1,447 research outputs found
Microbial volatile organic compounds as indicators of fungi. Can an electronic nose detect fungi in indoor environments?
peer reviewedThe paper presents a review of several studies on the detection of microbial volatile organic compounds (MVOCs) considered as indicators of fungal contamination. As fungi produce specific profiles, or fingerprints of volatile compounds, the electronic nose technology is a very promising opportunity for rapid and non costly detection of fungi in buildings. E-noses are able to distinguish between mouldy and non-mouldy samples, and also to recognise certain species of fungi. However, two limiting factors may appear decisive for employment of electronic noses in indoor fungi detection: low concentrations of MVOCs and presence of interfering substances in indoor environments
From Environmental Monitoring to Breath Analysis: Leveraging Sensor arrays for Healthcare – Lessons from the PATHACOV project –
Interests of automatic odour sampling devices, illustration with a wallonia study
From November 2018 to September 2019, two Odorprep samplers
were tested in an industrial valley and a solid waste treatment plan
in Wallonia (Belgium) .
The experiments were organized in collaboration with the Scientific
Institute of Public Service of Wallonia (ISSeP). Local authorities were
also involved: they were in charge of activating the sampling
devices when the smell was perceived and had to complete the
questionnaires, which included the description of the odour
characteristic
Capteur à oxide métallique commercial pour l'analyse d'haleine sensible aux vapeurs d'alcane à longue chaine
peer reviewedWithin an ongoing European project on breath
analysis by IOMS, sensitivity of sensors to various VOCs is
studied, as breath VOCs are considered as lung cancer
biomarkers. Sensitivities of several commercial metal oxide
sensors to various VOC have been studied. It was found that
two sensors reacted to decane presence. This is an unusual
property for metal oxide gas sensors. This paper shows
obtained results and details the methodology employed to
obtain them.Pathaco
Odour sampling system with remote triggering: feedback from a Belgian experience
An automatic odour sampling system can be activated remotely to collect samples when an odour event is
perceived. Activation of sampling can be done by a neighbour when he smells an odour but also by an
environmental agency, a laboratory or local authorities. Another approach is instrumental triggering for instance
by a chemical analyser, an instrumental odour monitoring system (e-nose) or even simply by a wind vane.
Remote odour sampling is particularly useful in ambient air at the receptor site and at the fenceline when
emissions and perceptions are not continuous. It is ideal for cases of short exposition time and low frequency.
Indeed, in most cases, the service in charge of the odour sampling is not close enough to arrive during the odour
event and collect/measure the odour during a complaint in order to “objective” it [1].
If there is a temperature system conditioning, it allows for sampling at any time of the day and the night while
maintaining a good preservation of the odour in the bags (among others preventing condensation).
Complementary sampling/measurement materials like adsorbent tubes and low cost gas sensors can be
activated at the same time as the odour bag sampling. Odour correlation with chemicals is then possible.
The study in Belgium was performed with the collaboration of the local authorities: they were in charge of
activating the sampling devices located in the close proximity of industrial areas.
Two samplers (Odorprep®) were installed in a Wallonia industrial valley, where odour complaints were usual.
The campaign had lasted from November 2018 to September 2019. Two trailers, from ISSeP, equipped with air
quality analyzers, measured half-hourly NH3, H2S, BTEX, limonene and pinene. A meteorological weather
station measured wind direction and speed, T, RH and pressure. Olfactometric analyses were performed by
ULiège SAM laboratory with a TO Evolution 6FC according to EN 13725. One aim was to use the odour
concentrations measured at the receptor level in order to estimate an odour emission rate [2]. Odour dispersion
modelling is performed with ADMS 5 software (CERC). A second goal was to study potential correlation of the
odour event and some chemical compounds.
The results (odour concentration, chemicals concentration, dispersion model results, weather conditions) will
be presented as well as the assessment of strengths and weaknesses of the automatic sampling system
FIRST DEVELOPMENT OF A GAS SENSOR ARRAY FOR MONITORING AMMONIA SURFACE EMISSION FLUX FROM GRASSLANDS
Establishing an Air Quality Index Based on Proxy Data for Urban Planning Part 1: Methodological Developments and Preliminary Tests
peer reviewedIn the last few decades, urban planning has expanded regarding environmental considerations. However, air quality, which is regarded as an important aspect of the green development of cities, is not considered in urban planning. This research aims to propose a tool to easily introduce air quality considerations into urban projects. Nowadays, the usual air pollutants (NOx, PM, SO2, and O3) are measured via sophisticated monitoring stations—or even low-cost devices—to give near-real-time air quality indices. However, stations are not adapted to local air pollution and real-time data are not helpful for planning purposes. An index able to rank areas and projects based on urban “air proxy data” would help decision makers. This paper presents how to create an air quality index as a decision support tool for urban planning. No pollutant measurement campaign will be necessary and only data that are easily accessible, even to nonexperts, are used. This paper describes the methodological development of an index that we call AQOI (Air Quality Observed Index), and the results obtained for four different locations (industrial, urban, and rural) considered as preliminary tests.EcoCityTool
Commercial metal oxide sensor sensitive to higher alkane
peer reviewedWithin an ongoing European project on breath
analysis by IOMS, sensitivity of sensors to various VOCs is
studied, as breath VOCs are considered as lung cancer
biomarkers. Sensitivities of several commercial metal oxide
sensors to various VOC have been studied. It was found that
two sensors reacted to decane presence. This is an unusual
property for metal oxide gas sensors. This paper shows
obtained results and details the methodology employed to
obtain them.Pathaco
Présentation du développement méthodologique d’un nouvel indicateur de la qualité de l’air en zone urbaine – AQOI – Air Quality Observed Index
peer reviewedA la croisée des rénovations des centres urbains et des performances environnementales, il est parfois difficile pour les autorités locales de maintenir un budget financier et temporel de l’ordre du raisonnable. Actuellement, les rénovations urbaines ne tiennent pas compte de la qualité de l’air du site et de l’impact que pourrait avoir une éventuelle transformation de celui-ci. En effet, il n’existe pas d’indicateur, de faible coût, exprimant la qualité de l’air à une échelle locale. Les solutions proposées actuellement sont soit de la modélisation de la pollution atmosphérique, soit des campagnes de mesure, celles-ci étant symbole de consommation de temps et d’argent. C’est de ce constat qu’un projet de thèse a émergé au sein du labo SAM. L’idée est de développer un indicateur exprimant un état général de la qualité de l’air d’un site sans passer par des mesures de concentration de polluants gazeux. Il doit offrir la possibilité de choisir le meilleur site pour un projet d’un point de vue de la qualité de l’air rien qu’en implémentant celui-ci dans un Système d’Information Géographique (SIG). De plus, il doit permettre aux décideurs de sélectionner le meilleur projet de rénovation d’un site ayant le moindre impact sur la qualité de l’air.
Le développement de cet indicateur a débuté dans le projet de recherche EcoCityTools (Projet financé par la région Wallonne) pour des sites wallons. L’indicateur est alimenté par des données disponibles gratuitement sur Internet et visualisables sur SIG. AQOI (Air Quality Observed Index) est calculable pour une superficie maximale de 90 000m², soit une dimension de maille de 300mx300m. La thèse est actuellement à l’étape de validation de l’outil (sur la Wallonie mais également sur Bordeaux Métropole).
La méthodologie de construction de cet indicateur est présentée ainsi que les variables le constituant
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