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Spectrometric analysis reveals molecular profiles of solid fuel combustion emissions, indicating improved accuracy in predicting secondary organic aerosol formation.
The major fraction of intermediate and semi‐volatility organic compounds (I/SVOCs) is still unresolved by traditional analyses, leaving large unresolved complex mixture (UCM) and limiting the estimation of secondary organic aerosol (SOA). This study addressed the UCM by employing two‐dimensional gas chromatography−time‐of‐flight mass spectrometry. The ratios of UCM in I/SVOCs emitted from household burning of biomass and coal were reduced to 1.0 ± 0.3% and 2.1 ± 2.0%, respectively, and these levels are one order of magnitude less than those reported in previous studies. Phenols, polycyclic aromatic hydrocarbons, and ketones made the major contribution to I/SVOCs emission factors (EFs) (65.9 ± 9.6%) for biomass burning, while amides, acids, and esters constituted the majority of EFs (56.5 ± 45.0%) for coal burning. Furthermore, SOA production can be predicted via the highly identified I/SVOCs compounds based on volatility distributions of each speciated species. These majority compounds contribute the predicted SOA production with 76.0 ± 12.7% and 82.0 ± 60.3% for biomass and coal burning, respectively. Underestimated SOA production with the ratio of 62.5 ± 25.2% to 80.9 ± 2.8% via previous Bins method has been well addressed. The obtained results suggest that the nontarget analysis can significantly improve the accuracy of I/SVOCs estimation and environmental impacts by addressing chemical components at the molecular level.
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Huo et al. (2021) studied this question.
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