EGU General Assembly 2020
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Stable carbon δ13C analysis of automotive particulate matter emissions under controlled conditions

Laurynas Bučinskas1,3, Jonas Matijošius2, and Andrius Garbaras1,3
Laurynas Bučinskas et al.
  • 1Department of Nuclear Research, Center for Physical Sciences and Technology, Vilnius, Lithuania
  • 2Faculty of Transport Engineering, Vilnius Gediminas Technical University, Vilnius, Lithuania
  • 3Faculty of Physics, Vilnius University, Vilnius, Lithuania

Excessive automotive engine exhaust emissions of gases and particulate matter (PM) pose a threat to public health and urban air quality. In an effort to reduce automotive emissions modern cars use a variety of engine modifications, catalytic systems and filters which in turn alter the isotope ratio of carbonaceous particles (isotope fractionation effect). Diesel engines are of particular interest due to higher production of particulates (soot) in comparison to gasoline engines [1].

The aim of this work was to examine particulate matter δ13C variation in automotive emissions using stable carbon isotope ratio measurements. Emission experiments were performed in dynamometer laboratory using four light passenger vehicles with differing liquid fuels - diesel, diesel with additives, 92 RON and 95 RON. Vehicles were tested with varying engine power and using simulated transient cycles in urban and rural areas. Engine exhaust particulate matter was collected on quartz filters. Later, isotope ratio δ13C values of fuel and exhaust carbonaceous particulates were measured using IRMS. δ13C values were then compared and level of isotope fractionation determined.

The obtained results show particulate matter δ13C values ranging from -28.8 ‰ to -27.2 ‰ during separate driving modes. Isotope fractionation Δ (particulates-fuel) values varied between 1.8 ‰ and 3.5 ‰. It was determined that δ13C values of automotive emissions depend on the type of fuel used, applied engine power, driving modes (urban, rural) and can be used to characterize automotive carbonaceous particle emissions.


[1]             M. V. Twigg, “Progress and future challenges in controlling automotive exhaust gas emissions,” Appl. Catal. B Environ., 2007.

How to cite: Bučinskas, L., Matijošius, J., and Garbaras, A.: Stable carbon δ13C analysis of automotive particulate matter emissions under controlled conditions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21320,, 2020.

This abstract will not be presented.