東京工業大学 · 工学
Yusuke Shimoyama教授の研究室は、環境浄化とエネルギー変換を目的とした新規機能材料の開発を主軸としています。特に、二酸化炭素を用いたキチサン誘導体の機能化による染料吸着、イオン液体を用いた相平衡・活性係数の測定、さらには太陽光を用いたCO2回収技術の開発が進んでいます。これらの研究は、持続可能な技術の実現に向けた物質設計とプロセス最適化を柱としています。
Figures are computed from collected data and may differ slightly.
This study focuses on development of a new adsorption technique by CO<sub>2</sub>-activated chitosan. Carbon dioxide was utilized to form the functional chemical groups of chitosan on the adsorptions of anionic dyes, Brilliant Blue FCF and Congo Red, in the aqueous solution. CO<sub>2</sub>-activated chitosan results in the dye adsorption significantly faster than that of chitosan in pure water. The adsorption capacities and removal efficiencies of the dye are increased by CO<sub>2</sub>-activate
The infinite dilution activity coefficients of C1 to C5 alcohols, acetone, 2-butanone, acetylacetone, toluene, and xylene isomers in 4-methyl-N-butylpyridinium tetrafluoroborate ([bmpy][BF4]) and 1-butyl-3-methylimidazolium hexafluorophosphate ([bmim][PF6]) were measured by gas−liquid chromatography (GC) from (306.6 to 334.8) K and atmospheric pressure. In these measurements with GC, [bmpy][BF4] or [bmim][PF6] was used as a stationary phase. The infinite dilution activity coefficients in this wo
Recently, drug modification via cocrystals has attracted great attention due to its high flexibility for the modulation of drug physicochemical properties. To reduce the cost of screening experiments, machine learning (ML) algorithms have proven to be one of the most effective ways to rapidly screen cocrystal formation. However, the choice of molecular descriptors has a significant impact on its prediction accuracy. In this work, two space-charge descriptors (COSMO-based σ-profile and three-dime
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