MSW odor quantification using electronic nose and chemical analyzers: Relative exploration of prediction capabilities and robust model development

Abstract

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 analyzers respectively. Data collected over a period of 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 response 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.