A Simulation-Based Analysis of Dolomite, Lactic Acid, and Carbon Dioxide for Potential Carbon Sequestration Application
Document Types
Paper Presentation
Research Theme (for Paper Presentation and Poster Presentation submissions only)
Sustainability, Environment, and Energy (SEE)
School Name
De La Salle University
Track or Strand
Science, Technology, Engineering, and Mathematics (STEM)
Research Advisor (Last Name, First Name, Middle Initial)
Tapia, John Frederick, D.
Start Date
25-6-2026 10:30 AM
End Date
25-6-2026 12:00 PM
Zoom Link/ Room Assignment
Online - https://zoom.us/j/92594857524 Meeting ID: 925 9485 7524 | Passcode: research
Abstract/Executive Summary
Climate change caused by the increasing presence of atmospheric carbon dioxide (CO₂) emissions continues to drive the need for sustainable carbon sequestration methods. This study investigated the potential of lactic acid-leached dolomite for carbon sequestration through computational molecular modeling and simulation. Specifically, determining whether surface modification using lactic acid could improve the interaction between dolomite and CO₂. Molecular structures of dolomite, lactic acid, and CO₂ were both manually built and obtained from scientific databases and optimized using Avogadro software, while Density Functional Theory (DFT)-based single-point energy calculations were performed through ORCA using the revPBE/def2-TZVP level of theory. Sequentially, adsorption energies were calculated to evaluate the favorability of CO₂ interaction in untreated and lactic acid-modified dolomite systems. Results showed that both systems produced positive adsorption energy values, indicating weak thermodynamic interactions under the modeled conditions. However, the lactic acid-modified dolomite system produced a lower value (+0.219946 Eh) than untreated dolomite (+0.243216 Eh), suggesting improved CO₂ interaction after modifications. These findings suggest that lactic acid influences the molecular interaction of dolomite toward CO₂ and demonstrate the potential of computational modeling as a theoretical approach for evaluating mineral-based carbon sequestration.
Keywords
computational chemistry; carbon sequestration; dolomite
Initial Consent for Publication
yes
Statement of Originality
yes
A Simulation-Based Analysis of Dolomite, Lactic Acid, and Carbon Dioxide for Potential Carbon Sequestration Application
Climate change caused by the increasing presence of atmospheric carbon dioxide (CO₂) emissions continues to drive the need for sustainable carbon sequestration methods. This study investigated the potential of lactic acid-leached dolomite for carbon sequestration through computational molecular modeling and simulation. Specifically, determining whether surface modification using lactic acid could improve the interaction between dolomite and CO₂. Molecular structures of dolomite, lactic acid, and CO₂ were both manually built and obtained from scientific databases and optimized using Avogadro software, while Density Functional Theory (DFT)-based single-point energy calculations were performed through ORCA using the revPBE/def2-TZVP level of theory. Sequentially, adsorption energies were calculated to evaluate the favorability of CO₂ interaction in untreated and lactic acid-modified dolomite systems. Results showed that both systems produced positive adsorption energy values, indicating weak thermodynamic interactions under the modeled conditions. However, the lactic acid-modified dolomite system produced a lower value (+0.219946 Eh) than untreated dolomite (+0.243216 Eh), suggesting improved CO₂ interaction after modifications. These findings suggest that lactic acid influences the molecular interaction of dolomite toward CO₂ and demonstrate the potential of computational modeling as a theoretical approach for evaluating mineral-based carbon sequestration.
https://animorepository.dlsu.edu.ph/conf_shsrescon/2026/BoA_SEE/13