Die Gaschromatographie in Kombination mit der Ionenmobilitätsspektrometrie (GC-IMS) gibt es schon seit einiger Zeit und wurde in mehreren Projekten eingesetzt, um den Fingerabdruck von Gerüchen zu erkennen.  Vor kurzem wurde in einer wegweisenden Arbeit das GCIMS R-Paket vorgestellt, ein Open-Source-Tool, das die Datenverarbeitung für diese hochmoderne Technologie vereinfachen soll.

   GC-IMS ermöglicht die Untersuchung flüchtiger organischer Verbindungen (VOCs) in Biofluiden, was oft als "Volatilomik" bezeichnet wird. Diese Verbindungen tragen zu den charakteristischen Gerüchen von Atemluft, Speichel, Schweiß und mehr bei. Änderungen in der Zusammensetzung dieser VOCs sind ein Indikator für verschiedene Gesundheitszustände und können für die Diagnose von Krankheiten und die Überwachung von Medikamenten genutzt werden.

   Determining the emission impact of area sources (biofilters, wastewater tanks) on air quality and the environment by classic measurement techniques (i.e. static hood sampling), is currently lacking in pertaining uniform and representative emission data by being restricted in sampling area, time and safety. This creates an extra hindrance when emission rates from such sources need to be determined by the fluxwindow method, which implies measuring emission concentrations up- and downwind along different horizontal and vertical profiles of the area source.

   In an effort to improve on this matter, the possibility of using a drone equipped with an emission detection laboratory (OLFASCAN Flying Lab) to quantify emission concentrations and rates via the fluxwindow method from a sludge buffer tank was investigated. The OLFASCAN Flying Lab is equipped with several electrochemical sensors for performing air quality measurements and was attached to a DJI Matrice600 PRO RTK drone.

   In industrialized cities, there are many possible sources of odorous compounds, such as steel and pelletizing industries, wastewater treatment plants, landfills, and harbors. For most of these sources, limited data is available on odours emissions in inventories. To estimate odorous VOCs in gaseous emissions from industries it is necessary to identify which VOCs are emitted and are odorous.

   Although reasonably simple, there are few papers addressing this issue. Thus, this study aimed to categorize chemically the VOCs and TRS emissions from major activities in an industrialized urban area of Brazil, crossing references with U.S. EPA - AP 42 documents, SPECIATE 4.5 database, and literature available.

D. F. Monticelli1*, B. Furieri1, V. F. Lavor1, E. V. Goulart1, J. M. Santos1, N. C. Reis Jr1, E. S. Galvão1, E. Lopes3, M. M. Melo2

1 Universidade Federal do Espírito Santo, Goiabeiras, Vitória, Brazil
2 Instituto Federal do Espírito Santo, Guarapari, Aeroporto, Guarapari, Brazil
3 ArcelorMittal Tubarão, Polo Industrial, Serra, Brazil

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