Electronic Noses for Environmental Monitoring Applications

Capelli, Laura; Sironi, Selena; Rosso, R. Del

doi:10.3390/s141119979

Cited by 198 publications

(125 citation statements)

References 112 publications

(124 reference statements)

Supporting

Mentioning

122

Contrasting

Unclassified

Order By: Relevance

“…The volatile compounds interact with the sensor surfaces and cause a change in certain chemical and physical properties of the latter. These variations are then converted to an electronic signal which is sent to the data processing system [8].…”

Section: Measurements and Methodsmentioning

confidence: 99%

Odour Impact Assessment by Means of Dispersion Modeling, Dynamic Olfactometry and Mobile Electronic Nose around Agadir Fishing Port in Morocco

Chirmata¹,

Ichou²

2016

JEP

View full text Add to dashboard Cite

Odorous emissions emitted from various sources including industrial and commercial activities have particular concerns about human health. These malodors emissions are an environmental concern that affects health status and social life of the neighbors. That requires the local authority to set up a management strategy to control this nuisance. The evaluation of odour emissions from fishing port is complex because these emissions depend on several factors such as multiple sources of odor emissions, meteorological conditions, topography and others. That imposes the use of complementary approaches to monitor odours. In this paper, the case of Agadir fishing port is studied, which is adjacent to the tourist area and residential neighborhoods and which hosts a number of points that can generate odors. To assess this odour impact, three methods are used such as dynamic olfactometry, dispersion modeling and mobile electronic nose (e-nose). The use of these three methods in a complementary manner to assess odour impacts around a fishing port allowed both the quantification of the emissions using dynamic olfactometry and the evaluation of their impact on the study area with model dispersion. The results enabled also to identify the most affected areas of the city by odor emissions and to recognize the meteorological parameters maximizing odor impact. The other goal of this work is to compare the results of the odour dispersion modeling and e-nose measurements for one year in terms of frequency of overtaking the set alert thresholds over the same period. Comparison highlights the strengths and weaknesses of both approaches. Modeling can be used predicatively but it does not take into account fugitive emissions reliably in the absence of data on these emissions, modeling based on the hourly average misjudges the odor peaks, while e-nose made it possible to obtain validated data and provides accurate, affordable and real-time odour measurement capability tacking in to account the role of human perception without being able to characterize the extent of the odor nuisance caused by each source. We conclude that these three valuation methods provide complementary information about odor nuisance and reasonable estimates of odors.

show abstract

Section: Measurements and Methodsmentioning

confidence: 99%

Odour Impact Assessment by Means of Dispersion Modeling, Dynamic Olfactometry and Mobile Electronic Nose around Agadir Fishing Port in Morocco

Chirmata¹,

Ichou²

2016

JEP

View full text Add to dashboard Cite

show abstract

“…Actually, odour is one of the main cause of citizens' complaints to the environmental authorities, especially in highly populated regions, where residential units often are found close to industrial areas. In this scenario, electronic noses are particularly interesting because while other better-established and solid analytical techniques can be used to detect specific compounds, electronic noses are currently the only method capable of quantifying and classifying odours in real time [2]. At present, most regulation approaches are based on a first step of odour emission quantification through the measurement of odour concentration by dynamic olfactometry [3], followed by exposure evaluation by dispersion modelling [1].…”

Section: Introductionmentioning

confidence: 99%

“…Electronic noses could be used for this purpose [4]. Despite a wide range of objective criticalities connected to the use of electronic noses for environmental odour monitoring in ambient air, such as drift, cross-sensitivity to atmospheric conditions or low sensitivity, there are some examples of successful applications of trained systems of gas sensors [2,5]. Based on this experience, it was decided to realize a network of 8 electronic noses for the continuous monitoring of the odour emissions from a crude oil extraction and separation plant.…”

