54. Polyol process for Fe-based hard(fct-FePt) and soft(FeCo) magnetic nanoparticles Peer-reviewed

    B. Jeyadevan, K. Shinoda, R. J. Justin, T. Matsumot, K. Sato, H. Takahashi, Y. Sato, K. Tohji

    IEEE TRANSACTIONS ON MAGNETICS 42 (10) 3030-3035 2006/10

    DOI: 10.1109/TMAG.2006.880149  

    ISSN: 0018-9464

  55. 化学物質の毒性情報と構造活性相関予測

    田辺和俊, 大森紀人, 小野修一郎, 松本高利, 長嶋雲兵, 上坂博享, 鈴木孝弘

    情報知識学会誌 16 (3) 63-84 2006/04

    Publisher: Japan Society of Information and Knowledge

    DOI: 10.2964/jsik.16.3_63  

    ISSN: 0917-1436

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    Recently, it is globally necessary to collect data on toxicities of numerous chemical substances available in market. But safety tests using animals take huge cost and period, and it is impossible to get toxicity data on all unascertained chemical substances by animal test. Also there are many problems in existing databases which collect toxicity data on chemical substances. As a screening method for animal tests, a toxicity prediction on a basis of quantitative structure-activity relationship (QSAR) is meaningful. Several toxicity prediction systems with QSAR have been developed, but the performances of most existing systems are highly questionable. In order to develop a toxicity prediction system for numerous chemical substances showing a higher performance than those of existing systems, we are applying a neural network technique. Several problems on toxicity information and its QSAR prediction of chemical substances are discussed.

  56. The role of water for photodecomposition of aqueous hydrogen sulfide using stratified photocatalyst - Experimental part Peer-reviewed

    Takeo Arai, Takatoshi Matsumoto, Shuhei Sakima, Kozo Shinoda, Umpei Nagashima, Kazuyuki Tohji

    WATER DYNAMICS 833 104-+ 2006

    ISSN: 0094-243X

  57. Conclusive determination of the absolute configuration of chiral C 60-fullerene cis-3 bisadducts by X-ray crystallography and circular dichroism Peer-reviewed

    Shunsuke Kuwahara, Kazuhiro Obata, Kazuhiro Yoshida, Takatoshi Matsumoto, Nobuyuki Harada, Nobuhiro Yasuda, Yoshiki Ozawa, Koshiro Toriumi

    Angewandte Chemie - International Edition 44 (15) 2262-2265 2005/04/08

    DOI: 10.1002/anie.200462811  

    ISSN: 1433-7851

  58. Development of the Chemical Safety Database System CAESAR Peer-reviewed

    Kazutoshi Tanabe, Norihito Ohmori, Shuichiro Ono, Takatoshi Matsumoto, Takahiro Suzuki

    Journal of Ecotechnology Research 11 (3) 111-116 2005/04

    Publisher: International Association of Ecotechnology Research

    DOI: 10.11190/jer.11.111  

    ISSN: 1881-9982

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    A chemical safety database system named CAESAR (Computer-Aided Evaluation of Chemical Safety with QSAR) has been developed to assess the toxicity for diverse organic compounds. The system contains experimental toxicity data critically reviewed on selected chemical substances, and toxicity data predicted with QSAR models for numerous, diverse chemicals in commerce. As a first step, the carcinogenicity database has been constructed, where experimental carcinogenicity data on about 400 compounds were collected from various sources such as IARC, NTP and others, and their reliabilities were ranked into nine categories. To construct a predictive model of the carcinogenicity for diverse chemicals, 70 kinds of molecular descriptors were calculated from their 3D structures for these compounds, and the relationship between experimental carcinogenicity data and 25 parameters summarized from those descriptors with the principal component analysis was analyzed with an artificial neural network. The performance of the proposed model was assessed by applying the leave-one-out cross validation test. It was found that this method can predict the relative carcinogenicity of diverse chemicals with reasonable accuracy.

  59. 化学物質の地球温暖化リスク評価:第一原理計算による赤外線吸収強度の予測

    田辺和俊, 松本高利, 小野修一郎

    千葉工業大学研究報告-理工編- 52 75 2005/04

  60. ニューラルネットワークによる多種類の有機化合物の発ガン性の予測 Peer-reviewed

    田辺和俊, 大森紀人, 小野修一郎, 鈴木孝弘, 松本高利, 長嶋雲兵, 上坂博享

    Journal of Computer Chemistry, Japan 4 (3) 89-100 2005/04

    Publisher: Society of Computer Chemistry, Japan

    DOI: 10.2477/jccj.4.89  

    ISSN: 1347-1767

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    A three-layered neural network model to predict the hazards of a variety of compounds based on a quantitative structure-activity relationship was developed. The inputs were 10 principal components from 37 kinds of molecular descriptors calculated with MO programs. For the output the data used in the Predictive Toxicology Challenge (PTC) 2000-2001 contest were employed, containing 454 compounds with the carcinogenic activity of male rats. The total database of 454 compounds was split into training (144 compounds), validation (143) and test (167) sets. To solve the problems such as over-training, over-fitting and local minimum in training the neural network with the error-back-propagation algorithm, various conditions of the network such as the training cycles and neuron numbers of the intermediate layer were optimized. The optimum model showed a correct classification rate close to 74 %, higher than any of the PTC contestants.

  61. コンピュータによる赤外スペクトルからの構造推定 Peer-reviewed

    田辺和俊, 松本高利, 伊藤祥司, 上坂博享, 都築誠二, 田村禎夫, 佐伯慎之助, 小野修一郎

    Journal of Computer Chemistry, Japan 4 (1) 1-24 2005/04

    Publisher: Society of Computer Chemistry, Japan

    DOI: 10.2477/jccj.4.1  

    ISSN: 1347-1767

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    Various computer-aided methods are used to estimate chemical structures from infrared spectra: an inductive method using a spectral database, an empirical method using a knowledge base, and a theoretical method using computational chemistry. With an aim to increase an ability for estimating structures from infrared spectra, various computer methods were intensively investigated. At first an inductive method using a spectral database was studied, and several problems were pointed out. Next a linear learning machine and a neural network were applied to estimating functional groups from infrared spectra as an empirical method, and several problems were also mentioned. Third a non-empirical molecular orbital calculation as a theoretical method was applied to examine the agreement between calculated and experimental vibrational frequencies and infrared intensities, and several problems were also underlined. It was concluded that there are many difficulties in estimating chemical structures from infrared spectra with the power of existing computers.

