References of "Wiertz, Véronique"
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See detailContrôle/commande de la réduction d'odeur générée par un Centre d'Enfouissement Technique
Nicolas, Jacques ULg; wiertz, Véronique; Monticelli, David et al

Report (2000)

An instrument based on the "electronic nose" concept was developed with the aim of controlling an odour abatement technique, as the spraying of masking or neutralising agent, on a landfill area in Belgium ... [more ▼]

An instrument based on the "electronic nose" concept was developed with the aim of controlling an odour abatement technique, as the spraying of masking or neutralising agent, on a landfill area in Belgium. Models of odour recognition and of odour level prediction were developed and successfully validated in the field. Additionally to e-nose response, the influence of meteorological data was particularly studied. The project was conducted on a real size facility and in close collaboration with the manager of the facility. [less ▲]

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See detailUse of a simple tin oxide sensor array to identify five malodours collected in the field
Romain, Anne-Claude ULg; Nicolas, Jacques ULg; Wiertz, Véronique et al

in Sensors and actuators. B, Chemical (2000), 62(1), 73-79

A laboratory-made malodour sensing system including 12 commercial tin oxide gas sensors (Figaro Engineering) is used to identify five typical sources of olfactive annoyance: printing houses, paint shop in ... [more ▼]

A laboratory-made malodour sensing system including 12 commercial tin oxide gas sensors (Figaro Engineering) is used to identify five typical sources of olfactive annoyance: printing houses, paint shop in a coachbuilding, wastewater treatment plant, urban waste composting facilities and rendering plant. In this work, all the samples are collected in the field from real malodours in uncontrollable conditions. The ability of the system to predict the origin of unknowns odoriferous samples is investigated. The test of various pre-processing data algorithms shows that the best classification results are obtained with a parameter free of the sensor base-line. The differences in sensor responses among the five odours are shown by icon plots and confirmed by principal component analysis, which highlights four representative clusters. Classification models calibrated by discriminant analysis and artificial neural network are validated on unknowns samples. Chemical relationships between the sensors and the classification results proves that the recognition is not fortuitous. In spite of the influence of environmental parameters, results demonstrate the ability of a simple system to detect and identify typical olfactive annoyances. [less ▲]

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See detailUsing the classification model of an electronic nose to assign unknown malodours to environmental sources and to monitor them continuously
Nicolas, Jacques ULg; Romain, Anne-Claude ULg; Wiertz, Véronique et al

in Sensors and actuators. B, Chemical (2000), 69(3), 366-371

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 ... [more ▼]

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. [less ▲]

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See detailUtilisation élémentaire d'un réseau de capteurs "SnO2" pour la reconnaissance d'odeurs environnementales
Nicolas, Jacques ULg; Romain, Anne-Claude ULg; Wiertz, Véronique et al

(1999, June)

Pouvoir identifier les mauvaises odeurs et les suivre en continu directement sur le terrain constituerait sans conteste un atout non négligeable pour un bon nombre d'études environnementales. Sur le ... [more ▼]

Pouvoir identifier les mauvaises odeurs et les suivre en continu directement sur le terrain constituerait sans conteste un atout non négligeable pour un bon nombre d'études environnementales. Sur le principe, un tel objectif semble correspondre parfaitement aux possibilités et à la souplesse d'un nez électronique. Cependant, si l'environnement est fréquemment cité parmi les applications possibles des nez électroniques, il faut reconnaître que les études visant la mesure des mauvaises odeurs sur le terrain restent très rares. La généralisation du concept du nez électronique au monitoring d'odeurs environnementales doit passer par la résolution d'un certain nombre de problèmes. La communication propose de mettre en évidence ces différentes limitations et problèmes. L'étude présentée pour illustrer ce propos est relative aux odeurs provenant de 5 sources typiques de l'environnement. Elle montre qu'un appareillage simple, utilisé sans grande précaution et sans trop se soucier de la reproductibilité des conditions d'échantillonnage parvient à identifier correctement l'origine des odeurs qu'on lui propose. [less ▲]

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See detailDéveloppement de techniques d'identification d'odeurs dans l'environnement
Nicolas, Jacques ULg; Romain, Anne-Claude ULg; Wiertz, Véronique et al

Report (1998)

Different techniques of evaluation of environmental odours were analysed and tested. More particularly, gas chromatography/mass spectrometry and electronic nose were investigated on 5 environmental ... [more ▼]

Different techniques of evaluation of environmental odours were analysed and tested. More particularly, gas chromatography/mass spectrometry and electronic nose were investigated on 5 environmental sources : printing house, compost area, waste water treatment plant, coach building and slaughter house. It is shown that electronic nose is a promising instrument able to identify qualitatively the odour type and to provide a global indicator of the odour level. [less ▲]

Detailed reference viewed: 29 (9 ULg)