Significant N-containing brown carbon emission from heavy-duty diesel vehicles revealed by the molecular and chromophore analysis using ultra-high resolution mass spectrometry

Brown carbon (BrC) holds scientific significance by influencing radiative balance, cloud condensation dynamics, and regional air quality. This study demonstrated that heavy-duty diesel vehicles (HDDVs) emit substantially higher levels of light-absorbing carbonaceous aerosols under aggressive conditions, such as frequent acceleration and high-speed phases, by investigating the emission profiles, formula distribution, and chromophore characteristics under various driving conditions. A non-targeted analysis of BrC was performed using Fourier-transform ion cyclotron resonance mass spectrometry coupled with a soft electrospray ionization source. The light absorption properties were assessed and revealed significantly higher light absorption during frequent acceleration and high-speed phases compared to low-speed phases. Formula distribution analysis highlighted a substantial presence of nitrogen-containing species, constituting 53–65% of the identified peaks, with high O/N ratios ( $$\ge$$ 3), double bond equivalent values (DBE > 10), and aromaticity equivalent (Xc $$\ge$$ 2.5), which indicated the substantial contribution of aromatic structures, condensed aromatics, and nitrooxy functionalities to BrC chromophores.

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Publication Details

Journal
npj Climate and Atmospheric Science
Published
2025-05-27
DOI
https://doi.org/10.1038/s41612-025-01034-8
Citations
1
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
1.30

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article

Significant N-containing brown carbon emission from heavy-duty diesel vehicles revealed by the molecular and chromophore analysis using ultra-high resolution mass spectrometry

Jingkun Jiang, Xu-bing Cao, Xuan Zheng, Ye Wu et al.
1 citations
npj Climate and Atmospheric Science
Atmospheric chemistry and aerosols
1.30
article

Significant N-containing brown carbon emission from heavy-duty diesel vehicles revealed by the molecular and chromophore analysis using ultra-high resolution mass spectrometry

Jingkun Jiang, Xu-bing Cao, Xuan Zheng, Ye Wu, Yuan Cheng, Zhiyuan Li, Shuxiao Wang, Shuwen Guo, Xiao He, Ting Chen, Yan Ding, Bin Jiang
article en
1 citations

Abstract

Brown carbon (BrC) holds scientific significance by influencing radiative balance, cloud condensation dynamics, and regional air quality. This study demonstrated that heavy-duty diesel vehicles (HDDVs) emit substantially higher levels of light-absorbing carbonaceous aerosols under aggressive conditions, such as frequent acceleration and high-speed phases, by investigating the emission profiles, formula distribution, and chromophore characteristics under various driving conditions. A non-targeted analysis of BrC was performed using Fourier-transform ion cyclotron resonance mass spectrometry coupled with a soft electrospray ionization source. The light absorption properties were assessed and revealed significantly higher light absorption during frequent acceleration and high-speed phases compared to low-speed phases. Formula distribution analysis highlighted a substantial presence of nitrogen-containing species, constituting 53–65% of the identified peaks, with high O/N ratios ( $$\ge$$ 3), double bond equivalent values (DBE > 10), and aromaticity equivalent (Xc $$\ge$$ 2.5), which indicated the substantial contribution of aromatic structures, condensed aromatics, and nitrooxy functionalities to BrC chromophores.

npj Climate and Atmospheric ScienceVol. 8(1)
Sun Yat-sen University (CN), Shenzhen University (CN), Harbin Institute of Technology (CN), Guangzhou Institute of Geochemistry (CN), State Key Joint Laboratory of Environment Simulation and Pollution Control (CN), Chinese Research Academy of Environmental Sciences (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Shenzhen University, Chinese Research Academy of Environmental Sciences
Openalex Percentile: Top 22%
Atmospheric chemistry and aerosols
1.30
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