  62. Conclusive Determination of the Absolute Stereochemistry of Chiral C60 Fullerene Bis-Adducts of Cis-3 Type Peer-reviewed

    Shunsuke Kuwahara, Kazuhiro Obata, Kazuhiro Yoshida, Takatoshi Matsumoto, Nobuyuki Harada, Nobuhiro Yasuda, Yoshiki Ozawa, Koshiro Toriumi

    Angewandte Chemie, International Edition 44 (15) 2262-2265 2005/03

  63. Computer Estimation of Chemical Structures from Infrared Spectra Peer-reviewed

    田辺和俊, 松本高利, 伊藤祥司, 上坂博享, 都築誠二, 田村禎夫, 佐伯慎之助, 小野修一郎

    ournal of Computer Chemistry, Japan 4 (1) 1-24 2005/01/23

    Publisher: Society of Computer Chemistry, Japan

    DOI: 10.2477/jccj.4.1  

    ISSN: 1347-1767

    More details Close

    Various computer-aided methods are used to estimate chemical structures from infrared spectra: an inductive method using a spectral database, an empirical method using a knowledge base, and a theoretical method using computational chemistry. With an aim to increase an ability for estimating structures from infrared spectra, various computer methods were intensively investigated. At first an inductive method using a spectral database was studied, and several problems were pointed out. Next a linear learning machine and a neural network were applied to estimating functional groups from infrared spectra as an empirical method, and several problems were also mentioned. Third a non-empirical molecular orbital calculation as a theoretical method was applied to examine the agreement between calculated and experimental vibrational frequencies and infrared intensities, and several problems were also underlined. It was concluded that there are many difficulties in estimating chemical structures from infrared spectra with the power of existing computers.

  64. Neural Network Prediction of Carcinogenicity of Diverse Organic Compounds Peer-reviewed

    Kazutoshi Tanabe, Norihito Ohmori, Shuichiro Ono, talahiro Suzuki, Takatoshi matsumoto, Umpei Nagashima, Hiroyuki Uesaka

    Journal of Ecotechnology Research 10 188 2004/04

  65. Categorical Modeling of the Carcinogenicity of Organic Compounds Using Neural Network Peer-reviewed

    Kazutoshi Tanabe, Norihito Ohmori, Shuichiro Ono, Takahiro Suzuki, Takatoshi Matsumoto, Hiroyuki Uesaka

    Journal of Pharmacy and Pharmacology 56 S65 2004/04

  66. 構造活性相関(QSAR)による化学物質のリスク評価

    田辺和俊, 松本高利, 小野修一郎

    千葉工業大学研究報告(理工編) 51 181 2004/04

  67. 構造活性相関(QSAR)による化学物質のリスク評価

    田辺和俊, 大森紀人, 小野修一郎, 鈴木孝弘, 松本高利, 長嶋雲兵, 上坂博享

    千葉工業大学プロジェクト研究年報 2004年度 144 2004/04

  68. 光触媒を用いた硫黄循環による水素の製造 Peer-reviewed

    荒井武男, 松本高利, 松本博道, 田路和幸

    Journal of the Society of Inorganic Materials, Japan 11 (313) 466-473 2004/04

    Publisher: The Society of Inorganic Materials, Japan

    DOI: 10.11451/mukimate2000.11.466  

    ISSN: 2185-4378

  69. The Role of Water for Photodecomoposition of Aqueous Hydrogen Sulfide using Stratified Photocatalyst -Theoretical Part- Peer-reviewed

    T. Matsumoto, T. Arai, K. Shinoda, U. Nagashima, K. Tohji

    1st Int. Workshop on WATER DYNAMICS 59-61 2004/03

  70. Production of Hydrogen by Sulfur Circulation with a Light Catalyst Invited Peer-reviewed

    荒井武男, 松本高利, 松本博道, 田路和幸

    Journal of the Sciety of Inorganic Materials, Japan 11 (313) 466-473 2004/01/23

    Publisher: The Society of Inorganic Materials, Japan

    DOI: 10.11451/mukimate2000.11.466  

    ISSN: 2185-4378

  71. Material Design of Lithium Ion Rechargeable Battery by Quantum Chemical Calclation - Search of Specific Carbon Structure Models - Peer-reviewed

    Takatoshi Matsumoto, Umpei Nagashima, Kazutoshi Tanabe, Shuichiro Ono

    J. Comput Chem. Jpn. 2 (2) 63-70 2003/07

    Publisher: Society of Computer Chemistry, Japan

    DOI: 10.2477/jccj.2.63  

    ISSN: 1347-1767

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    To develop a higher performance Li-ion rechargeable battery it is necessary to make clear the structures and mechanism of the occlusion / release process of Li/Li-ion to carbon materials as cathode materials. In order to determine the carbon materials that minimize energy loss by electronic movement, HOMO and LUMO energies were calculated for 48 kinds of carbon skeleton using the RHF/3-21G of the ab initio molecular orbital calculation program Q-Chem. It was found that the repeated structures of tetrabenzo[bc, ef, kl, no]coronene(TBC) satisfy the demand for orbital energies of Li/Li(+), and that TBC6 is the smallest skeleton for this purpose.

  72. Neural Network Prediction of Carcinogenicity of Organic Compounds Peer-reviewed

    Kazutoshi Tanabe, Norihito Ohmori, Shuichiro Ono, Takahiro Suzuki, Takatoshi Matsumoto, Hiroyuki Uesaka

    Journal of Pharmacy and Pharmacology 55 S22 2003/04

  73. Prediction of Polyethylene Density by Near-Infrared Spectroscopy Combined with Neural network Analysis Peer-reviewed

    Kazumitsu Saeki, Kazutoshi Tanabe, Takatoshi Matsumoto, Hiroyuki Uesaka, Toshio Amano, Kimito Funatsu

    Journal of Computer Chemistry, Japan 2 (1) 33-39 2003/04

    Publisher: Society of Computer Chemistry, Japan

    DOI: 10.2477/jccj.2.33  

    ISSN: 1347-1767

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    A rapid and intact method has been developed for predicting polyethylene density by near-infrared spectroscopy combined with neural network analysis. Near-infrared spectra in the region of 1.1-2.2 μm wavelength were measured using pellets or powders of twenty-three kinds of polyethylene (PE) with different densities (0.898-0.962 g cm-3). The spectra were used for training a back-propagation neural network after normalized and second-derivative treatments to predict PE density. Although only a small number of spectral data were used for training, a leave-one-out test of neural network analysis has demonstrated good results. In comparison, principal component regression (PCR) analysis and partial least-squares (PLS) regression analysis were applied. The correlation coefficients (R) were calculated to be 1.000, 0.968 and 0.983 for neural network, PCR and PLS analysis, respectively. The root mean square errors of prediction were found to be 0.00026, 0.0043 and 0.0031 g cm-3, respectively. It is found that near-infrared spectroscopy combined with neural network analysis is useful for the efficient and accurate determination of PE density.

  74. 化学物資リスク評価システムの開発

    田辺和俊, 松本高利, 小野修一郎

    千葉工業大学研究報告(理工編) 50 115 2003/04

  75. ニューラルネットワークによる化学物質の安全性の予測 Peer-reviewed

    田辺和俊, 大森紀人, 小野修一郎, 鈴木孝弘, 松本高利, 上坂博享

    エコテクノロジー研究 8 60 2003/04

  76. 下水処理場で発生する硫化水素を利用した水素製造 Peer-reviewed

    荒井武男, 松本高利, 篠田弘造, 田路和幸

    水素エネルギーシステム 28 (2) 8-14 2003/04

    Publisher:

    ISSN: 1341-6995

  77. 計算化学による高性能リチウムイオン2次電池の負極炭素材料設計-特異な炭素骨格構造モデルの探索- Peer-reviewed

    松本高利, 長嶋雲兵, 田辺和俊, 小野修一郎

    Journal of Computer Chemistry, Japan 2 (2) 63-70 2003/04

    Publisher: Society of Computer Chemistry, Japan

    DOI: 10.2477/jccj.2.63  

    ISSN: 1347-1767

    More details Close

    To develop a higher performance Li-ion rechargeable battery it is necessary to make clear the structures and mechanism of the occlusion / release process of Li/Li-ion to carbon materials as cathode materials. In order to determine the carbon materials that minimize energy loss by electronic movement, HOMO and LUMO energies were calculated for 48 kinds of carbon skeleton using the RHF/3-21G of the ab initio molecular orbital calculation program Q-Chem. It was found that the repeated structures of tetrabenzo[bc, ef, kl, no]coronene(TBC) satisfy the demand for orbital energies of Li/Li(+), and that TBC6 is the smallest skeleton for this purpose.

