Microstructural control of supramolecular hydrogel by teslaphoresis
| Project/Area Number |
17H07350
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Single-year Grants |
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| Research Field |
Organic and hybrid materials
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| Research Institution | National Institute for Materials Science |
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Principal Investigator |
NGO Huynh Thien 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)
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| Project Period (FY) |
2017-08-25 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2018: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | Teslaphoresis / hydrogel / supramolecular chemistry / teslaphoresis / Hydrogel |
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| Outline of Final Research Achievements |
Using the new technique Teslaphoresis, I could align the carbon nanotubes in synthetic hydrogel using supramolecular interactions. The hydrogel showed enhanced mechanical strength and stability. Furthermore, we investigated the anisotropic properties, such as conductivity of the hydrogel-carbon nanotube hybrids. depending on the direction of the alignment, we could enhance the conductivity of the gel in certain directions. In another related topic, we used the pluronic hydrogels as receptor materials for the membrane-type surface stress sensor MSS to detect various gasses. We observe that the direction of the alignment of carbon nanotubes strongly affects the sensitivity. In some cases we could enhance over 1000 times the sensitivity of the sensor materials. This remarkable finding is now under further investigation.
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| Academic Significance and Societal Importance of the Research Achievements |
The result of this investigation extends the academia and has many applications in real world.
We can now make stronger hydrogels using aligned carbon nanotubes for stronger water-like materials. We could detect small concentration of gases using this hydrogel, useful for agricultural applications.
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Report
(3 results)
Research Products
(3 results)
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[Journal Article] Functional Nanoparticles-Coated Nanomechanical Sensor Arrays for Machine Learning-Based Quantitative Odor Analysis2018
Author(s)
Kota Shiba, Ryo Tamura, Takako Sugiyama, Yuko Kameyama, Keiko Koda, Eri Sakon, Kosuke Minami, Huynh Thien Ngo, Gaku Imamura, Koji Tsuda, and Genki
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Journal Title
ACS Sensors
Volume: 3
Pages: 1592-1600
DOI
Related Report
Peer Reviewed
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