EGU23-1939
https://doi.org/10.5194/egusphere-egu23-1939
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Semi-and intermediate- volatility organic compounds from Chinese domestic cooking emissions and their contribution to secondary organic aerosols

Song Guo1, Kai Song1, Yuanzheng Gong1, Daqi Lv1, Yuan Zhang1, Zichao Wan1, Tianyu li1, Wenfei Zhu1, Hui Wang1, Ying Yu1, Rui Tan1, Ruizhe Shen1, Sihua Lu1, Yunfa Chen2, and Min Hu1
Song Guo et al.
  • 1Peking University, State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Beijing, China (songguo@pku.edu.cn)
  • 2Institute of Process Engineering, Chinese Academy of Sciences, State Key Laboratory of Multiphase Complex Systems

To elucidate the molecular chemical compositions, volatility-polarity distributions, as well as influencing factors of Chinese cooking emissions, a comprehensive cooking emission experiment was conducted. Volatile organic compounds (VOCs), intermediate volatility, and semi-volatile organic compounds (I/SVOCs) from cooking fumes were analyzed by a thermal desorption comprehensive two-dimensional gas chromatography coupled with quadrupole mass spectrometer (TD-GC×GC-qMS). Emissions from four typical Chinese dishes, i.e., fried chicken, Kung Pao chicken, pan-fried tofu, and stir-fried cabbage were investigated to illustrate the impact of cooking style and material. Fumes of chicken fried with corn, peanut, soybean, and sunflower oils were investigated to demonstrate the influence of cooking oil. A total of 201 chemicals were quantified. Kung Pao chicken emitted more pollutants than other dishes due to its rather intense cooking method. Aromatics and oxygenated compounds were extensively detected among meat-related cooking fumes, while a vegetable-related profile was observed in the emissions of stir-fried cabbage. Ozone formation potential (OFP) was dominated by chemicals in the VOC range. 10.2% - 32.0% of the SOA estimation could be explained by S/IVOCs. Pixel-based partial least squares-discriminant analysis (PLS-DA) and multiway principal component analysis (MPCA) were utilized for sample classification and component identification. The results indicated that the oil factor explained more variance of chemical compositions than the cooking style factor. MPCA results emphasize the importance of the unsaturated fatty acid-alkadienal-volatile products mechanism (oil autooxidation) accelerated by the cooking and heating procedure.

How to cite: Guo, S., Song, K., Gong, Y., Lv, D., Zhang, Y., Wan, Z., li, T., Zhu, W., Wang, H., Yu, Y., Tan, R., Shen, R., Lu, S., Chen, Y., and Hu, M.: Semi-and intermediate- volatility organic compounds from Chinese domestic cooking emissions and their contribution to secondary organic aerosols, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-1939, https://doi.org/10.5194/egusphere-egu23-1939, 2023.