  78. ニューラルネットワークの赤外スペクトル解析および構造-物性#Sc#SR活性相関解析への応用 Peer-reviewed

    田辺和俊, 松本高利

    化学と教育 51 (5) 280-283 2003/04

    Publisher:

    DOI: 10.20665/kakyoshi.51.5_280  

    ISSN: 0386-2151

  79. Prediction of Carcinogenicity of Chlorine-containing Organic Compounds by Neural Network Peer-reviewed

    田辺 和俊, 松本 高利

    J.Comput. Chem. Jpn. 1 (1) 23-28 2002/04

    Publisher: Society of Computer Chemistry, Japan

    DOI: 10.2477/jccj.1.23  

    ISSN: 1347-1767

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    A neural network was applied to the prediction of the carcinogenicity of 41 kinds of organic chlorine-containing compounds. Seven kinds of structural and quantum-chemical descriptors: molecular weight, log P, Gibbs free energy, ionization potential, LUMO energy, HOMO-LUMO energy gap, and Connolly volume were determined. These descriptors were entered into the input layer of a three-layered neural network, and carcinogenicity data from the NTP database were entered into the output layer as teaching data. The network was trained with an error-back-propagation method, and a leave-one-out test showed a correct classification rate of 93%.

  80. Extraction of Bonding Parameter Characterizing Infrared Absorption Intensity of FreonAlternatives by Sensitivity Analysis and Differential Coefficient Analysis of Input Data forNeural Network Peer-reviewed

    福田 朋子, 松本 高利, 田辺 和俊, 長嶋 雲兵, 青山 智夫

    J.Comput. Chem. Jpn. 1 (1) 1-8 2002/04

    Publisher: Society of Computer Chemistry, Japan

    DOI: 10.2477/jccj.1.1  

    ISSN: 1347-1767

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    For molecular design of freon alternatives, we attempted to extract bond parameter characterizing the infrared absorption intensity in the 1500-500 cm-1 region from 44 kinds of fluorine-containing molecules: freon alternatives in gas phase by the analysis of sensitivity and differential coefficients of input parameter for the three layers perceptron type neural network. The analysis of differential coefficients of input parameter for the three layers perceptron type neural network was developed by Aoyama and Ichakawa[3, 4] and was newly equipped into a neural network simulator Neco [2, 5, 8 -13].<BR>The importance of 8 bond types: C-C, C=C, C-O, C=O, C-H, C-F, C-Cl, O-H were examined using a well educated neural network, where the error of leave-one out test is less than 0.007. The error is acceptable because the value corresponds almost 5% error of intensity and 10% error is usually included in the observed values.<BR>The numbers of C=O and O-H bonds increase the intensity whereas C-O and C-F have less effect. In Figure 2, the sensitivity analysis suggested that the number of C-C bonds is to be unimportant for the intensity. However, the result of the differential coefficients analysis suggested the importance of the number of C-C bonds as shown in Figure 3.<BR>The results of the sensitivity analysis and the differential coefficients suggested that ether type freon alternatives have relatively small infrared absorption intensity in the 1500-500 cm-1 region.

  81. プラズマ重合分子認識膜を有するQCMガスセンサー Peer-reviewed

    真田尚治, 信山健次, 草野英二, 金原 粲, 南戸秀仁, 松本高利, 黒沢 茂, 田辺和俊, 大藪多可志

    Chmeical Sensors 18 (Suppl A) 43-45 2002/04

    Publisher:

  82. ニューラルネットワークによる有機塩素化合物の発ガン性の予測 Peer-reviewed

    田辺和俊, 松本高利

    Journal of Computer Chemistry, Japan 1 (1) 23-28 2002/04

    Publisher: Society of Computer Chemistry, Japan

    DOI: 10.2477/jccj.1.23  

    ISSN: 1347-1767

    More details Close

    A neural network was applied to the prediction of the carcinogenicity of 41 kinds of organic chlorine-containing compounds. Seven kinds of structural and quantum-chemical descriptors: molecular weight, log P, Gibbs free energy, ionization potential, LUMO energy, HOMO-LUMO energy gap, and Connolly volume were determined. These descriptors were entered into the input layer of a three-layered neural network, and carcinogenicity data from the NTP database were entered into the output layer as teaching data. The network was trained with an error-back-propagation method, and a leave-one-out test showed a correct classification rate of 93%.

  83. ニューラルネットワーク入力パラメータの感受性解析と偏微分係数解析を用いた赤外線吸収強度に敏感な分子結合パラメータの抽出-フロン類の赤外吸収強度- Peer-reviewed

    福田朋子, 松本高利, 田辺和俊, 長嶋雲兵, 青山智夫

    Journal of Computer Chemistry, Japan 1 (1) 1-8 2002/04

    Publisher: Society of Computer Chemistry, Japan

    DOI: 10.2477/jccj.1.1  

    ISSN: 1347-1767

    More details Close

    For molecular design of freon alternatives, we attempted to extract bond parameter characterizing the infrared absorption intensity in the 1500-500 cm-1 region from 44 kinds of fluorine-containing molecules: freon alternatives in gas phase by the analysis of sensitivity and differential coefficients of input parameter for the three layers perceptron type neural network. The analysis of differential coefficients of input parameter for the three layers perceptron type neural network was developed by Aoyama and Ichakawa[3, 4] and was newly equipped into a neural network simulator Neco [2, 5, 8 -13].<BR>The importance of 8 bond types: C-C, C=C, C-O, C=O, C-H, C-F, C-Cl, O-H were examined using a well educated neural network, where the error of leave-one out test is less than 0.007. The error is acceptable because the value corresponds almost 5% error of intensity and 10% error is usually included in the observed values.<BR>The numbers of C=O and O-H bonds increase the intensity whereas C-O and C-F have less effect. In Figure 2, the sensitivity analysis suggested that the number of C-C bonds is to be unimportant for the intensity. However, the result of the differential coefficients analysis suggested the importance of the number of C-C bonds as shown in Figure 3.<BR>The results of the sensitivity analysis and the differential coefficients suggested that ether type freon alternatives have relatively small infrared absorption intensity in the 1500-500 cm-1 region.

