{"title":"用cosmos - rs模型筛选离子液体作为醋酸正丁酯可持续生产催化剂。","authors":"Anantharaj Ramalingam, Achsah Rajendran Startha Christabel, Gayathri Mahavishnu","doi":"10.1007/s00894-025-06434-4","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><p>A total of 42 cations and 32 anions resulting in 1344 possible combinations were screened for green esterification process via the conductor-like screening model for real solvents (COSMO-RS model). The esterification reactants and products; n-butanol (n-BuOH), acetic acid (HAc), and n-butyl acetate (n-BuAc) in different combination of cation and anions were used to predict the activity coefficient at infinite dilution (IDAC) with the help of screening charge density. From the predicted IDAC values, the selectivity (S), capacity (C), and performance index (PI) were calculated to screen potential ionic liquids (ILs) for the green esterification process. Further, the σ-profile, and σ-potential of ILs, reactants, and products were generated and analysed.</p><h3>Methods</h3><p>Molden Visualization Software, Gaussian 03 software, COSMOthermX (Version:19.0.5) were used to predict IDAC, sigma profile, and sigma potential. Hartree–Fock level and basis set 6-31G*. Density functional theory (DFT) with PBVP86 in combination with the basis set SVP (split valence polarised) and the density fitting basis set DGA1 (density gradient approximation)—#P BVP86/SVP/DGA1.</p></div>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"31 8","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Screening of ionic liquids as sustainable catalyst for production of n-butyl acetate using COSMO-RS model\",\"authors\":\"Anantharaj Ramalingam, Achsah Rajendran Startha Christabel, Gayathri Mahavishnu\",\"doi\":\"10.1007/s00894-025-06434-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Context</h3><p>A total of 42 cations and 32 anions resulting in 1344 possible combinations were screened for green esterification process via the conductor-like screening model for real solvents (COSMO-RS model). The esterification reactants and products; n-butanol (n-BuOH), acetic acid (HAc), and n-butyl acetate (n-BuAc) in different combination of cation and anions were used to predict the activity coefficient at infinite dilution (IDAC) with the help of screening charge density. From the predicted IDAC values, the selectivity (S), capacity (C), and performance index (PI) were calculated to screen potential ionic liquids (ILs) for the green esterification process. Further, the σ-profile, and σ-potential of ILs, reactants, and products were generated and analysed.</p><h3>Methods</h3><p>Molden Visualization Software, Gaussian 03 software, COSMOthermX (Version:19.0.5) were used to predict IDAC, sigma profile, and sigma potential. Hartree–Fock level and basis set 6-31G*. Density functional theory (DFT) with PBVP86 in combination with the basis set SVP (split valence polarised) and the density fitting basis set DGA1 (density gradient approximation)—#P BVP86/SVP/DGA1.</p></div>\",\"PeriodicalId\":651,\"journal\":{\"name\":\"Journal of Molecular Modeling\",\"volume\":\"31 8\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Molecular Modeling\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s00894-025-06434-4\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Modeling","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s00894-025-06434-4","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Screening of ionic liquids as sustainable catalyst for production of n-butyl acetate using COSMO-RS model
Context
A total of 42 cations and 32 anions resulting in 1344 possible combinations were screened for green esterification process via the conductor-like screening model for real solvents (COSMO-RS model). The esterification reactants and products; n-butanol (n-BuOH), acetic acid (HAc), and n-butyl acetate (n-BuAc) in different combination of cation and anions were used to predict the activity coefficient at infinite dilution (IDAC) with the help of screening charge density. From the predicted IDAC values, the selectivity (S), capacity (C), and performance index (PI) were calculated to screen potential ionic liquids (ILs) for the green esterification process. Further, the σ-profile, and σ-potential of ILs, reactants, and products were generated and analysed.
Methods
Molden Visualization Software, Gaussian 03 software, COSMOthermX (Version:19.0.5) were used to predict IDAC, sigma profile, and sigma potential. Hartree–Fock level and basis set 6-31G*. Density functional theory (DFT) with PBVP86 in combination with the basis set SVP (split valence polarised) and the density fitting basis set DGA1 (density gradient approximation)—#P BVP86/SVP/DGA1.
期刊介绍:
The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling.
Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry.
Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.