3D printed Ni–Mn-modified rice husk derived mesoporous SiO₂ with an optimized Ni/Mn ratio for enhanced low-temperature CO₂ methanation: Experimental and theoretical studies
Year: 2025
Type: article
Abstract: Highly efficient 3D printed monometallic Ni and bimetallic Ni-Mn catalysts supported on biowaste-derived silica for CO₂ methanation were developed. The optimal Ni-Mn ratio and the presence of moderate-strength basic sites promoted high CO₂ conversion to methane. Ni-Mn catalysts show higher catalytic activity and higher selectivity to methane. The 3D-7Ni3Mn/MS catalyst achieved stable CO₂ conversion of 83 % at 290 °C with 99.5 % methane selectivity. The operando DRIFT spectroscopic investigations suggest that both *CO and HCOO* species are key intermediates of methane formation on Ni and Ni-Mn catalysts. These observations are supported by DFT calculations, revealing that the synergism between Ni and Mn facilitates CH₄ formation from CO₂, which could result in higher catalytic activity. The long-term stability test demonstrated that the activity and selectivity of the 3D-7Ni3Mn/MS catalyst was preserved in 31 h reaction time. The excellent catalytic performance and stability of 3D-printed catalysts highlight their potential as efficient, low-temperature catalysts for CO₂ methanation.
Authors: Grigoria Theochari, Boian Mladenov, Daniela Kovacheva, Daniela Karashanova, Bayan S. Karapenchev, Iskra Z. Koleva, Hristiyan A. Aleksandrov, Martin Kormunda, Gloria Issa, Anna Vikár, Ferenc Lónyi, Margarita Popova
Institutions: Bulgarian Academy of Sciences, Institute of Organic Chemistry with Centre of Phytochemistry, Technical University of Sofia, Institute of General and Inorganic Chemistry, Sofia University "St. Kliment Ohridski", Jan Evangelista Purkyně University in Ústí nad Labem, Institute of Materials and Environmental Chemistry, HUN-REN Research Centre for Natural Sciences
Language: English
Subfield: Catalysis
Field: Chemical Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $5,950
Awards: G2400728812, G8219398407, G8927584162
OpenAlex ID: W7114907798