Reference : MSW odor quantification using electronic nose and chemical analyzers : relative explo...
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MSW odor quantification using electronic nose and chemical analyzers : relative exploration of prediction capabilities and robust model development
Deshmukh, Sharvari []
Purohit, Hermant J. []
Vaidya, Atul N. []
Romain, Anne-Claude mailto [Université de Liège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Surveillance de l'environnement >]
Olfaction and electronic nose (ISOEN), 2017 ISOCS/IEEE International Symposium on
ISOEN 2017 International symposium on olfaction and electronic nose
du 28 mai 2017 au 31 mai 2017
[en] sensor array ; chemical analyzers ; dynamic olfactometer ; principal component analysis ; multi linear regression ; MSW
[en] The work investigates the real-time measurements of municipal solid waste odors using both low-cost chemical sensor array (electronic nose) and chemical analyzers. The study aimed to develop mathematical models using multilinear regression for prediction of odor concentration using electronic nose and chemical five months (50 days) were simultaneously analyzed using electronic nose, chemical analyzers and olfactometer installed at Municipal Solid Waste site. Principal component analysis was carried out on sensors data to study the different sources and concentration levels of odors. The output of olfactometer was correlated with the resonse of sensor array and chemical analyzers using multilinear regression model. The prediction models developed for correlating electronic nose and olfactometer & chemical analyzer with olfactometer helped to understand the usability of both electronic nose and chemical analyzer for odor concentration prediction. The results on these aspects are discussed in the paper.
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