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2018 年度 実績報告書

Microstructural control of supramolecular hydrogel by teslaphoresis

研究課題

研究課題/領域番号 17H07350
研究機関国立研究開発法人物質・材料研究機構

研究代表者

NGO HuynhThien  国立研究開発法人物質・材料研究機構, 機能性材料研究拠点, NIMSポスドク研究員 (60723484)

研究期間 (年度) 2017-08-25 – 2019-03-31
キーワードteslaphoresis
研究実績の概要

Using synthetic gelators we could to align the carbon nanotubes (CNTs) inside of the gels. The aligned CNTs were successfully stabilized by forming hydrogels around them. Different types of gelators were tested, but only one seemed to work for our intended application. This had to do with gelation time and gel strength, which were optimal for 0.3 wt.% gels from gelator. The mechanical properties of the materials (CNT-containing gels, both aligned and non-aligned, and blanks) were studied using oscillatory rheology. The CTNs increased the yield strain of the gels, this difference was even more profound when they were aligned in a direction parallel to the direction of the oscillation. Finally, the conductivity of the gels was tested. The resistance was measured along, and perpendicular to, the direction of the self-assembled CNTs wires. These were compared to blanks without CNTs and with randomly oriented CNTs. The results of these experiments show that the direction of the alignment of the CNTs affects the conductivity. In summary: the use of Teslaphoresis, to make aligned CNT hydrogels, allowed us to study the effect of this alignment on the mechanical and conducting properties of the materials.

現在までの達成度 (段落)

平成30年度が最終年度であるため、記入しない。

今後の研究の推進方策

平成30年度が最終年度であるため、記入しない。

  • 研究成果

    (3件)

すべて 2019 2018

すべて 雑誌論文 (3件) (うち査読あり 3件)

  • [雑誌論文] Dynamic Control of Intramolecular Rotation by Tuning the Surrounding Two-Dimensional Matrix Field2019

    • 著者名/発表者名
      Mori Taizo、Chin Hokyun、Kawashima Kazuhiro、Ngo Huynh Thien、Cho Nam-Joon、Nakanishi Waka、Hill Jonathan P.、Ariga Katsuhiko
    • 雑誌名

      ACS Nano

      巻: 13 ページ: 2410-2413

    • DOI

      10.1021/acsnano.8b09320

    • 査読あり
  • [雑誌論文] Functional Nanoparticles-Coated Nanomechanical Sensor Arrays for Machine Learning-Based Quantitative Odor Analysis2018

    • 著者名/発表者名
      Kota Shiba, Ryo Tamura, Takako Sugiyama, Yuko Kameyama, Keiko Koda, Eri Sakon, Kosuke Minami, Huynh Thien Ngo, Gaku Imamura, Koji Tsuda, and Genki
    • 雑誌名

      ACS Sensors

      巻: 3 ページ: 1592-1600

    • DOI

      10.1021/acssensors.8b00450

    • 査読あり
  • [雑誌論文] Effects of Center Metals in Porphines on Nanomechanical Gas Sensing.”2018

    • 著者名/発表者名
      Ngo, H.T., Minami, K. Imamura, G. Shiba, K. Yoshikawa, G
    • 雑誌名

      Sensors

      巻: 18 ページ: 1640

    • DOI

      10.3390/s18051640

    • 査読あり

URL: 

公開日: 2019-12-27  

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