LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Effective encapsulation of Ni nanoparticles in metal-organic frameworks and their application for CO2 methanation

Photo from wikipedia

Abstract Ni(10 wt%)@UiO-66 and Ni(10 wt%)@MIL-101 composites were prepared by the classical impregnation method (IMP) and the “double solvent method” (DS), followed by the rapid and simple reduction of Ni2+ to Ni0… Click to show full abstract

Abstract Ni(10 wt%)@UiO-66 and Ni(10 wt%)@MIL-101 composites were prepared by the classical impregnation method (IMP) and the “double solvent method” (DS), followed by the rapid and simple reduction of Ni2+ to Ni0 by aqueous solution of NaBH4. Structural characterization by BET, XRD, TGA, SEM/EDX, EELS, XPS showed that Ni nanoparticles of maximum 4 nm are uniformly dispersed on the microporous UiO-66 or the mesoporous MIL-101 support, regardless of the deposition method, without any significant difference in crystallinity and morphology of the MOF support. Functional characterization through temperature programmed desorption of CO2 (CO2-TPD) reveals an important contribution of the Ni-MOF interaction in the CO2 adsorption capacity. The best catalytic performance in CO2 hydrogenation reaction was obtained in case of the Ni@MIL-101 (IMP) sample: XCO2 of 56.4%, and SCH4 of 91.6% at 320 °C, 4650 h−1 and CO2:H2 = 1:8. All catalyst samples show stable catalytic performance parameters over a 10 h time on stream.

Keywords: encapsulation nanoparticles; mil 101; co2; nanoparticles metal; metal organic; effective encapsulation

Journal Title: International Journal of Hydrogen Energy
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.