Junpei Fujiki

Mesoporous Silica Sorbents Impregnated with Blends of Tetraethylenepentamine and Alkanolamine for CO2 Separation

Mesocellular silica foam (MSU-F) supports were functionalized via wet impregnation with various amine and alcohol compounds for use as high-capacity adsorbents for CO2 separation. The effect of the amino, hydroxyl, and ether functional groups in the impregnating mixture on the CO2 adsorption capacity was investigated. Chemical adsorption was controlled by the composition of the compounds, and the blending effect on the adsorption performance was dependent on the temperature. MSU-F (30 wt.%) impregnated with a mixture of tetraethylenepentamine (40 wt.%) and aminoethylethanolamine (30 wt.%) showed a high adsorption capacity of 5.4 mmol/g at 333 K for 15 kPa CO2.

Simplified Determination Method of Intraparticle Diffusivity Within a Resin Adsorbent from Binary-Component Liquid Adsorption Uptake Curves

To design and use adsorbers, adsorption kinetic properties must be determined. Several experimental methods and many analysis techniques for determining intraparticle diffusivity

A Simple Method for the Determination of Adsorption Kinetic Parameters Using Recycle Fixed-Bed Adsorber

(D_\mathrm{P})

Enhanced adsorption of carbon dioxide on surface-modified mesoporous silica-supported tetraethylenepentamine: Role of surface chemical structure

(DP) have been proposed for single- and multi-component adsorption systems. However, determining

Highly efficient post-combustion CO2 capture by low-temperature steam-aided vacuum swing adsorption using a novel polyamine-based solid sorbent

D_\mathrm{P}

Density functional theory study of adsorption of benzothiophene and naphthalene on silica gel

DP values from experimental data of multi-component adsorption systems requires trial and error curve-fitting of experimental with theoretical curves. Furthermore, adsorption calculations of multi-component systems are complicated. For example, displacement adsorption, which causes concentration overshoot phenomena, is troublesome when analyzing experimental data. This report focuses on a simple alternative analysis technique for determining the