Current Volume 9
Abstract
The increasing concentration of atmospheric carbon dioxide (CO₂) is a major contributor to global climate change, necessitating innovative and sustainable carbon sequestration strategies. Microbial-based carbon sequestration technologies have emerged as promising alternatives due to their ability to biologically capture and store CO₂ through natural metabolic processes. However, their large-scale implementation is constrained by limited understanding of optimal environmental conditions and system dynamics. This study integrates experimental microbiological analysis with computational modeling to enhance carbon sequestration efficiency. A predictive simulation model was developed using Python and MATLAB to analyze microbial growth kinetics and CO₂ fixation rates under varying environmental parameters such as temperature, pH, and nutrient concentration. Simulated results demonstrate that optimized conditions (temperature: 30°C, pH: 7.5, nutrient concentration: 1.2 g/L) significantly improve carbon fixation efficiency by up to 42% compared to non-optimized systems. The model further reveals strong correlations between microbial biomass growth and CO₂ uptake rates (R² = 0.91). The findings highlight the critical role of computational modeling in optimizing microbial carbon sequestration systems, providing a scalable and cost-effective solution for climate change mitigation.
Keywords
Carbon Sequestration, Computational Modeling, MATLAB, Climate Chang.
Citations
IRE Journals:
Yusuf, Mercy Emike, Oyeleke, Olufemi Micheal "Microbial-Based Carbon Sequestration Technologies Enhanced by Computational Modeling" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 2769-2776 https://doi.org/10.64388/IREV9I11-1717785
IEEE:
Yusuf, Mercy Emike, Oyeleke, Olufemi Micheal
"Microbial-Based Carbon Sequestration Technologies Enhanced by Computational Modeling" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1717785
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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