刘佳荣1, 李浩2
1.赤峰大学 资源环境与建筑工程学院, 内蒙古 赤峰024000;2.中国科学院 生态环境研究中心, 环境模拟与污染控制全国重点联合实验室, 北京 100085
引用格式:
刘佳荣, 李浩. 气液界面硫酸盐气溶胶形成时过渡金属催化和过氧化物氧化路径分子机制研究进展[J]. 中国粉体技术, 2027, 33(2): 1-14.
Liu Jiarong, Li Hao. Research progress on molecular mechanisms of transition metal‑catalyzed and peroxide‑mediated pathways in sulfate aerosol formation at gas-liquid interface[J]. China Powder Science and Technology, 2027, 33(2): 1-14.
DOI:10.13732/j.issn.1008-5548.2027.02.017
收稿日期: 2026-08-16, 修回日期: 2026-09-08, 上线日期: 2026-10-11。
基金项目: 国家自然科学基金项目,编号:22476201、22666001、22206017;内蒙古自治区社会科学基金项目,编号:2026AY36;内蒙古自治区自然科学基金项目,编号:2026MS0136;内蒙古自治区教育科学研究“十五五”规划课题,编号:NGJGH2026274。
第一作者: 刘佳荣(1993—),女(蒙古族),副教授,理学博士,研究方向为大气颗粒物的形成机制。E-mail:liujiarong@cfu.edu.cn。
通信作者: 李浩(1990—),女,副研究员,理学博士,硕士生导师,中国科协青年托举人才,研究方向为大气颗粒物的形成机制。E-mail:haol@rcees.ac.cn。
摘要: 【目的】 解析硫酸盐生成反应中的“界面反应为何更快”的微观机制,以及如何依托分子模拟手段从原子、电子层面揭示界面硫氧化的内在规律等。 【研究现状】 系统梳理气-水界面硫酸盐生成化学的最新研究进展,在研究方法层面区分传统实验、界面原位表征与理论计算3类手段的发展进程与各自局限,在反应机制层面重点剖析了过渡金属催化、过氧化物氧化2条典型界面反应路径,并结合作者团队密度泛函理论电子结构计算、玻恩-奥本海默分子动力学模拟及机器学习原子势开发方面的长期积累,对关键微观机制进行深入解读,揭示界面电场、局部溶剂化与配位结构调控硫酸盐生成动力学的内在规律,提出霾期间硫酸盐爆发式增长的额外来源。 【结论与展望】 提出当前对硫酸盐生成机制认知的局限:机器学习原子势泛化能力不足,难以支撑真实大气多组分共存条件下硫酸盐生成路径的系统模拟;多数研究局限于单一组分简化体系,尚不能定量厘清多金属、多元配体条件下硫酸盐生成的机制。认为后续应开发通用型机器学习原子势,构建多因子耦合的显式界面模型,补充大气模式所需的硫酸盐基元反应动力学参数,为成霾过程硫酸盐来源解析和精细化大气污染协同减排提供理论依据。
关键词: 硫酸盐; 非均相反应; 形成机制; 分子模拟; 过渡金属; 过氧化物
Abstract
Significance Sulfate is the most abundant water-soluble inorganic component of atmospheric fine particulate matter, and its formation mechanisms have long been a core issue in atmospheric pollution research. Of particular interest is why interfacial reactions proceed much faster than bulk reactions and what the underlying acceleration mechanisms are. Classical gas- and aqueous-phase frameworks describe dilute cloud water chemistry well, but they systematically underestimate sulfate production during heavy haze episodes. The gas-liquid interface provides a large reactive surface area and a unique microenvironment characterized by asymmetric solvation, strong interfacial electric fields, and ion enrichment, all of which can lower the oxidation barrier of S(IV). In addition, although experimental techniques can locate reaction sites and measure reaction rates, they cannot capture picosecond-scale intermediates or electron-transfer dynamics. Therefore, it is of great importance to use theoretical simulations to investigate the interfacial reaction mechanisms of sulfate formation.
Progress This review systematically summarizes advances in sulfate chemistry at the gas-liquid interface, with emphasis on three research approaches: traditional experiments, in situ interfacial characterization, and theoretical calculations. It focuses on two representative pathways, namely transition metal-catalyzed oxidation and peroxide-mediated oxidation. Drawing on the authors’ long-term expertise in density functional theory, Born-Oppenheimer molecular dynamics, and machine learning potentials, it interprets key microscopic mechanisms. Multiscale simulations have revealed how interfacial electric fields, local solvation, and coordination structures govern sulfate formation kinetics, identified an additional source of explosive sulfate growth during haze, and provided a critical basis for correcting model simulation biases.
Conclusions and Prospects Sulfate, as a crucial chemical component of fine particulate matter, not only plays a pivotal role in heavy haze formation but also significantly impacts regional and global climate by regulating cloud formation and development as cloud condensation nuclei. In recent years, the rapid advancement of multiscale theoretical simulation methods, including density functional theory, first-principles molecular dynamics, and machine learning atomic potentials, has provided essential technical support for elucidating the microscopic mechanisms of sulfate formation at the molecular and electronic levels at the gas-liquid interface. This has effectively addressed the inherent limitations of traditional experimental methods in capturing transient processes and disentangling multivariable coupling effects. However, existing theoretical research still has significant limitations and cannot fully elucidate the complex coupling effects of multiple components, factors, and processes in real atmospheric aerosol systems. Numerous key scientific issues remain in methodological optimization and the mechanistic analysis of complex systems, highlighting the urgent need for more systematic and in-depth research. This paper reviews two limitations in current research on sulfate formation mechanisms. Firstly, for real multi-component atmospheric systems, machine learning methods lack sufficient generalization ability. Secondly, most studies rely on simplified single-component models and are unable to quantitatively disentangle multi-metal and multi-ligand mechanisms. Future research should focus on developing generalizable machine learning capabilities, constructing explicit interface models for multi-factor coupling, and supplementing basic dynamic parameters for atmospheric models, thereby providing a theoretical foundation for source apportionment of sulfate during haze.
Keywords: sulfate; heterogeneous reaction; formation mechanism; molecular simulation; transition metal; peroxide
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