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EnglishIn this paper an innovative measurement system for odor classifi-cation, based on Quartz Crystal Microbalances (QCMs), is pre-sented. In particular, the problem of detecting typical wine aroma components in mixtures where ethanol is present is taken into ac-count. In QCM sensors the sensitive layer is a polymeric layer de-posited on a quartz surface. Chemical mixtures are adsorbed by the polymeric layer, inducing a change in the quartz mass and there-fore in its resonance frequency. The frequency shift is measured by a dedicated fully digital front-end hardware implementing a tech-nique proposed by Cantoni [1]. This approach allows reducing the measurement time while maintaining a high frequency resolution. The developed system allows measuring variations of the QCM resonance frequency shifts during chemical transients obtained with abrupt changes in odor concentration. Hence the reaction ki-netics can be exploited to differentiate among different compounds. In this study some measurements obtained with an array of 4 sen-sors with different sensitive layers are presented. An exponential fitting of the transient responses is used for feature extraction. Principal Component Analysis (PCA) to reduce data dimensionality is used.
| Titolo: | Study of the dynamic response of QCM sensors by means of a fast and accurate all-digital frequency detector | |
| Autori interni: | ||
| Anno del prodotto: | 2002 | |
| Abstract: | In this paper an innovative measurement system for odor classifi-cation, based on Quartz Crystal Microbalances (QCMs), is pre-sented. In particular, the problem of detecting typical wine aroma components in mixtures where ethanol is present is taken into ac-count. In QCM sensors the sensitive layer is a polymeric layer de-posited on a quartz surface. Chemical mixtures are adsorbed by the polymeric layer, inducing a change in the quartz mass and there-fore in its resonance frequency. The frequency shift is measured by a dedicated fully digital front-end hardware implementing a tech-nique proposed by Cantoni [1]. This approach allows reducing the measurement time while maintaining a high frequency resolution. The developed system allows measuring variations of the QCM resonance frequency shifts during chemical transients obtained with abrupt changes in odor concentration. Hence the reaction ki-netics can be exploited to differentiate among different compounds. In this study some measurements obtained with an array of 4 sen-sors with different sensitive layers are presented. An exponential fitting of the transient responses is used for feature extraction. Principal Component Analysis (PCA) to reduce data dimensionality is used. | |
| Handle: | http://hdl.handle.net/11568/69508 | |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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http://hdl.handle.net/11568/69508
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