Abstract
The study investigates well-designed binary V2C/LaCoO3 cocatalysts coupled with g-C3N4 for photocatalytic CO2 reduction, using response surface methodology (RSM) to optimize parameters. Catalysts were screened by varying V2C MXene loadings in a Type I heterojunction g-C3N4/LaCoO3 composite. The 10 % V2C MXene-coupled heterojunction exhibited superior photocatalytic efficiency and selectivity due to effective charge separation and enhanced visible light absorption. CO and CH4 production by the ternary V2C/g-C3N4/LaCoO3 composite was optimized via central composite design (CCD) and RSM, yielding CO and CH4 at 269.8 and 548.12 µmole, respectively. Experimental values of 274.25 µmole (CO) and 592.37 µmole (CH4) showed minimal errors of 1.3 % and 1.6 %, respectively. Parameter interaction analysis revealed pressure as the most significant factor for maximizing product yields. This study provides insights into optimizing process parameters for photocatalytic CO2 reduction.
| Original language | English |
|---|---|
| Article number | 117953 |
| Journal | Materials Science and Engineering: B |
| Volume | 313 |
| DOIs | |
| Publication status | Published - Mar 2025 |
Keywords
- 2D VC, lanthanum cobalt oxide perovskites, g-CN
- Parameter optimization
- Photocatalytic CO conversion
- Response Surface Methodology
ASJC Scopus subject areas
- General Materials Science
- Condensed Matter Physics
- Mechanics of Materials
- Mechanical Engineering