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. *firstname.lastname@example.org