scholarly journals Ternary Gas Mixture Quantification Using Field Asymmetric Ion Mobility Spectrometry (FAIMS)

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 3007 ◽  
Author(s):  
Yasufumi Yokoshiki ◽  
Takamichi Nakamoto
Keyword(s):  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Measurement Data ◽  
Descent Method ◽  
Gas Mixture ◽  
Gradient Descent Method ◽  
Target Composition ◽  
Simulation Based ◽  
Multiple Chemical ◽  
Mixture Sample

Gas mixture quantification is essential for the recording and reproducing odors, because an odor consists of multiple chemical compounds. Gas mixture quantification using field asymmetric ion mobility spectrometry (FAIMS) was studied. Acetone, ethanol, and diethyl ether were selected as components of a ternary gas mixture sample as representatives of the ketone, alcohol, and ether chemical classes, respectively. One hundred and twenty-five points with different concentrations were measured. The results were evaluated by error hypersurface, variance, and the coefficient of variation. The error hypersurface showed that it is possible to reach the target composition by following the error-hypersurface gradient. Successful convergence was achieved with the gradient descent method in a simulation based on the measurement data. This result verified the feasibility of the quantification of a gas mixture using FAIMS.

scholarly journals Recognition of emission from the wood based products waste combustion using differential ion mobility spectrometry

2019 ◽  
Vol 116 ◽  
pp. 00047
Author(s):  
Monika Maciejewska ◽  
Andrzej Szczurek ◽  
Żaneta Zajiczek
Keyword(s):  
Volatile Compounds ◽  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Ambient Air ◽  
Wood Products ◽  
Gas Mixture ◽  
Promising Technique ◽  
Waste Combustion ◽  
Differential Ion Mobility Spectrometry ◽  
Engineered Wood Products

This work was focussed on the recognition of the emission of volatile compounds resulting from the combustion of engineered wood products waste. This kind of waste is broadly used for heating purposes in an unauthorised way, giving rise to unorganised emissions. The recognition of such events is very difficult due to the complexity of the produced gas mixture. We proposed to apply differential ion mobility spectrometry (DMS). This is a promising technique in terms of complex gas mixtures measurements. The recognition was based on the measurements of ambient air in the vicinity of the emission source and classification. The ensemble of classification trees was chosen as the classier. The obtained results showed that volatile compounds resulting from the combustion of wood based boards waste produced the distinctive DMS spectra, which could be used as the basis for the effective recognition. We achieved almost 100 % successful recognition of: 1) ambient air which contained volatile compounds resulting from OSB board waste combustion, 2) ambient air which contained volatile compounds resulting from MDF board waste combustion, and 3) ambient air, which was did not contain volatile compounds of this kind. The presented results have a considerable practical value. The DMS spectrometer was successfully applied to recognize wood-based boards waste combustion in field conditions.

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