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Optimization of Programmed Temperature Vaporization Injection for Determination of Polycyclic Aromatic Hydrocarbons from Diesel Combustion Process

Author

Listed:
  • Yuehan Qiao

    (State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China)

  • Gang Lyu

    (State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China)

  • Chonglin Song

    (State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China)

  • Xingyu Liang

    (State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China)

  • Huawei Zhang

    (School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)

  • Dong Dong

    (Institute of High Energy Physics Chinese Academy of Science, Beijing 100049, China)

Abstract

In this study, programmed temperature vaporization in the solvent vent mode (PTV-SV) of gas chromatography-mass spectrometry was optimized and validated for the analysis of particle-phase and gas-phase polycyclic aromatic hydrocarbons from diesel engine combustion. Because of the large number of experimental and response variables to be studied, central composite inscribed design was used to optimize the PTV-SV injection factors, including initial inlet temperature, vaporization flow and time. The optimized PTV-SV method was validated by linearity, accuracy and sensitivity. For the 16 Polycyclic aromatic hydrocarbons (PAHs) studied, the correlation coefficients for the calibration plots of peak areas versus concentrations (0.5–300 ng mL −1 ) ranged from 0.9812–0.9998. Limits of detection ranged from 0.016–20,130.375 ng mL −1 , and limits of quantification ranged from 0.055–1.25 ng mL −1 . The optimized method was used for the analysis of real samples collected from a diesel engine, which included particle-phase and gas-phase PAHs. The results showed that the improved PTV-SV method was satisfying for simultaneously identifying and quantifying PAHs produced during diesel combustion.

Suggested Citation

  • Yuehan Qiao & Gang Lyu & Chonglin Song & Xingyu Liang & Huawei Zhang & Dong Dong, 2019. "Optimization of Programmed Temperature Vaporization Injection for Determination of Polycyclic Aromatic Hydrocarbons from Diesel Combustion Process," Energies, MDPI, vol. 12(24), pages 1-13, December.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4791-:d:298494
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    References listed on IDEAS

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    1. Hamisu Adamu Dandajeh & Midhat Talibi & Nicos Ladommatos & Paul Hellier, 2019. "Influence of Combustion Characteristics and Fuel Composition on Exhaust PAHs in a Compression Ignition Engine," Energies, MDPI, vol. 12(13), pages 1-19, July.
    2. Yaoyao Ying & Chenxuan Xu & Dong Liu & Bo Jiang & Pengfei Wang & Wei Wang, 2017. "Nanostructure and Oxidation Reactivity of Nascent Soot Particles in Ethylene/Pentanol Flames," Energies, MDPI, vol. 10(1), pages 1-16, January.
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    Cited by:

    1. Yi Dong & Jianmin Liu & Yanbin Liu & Xinyong Qiao & Xiaoming Zhang & Ying Jin & Shaoliang Zhang & Tianqi Wang & Qi Kang, 2020. "A RBFNN & GACMOO-Based Working State Optimization Control Study on Heavy-Duty Diesel Engine Working in Plateau Environment," Energies, MDPI, vol. 13(1), pages 1-24, January.

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