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2. Main odorous volatile organic compounds emitted in municipal solid waste composting: Influence of process control parameters

Author

Delgado Rodríguez, Margarita, Cabeza, I. O., Ruiz Montoya, M., Giráldez, I., López Núñez, Rafael, Madejón, Engracia, and Díaz Blanco, M. J.

Subjects
Composting, VOC, Minimización, COV, Odor, Minimisation, Compostaje, MSW, RSU
Abstract

9 páginas, 9 figuras, 2 tablas, 16 referencias., [EN]: The relative statistical influence of control parameters, used in industrial composting of Municipal Salid Waste (MSW), such as aeration (0.05-0.300 Lair kg-1 min-1) and moisture content (40-70%) on the amount and composition of the gases and odorous volatile organic compounds (COVs) generated in this process have been studied. Specifically the evolution of limonene, ß-pinene, 2-butanone, undecane, phenol, toluene, dimethyl-sulfide and dimethyl-disulfide has been studied. The greatest amount of odor-generating compounds was emitted into the initial mesophilic-thermophilic phase and, after that, a continuous decrease has been observed during the mesophilic phase. Aeration has higher statistical influence on the composition of the studied gases generated than that of moisture. A high level of aeration (0.300 Lair kg-1 min-1) caused high emissions of the studied gases. Moreover under low aeration levels (0.05 Lair kg-1 min-1) certain anaerobic stages have been found during the thermophilic phase., [ES]: En el presente estudio se ha evaluado la influencia de los parámetros de control utilizados en el compostaje de Residuos Sólidos Urbanos (RSU), como son la aireación (0.05-0.300 Laire kg-1 min-1) y la humedad (40-70%) en la cantidad y composición de los gases y compuestos orgánicos volátiles olorosos generados en este proceso. Concretamente se ha estudiado la evolución de limoneno, ß-pineno, 2-butanona, undecano, fenol, tolueno, sulfuro de dimetilo y disulfuro de dimetilo sulfuro de dimetilo. La mayor cantidad de gases generadores de olor se emitieron en la etapa mesófila inicial y en la termófila decreciendo la cantidad de éstos durante la etapa de maduración. Los cambios en la aireación presentaron, tras su análisis estadístico, una mayor influencia en la variación de la composición de los gases generados que la provocada por los cambios en la humedad. Altos niveles de aireación (0.300 Laire kg-1 min-1) provocaron altos niveles de emisión de los gases estudiados. Por otra parte, bajos niveles (0.05 Laire kg-1 min-1) dieron lugar a episodios de anaerobiosis provocando cierta emisión de compuestos de azufre., Los autores agradecen el apoyo fi nanciero de la CICYT (Comisión Interministerial Ciencia - Gobierno de España - cofinanciado FEDER), número de proyecto CTM2007- 621171TECNO. A SAO ECO S.A por el material. Un agradecimiento especial al Fondo Social Europeo (VSG) y el Ministerio de Economía y Competitividad de España por la financiación de Cabeza 1.0.

Published
2012

3. Use of electronic nose and GC-MS in detection and monitoring some VOC

Author

Delgado-Rodríguez, M., Ruiz-Montoya, M., Giraldez, I., López, R., Madejón, E., and Díaz, M.J.

Subjects
*ELECTRONIC noses, *GAS chromatography/Mass spectrometry (GC-MS), *VOLATILE organic compounds & the environment, *ENVIRONMENTAL monitoring, *GREENHOUSE gas mitigation, *MUNICIPAL solid waste incinerator residues, *PRINCIPAL components analysis, *ANALYSIS of variance
Abstract

Abstract: The aim of this study was to evaluate the use of an electronic nose (e-nose) as on-line, rapid method to quantify the MSW composting gases. Changes in selected VOCs (limonene, β-pinene, 2-butanone, undecane, toluene and dimethyl disulfide) during composting were studied and quantified by means of two different analytical methods (GC-MS and e-nose). The results of this study indicate that it is possible to differentiate and quantify the main gases emitted during Municipal Solid Waste- Legume Trimming Residues composting using an electronic nose equipped with 10 Metal Oxide Sensors. The electronic nose was able to detect a clear difference in volatile compounds profile of emitted gases in composting, using Principal Component Analysis (PCA) analysis. PCA successfully reduced the data sets from the sensors to two principal components, which accounted for 74.5%, 68.8% and 62.8% of the total variance by using patterns for initial, thermophilic and mesophilic composting phases respectively. [Copyright &y& Elsevier]

Published
2012
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