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Multichannel raman gas sensor for quantitative air pollution monitoring

Objetivo



The quantitative measurement of air pollution contaminants is becoming of evergrowing importance, especially in densely populated areas with a large traffic impact and with numerous industrial sources for air pollution.

Raman scattering can be used for laboratory quantitative monitoring of gases, vapours, liquids and solid specimens in mixtures with great accuracy and high resolution at reasonable costs. The project aims to develop and evaluate a low-priced, transportable multigas sensor for a broad field use for environmental air pollution monitoring, based on the principle of laser Raman scattering, for simultaneous measurements of several gases with auto-calibration and drift-compensation. To prove the technical and economical feasibility of this technique in these prototype development phase and field test phase all components have to be optimized to increase the overall efficiency and to decrease the input power needed with the effect of lower costs and longer Mean Time Between Failure (MTBF) values.

At least combinations of the following gases SO2, NOx, CO, O3, CO2, NH3, H2S, benzene or other volatile hydrocarbons have to be measured at 0,1-1 ppm levels, with the possibility of new measurements after ten minutes and MTBF times > 1 year. The nitrogen concentration can be used as a reference for overall drift control of all gas-specific channels.

The Raman multigas sensor comprises several unique features. One is to use an extra cavity multipass sampling compartment which can be designed economically up to multipass factor of better than 50, and in addition each detection channel consists of a set of interference filters which provide a straylight reduction of better than 1E{-8}.

Tema(s)

Data not available

Convocatoria de propuestas

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Régimen de financiación

CSC - Cost-sharing contracts

Coordinador

Laser- und Medizin Technologie gGmbH
Aportación de la UE
Sin datos
Dirección
Krahmerstrasse
12207 Berlin
Alemania

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Coste total
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Participantes (2)