[en] The paper provides some considerations resulting from measurements with electronic noses around real sources of malodour in the environment: compost facilities, printing houses, paint shops, waste water treatment plants, rendering plants, settling ponds of sugar factories. The study aims at supplying the concrete information requested by the final user in the field: either a warning signal when the malodour level exceeds some given threshold value, the identification of the source of an odour detected on site, or on-line identification and monitoring of an odour in the field. Very simple instruments are used, either in the laboratory or directly in the field, with a home-made portable e-nose, based on tin oxide sensors. Even with such simple operating conditions, the classification results with DA and PCA are fairly good. The classification functions calibrated with the statistical procedure, on the basis of the learning phase, are used to recognise and to monitor a given malodour. This odour is sometimes mixed with other odorous interferences in the field. The observations reveal some features useful in the frame of the development of a field detector.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Nicolas, Jacques ; Université de Liège - ULiège > Département des sciences et gestion de l'environnement > Surveillance de l'environnement
Romain, Anne-Claude ; Université de Liège - ULiège > Département des sciences et gestion de l'environnement > Surveillance de l'environnement
Wiertz, Véronique
Maternova, Jindriska
Andre, Philippe ; Université de Liège - ULiège > Département des sciences et gestion de l'environnement > Surveillance de l'environnement
Language :
English
Title :
Using the classification model of an electronic nose to assign unknown malodours to environmental sources and to monitor them continuously
scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.
Bibliography
Persaud, K.C., Khaffaf, S.M., Hobbs, P.J., Sneath, R.W., Assessment of conducting polymer odour sensors for agricultural malodour measurements (1996) Chem. Senses, 21, pp. 495-505
Hobbs, P.J., Misselbrook, T.H., Pain, B.F., Assessment of odours from livestock wastes by a photoionization detector, an electronic nose, olfactometry and gas chromatography-mass spectrometry (1995) J. Agric. Eng. Res., 60, pp. 137-144
Stuetz, R.M., Fenner, R.A., Engin, G., Assessment of odours from sewage treatment works by an electronic nose, H2S analysis and olfactometry (1999) Water Res., 33, pp. 453-461
Gardner, J.W., Gardner, W.E., The role of electronic nose in condition monitoring (1997) Insight, 39, pp. 865-869
Rella, R., Siciliano, P., Air quality monitoring by beans of sol-gel integrated tin oxide thin films (1999) Sens. Actuators, B, 58, pp. 283-288
Romain, A.C., Nicolas, J., André, Ph., In situ measurement of olfactive pollution with inorganic semiconductors: Limitations due to the influence of humidity and temperature (1997) Semin. Food Anal., 2, pp. 283-296
Nicolas, J., Romain, A.C., Wierts, V., Maternova, J., André, Ph., Utilisation élémentaire d'un réseau de capteurs SnO2 pour la reconnaissance d'odeurs environnementales (1999) Eurodeur99, Paris, 15-18 June
Romain, A.C., Nicolas, J., Wiertz, V., Maternova, J., Ph., André., Use of a simple tin oxide sensor array to identify five malodours collected in the field Sensors and Actuators B, , Accepted for publication in
Tabachnick, B.G., Fidell, L.S., (1996) Using Multivariate Statistics 3rd Edn., , New York: Harper Collins College Publishers. 879 p
Similar publications
Sorry the service is unavailable at the moment. Please try again later.
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.