Section: Introductionmentioning

confidence: 99%

“…Because of the above mentioned criticalities associated with this kind of application that are connected mainly (but not only) to the difficulty of obtaining stable responses with varying external conditions (e.g. humidity and temperature) [2], it was decided to carry out an extensive evaluation of the electronic nose network performances after the installation in the field. The aim of the performance testing was to verify that the satisfactory results obtained during the instrument training and performance testing in the laboratory prior to installation were achievable and reproducible outdoors in the field, which is all but obvious.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Monitoring odour emisssions from an oil & gas plant: Electronic nose performance testing in the field

Capelli

Sironi

2017

2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)

Self Cite

View full text Add to dashboard Cite

This paper focuses on performance testing of electronic noses for environmental odour monitoring in terms of their capability of correctly classifying odours at low odour concentrations. The studied case concerns the realization of an electronic nose network for the continuous monitoring of odour emissions from a crude oil extraction and separation plant. The novelty of the work consists in the fact that performance testing, which is typically carried out in laboratory before installation in the field for environmental odour monitoring outside the plant boundaries, in this case was carried out after installation with the aim of testing the instruments performances in the effective working conditions. This involved the necessity to develop a specific and repeatable procedure to obtain samples at known quality and concentration in the field. Electronic nose performance was evaluated in terms of classification accuracy, which produced satisfactory results towards the considered olfactory classes.

show abstract

“…Consequently, there was need for an instrument that could "mimic" the human sense of smell and its use in routine industrial applications. To support such technology for industrial usage, gas/odour sensors became ideal candidates in areas like food industry, environment control, automobile industry, indoor air quality check and monitoring and medicine (Capelli, et al, 2014), (Fend, et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Application of an Electronic Nose Coupled with Fuzzy-Wavelet Network for the Detection of Meat Spoilage

Kodogiannis

2017

Food Bioprocess Technol

View full text Add to dashboard Cite

Application of an electronic nose coupled with fuzzy-wavelet network for the detection of meat spoilage Kodogiannis, V.This is an author's accepted manuscript of an article published in Food and Bioprocess Technology, doi: 10.1007/s11947-016-1851-6 in 2017.The final publication is available at Springer via:https://dx.doi.org/10.1007/s11947-016-1851-6The WestminsterResearch online digital archive at the University of Westminster aims to make the research output of the University available to a wider audience. Copyright and Moral Rights remain with the authors and/or copyright owners.Whilst further distribution of specific materials from within this archive is forbidden, you may freely distribute the URL of WestminsterResearch: ((http://westminsterresearch.wmin.ac.uk/). Abstract:Food product safety is one of the most promising areas for the application of electronic noses. During the last twenty years, these sensor-based systems have made odour analyses possible. Their application into the area of food is mainly focused on quality control, freshness evaluation, shelf-life analysis and authenticity assessment. In this paper, the performance of a portable electronic nose has been evaluated in monitoring the spoilage of beef fillets stored either aerobically or under modified atmosphere packaging, at different storage temperatures. A novel multi-output fuzzy wavelet neural network model has been developed, which incorporates a clustering pre-processing stage for the definition of fuzzy rules. The dual purpose of the proposed modelling approach is not only to classify beef samples in the relevant quality class (i.e. fresh, semi-fresh and spoiled), but also to predict their associated microbiological population. Comparison results against advanced machine learning schemes indicated that the proposed modelling scheme could be considered as a valuable detection methodology in food microbiology.

show abstract

Electronic Noses for Environmental Monitoring Applications

Cited by 198 publications

References 112 publications

Odour Impact Assessment by Means of Dispersion Modeling, Dynamic Olfactometry and Mobile Electronic Nose around Agadir Fishing Port in Morocco

Odour Impact Assessment by Means of Dispersion Modeling, Dynamic Olfactometry and Mobile Electronic Nose around Agadir Fishing Port in Morocco

Monitoring odour emisssions from an oil & gas plant: Electronic nose performance testing in the field

Application of an Electronic Nose Coupled with Fuzzy-Wavelet Network for the Detection of Meat Spoilage

Contact Info

Product

Resources

About