欢迎访问《生态学杂志》官方网站,今天是

生态学杂志 ›› 2026, Vol. 45 ›› Issue (8): 2769-2776.doi: 10.13292/j.1000-4890.202608.035

• 综合评述 • 上一篇    下一篇

三维荧光光谱在大气有机气溶胶研究中的应用

赵佳鸣,邓君俊*,吴礼彬,傅平青   

  1. (天津大学地球系统科学学院表层地球系统科学研究院, 天津 300072)

  • 出版日期:2026-08-10 发布日期:2026-08-20

Application of three-dimensional excitation-emission matrix fluorescence spectroscopy in the study of atmospheric organic aerosols.

ZHAO Jiaming, DENG Junjun*, WU Libin, FU Pingqing   

  1. (Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China).

  • Online:2026-08-10 Published:2026-08-20

摘要: 有机气溶胶作为大气气溶胶的重要组成部分,对其复杂来源及转化机制进行研究有着重要意义。三维荧光光谱具有检测灵敏、便捷且不破坏样品结构等特点,近年来广泛应用于有机气溶胶的组成、来源及转化机制研究。利用荧光参数、荧光峰识别、荧光区域积分及平行因子分析等方法,可以有效解析不同溶解性荧光组分的化学特征,分析不同来源样品荧光组成。三维荧光光谱法也可以与紫外-可见吸收光谱、红外光谱、气相色谱以及超高分辨质谱等手段相结合,揭示荧光发色团与光吸收特性、分子结构间的关系。针对当前研究体系及内容方面的不足,未来可进一步发展在线三维荧光检测技术,构建大气特异性荧光参数体系,拓展全溶解性组分的荧光表征,并结合机器学习等方法,深度挖掘荧光光谱-分子组成-环境效应之间的关联,深化对有机气溶胶来源及环境效应的认识,从而为区域污染治理和气候模型优化提供科学依据。


关键词: 大气颗粒物, 荧光发色团, 化学组成, 来源解析, 质谱

Abstract: As an important component of atmospheric aerosols, organic aerosols have complex sources and transformation mechanisms. Threedimensional excitation emission matrix fluorescence spectroscopy (3D-EEM), featuring high sensitivity, convenience, and nondestructive analysis of sample structures, has been widely used in studies to understand the composition, sources, and transformation mechanisms of organic aerosols. By integrating fluorescence parameters with analytical approaches such as peak identification, fluorescence regional integration (FRI), and parallel factor analysis (PARAFAC), the 3D-EEM technique could effectively elucidate the chemical characteristics of fluorescent components across different solubility fractions and quantify chemical composition of aerosols from diverse sources. Moreover, 3D-EEM has also been combined with complementary techniques, such as ultraviolet-visible (UV-Vis) absorption spectroscopy, infrared spectroscopy, gas chromatography, and ultra-high-resolution mass spectrometry, to reveal the relationships between fluorescent chromophores, light absorption properties, and molecular structures of aerosols. To address those gaps, future efforts should prioritize the development of online 3D-EEM monitoring techniques, establish fluorescence parameter frameworks tailored to atmospheric conditions, expand the fluorescence characterization of fully dissolved components, and integrate machine learning to explore the correlations among fluorescence spectra, molecular compositions, and environmental effects. These efforts will further enhance the understanding of the source apportionment and environmental effects of organic aerosols, providing scientific insights for regional pollution control and climate model optimization.


Key words: atmospheric particle, fluorophore, chemical composition, source apportionment, mass spectrometry