The association between the diesel exhaust particle exposure from bus emission and the tubular epithelial cell deformation of rats.

The diesel vehicle emissions regarding particles have become a problem due to human health adversely. Especially ultrafine particles (diameter ≤ 100 nm) can deeply penetrate the human body leading to cell deformation. Investigation of the diesel ultrafine particle exposure to the cell deformation has become a challenge to build up understanding the impacts of ultrafine particles on human health.

Varied dose exposures to ultrafine particles in the motorcycle smoke cause kidney cell damages in male mice.

Ultrafine particles (UFPs) are one of motorcycle exhaust emissions which can penetrate the lung alveoli and deposit in the kidney. This study was aimed to investigate mice kidney cell physical damage (deformation) due to motorcycle exhaust emission exposures. The motorcycle exhaust emissions were sucked from the muffler with the rate of 33 cm/s and passed through an ultrafine particle filter system before introduced into the mice exposure chamber.

A study of the correlation between ultrafine particle emissions in motorcycle smoke and mice erythrocyte damages.

Sharply increasing of motor vehicles every year contributes to amounts of ultrafine particles (UFPs) in the air. Besides, the existence of UFPs in the blood may cause erythrocyte damages that subject to shape deformation. This study was aimed to investigate the influence of UFPs in the motorcycle smoke exposed to mice in different concentrations to the erythrocyte damages.

Quantification of particle number and mass emission factors from combustion of Queensland trees.

The quantification of particle emission factors under controlled laboratory conditions for burning of the following five common tree species found in South East Queensland forests has been studied: Spotted Gum (Corymbia citriodora), Blue Gum (Eucalyptus tereticornis), Bloodwood (Eucalyptus intermedia), Iron Bark (Eucalyptus crebra), and Stringybark (Eucalyptus umbra). The results of the study show that the particle number emission factors and PM2.5 mass emission factors depend on the type of tree and the burning rate.