Publication: Feature difference of interaction between various organic solvent vapors and metal phthalocyanines coated on quartz crystal
Issued Date
2008-12-01
Resource Type
ISSN
10226680
Other identifier(s)
2-s2.0-62949214211
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
Advanced Materials Research. Vol.55-57, (2008), 305-308
Suggested Citation
T. Hongkachern, W. Suwannet, R. Jaisutti, S. Pratontep, T. Osotchan Feature difference of interaction between various organic solvent vapors and metal phthalocyanines coated on quartz crystal. Advanced Materials Research. Vol.55-57, (2008), 305-308. Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/19195
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
Feature difference of interaction between various organic solvent vapors and metal phthalocyanines coated on quartz crystal
Other Contributor(s)
Abstract
Interaction between organic solvent vapors, zinc phthalocyanine (ZnPc) and copper phthalocyanine (CuPc) coated on quartz crystal resonators were investigated for various types of organic solvent vapors including acetone, propanol, ethanol, tetrahydrofuran, methanol, nail lacquer remover, 100 Pipers and Masterblend whiskies. The major different features of the resonance frequency shift as a function of time were extracted in order to employ in gas sensor. The sensor consists of ZnPc or CuPc thin film with the thickness of ∼300 nm coated on quartz crystal with resonance frequency of 2 MHz. It used as a transducer by convert the surface adsorption into the frequency shift. When the odor interacts with ZnPc or CuPc layer, the quartz frequency normally decreases from the fundamental frequency due to the additional mass on quartz surface. The different types of organic solvent have different sensitivity to the thin film and these changing lead to the different frequency shift characteristics. The frequency shift were collected and the selected data points at the time of 5, 10, 15, 20, 70, 75, and 80 minutes after dropping alcohol were used to extract the feature by using the principal component analysis (PCA) in order to classify the type of alcohol. The PCA can be used to identify the major characteristic difference of various organic solvent interactions. The main features can be identified by the amount of the frequency shift and the decay characteristics. © 2008 Trans Tech Publications, Switzerland.