| Literature DB >> 22163437 |
Geórgia Mothé1, Maria Castro, Marcelo Sthel, Guilherme Lima, Laisa Brasil, Layse Campos, Aline Rocha, Helion Vargas.
Abstract
Atmospheric pollution is one of the worst threats to modern society. The consequences derived from different forms of atmospheric pollution vary from the local to the global scale, with deep impacts on climate, environment and human health. Several gaseous pollutants, even when present in trace concentrations, play a fundamental role in important processes that occur in atmosphere. Phenomena such as global warming, photochemical smog formation, acid rain and the depletion of the stratospheric ozone layer are strongly related to the increased concentration of certain gaseous species in the atmosphere. The transport sector significantly produces atmospheric pollution, mainly when diesel oil is used as fuel. Therefore, new methodologies based on selective and sensitive gas detection schemes must be developed in order to detect and monitor pollutant gases from this source. In this work, CO(2) Laser Photoacoustic Spectroscopy was used to evaluate ethylene emissions and electrochemical analyzers were used to evaluate the emissions of CO, NO(x) and SO(2) from the exhaust of diesel powered vehicles (rural diesel with 5% of biodiesel, in this paper called only diesel) at different engine rotation speeds. Concentrations in the range 6 to 45 ppmV for ethylene, 109 to 1,231 ppmV for carbon monoxide, 75 to 868 ppmV for nitrogen oxides and 3 to 354 ppmV for sulfur dioxide were obtained. The results indicate that the detection techniques used were sufficiently selective and sensitive to detect the gaseous species mentioned above in the ppmV range.Entities:
Keywords: diesel engines; electrochemical sensors; photoacoustic sensors
Mesh:
Substances:
Year: 2010 PMID: 22163437 PMCID: PMC3230984 DOI: 10.3390/s101109726
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.576
Figure 1.Scheme of the photoacoustic experimental setup.
Figure 2.Resonance curve showing the photoacoustic signal variation with the chopper modulation frequency.
Figure 3.Calibration curve for ethylene (detection limit).
Figure 4.Detection scheme of an electrochemical sensor.
Lists all vehicles from where the gas samples were collected, divided into groups.
| 1 | Bus | 1996 | 1 | Truck | 2006 | ||
| 2 | Bus | 1997 | 2 | Truck | 2006 | ||
| 3 | Bus | 2006 | 3 | Truck | 2002 | ||
| 4 | Bus | 2001 | 4 | Bus | 2004 | ||
| 5 | Bus | 2006 | 5 | Bus | 2005 | ||
| 6 | Bus | 2003 | 6 | Bus | 2004 | ||
| 1 | Van | 2004 | 1 | Bus | 2006 | ||
| 2 | Van | 1997 | 2 | Bus | 2006 | ||
| 3 | Van | 2007 | 3 | Bus | 1980 | ||
| 4 | Van | 2001 | 4 | Bus | 1989 | ||
| 5 | Van | 1999 | 5 | Bus | 1985 | ||
| 6 | Van | 1997 | 6 | Bus | 1981 |
Figure 5.Carbon monoxide gas concentration [ppmV].
Figure 7.Sulfur dioxide gas concentration [ppmV].
Figure 6.Nitrogen oxide gas concentration [ppmV].
Figure 8.Carbon monoxide concentrations [ppmV].
Figure 9.Nitrogen oxides concentrations [ppmV].
Figure 10.Sulfur dioxide gas concentrations [ppmV].
Figure 11.Nitrogen oxides gas concentrations [ppmV].