  84. Prediction of Vibrational Spectra by Computational Chemistry-Ab initio Molecular Orbital Calculation of Vibrational Frequencies and Infrared Intensities of Gas Phase Dichloromethane Molecules CH2Cl2, CHDCl2 and CD2Cl2- Peer-reviewed

    田辺 和俊, 松本 高利, 都築 誠二

    J. Comput. Chem. Jpn. 1 (2) 47-58 2002/04

    Publisher: Society of Computer Chemistry, Japan

    DOI: 10.2477/jccj.1.47  

    ISSN: 1347-1767

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    Vibrational frequencies and infrared intensities of dichloromethane molecules CH2Cl2, CHDCl2, CD2Cl2 in the gas phase have been calculated using the ab initio molecular orbital method with many combinations of basis set functions and electron correlation correction methods, and compared with experimental values. The dependence of calculated frequencies and intensities on basis set function and electron correlation correction method was made clear, and as a recommended combination of basis set function and electron correlation correction method, MP2/6-311G(3df, 3pd) was proposed and gave an average error of 0.93% for vibrational frequency calculation, and MP2/D95(3df, 3pd) was proposed to give an average error of 22.9% for infrared intensity calculation. However, there are numerous difficulties in the theoretical analysis of vibrational spectra when using computational chemistry methods.

  85. Odor sensor using plasma-polymerized-film coated QCM for environmental monitoring Peer-reviewed

    H Nanto, Y Hamaguchi, S Sanada, K Nobuyama, T Matumoto, K Tanabe, S Kurosawa

    ADVANCED ENVIRONMENTAL SENSING TECHNOLOGY II 4576 237-243 2002

    DOI: 10.1117/12.456964  

    ISSN: 0277-786X

  86. Molecular orbital calculation for the model compounds of kainoid amino acids, agonists of excitatory amino acid receptors. Does the kainoid C4-substituent directly interact with the receptors? Peer-reviewed

    Kimiko Hashimoto, Takatoshi Matsumoto, Kensuke Nakamura, Shu-ichi Ohwada, Tatsuro Ohuchi, Manabu Horikawa, Katsuhiro Konno, Haruhisa Shirahama

    Bioorganic and Medicinal Chemistry 10 (5) 1373-1379 2002

    DOI: 10.1016/S0968-0896(01)00400-X  

    ISSN: 0968-0896

  87. Identification of chemical structures from infrared spectra by using neural networks Peer-reviewed

    Kazutoshi Tanabe, Takatoshi Matsumoto, Tadao Tamura, Jiro Hiraishi, Shinnosuke Saeki, Miwako Arima, Chisato Ono, Shoji Itoh, Hiroyuki Uesaka, Yasuhiro Tatsugi, Kazushige Yatsunami, Tetsuya Inaba, Michiko Mitsuhashi, Shoji Kohara, Hisashi Masago, Fumiko Kaneuchi, Chihiro Jin, Shuichiro Ono

    Applied Spectroscopy 55 (10) 1394-1403 2001/10

    DOI: 10.1366/0003702011953531  

    ISSN: 0003-7028

  88. プラスチック廃棄物リサイクルのための判別技術の開発 Peer-reviewed

    田辺和俊, 松本高利, 佐伯和光, 上坂博亨, 天野敏男

    エコテクノロジー研究 7 93-98 2001/04

  89. 分子の構造活性相関解析のためのニューラルネットワークシミュレータ:Neko(Neural network simulator for structure-activity Correlation of molecules)の開発(6) -機械構造用Cr-Mo鋼, Ni鋼, Ni-Cr鋼およびNi-Cr-Mo鋼の力学的性質の推定- Peer-reviewed

    福田朋子, 田島澄恵, 松本高利, 長嶋雲兵, 細谷治夫, 青山智夫

    The Journal of Chemical Software 7 (4) 179-190 2001/04

    Publisher: SOCIETY OF COMPUTER CHEMISTRY, JAPAN

    DOI: 10.2477/jchemsoft.7.179  

    ISSN: 0918-0761

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    In order to estimate mechanical properties of high tension steels for machine tools: Cr-Mo steel, Ni steel, Ni-Cr steel and Ni-Cr-Mo steel, we applied property prediction by a perceptron type neural network. It was found that six mechanical properties: yield point, tensile strength, diaphragm, impulsive force and hardness are predictable within experimental error, almost 20%, using only the amount of C, Mn, Ni, Cr and Mo in the steels.

  90. ニューラルネットワークによるマススペクトルからの構造推定 Peer-reviewed

    松本高利, 田辺和俊, 長嶋雲兵, 上坂博亭, 前田浩五郎

    化学とソフトウェア 23 3 2001/04

  91. Rapid discrimination of polyethylene grades by combining a near-infrared spectra measurement and a neural network analysis Peer-reviewed

    Kazumitsu Saeki, Takatoshi Matsumoto, Kazutoshi Tanabe, Toshio Amano

    Bunseki Kagaku 50 (4) 223-227 2001

    Publisher: Japan Society for Analytical Chemistry

    DOI: 10.2116/bunsekikagaku.50.223  

    ISSN: 0525-1931

  92. ニューラルネットワークによる化学物質の生分解性の予測 Peer-reviewed

    松本高利, 田辺和俊

    化学とソフトウェア 22 55 2000/04

  93. ニューラルネットワークによる化学物質の変異原性の予測 Peer-reviewed

    松本高利, 田辺和俊, 久保隆, 浦野紘平

    化学とソフトウェア 22 127 2000/04

  94. ニューラルネットワークによる高分子の物性予測 Peer-reviewed

    松本高利, 田辺和俊

    JCPE Journal 12 (1) 49-56 2000/04

    Publisher: Society of Computer Chemistry, Japan

    DOI: 10.14827/jccj1999.12.49  

    ISSN: 1344-9826

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    In the development of new polymers, it is important to predict properties of polymers.But there are problems in existing methods to predict polymer properties. Molecular dynamics simulation takes long time and gives systematic error, and group contribution method requires endless correction terms to get exact values. Neural network has been applied to the prediction of glass transition temperatures of polymers. Network was trained by entering numbers of 12 kinds of bonds in monomer unit structures as input descriptors, and a leave-one-out test revealed that the network can well predict glass transition temperatures ranging above 600K with an average error of 29K.

  95. 近赤外分光測定とケモメトリックス解析による生分解性及び非生分解性プラスチックの迅速識別 Peer-reviewed

    松本高利, 田辺和俊, 加倉田圭一, 小川俊明, 小野修一郎, 天野敏男

    化学とソフトウェア 22 1 2000/04

  96. 計算化学による振動スペクトルの予測―ジクロロメタン分子の液相赤外スペクトルの計算― Peer-reviewed

    松本高利, 都築誠二, 田辺和俊

    JCPE Journal 12 (4) 209-334 2000/04

    Publisher: Society of Computer Chemistry, Japan

    DOI: 10.14827/jccj1999.12.209  

    ISSN: 1344-9826

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    Vibrational frequencies and infrared intensities of methane and four fluorinated methane molecules in the gas phase have been calculated with the ab initio molecular orbital method using various combinations of basis set functions and electron correlation correction methods, and compared with corresponding experimental values. The best combination of basis set function and electron correlation correction method is recomended.

  97. 計算化学による振動スペクトルの予測―フッ素化メタン分子の気相赤外スペクトルの計算― Peer-reviewed

    松本高利, 都築誠二, 水野正城, 田辺和俊

    JCPE Journal 12 (4) 327-334 2000/04

    Publisher: Society of Computer Chemistry, Japan

    DOI: 10.14827/jccj1999.12.327  

    ISSN: 1344-9826

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    Vibrational frequencies and infrared intensities of methane and four fluorinated methane molecules in the gas phase have been calculated with the ab initio molecular orbital method using various combinations of basis set functions and electron correlation correction methods, and compared with corresponding experimental values. The best combination of basis set function and electron correlation correction method is recomended.

