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

Response of Semiconductor Sensor in An Electronic Nose with Multi-Sample Delivery System

Authors
Radi1, 1, *, 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_76How to use a DOI?
Keywords
Electronic nose; Sample handling and delivery system; Detector performance; Multi-chamber
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 part plays an important role in determining the performance of the electronic nose. To speed up testing, the sample handling and delivery system can be designed by implementing multiple chambers assembled in one unit. However, the sampling rate is highly dependent on the characteristics of the detector system used. This study aims to determine the characteristics of the detector system on the speed of sample presentation by the sample handling and delivery system. The detector system is designed from eight of semiconductor sensors arranged in a row. The samples placed in the sample room are presented alternately with varying durations. Sensor responses recorded during the sample presentation were then analyzed. The sensor response results obtained for each sensor on the average of the three measurements are negative, so it can be concluded that in the re-flushing process, both sensors have recovered and are ready to be used for the second data collection. The value of the sensor response change in the flushing process is high enough so that the purging time can be reduced to shorten the sensor cleaning time from exposure to the sample aroma. The characteristics of detection system on the speed of sample presentation with the sampling period of 480 seconds can recover the response of the semiconductor gas sensor based on the results of ∆P, which is added with ∆F.

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.

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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
978-94-6463-086-2
ISSN
2468-5747
DOI
10.2991/978-94-6463-086-2_76How 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

TY  - CONF
AU  - Radi
AU  - Barokah
AU  - Luthfi Fadillah Zamzami
AU  - Andi Setiawan
PY  - 2022
DA  - 2022/12/28
TI  - Response of Semiconductor Sensor in An Electronic Nose with Multi-Sample Delivery System
BT  - Proceedings of the International Conference on Sustainable Environment, Agriculture and Tourism (ICOSEAT 2022)
PB  - Atlantis Press
SP  - 559
EP  - 563
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-086-2_76
DO  - 10.2991/978-94-6463-086-2_76
ID  - 2022
ER  -