MASantos   This study presents several results related to the odorous impact derived from organic waste treatment and management plants carried out by the research group. Different raw materials were selected to evaluate the odorous impact and its relationship with their physico-chemical characterization or operational variables. Statistical evaluation through Principal Component Analysis (PCA) groups the odor by its origin or raw material.

   In addition, the analysis allows relating the odor with the operational variables, being the odor emission rate (OER, ouE/s) and dynamic respirometric index (DRI, mg O2/gVS·h) the most influential variables in sample variance. NIR technology has demonstrated to be a useful tool to differentiate the chemical composition of the substrates.

M. Toledo, M.C. Gutiérrez*, A.F. Chica, J.A. Siles, M.A. Martín

Universidad de Córdoba. Facultad de Ciencias. Departamento de Química Inorgánica e Ingeniería Química (Área de Ingeniería Química). Campus Universitario de Rabanales. Carretera N-IV, km 396, Edificio Marie Curie, 14071 Córdoba, Spain. *

Companioni 00   In this study, the application of the technique Gas Chromatography coupled to Ion Mobility Spectrometry (GC-IMS), for the detection of odorous volatile compounds in the indoor air of an urban waste treatment facilities, was evaluated.

   For the identification of the detected compounds, data obtained from GC-IMS and Gas Chromatography - Time of Flight Mass Spectrometry (GC-ToFMS) were used. Results obtained demonstrated that the technique GC-IMS allows the detection of different types or odorous compounds such as: alcohols, ketones, terpenes and esters, arising from treatment processes of urban waste.

Eloy Y. Companioni Damas*, Estel·la Pagans Miró, Carmen Villatoro González, Luciano Vera Carrasco.

*Odournet. SL. Parque Empresarial Trade Center. Avenida de las Cortes Catalanas, 5-6, 08173 Sant Cugat del Vallès · Spain

sesion04 palacios04   The SulfSCAN project presented in this article proposes a new approach to obtaining concentration maps by deploying a network of low cost olfactory sensors, and the development of atmospheric modeling tools to estimate the dispersion of odors in real time.


C. Palacios1, J. G. Monroy2, J. Gonzalez-Jimenez2, J. Olalla3 and Antonio J. Moyano1

1. Empresa Municipal de Aguas de Málaga S.A. (EMASA), Málaga.
2. Departamento de Ingeniería de Sistemas y Automática, Universidad de Málaga.
3. European Management Consulting, grupo Top-Digital, Málaga.

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