  98. 水晶振動子ガスセンサ測定とケモメトリックス解析による揮発ガス分析 Peer-reviewed

    松本高利, 田辺和俊, 黒澤茂, 向井達哉, 南戸秀仁

    化学とソフトウェア 22 85 2000/04

  99. How to Increase the Reactivity of Hydroxylmethylation of Tea Catechins?-A Theoretical Study of the Introduction of a Galloyl Moiety at C-3 Position- Peer-reviewed

    田村克浩, 松本高利, 長嶋雲兵

    J.Chem Software 2 (7) 57-64 2000/04

    Publisher: SOCIETY OF COMPUTER CHEMISTRY, JAPAN

    DOI: 10.2477/jchemsoft.7.57  

    ISSN: 0918-0761

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    Tea catechins and related compounds, (-)-Epicatechin gallate and (-)-Epigallocatechin ga llate, which have a galloyl moiety at the C-3 position (see Figure 1), show higher reactivity of hyd roxylmethylation than others. We performed theoretical calculations on 5 tea catechins by the semi-e mpirical molecular orbital method. <br>It is found that introduction of a galloyl moiety makes HOMO localize at the C-6 and C-8 positions. These variations of orbital energies lead to a high reactivi ty. It is suggested that the introduction of functional groups that have a large -electron system in to tea catechins raises the reactivity of hydroxylmethylation.

  100. Development of a Neural Network Simulator for Structure-Activity Correlation of Molecules:Neco (4)- Sweet / Bitter Classification in Perillartine Derivatives - Peer-reviewed

    田島澄恵, 松本高利, 長嶋雲兵, 細谷治夫, 青山智夫

    J. Chem. Software 6 (3) 115-126 2000/04

    Publisher: SOCIETY OF COMPUTER CHEMISTRY, JAPAN

    DOI: 10.2477/jchemsoft.6.115  

    ISSN: 0918-0761

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    The relationships between molecular structure and taste quality: sweet or bitter, or several perillartine derivatives were examined using a perceptron type neural network simulator for structure-activity correlation of molecules: Neco with reconstruction of weight matrix method. The reconstruction of weight matrix method was used to optimize the number of neurons in hidden layer. In the case of using six parameters: hydroforbic(log P) and the STERIMOL(L, Wl, Wu, Wr, and Wd) parameters as inputs, the number of neurons in hidden layer is minimized to one by the reconstruction learning method. Even in this case, there is no misclassified compound. The prediction rate by leave-one-out procedure was also 100%. The most important three parameters were the same as predicted by Fisher ratio. The number of input parameters was minimized by holding the number of neurons in hidden layer to one. Two parameters, namely Log P and Wr were found to describe the sweet/bitter activity of perillartine derivatives. Instead of STERIMOL parameters, atomic charges of common molecular skeleton, HOMO and LUMO energies, and HOMO-LUMO energy difference were selected as input data. MOPAC93/AM1 was used to evaluate these parameters. The optimum number of neurons in the hidden layer was also one. Atomic charges and LUMO energy are also important for sweet/bitter classification. This suggests that electronic structure around common molecular skeleton and electron elimination reaction are essential to sweet/ bitter activity of perillartine derivatives.

  101. Material Design of Lithium Ion Rechargeable Battery by Quantum Chemical Calculation - Review and Search of Carbon Cluster Models Peer-reviewed

    松本高利, 長嶋雲兵, 田辺和俊

    Trans. Material Research Soc. Jpn 25 1015 2000/04

  102. ニューラルネットワークによる赤外スペクトルからの構造推定 Peer-reviewed

    松本高利, 田辺和俊, 上坂博亭

    化学とソフトウェア 21 53 1999/04

  103. ニューラルネットワークによる分子設計‐代替フロン探索のための赤外線吸収強度の予測‐ Peer-reviewed

    松本高利, 長嶋雲兵, 田辺和俊, 吉本昭ニ, 上坂博亭, 山本博志

    化学とソフトウェア 21 3 1999/04

  104. ニューラルネットワークによる有機塩素化合物の発ガン性予測 Peer-reviewed

    松本高利, 田辺和俊

    JCPE Journal 11 (1) 29-34 1999/04

    Publisher: Society of Computer Chemistry, Japan

    DOI: 10.14827/jccj1999.11.29  

    ISSN: 1344-9826

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    In order to develop a chemical hazard prediction system showing a higher performance than those of existing systems using linear multi-regression analysis as quantitative structure-activity relationship, neural network was applied to the prediction of carcinogenicity of 41 kinds of organic chlorine-containing compounds. Seven kinds of structural descriptors easily determined from molecular structures were used. A leave-one-out test showed a performance of 83%, higher than those of existing systems, and a possibility to get a higher performance was discussed.

  105. Computational Chemical Prediction for the Position of Hydrogen-Deuterium Exchange in Hydroxyindole Derivatives Peer-reviewed

    松本高利, 長嶋雲兵, 田辺和俊, 橋本貴美子, 曽川和代, 白濱晴久

    J. Chem. Software 5 (2) 49-54 1999/04

    Publisher: SOCIETY OF COMPUTER CHEMISTRY, JAPAN

    DOI: 10.2477/jchemsoft.5.49  

    ISSN: 0918-0761

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    We report an easy computational procedure for qualitative prediction of hydrogen-deuterium exchange position in hydroxyindole derivatives. The efficiency of the procedure was confirmed with experimental results (Fig. 1). Hydrogen-deuterium exchange took place at the carbon atom having the big charge (Fig. 3), namely, that next to the hydroxy function. The predicted positions were in good agreement with the observations though there is an exception when steric hindrance should be considered to explain the results.Atomic charges in basic molecule skeleton obtained by using the molecular orbital calculation enable prediction for the position of hydrogen-deuterium exchange in hydroxy indole derivatives.

  106. 化学物質安全性データベースの開発 Peer-reviewed

    化学物質安全性データベースの開発

    化学とソフトウェア 21 87 1999/04

  107. 計算化学による振動スペクトルの予測‐ジクロロメタン分子の気相赤外スペクトルの計算‐ Peer-reviewed

    松本高利, 田辺和俊

    JCPE Journal 11 (2) 103-110 1999/04

    Publisher: Society of Computer Chemistry, Japan

    DOI: 10.14827/jccj1999.11.103  

    ISSN: 1344-9826

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    Vibrational frequencies and infrared intensities of dichloromethane CH2Cl2 molecule in the gas phase have been calculated with the ab initio molecular orbital method using many combinations of basis set functions and electron correlation correction methods, and compared with experimental values. Dependence of calculated frequencies and intensities on basis set function and electron correlation correction method was made clear, and a recommended combination of basis set function and electron correlation correction method was proposed.

