ArticleScientific reports2026
Toward scalable and sustainable CO₂ capture: RSM-Guided optimization of Mg(OH)₂ slurry bubble column reactor.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
The increasing concentration of atmospheric carbon dioxide (CO₂), driven by industrial activities and fossil fuel consumption, necessitates the development of efficient and scalable carbon capture technologies. In this study, the chemical absorption of CO₂ using a magnesium hydroxide [Mg(OH)₂] slurry was investigated in a semi-batch slurry bubble column reactor. The process was optimized using a Box-Behnken Design (BBD) within the Response Surface Methodology (RSM) framework, evaluating the effects of four key parameters: slurry initial concentration (0.001-0.003 mol/L), liquid volume (15-25 L), increase in liquid height within the column due to gas retention (1-4 cm), and temperature (30-50 °C). A total of 23 experimental runs were conducted, and CO₂ removal efficiency was selected as the response variable. The regression model developed showed excellent agreement with experimental data (R² = 0.9923), and the maximum CO₂ removal efficiency achieved was 82.10% under optimal conditions (25 L liquid volume, 0.001 mol/L Mg(OH)
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