分子间弱相互作用视角下的化工分离技术:理论、表征与应用

Separation techniques from perspective of weak intermolecular interactions: Theory, characterization and application

  • 摘要: 分子间弱相互作用作为非共价作用的核心组成部分,是调控物质结构稳定性与物理化学性质的关键因素。在化工反应中,通过精准调控氢键、范德华力、π−π堆积等弱相互作用强度,能够开发新型分离材料,实现高效转化和产物选择性的提升。近年来,随着红外光谱、紫外光谱、核磁共振波谱、太赫兹光谱等先进光谱学表征技术的显著进步,为复杂体系下弱相互作用的动态行为与调控机制提供了强有力的支撑。红外光谱适合快速判断氢键形成及强度变化,紫外光谱直接反映电子环境变化,核磁共振波谱能够精确识别局域环境中的分子间作用机制,太赫兹光谱则在探测弱相互作用的动态演变和集体振动方面具有独特优势,四者在实际操作中应用广泛、相辅相成;而量子化学计算与分子模拟方法的融合,为研究者提供了新的印证思路。量子化学计算从微观角度出发,结合光谱学可视化技术,与实验结果形成互补,进一步实现了从电子层面揭示作用机制并精准预测分离性能,推动分离科学由经验导向迈向理性设计。在分离领域中,通过定向调控氢键、疏水、范德华及π−π堆积等相互作用,已在萃取分离、吸附分离、膜分离等重要化工过程中实现了分离效率与选择性的显著提升,在降低能耗、减少副产物生成等方面展现出显著优势,为绿色低碳分离技术的开发提供了有效途径。但是,当前基于分子间弱相互作用的分离技术仍面临识别选择性差、传质速率低、实际生产应用困难等问题。解决这些问题需要从分子间弱相互作用的本质出发,结合先进表征技术以及多学科交叉等研究方法,深入探究分子间弱相互作用的多尺度机制与精准调控策略。因此,分子间弱相互作用在分离领域的应用不仅有助于突破传统分离技术瓶颈,更对实现高端化学品绿色制造、碳中和背景下的能源产品纯化等国家重大需求具有重要战略意义,以推动化工分离领域向高效、智能与可持续方向跨越发展。

     

    Abstract: As a core component of non-covalent forces, intermolecular weak interactions play a pivotal role in regulating material structural stability and macroscopic properties. In chemical reactions, weak interactions including hydrogen bonds, van der Waals forces, and π−π stacking enable precise control of interaction strength and development of novel separation materials, thereby enhancing conversion efficiency and product selectivity. In recent years, significant advances in infrared spectroscopy, ultraviolet spectroscopy, nuclear magnetic resonance (NMR), and terahertz characterization techniques have substantially deepened our understanding of the dynamic behavior and regulatory mechanisms of weak interactions in complex systems. Infrared spectroscopy facilitates rapid assessment of hydrogen bond formation and strength changes, while ultraviolet spectroscopy directly reflects alterations in electronic environments. NMR spectroscopy enables precise identification of intermolecular interaction mechanisms in localized environments, and terahertz spectroscopy demonstrates unique advantages in detecting dynamic evolution and collective vibrations of weak interactions. These four techniques are widely applied in practice and complement each other. The integration of quantum chemical calculations and molecular simulation methods offers researchers new perspectives. Quantum chemical calculations, grounded in microscopic analysis and enhanced by spectroscopic visualization, synergize with experimental data to reveal interaction mechanisms at the electronic level and accurately predict separation performance, driving separation science from empirical approaches toward rational design. In the field of separation technology, targeted regulation of hydrogen bonding, hydrophobic interactions, van der Waals forces, and π−π stacking has significantly enhanced separation efficiency and selectivity in critical chemical processes such as extraction, adsorption, and membrane separation. This approach demonstrates notable advantages in reducing energy consumption and minimizing by-product formation, providing an effective pathway for developing green and low-carbon separation technologies. However, current separation techniques based on weak intermolecular interactions still face challenges including poor recognition selectivity, low mass transfer rates, and practical production difficulties. Addressing these issues requires fundamental exploration of the nature of weak intermolecular interactions, combined with advanced characterization techniques and interdisciplinary research methods to investigate multi-scale mechanisms and precise control strategies. Therefore, the application of weak intermolecular interactions in separation intermolecular weak interactions will not only help overcome the limitations of conventional separation technologies, but also hold strategic importance for addressing national priorities such as green manufacturing of high-value chemicals and purification of energy-relevant gases under carbon neutrality goals. It is expected that such efforts will propel the field of chemical separation toward greater efficiency, intelligence, and sustainability.

     

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