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传统溶剂分离含氮化合物的分子识别与萃取剂优选OA

Molecular recognition and extractant optimization for traditional solvent separation of nitrogen-containing compounds

中文摘要英文摘要

煤焦油与柴油中的含氮化合物兼具污染性与高值利用潜力,传统加氢脱氮虽能降低含氮量,但存在能耗高、易破坏杂环高值结构的弊端.针对此矛盾,本文以成本可控、工艺易放大的传统溶剂为研究对象,基于溶剂类导体屏蔽模型开展预筛选与分子机理分析,通过无限稀释活度系数表征溶解力、选择性及综合性能指数,定量评估其分离行为与驱动力.研究表明,传统溶剂的分离过程以氢键作用为主导:在酰胺体系中,N,N-二甲基甲酰胺对碱性含氮化合物分离效果最优,N-甲基吡咯烷酮更适配非碱性底物;在酸性体系中,H2SO4对两类底物的分离性能均显著优于HCl.分子表面电荷密度分析揭示,定向N-H…O=C氢键与质子化耦合氢键网络共同驱动传质过程.据此提出"供受体位点明确、相互作用强、可形成稳定氢键网络"的传统溶剂筛选准则,为含氮体系的溶剂快速筛选、复配设计及结构保持型高值化分离提供定量依据.

Nitrogen-containing compounds,which are ubiquitous in coal tar and diesel streams,represent species with both environmental concerns and high-value potential.Conventional hydrodenitrogenation is limited by high energy consumption and the degradation of valuable heterocyclic structures.To address these limitations,this study focused on economically viable and scalable traditional solvent systems for nitrogen removal.Using the COSMO-RS simulation,we conducted systematic solvent pre-screening and mechanistic analysis.Infinite dilution activity coefficients were employed to quantify solubility,selectivity,and a comprehensive performance index,thereby allowing the separation behaviors and driving forces to be elucidated.The results revealed that hydrogen-bonding interactions governed the separation efficiency.Among amide solvents,N,N-dimethylformamide(DMF)showed the best performance for basic nitrogen compounds,whereas N-methyl-2-pyrrolidone(NMP)performed optimally for non-basic species.In acidic media,sulfuric acid(H2SO4)outperformed hydrochloric acid(HCl)for both substrate types.Molecular surface charge distribution analysis indicateed that the key mechanisms involveed directed N-H…O=C hydrogen bonding and an enhanced mass-transfer process facilitated by a protonation-coupled hydrogen-bond network.Based on these insights,practical solvent-selection guidelines were proposed:Solvents with well-defined donor-acceptor sites,strong interaction capability,and the ability to form stable hydrogen-bonding networks should be prioritized.This study provided a quantitative basis for rapid solvent screening and formulation in nitrogen-containing systems and offered a practical pathway toward molecular-structure-preserving separation and valorization of heterocyclic nitrogen compounds.

齐宇宁;贝鹏志;姚辉;高晓露;邓莉莉;刘红晶;徐兴堂

沈阳工业大学石油化工学院,辽宁辽阳 111003沈阳工业大学石油化工学院,辽宁辽阳 111003沈阳工业大学石油化工学院,辽宁辽阳 111003沈阳工业大学石油化工学院,辽宁辽阳 111003沈阳工业大学石油化工学院,辽宁辽阳 111003沈阳工业大学石油化工学院,辽宁辽阳 111003太原理工大学省部共建煤基能源清洁高效利用国家重点实验室,山西太原 030024

化学化工

传统溶剂含氮化合物氢键溶剂筛选分离

traditional solventnitrogen-containing compoundshydrogen bondsolvent screeningseparation

《化工进展》 2026 (8)

4562-4573,12

辽宁省科技计划联合计划(2024-BSLH-201,2024JH2/102600215)省部共建煤基能源清洁高效利用国家重点实验室开放基金(MJNYSKL202509)辽宁省教育厅基本科研项目(LJ212510142013)国家自然科学基金青年基金(22308241)山西省基础研究计划(自由探索类)青年项目(202303021212037).

10.16085/j.issn.1000-6613.2025-1451

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