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

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.

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Main Authors: Delgado Rodríguez, Margarita, Ruiz Montoya, M., López Núñez, Rafael, Madejón, Engracia, Díaz, M. J.
Format: artículo biblioteca
Language:English
Published: Elsevier 2012
Online Access:http://hdl.handle.net/10261/61962
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spelling dig-irnas-es-10261-619622018-09-13T07:21:40Z Use of electronic nose and GC-MS in detection and monitoring some VOC Delgado Rodríguez, Margarita Ruiz Montoya, M. López Núñez, Rafael Madejón, Engracia Díaz, M. J. 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. The authors acknowledge financial support from the CICYT (Science and Technology Inter Ministerial Commission, Spanish Government)-FEDER, project number CTM2007-62117/TECNO. Special thanks to Juan Revilla (SADECO) for his collaboration. Peer Reviewed 2012-12-05T08:09:55Z 2012-12-05T08:09:55Z 2012 2012-12-05T08:09:55Z artículo http://purl.org/coar/resource_type/c_6501 doi: 10.1016/j.atmosenv.2012.01.006 issn: 1352-2310 Atmospheric Environment 51: 278-285 (2012) http://hdl.handle.net/10261/61962 10.1016/j.atmosenv.2012.01.006 en none Elsevier
institution IRNAS ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-irnas-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del IRNAS España
language English
description 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.
format artículo
author Delgado Rodríguez, Margarita
Ruiz Montoya, M.
López Núñez, Rafael
Madejón, Engracia
Díaz, M. J.
spellingShingle Delgado Rodríguez, Margarita
Ruiz Montoya, M.
López Núñez, Rafael
Madejón, Engracia
Díaz, M. J.
Use of electronic nose and GC-MS in detection and monitoring some VOC
author_facet Delgado Rodríguez, Margarita
Ruiz Montoya, M.
López Núñez, Rafael
Madejón, Engracia
Díaz, M. J.
author_sort Delgado Rodríguez, Margarita
title Use of electronic nose and GC-MS in detection and monitoring some VOC
title_short Use of electronic nose and GC-MS in detection and monitoring some VOC
title_full Use of electronic nose and GC-MS in detection and monitoring some VOC
title_fullStr Use of electronic nose and GC-MS in detection and monitoring some VOC
title_full_unstemmed Use of electronic nose and GC-MS in detection and monitoring some VOC
title_sort use of electronic nose and gc-ms in detection and monitoring some voc
publisher Elsevier
publishDate 2012
url http://hdl.handle.net/10261/61962
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AT madejonengracia useofelectronicnoseandgcmsindetectionandmonitoringsomevoc
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