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Liu Y, Yang Z, Ju X, Cui B, Wang J, Wang D, Chen Z, Zhou A. Molecular simulation of the slurrying mechanism in microplastic semi-coke water slurry. J Mol Model 2024; 30:298. [PMID: 39103652 DOI: 10.1007/s00894-024-06100-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 07/31/2024] [Indexed: 08/07/2024]
Abstract
CONTEXT This study explores the interaction between particles in microplastic semi-coke water slurry at the molecular level using molecular simulation methods, specifically DFT calculations and MD simulations. In addition, the experiment of slurry preparation was carried out to study the viscosity and stability of the slurry. The electrostatic potential analysis shows that the interaction between microplastics and dispersant molecules occurs on atoms with large electronegativity or oxygen-containing functional groups, and the energy gap of frontier molecular orbitals indicated that PVC interacts most easily with the dispersant (0.39 eV), followed by PS (1.08 eV) and PET (3.65 eV). In addition, it is also noted that due to the steric hindrance effect, the adsorption energy was opposite to the DFT calculation results: PET was - 213.338 kcal/mol (NNO) which was highest, followed by PS (- 107.603 kcal/mol, NNO), and PVC (NNO) was lowest which was - 94.808 kcal/mol. And RDF shows similar results, which the probability of water molecules in the PET system was the highest, followed by PS, and finally, PVC. The MD results are consistent with the viscosity and stability characterization results of the slurry which PET has the lowest viscosity of 87.3 mPa·s. Finally, this study provides new ideas for the treatment of microplastics and the improvement of the performance of semi-coke water slurry and reveals the interaction mechanism between microplastics and semi-coke water slurry. METHODS All calculations were performed using Materials Studio (MS) version 2020 software, BIOVIA Corporation. The DFT calculation was carried out through the DMol3 module. The DFT calculations include electron density, electrostatics, orbitals, and population analysis. In DMol3 module, the GGA-PBE function was selected to consider gradient changes in density in the simulated calculation. The DFT-D correction was selected, and all electrons were calculated by DNP for accurate core potentials and the DNP file was 4.4. MD simulation was performed through the Forcite module. MD simulation mainly focuses on relative concentration distribution analysis, radial distribution function, and adsorption energy calculation. All molecular geometry optimizations are performed in the Forcite module. In the molecular dynamic part, all simulations used PCFF forcefield. The NVT ensemble was adopted and using the Nosé thermostat.
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Affiliation(s)
- Yuxi Liu
- College of Chemistry and Chemical Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China
| | - Zhiyuan Yang
- College of Chemistry and Chemical Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China.
- Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Natural Resources, Xi'an, 710021, Shaanxi, China.
| | - Xiaoqian Ju
- College of Chemistry and Chemical Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China
| | - Baolu Cui
- College of Chemistry and Chemical Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China
| | - Jingwen Wang
- College of Chemistry and Chemical Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China
| | - Dechao Wang
- College of Chemistry and Chemical Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China
| | - Zhiping Chen
- College of Chemistry and Chemical Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China
- Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Natural Resources, Xi'an, 710021, Shaanxi, China
| | - Anning Zhou
- College of Chemistry and Chemical Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China
- Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Natural Resources, Xi'an, 710021, Shaanxi, China
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Li D, Liu J, Chen C, Liu H, Lv H, Cheng J. Maximum solid concentrations of coal wastewater slurries predicted by optimized neural network based on wastewater composition data. CAN J CHEM ENG 2021. [DOI: 10.1002/cjce.24159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Dedi Li
- State Key Lab of Clean Energy Utilization Zhejiang University Hangzhou China
| | - Jianzhong Liu
- State Key Lab of Clean Energy Utilization Zhejiang University Hangzhou China
| | - Cong Chen
- State Key Lab of Clean Energy Utilization Zhejiang University Hangzhou China
| | - He Liu
- State Key Lab of Clean Energy Utilization Zhejiang University Hangzhou China
| | - Hanjing Lv
- State Key Lab of Clean Energy Utilization Zhejiang University Hangzhou China
| | - Jun Cheng
- State Key Lab of Clean Energy Utilization Zhejiang University Hangzhou China
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Wang S, Wu J, Liu J, Li N, Zeng X, Cen K. Effect of ammonia nitrogen and low-molecular-weight organics on the adsorption of additives on coal surface: A combination of experiments and molecular dynamics simulations. Chem Eng Sci 2019. [DOI: 10.1016/j.ces.2019.04.042] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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