  108. 実験を越える時間空間分解能の実現への挑戦‐量子化学計算によるリチウムイオン電池の材料設計 Peer-reviewed

    松本高利, 長嶋雲兵, 田辺和俊

    シュミレーション 19 3 1999/04

  109. 量子化学計算によるリチウムイオン電池の材料設計(第1報)計算プログラムの性能評価と炭素骨格モデルの探索 Peer-reviewed

    松本高利, 長嶋雲兵, 田辺和俊

    JCPE Journal 11 (3) 171-180 1999/04

    Publisher: Society of Computer Chemistry, Japan

    DOI: 10.14827/jccj1999.11.171  

    ISSN: 1344-9826

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    Recently high performance rechargeable battery for movable communicator and batteries of electric automobiles is in great demand. In order to develop higher performance lithium ion rechargeable battery, it is necessary to reveal structures and mechanism of Li absorption or intercalation into carbon electrode. But it is quite difficult to experimentally reveal those structures and mechanisms, because carbon materials are amorphous clusters. We investigated structures and mechanisms of Li absorption or intercalation into carbon clusters using ab initio molecular orbital calculation, aiming at the materials design of lithium ion rechargeable battery. Using the ab initio molecular orbital calculation program Q-Chem, we examined the result of the previous carbon model using the semi-empirical molecular orbital method by Yamabe et al., and calculated electronic energy levels on our modified carbon cluster model consisting of more than 100 carbon atoms. As a result, we found an optimum structure of carbon cluster, and succeeded in the materials design of carbon electrode of lithium ion rechargeable battery.

  110. Non-destructive discrimination of plastic wastes by combining near-infrared spectra measurement and neural network analysis Peer-reviewed

    Takatoshi Matsumoto, Kazutoshi Tanabe, Kazumitsu Saeki, Toshio Amano, Hiroyuki Uesaka

    Bunseki Kagaku 48 (5) 483-489 1999

    Publisher: Japan Society for Analytical Chemistry

    DOI: 10.2116/bunsekikagaku.48.483  

    ISSN: 0525-1931

  111. Theoretical study of the reaction of silylketenes with acyl isocyanates Peer-reviewed

    Takatoshi Matsumoto, Kiyo Takaoka, Toyohiko Aoyama, Takayuki Shioiri

    Tetrahedron 53 (1) 225-236 1997/01/06

    DOI: 10.1016/S0040-4020(96)00965-9  

    ISSN: 0040-4020

  112. Reaction pathway for epimerization of tilivalline Peer-reviewed

    Takatoshi Matsumoto, Toyohiko Aoyama, Takayuki Shioiri

    Tetrahedron 52 (42) 13521-13524 1996/10/14

    Publisher: Elsevier Ltd

    DOI: 10.1016/0040-4020(96)00807-1  

    ISSN: 0040-4020

  113. Computational studies of effective asymmetric alkylation utilizing a chiral Schiff base derived from 2-hydroxy-3-pinanone .1. Peer-reviewed

    T Matsumoto, T Shioiri, E Osawa

    TETRAHEDRON 52 (16) 5961-5970 1996/04

    DOI: 10.1016/0040-4020(96)00226-8  

    ISSN: 0040-4020

  114. Computational studies of effective asymmetric alkylation utilizing a chiral Schiff base derived from 2-hydroxy-3-pinanone .2. Peer-reviewed

    T Matsumoto, T Shioiri, E Osawa

    TETRAHEDRON 52 (16) 5971-5982 1996/04

    DOI: 10.1016/0040-4020(96)00226-8  

    ISSN: 0040-4020

  115. Thermal transformation of ring-opened [2+2]C-60 dimer into a wide-bridged C-120 isomer. A computational evaluation of fulvalene-naphthalene rearrangements Peer-reviewed

    K Honda, E Osawa, Z Slanina, T Matsumoto

    FULLERENE SCIENCE AND TECHNOLOGY 4 (5) 819-834 1996

    ISSN: 1064-122X

  116. Effect of zinc halides on the high stereoselectivity of a new mannich type cyclization in the tilivalline synthesis a computational chemical analysis Peer-reviewed

    Takatoshi Matsumoto, Toyohiko Aoyama, Takayuki Shioiri, Eiji Osawa

    Tetrahedron 50 (32) 9775-9780 1994

    DOI: 10.1016/S0040-4020(01)85543-5  

    ISSN: 0040-4020

  117. Epimerization of tilivalline Peer-reviewed

    Takatoshi Matsumoto, Nobuyuki Matsunaga, Ayako Kanai, Toyohiko Aoyama, Takayuki Shioiri, Eiji Osawa

    Tetrahedron 50 (32) 9781-9788 1994

    DOI: 10.1016/S0040-4020(01)85544-7  

    ISSN: 0040-4020

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Misc. 26

  1. 栄養素とサプリメントとしての鉄

    鈴木茂, 打越雅仁, 松本高利, 篠田弘造, 小林章男

    金属 94 (4) 2024

    ISSN: 0368-6337

  2. Microscopic Characterization of Low Molecular Weight Organic Acids Containing Ferrous Ions or Ferric Ions

    鈴木茂, 打越雅仁, 松本高利, 篠田弘造, 小林章男

    材料とプロセス(CD-ROM) 37 (1) 2024

    ISSN: 1882-8922

  3. Stability of oxidation state of iron in organic acid complex

    打越雅仁, 松本高利, 鈴木茂, 小林章男

    材料とプロセス(CD-ROM) 37 (2) 2024

    ISSN: 1882-8922

  4. Diphenyl Phosphorazidateを活性化剤かつアジド源として用いたテトラゾールの実用的合成

    石原稿太朗, 川島麻友美, 松本高利, 塩入孝之, 松儀真人

    日本プロセス化学会サマーシンポジウム講演要旨集 2018 112‐113 2018/07/02

  5. Diphenyl Phosphorazidateを用いたアルドキシムからテトラゾールの効率的合成

    石原稿太朗, 川島麻友美, 塩入孝之, 松本高利, 松儀真人

    日本農芸化学会大会講演要旨集(Web) 2017 ROMBUNNO.3C12a07 (WEB ONLY) 2017/03/05

    ISSN: 2186-7976

  6. Verification of Effectiveness of Electronic Descriptors in SVM Models for Predicting Carcinogenicities of Chemicals

    (57) 95-107 2013/03

    Publisher: 東洋大学自然科学研究室

    ISSN: 1346-8987

  7. Simple and effective 3D recognition of domoic acid using a molecularly imprinted polymer (vol 129, pg 13626, 2007)

    Koji Nemoto, Takuya Kubo, Makoto Nomachi, Tomoharu Sano, Takatoshi Matsumoto, Ken Hosoya, Tetsutaro Hattori, Kunimitsu Kaya

    JOURNAL OF THE AMERICAN CHEMICAL SOCIETY 130 (2) 774-774 2008/01

    DOI: 10.1021/ja7106788  

    ISSN: 0002-7863

  8. イオウ循環を利用したストラティファイドCdS光触媒による水素製造

    田路和幸, 高橋英志, 松本高利

    光触媒 22 82-91 2007

  9. Microcrystal X-ray Analyses using LTV Camera at SPring-8 BL02B1 Beamline

    Nobuhiro Yasuda, Yoshiki Ozawa, Koshiro Toriumi, Shunsuke Kuwahara, Kazuhiro Obata, Kazuhiro Yoshida, Takatoshi Matsumoto, Nobuyuki Harada

    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES 61 C136-C136 2005

    DOI: 10.1107/S0108767305094237  

    ISSN: 2053-2733

  10. Absolute Configuration of a Chiral C60 Fullerene Bis-Adduct as Determined by X-Ray Crystallography at the SPring-8

    Obata Kazuhiro, Kuwahara Shunsuke, Yoshida Kazuhiro, Matsumoto Takatoshi, Harada Nobuyuki, Yasuda Nobuhiro, Ozawa Yoshiki, Toriumi Koshiro

