Abstract
Volatile Organic Compounds (VOCs) concentration in breath is an important area of research for non-invasive diagnosis of different diseases. Its concentration in breath can directly be used for diagnosis of health condition. Quartz crystal microbalance (QCM) sensor is widely used for the detection of these compounds using a suitable sensing layer. This paper reports Modeling of graphene oxide coated Quartz crystal Microbalance (QCM) sensor. Finite Element Method in COMSOL Multiphysics is used to analyze change in resonant frequency at different concentration levels of two important VOCs, i.e., Benzene and Toluene. This study modeled graphene oxide as coating layer on QCM sensor and analysed the effect of adsorption of Benzene and Toluene on graphene oxide layer. Partition constant of graphene oxide with benzene and toluene molecules is used to determine concentration of these molecules after adsorption at standard temperature and pressure. The drop in the resonance frequency of 655.201 kHz on adsorption of 100 ppm toluene and 7189.199 kHz on adsorption of 100 ppm benzene molecules have been observed.
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Das, A., Manjunatha, R. (2022). Modeling of Graphene Oxide Coated QCM Sensor for E-Nose Application. In: Geetha, K., Gonzalez-Longatt, F.M., Wee, HM. (eds) Recent Trends in Materials. Springer Proceedings in Materials, vol 18. Springer, Singapore. https://doi.org/10.1007/978-981-19-5395-8_14
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DOI: https://doi.org/10.1007/978-981-19-5395-8_14
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