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ORIGINAL ARTICLE
Year : 2019  |  Volume : 9  |  Issue : 3  |  Page : 158-164

Gas sensor array system properties for detecting bacterial biofilms


1 Biomedical Engineering, Postgraduate School; Department of Physics, Faculty of Science and Technology, Universitas Airlangga, Surabaya, Indonesia
2 Biomedical Engineering, Postgraduate School, Universitas Airlangga, Surabaya, Indonesia
3 Department of Physics, Faculty of Science and Technology, Universitas Airlangga, Surabaya, Indonesia
4 Department of Periodontics, Faculty of Dentistry, Universitas Airlangga, Surabaya, Indonesia
5 Department of Physics, Faculty of Mathematics and Natural Science, Gadjah Mada University, Yogyakarta, Indonesia

Correspondence Address:
Dr. Suryani Dyah Astuti
Department of Physics, Faculty of Science and Technology, Universitas Airlangga, Surabaya
Indonesia
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jmss.JMSS_60_18

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Background: Gas sensor array system is a device that mimics the work of how the nose smells using the gas sensors that could give response toward specific odors. It is used for characterizing the different blended gas that is suited with the biological working nose principle. Thus, it could be used to detect the dental and oral diseases. Periodontitis is one of the diseases caused by the damage on the teeth due to the chronic infection on the gingival structure marked with bacterial plaque and calculus. This study aims to develop an electric nose for odor detection application on the periodontal bacterial biofilm as early detection device for dental and oral disease. Methods: This device is designed as a portable device to ease the data acquisition. The measured data were stored at a database system connected to a real-time computer. A gas array sensor system with six gas sensors (TGS 826, TGS 2602, TGS 2600, TGS 2611, TGS 2612, and TGS 2620) has been assembled for the early detection application for dental and oral disease excreted by the bacterial biofilm that caused dental and oral disease, including Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, Streptococcus mutans, and Enterococcus faecalis. Results: TGS 826 and TGS 2602 sensor had the best response showed by the high ADC delta value. Conclusion: GS 826 and TGS 2602 sensor could be used as a candidate for early detection device for dental and oral disease.


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