    Abstracts of Symposium on Physical Organic Chemistry 17 (0) 107-107 2004

    Publisher: The Society of Physical Organic Chemistry, Japan

    DOI: 10.11494/kisoyuki.17.0.107.0  

  11. Conformational Analysis of MαNP esters

    松本高利, 葛西祐介, 原田宣之

    日本化学会講演予稿集 84th (2) 2004

    ISSN: 0285-7626

  12. Calculation of the 1H NMR chemical shifts of chiral MαNP esters and comparison with observed data

    田地宏美, 山本陽子, 葛西祐介, 松本高利, 原田宣之

    日本化学会講演予稿集 83rd (2) 2003

    ISSN: 0285-7626

  13. MαNPエステルにおけるsyn配置を取る要因の解析

    松本高利, 葛西祐介, 原田宣之

    構造有機化学討論会講演予稿集 33rd 2003

  14. MαNPエステルにおけるsyn配置を取る要因の解析

    松本高利, 葛西祐介, 原田宣之

    化学系学協会連合東北地方大会プログラムおよび講演予稿集 2003 2003

  15. Conformational Analysis of MαNP esters

    松本高利, 葛西祐介, 原田宣之

    日本化学会講演予稿集 83rd (2) 2003

    ISSN: 0285-7626

  16. 分子軌道計算による赤外スペクトルのシミュレーション

    田辺 和俊, 松本 高利, 都築 誠二

    日本コンピュータ化学会年会講演予稿集 2002 (1) 1P31 2002/07/03

  17. 化学物質の安全性データベースの開発

    田辺 和俊, 松本 高利

    日本コンピュータ化学会年会講演予稿集 2002 (1) 2P25 2002/07/03

  18. 量子化学計算によるリチウムイオン2次電池の炭素材料設計

    松本 高利, 長嶋 雲兵, 田辺 和俊

    日本コンピュータ化学会年会講演予稿集 2002 (1) 2P08 2002/07/03

  19. MαNPエステルにおけるsyn配置を取る要因の解析

    松本高利, 葛西祐介, 原田宣之

    基礎有機化学連合討論会予稿集 16th 2002

  20. QCM gas sensors with plasma-polymerized molecular recognition-film prepared using plasma-CVD method

    SANADA Shouji, HAMAGUCHI Yuuki, NOBUYAMA Kenji, KUSANO Eiji, KINBARA Akira, NANTO Hidehito, MATSUMOTO Takatoshi, KUROSAWA Shigeru, TANABE Kazutoshi

    The Japanese journal of taste and smell research 8 (3) 427-430 2001/12/01

    Publisher: The Japanese Association for the Study of Taste and Smell

    ISSN: 1340-4806

  21. Discrimination of Plastic Wastes fo Recycling

    TANABE Kazutoshi, MATSUMOTO Takatoshi

    Chemistry and software 21 (4) 147-156 1999/12/30

    Publisher: 化学ソフトウェア学会

    ISSN: 0918-0869

  22. 生分解性プラスチックの迅速識別

    田辺 和俊, 松本 高利, 天野 敏男, 上坂 博享

    化学ソフトウェア学会年会研究討論会講演要旨集 1999 24-25 1999/09/10

    ISSN: 0919-3391

  23. 化学物質の毒性予測システムの開発

    田辺 和俊, 松本 高利, 平野 弘之, 森口 郁生

    化学ソフトウェア学会年会研究討論会講演要旨集 1998 52-53 1998/10/01

    ISSN: 0919-3391

  24. Development of Computer-Aided Evaluation System(CAESAR) of Chemical Safety by QSAR. (8). Test of Toxicity Prediction System.

    田辺和俊, 松本高利, 平野弘之, 森口郁生

    日本化学会講演予稿集 75th 1998

    ISSN: 0285-7626

  25. Development of Computer-Aided Evaluation System (CAESAR) of Chemical Safety by QSAR. (6). Design of Toxicity Prediction System.

    田辺和俊, 松本高利, 森口郁生, 平野弘之

    日本化学会講演予稿集 74th (1) 1998

    ISSN: 0285-7626

  26. 構造活性相関による化学物質安全性予測システム CAESAR の開発 (第5報) -システムの全体設計-

    田辺 和俊, 松本 高利

    化学ソフトウェア学会年会研究討論会講演要旨集 1997 50-51 1997/11/01

    ISSN: 0919-3391

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Books and Other Publications 2

  1. Computational Analysis of Reaction Specificity and Characterization of a Titanium(IV)-Porphyrin Reagent for Determining Hydrogen Peroxide

    Kiyoko Takamura, Takatoshi Matsumoto

    Computational Optimization: New Research Developments Edited by Richard F. Linton and Thomas B. Carroll Jr., Nova Science Publishers, Inc., NY, USA 2010/04

  2. 量子化学計算を用いたリチウムイオン2次電池負極材料の設計と高性能化

    松本 高利

    技術情報協会 2008

Presentations 1

  1. カリクリンAにおけるスピロケタールフラグメントの対称性を利用した合成ルートの研究

    森下栄一, 大田一男, 壁谷源嗣, 松本高利, 後藤仁志, 塩入孝之

    日本プロセス化学会2005サマーシンポジウム 2005/07/28

Industrial Property Rights 1

  1. 炭素材料を負極に含むリチウムイオン2次電池及びその炭素材料の識別方法

    3385464

    Property Type: Patent

Research Projects 6

  1. 消化器毒性に対する低分子有機酸-鉄イオン構造の影響に関する学際的解析

    小林 章男, 榊原 啓之, 高石 雅樹, 篠田 弘造, 松本 高利, 鈴木 茂

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業

    Category: 基盤研究(C)

    Institution: 国際医療福祉大学

    2023/04/01 - 2026/03/31

  2. Development of a chemical synthesis technique to prepare Cu-Co NWs

    Cuya Huaman Jhon Lehman

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research

    Category: Grant-in-Aid for Scientific Research (C)

    Institution: The University of Shiga Prefecture

    2016/04/01 - 2020/03/31

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    Cu-Co nanotubes (NTs) and nanoparticles (NPs) have been successfully synthesized through alcohol reduction method and a mechanism formation was proposed. Parameters such as solvent, surfactant and metallic sources have been studied experimentally and chemical calculations. Theoretically, alcohols with long alkyl chain can reduced metals with low reduction potential such as Cu and Co. In this regard, 1-heptanol was suitable to produce Cu-Co NTs and NPs. Likewise, although oleylamine and the ratio Cl-/O2 play important role in the formation of NTS, the N2 flow rate and the mixture of metallic acetate/metallic chloride control the ratio Cl-/O2. The Cu-Co NTs exhibit a CO2-to-formate faradaic efficiency was four times higher than that of Cu-Co NPs. The high electrocatalytic properties of NTs was due to the presence of high Co oxide content on Cu-Co NT surface.

