4.7 Article

FTIR analysis of surface functionalities on particulate matter produced by off-road diesel engines operating on diesel and biofuel

Journal

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 22, Issue 6, Pages 4534-4544

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-014-3688-8

Keywords

Diesel/biofuel emission; Off-road engine; Combustion nanoparticles; Particle composition; Environment pollution

Funding

  1. RFBR [12-05-00395_a]
  2. RFBR-NSC [12-05-92002]
  3. Czech Science Foundation [13-01438S]

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Fourier transform infrared spectroscopy is applied as a powerful analytic technique for the evaluation of the chemical composition of combustion aerosols emitted by off-road engines fuelled by diesel and biofuels. Particles produced by burning diesel, heated rapeseed oil (RO), RO with ethylhexylnitrate, and heated palm oil were sampled from exhausts of representative in-use diesel engines. Multicomponent composition of diesel and biofuel particles reveal the chemistry related to a variety of functional groups containing carbon, hydrogen, oxygen, sulfur, and nitrogen. The most intensive functionalities of diesel particles are saturated C-C-H and unsaturated C=C-H aliphatic groups in alkanes and alkenes, aromatic C=C and C=C-H groups in polyaromatics, as well as sulfates and nitrated ions. The distinguished features of biofuel particles were carbonyl C=O groups in carboxylic acids, ketones, aldehydes, esters, and lactones. NO2, C-N and -NH groups in nitrocompounds and amines are found to dominate biofuel particles. Group identification is confirmed by complementary measurements of organic carbon (OC), elemental carbon, and water-soluble ion species. The relationship between infrared bands of polar oxygenated and non-polar aliphatic functionalities indicates the higher extent of the surface oxidation of biofuel particles. Findings provide functional markers of organic surface structure of off-road diesel emission, allowing for a better evaluation of relation between engine, fuel, operation condition, and particle composition, thus improving the quantification of environmental impacts of alternative energy source emissions.

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