Water-Soluble Nitrogen-Containing Organic Compounds in Biomass-Combustion-Derived PM2.5 Characterized by FT-ICR MS with Multiple Ionization Sources

IF 8.8 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Environmental Science & Technology Letters Environ. Pub Date : 2025-06-20 DOI:10.1021/acs.estlett.5c00484

Jin Liu, Rui Liu, Chao Ma, Shihui Feng, Ning Yang, Libin Wu, Junjun Deng, Wei Hu, Weiqi Xu, Yele Sun and Pingqing Fu*,

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Abstract

Nitrogen-containing organic compounds (NOCs) emitted from biomass combustion contribute significantly to air pollution, yet their comprehensive characterization remains limited. In this study, NOCs in PM_2.5 derived from combustion of pine wood and wheat straw were characterized using Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) coupled with six ionization modes, including electrospray ionization positive (+ESI) and negative (−ESI) modes, matrix-assisted laser desorption/ionization positive (+MALDI) and negative (−MALDI) modes, atmospheric-pressure photoionization positive mode (+APPI), and atmospheric-pressure chemical ionization positive mode (+APCI). This study marks the first application of FT-ICR MS with six ionization modes for biomass-combustion-derived PM_2.5 characterization. We have successfully established a more comprehensive formula inventory for CHON molecules, including 7486 from pine wood combustion and 8341 from wheat straw combustion. These represent increases of 55.4–717% and 42.3–424%, respectively, compared to the numbers of formulas detected by the individual ionization modes. Furthermore, NOCs with varying oxidation states and volatilities exhibit distinct detection performance across the six ionization modes, offering deeper insights into their characteristics and enhancing the data support for the interpretation of atmospheric chemical processes.

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多电离源FT-ICR MS表征生物质燃烧衍生PM2.5中水溶性含氮有机化合物

生物质燃烧排放的含氮有机化合物（NOCs）对空气污染有重要贡献，但其综合表征仍然有限。本研究利用傅里叶变换离子回旋共振质谱（FT-ICR MS）对松木和麦秸燃烧产生的PM2.5中的NOCs进行了表征，并结合6种电离模式，包括电喷雾电离正（+ESI）和负（- ESI）模式、基质辅助激光解吸/电离正（+MALDI）和负（- MALDI）模式、大气压光电离正模式（+APPI）、大气压化学电离正模式（+APCI）。这项研究标志着FT-ICR质谱在六种电离模式下首次应用于生物质燃烧衍生的PM2.5表征。我们已经成功建立了更全面的CHON分子配方清单，其中7486来自松木燃烧，8341来自麦秸燃烧。与单个电离模式检测到的分子式数量相比，分别增加了55.4-717%和42.3-424%。此外，具有不同氧化态和挥发性的noc在六种电离模式中表现出不同的检测性能，从而更深入地了解其特征，并增强了对大气化学过程解释的数据支持。

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来源期刊

Environmental Science & Technology Letters Environ. ENGINEERING, ENVIRONMENTALENVIRONMENTAL SC-ENVIRONMENTAL SCIENCES

CiteScore

17.90

自引率

3.70%

发文量

163

期刊介绍： Environmental Science & Technology Letters serves as an international forum for brief communications on experimental or theoretical results of exceptional timeliness in all aspects of environmental science, both pure and applied. Published as soon as accepted, these communications are summarized in monthly issues. Additionally, the journal features short reviews on emerging topics in environmental science and technology.