  3. Development of highly crystalline nanoparticles synthesis process for energy andenvironmentalapplications

    B Jeyadevan

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research

    Category: Grant-in-Aid for Scientific Research (B)

    Institution: The University of Shiga Prefecture

    2010 - 2012

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    Research plan was founded on the basic research to develop techniques to synthesize highly crystalline nanomaterials for energy and environmental related applications. We synthesized highly pure copper oxides(CuO、Cu2O)nanoparticles for photoelectric conversion and confirmed their semi-conductor properties. We also constructed Cu2O:C60solar cells and evaluated their photo efficiency. We also developed techniques to synthesize Fe-Pt and Ni-Pt nanoparticles as catalytic electrodes for fuel cells. We demonstrated that Fe-Pt nanoparticles with fct crystalline structure on activated carbon could be used as an alternative candidate for Pt in PEFCs. Furthermore, Ni95Pt5and Ni90Pt10performed comparably with Pt particles in hydrogenation reaction, in spite of low Pt concentration. Finally, we also developed techniques to synthesize Fe-Co and Fe-Ni particles as electromagnetic wave absorbers and antenna material, respectively, and measured their high frequency properties. Fe-Co exhibited particle size dependent resonance peak in the range of a few GHz. On the other hand, Fe?Ni alloy nanoparticles, synthesized by hydrazine assisted polyol process, exhibited shape dependent low magnetic lossinthe MHz region.

  4. ポリオールプロセスを用いた多目的用均一粒径ナノ粒子合成技術の確立

    B Jeyadevan, 角田 匡清, 篠田 弘造, 佐藤 義倫, 田路 和幸, 松本 高利

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業

    Category: 基盤研究(A)

    Institution: 東北大学

    2005 - 2007

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    本研究における具体的な研究開発要素は、ポリオールプロセスにおけるナノ粒子の化学合成プロセスの機構解明とそれに基づくナノ粒子の組成・構造の精密制御プロセスの確立し、様々な目的にあったナノ粒子の材料設計ならびに単分散ナノ粒子の製造を行うものである。その目的の達成を目指して次の項目について研究を行った。 1.ポリオールプロセスの反応機構解明-X線吸収微細構造測定および紫外可視光吸収分光法を用い、コバルト粒子生成系を対象として本プロセスの反応機構解明を試みた。 2.反応速度の促進-ポリオールプロセスの反応速度の促進あるいは制御が得られる精製物質の物性、たとえば粒子サイズ、結晶構造などの制御に必要不可欠である。したがって、反応速度に影響及ぼす因子であるポリオール類意、金属塩類、反応促進剤などの有効性について検討した。ポリオール類の還元力の評価において分子軌道法および電気化学手法を用いた評価し、有効性を実験的に確認した。また、金属塩類や反応促進剤についても実験的な検討を行った。 3.金属及び合金ナノ粒子の合成-ポリオールプロセスを用いた合成においてはじめて純粋なFe及びFeCoナノ粒子の合成に成功した。また、導電性ナノ粒子合成においても銀および銅ナノ粒子の合成やそれらの酸化安定性に優れた被覆膜形成技術の開発に成功した。 4.金属および合金応用技術開発-20nm以下のFeCo合金微粒子の合成に成功しそれら高周波特性を評価しFeCo微粒子はGHz帯での周波数応答を示し、電磁波吸収体用材料としてのポテンシャルを確認した。また、電極触媒としてのFePt微粒子の活性評価について-本プロセスにより作成したFePt微粒子の燃料電池用アノード触媒としの活性評価を行った結果、Ptと比較して高い耐CO被覆性が確認され、アノード触媒材料としての有用性が示された。

  5. Study on Nonlinear Methods for Structure Activity Relationship in Assessment of Health Effects of Chemical Substances

    TANABE Kazutoshi, NAGASHIMA Umpei, UCHIMARU Tadafumi, TSUZUKI Seiji, MATSUMOTO Takatoshi, NAKATA Munetaka

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research

    Category: Grant-in-Aid for Scientific Research (A)

    Institution: Chiba Institute of Technology

    2002 - 2005

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    The purpose of this study is to develop a method for predicting the carcinogenicity of diverse chemical substances only from information of their molecular structures on the basis of quantitative structure-activity relationship (QSAR). A three-layered neural network as a nonlinear QSAR model was constructed. For the 454 compounds used in the Predictive Toxicology Challenge (PTC) 2000-2001 contest, 37 kinds of molecular descriptors calculated with MO programs, and the carcinogenicity data were entered into the input and output layers, respectively. The data of 454 compounds was split into training (144 compounds), validation (143) and test (167) sets. To solve the problems such as over-training, over-fitting and local minimum in training the neural network with the error-back-propagation algorithm, various conditions of the network such as the training cycles and neuron numbers of the intermediate layer were optimized. The optimum model showed a correct classification rate close to 74 %, higher than any of the PTC contestants. In order to develop a method with higher predictability, experimental carcinogenicity data on about 400 compounds were collected from various sources such as IARC, NTP and others, and their reliabilities were ranked into nine categories. 70 kinds of molecular descriptors were calculated from their 3D structures for these compounds, and the relationship between carcinogenicity data and those descriptors was analyzed. The performance of the proposed model was assessed by applying the leave-one-out cross validation test. It was found that this method can predict the relative carcinogenicity of diverse chemicals with higher accuracy than those of existing methods.

  6. New Strategy for Determining the Absolute Stereochemistry of Mono-Functional Natural Products by the CD Exciton Chirality Method

    HARADA Nobuyuki, MATSUMOTO Takatoshi, WATANABE Masataka

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research

    Category: Grant-in-Aid for Scientific Research (B)

    Institution: Tohoku University

    1999 - 2002

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    1. We have developed a new strategy for determining the absolute configuration of mono-fucntional compounds by the CD exciton chirality method. This method is powerful for the absolute configurational studies of chiral compounds including natural products. 2. We have recently developed two "powerful chiral acids" for enantioresolution of various alcohols by HPLC on silica gel and also for determination of their absolute configurations by X-ray crystallography and/or by the 1H NMR anisotropy method. The first is the chiral dichlorophthalic acid (-)-1, which was reacted with racemic alcohol to give a diastereomeric mixture of esters. The mixture of esters obtained was separated by HPLC on silica gel, and two separated esters were crystallized respectively to afford single crystals suitable for X-ray analysis. The absolute configuration of the alcohol part was determined by X-ray crystallography of the esters, and enantiopure alcohols were easily recovered by solvolysis with K_2CO_3 in methanol. 3. The second powerful chiral acid is 2-methoxy-2-(1-naphthyl)propionic acid (MαNP acid, (S)-(+)-2 or R-(-)-2) for determining the absolute configuration of chiral alcohols by the 1H NMR anisotropy method.The enantiopure MαNP acid (S)-(+)-2 was allowed to react with racemic alcohols yielding diastereomeric mixtures of esters, which were easily separated by HPLC on silica gel. The NMR signals of diastereomeric esters obtained were fully assigned by the various two-dimensional methods leading to the calculation of Δδ values (Δδ = δ(R,X)-δ(S,X)). By applying the MαNP sector rule, the absolute configuration X was determined. Separated esters were hydrolyzed with KOH/EtOH to recover enantiopure alcohols. 4. Using MαNP acid, (S)-(+)-2 and its deuterium labeled enantiomer R-(-)-2-d_6, we have developed a new diastereomer method for determining enantiomeric excess (% ee) of chiral alcohols by MS spectrometry.

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