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Quartz crystal nanobalance in conjunction with principal component analysis for identification of volatile organic compounds

  • Quartz crystal nanobalance (QCN) sensors are considered as powerful masssensitive sensors to determine materials in the sub-nanogram level. In this study, a single piezoelectric quartz crystal nanobalance modified with polystyrene was employed to detect benzene, toluene, ethylbenzene and xylene (BTEX compounds). The frequency shift of the QCN sensor was found to be linear against the BTEX compound concentrations in the range about 1-45 mg l-1. The correlation coefficients for benzene, toluene, ethylbenzene, and xylene were 0.991, 0.9977, 0.9946 and 0.9971, respectively. The principal component analysis was also utilized to process the frequency response data of the single piezoelectric crystal at different times, considering to the different adsorption-desorption dynamics of BTEX compounds. Using principal component analysis, it was found that over 90% of the data variance could still be explained by use of two principal components (PC1 and PC2). Subsequently, the successful identification of benzene and toluene was possible through the principal component analysis of the transient responses of the polystyrene modified QCN sensor. The results showed that the polystyrene-modified QCN had favorable identification and quantification performances for the BTEX compounds.

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Metadaten
Author:Abdolreza Mirmohseni, Kobra Rostamizadeh
URN:urn:nbn:de:hbz:a96-opus-1434
DOI:https://doi.org/10.21269/113
Document Type:Conference Proceeding
Language:English
Year of Completion:2006
Publishing Institution:Fachhochschule Aachen
Contributing Corporation:International Symposium on Sensor Science, I3S 2005 <3; 2005; Juelich, Germany>
Date of the Publication (Server):2006/05/22
Tag:BTEX compounds; Quartz crystal nanobalance (QCN); principal component
GND Keyword:Biosensor
Source:http://www.mdpi.org/sensors/papers/s6040324.pdf
Institutes:FH Aachen / Fachbereich Medizintechnik und Technomathematik
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
collections:FH Aachen / International Symposium on Sensor Science, I3S 2005 <3; 2005; Ju