SELECTIVE SENSING OF VOLATILE ORGANIC COMPOUNDS VIA A TEMPERATURE MODULATION OF METAL OXIDE GAS SENSORS WITH PRINCIPAL COMPONENT ANALYSIS

1 AHMAD Ali
Co-authors:
1 VOVES Jan
Institution:
1 Czech Technical University, Prague, Czech Republic, EU, ahmadali@fel.cvut.cz
Conference:
11th International Conference on Nanomaterials - Research & Application, Hotel Voronez I, Brno, Czech Republic, EU, October 16th - 18th 2019
Proceedings:
Proceedings 11th International Conference on Nanomaterials - Research & Application
Pages:
262-266
ISBN:
978-80-87294-95-6
ISSN:
2694-930X
Published:
1st April 2020
Proceedings of the conference have been sent to Web of Science and Scopus for evaluation and potential indexing.
Metrics:
45 views / 12 downloads
Abstract

The measurements of volatile organic compounds are becoming more important due to stringent environmental regulations and increasing health concerns. The human breath which includes many volatile organic compounds that can be used as biomarkers for different diseases as well. Metal oxide (MOX) sensors are well known as multifunction nanomaterials and employing MOX in detecting VOCs is one of the most studied areas. The advantages of metal oxide sensors are well known as low costs, short response time and versatility. Currently, these sensors are sufficiently sensitive for most applications. However, the use of them is limited due to their lack of selectivity, which has stimulated researchers to look for different strategies to overcome this drawback. Sensing mechanisms of gas sensors depend on temperature, and this is, in particular, true for metal-oxide semiconductors where the peculiar role of temperature suggested the modulation of temperature as a viable method to tune selectivity and sensitivity. In this work, a device consisted of metal oxide gas sensor array has been used to discriminate different volatile organic compounds. The device consists of three MOX commercial sensors (ASMLN, AS-MLK, AS-MLC), The behavior of these sensors was measured at different ranges of temperature. By Principal Component Analysis (PCA) as a recognition algorithm and modulated temperature, selective sensing has been accomplished.

Keywords: Gas sensor array, metal oxides, selectivity enhancement, temperature modulation, principal component analysis
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