Proceedings of the International Conference on Sustainable Environment, Agriculture and Tourism (ICOSEAT 2022)

<Previous Article In Volume
Next Article In Volume>

Performance Analysis of MOS Sensors on Electronic Nose for Synthetic Flavor Classification

Authors
Radi1, *, Barokah1, Luthfi Fadillah Zamzami1, Andi Setiawan1
1Department of Agricultural and Biosystems Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia
*Corresponding author. Email: radi-tep@ugm.ac.id
Corresponding Author
Radi
Available Online 28 December 2022.
DOI
10.2991/978-94-6463-086-2_75How to use a DOI?
Keywords
MQ sensor; TGS sensor; Electronic nose; Synthetic flavor; Pattern recognition
Abstract

An electronic nose is a device designed to sense, classify, and recognize a product based on its aroma. The electronic nose is generally designed from four main parts, namely: sample handling and delivery system, detector system, signal conditioning and preprocessing, and pattern recognition software. The detector section is a series of gas sensors that have different levels of gas sensitivity and selectivity. The sensor used in the electronic nose sometimes has low sensitivity, resulting in the undetected material being tested. Therefore, the electronic nose requires a selected sensor to optimally detect certain scents. The purpose of this study was to analyze the performance of the MOS sensor on an electronic nose for synthetic flavor classification. The types of gas sensors used in the electronic nose design are MQ 2, MQ 3, MQ 4, MQ 5, MQ 6, MQ 7, MQ 8, and MQ 9. The test sample used is liquid synthetic flavors with two different aroma variants (jackfruit and pandan). The gas sensor response analysis consists of two stages, namely pre-treatment data processing and pattern classification based on the principal component analysis method. The results of PCA show that the MQ sensor can classify the two samples well. The total variance of PC 1 and PC 2 for the MQ sensor-based electronic nose is 96,36%.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Sustainable Environment, Agriculture and Tourism (ICOSEAT 2022)
Series
Advances in Biological Sciences Research
Publication Date
28 December 2022
ISBN
10.2991/978-94-6463-086-2_75
ISSN
2468-5747
DOI
10.2991/978-94-6463-086-2_75How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Radi
AU  - Barokah
AU  - Luthfi Fadillah Zamzami
AU  - Andi Setiawan
PY  - 2022
DA  - 2022/12/28
TI  - Performance Analysis of MOS Sensors on Electronic Nose for Synthetic Flavor Classification
BT  - Proceedings of the International Conference on Sustainable Environment, Agriculture and Tourism (ICOSEAT 2022)
PB  - Atlantis Press
SP  - 552
EP  - 558
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-086-2_75
DO  - 10.2991/978-94-6463-086-2_75
ID  - 2022
ER  -