Quantification of carcinogenic odor of formaldehyde with electronic nose technology

Muhammad Hassan; Muhammad Umar; Amine Bermak; Amine Ait Si Ali; Abbes Amira

doi:10.1109/SysEng.2016.7753123

Quantification of carcinogenic odor of formaldehyde with electronic nose technology

Muhammad Hassan, Muhammad Umar, Amine Bermak, Amine Ait Si Ali, Abbes Amira

Computer Information Sciences Department

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Based on recent experimental discoveries about a link between the length of exposure to formaldehyde and cancers of the lymphatic and hematopoietic systems, we present a low-cost and compact solution for monitoring formaldehyde in the environment by using electronic nose technology. This solution is centered on an array of gas sensors and a regression method. It has the potential to be deployment friendly, and can be used for long-Term monitoring, which is not economically feasible with the currently available methods for formaldehyde quantification. As a case study, we integrate eight low-cost commercial gas sensors to acquire signatures of formaldehyde exposure within a target concentration range from 0.25 to 2.5 ppm. For the quantification, a support vector regression method is used on the experimental data, quantifying it with a mean square error of 0.00097 in the target concentration range.

Original language	English
Title of host publication	ISSE 2016 - 2016 International Symposium on Systems Engineering - Proceedings Papers
Publisher	IEEE
ISBN (Electronic)	9781509007936
DOIs	https://doi.org/10.1109/SysEng.2016.7753123
Publication status	Published - 22 Nov 2016
Event	2nd Annual IEEE International Symposium on Systems Engineering, ISSE 2016 - Edinburgh, United Kingdom Duration: 3 Oct 2016 → 5 Oct 2016

Conference

Conference	2nd Annual IEEE International Symposium on Systems Engineering, ISSE 2016
Country/Territory	United Kingdom
City	Edinburgh
Period	3/10/16 → 5/10/16

Keywords

array of gas sensors
electronic nose
formaldehyde quantification
support vector regression

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/SysEng.2016.7753123

Cite this

@inproceedings{f2962722c3654ad18b762233fe366084,

title = "Quantification of carcinogenic odor of formaldehyde with electronic nose technology",

abstract = "Based on recent experimental discoveries about a link between the length of exposure to formaldehyde and cancers of the lymphatic and hematopoietic systems, we present a low-cost and compact solution for monitoring formaldehyde in the environment by using electronic nose technology. This solution is centered on an array of gas sensors and a regression method. It has the potential to be deployment friendly, and can be used for long-Term monitoring, which is not economically feasible with the currently available methods for formaldehyde quantification. As a case study, we integrate eight low-cost commercial gas sensors to acquire signatures of formaldehyde exposure within a target concentration range from 0.25 to 2.5 ppm. For the quantification, a support vector regression method is used on the experimental data, quantifying it with a mean square error of 0.00097 in the target concentration range.",

keywords = "array of gas sensors, electronic nose, formaldehyde quantification, support vector regression",

author = "Muhammad Hassan and Muhammad Umar and Amine Bermak and Ali, {Amine Ait Si} and Abbes Amira",

year = "2016",

month = nov,

day = "22",

doi = "10.1109/SysEng.2016.7753123",

language = "English",

booktitle = "ISSE 2016 - 2016 International Symposium on Systems Engineering - Proceedings Papers",

publisher = "IEEE",

address = "United States",

note = "2nd Annual IEEE International Symposium on Systems Engineering, ISSE 2016 ; Conference date: 03-10-2016 Through 05-10-2016",

}

Hassan, M, Umar, M, Bermak, A, Ali, AAS & Amira, A 2016, Quantification of carcinogenic odor of formaldehyde with electronic nose technology. in ISSE 2016 - 2016 International Symposium on Systems Engineering - Proceedings Papers., 7753123, IEEE, 2nd Annual IEEE International Symposium on Systems Engineering, ISSE 2016, Edinburgh, United Kingdom, 3/10/16. https://doi.org/10.1109/SysEng.2016.7753123

TY - GEN

T1 - Quantification of carcinogenic odor of formaldehyde with electronic nose technology

AU - Hassan, Muhammad

AU - Umar, Muhammad

AU - Bermak, Amine

AU - Ali, Amine Ait Si

AU - Amira, Abbes

PY - 2016/11/22

Y1 - 2016/11/22

N2 - Based on recent experimental discoveries about a link between the length of exposure to formaldehyde and cancers of the lymphatic and hematopoietic systems, we present a low-cost and compact solution for monitoring formaldehyde in the environment by using electronic nose technology. This solution is centered on an array of gas sensors and a regression method. It has the potential to be deployment friendly, and can be used for long-Term monitoring, which is not economically feasible with the currently available methods for formaldehyde quantification. As a case study, we integrate eight low-cost commercial gas sensors to acquire signatures of formaldehyde exposure within a target concentration range from 0.25 to 2.5 ppm. For the quantification, a support vector regression method is used on the experimental data, quantifying it with a mean square error of 0.00097 in the target concentration range.

AB - Based on recent experimental discoveries about a link between the length of exposure to formaldehyde and cancers of the lymphatic and hematopoietic systems, we present a low-cost and compact solution for monitoring formaldehyde in the environment by using electronic nose technology. This solution is centered on an array of gas sensors and a regression method. It has the potential to be deployment friendly, and can be used for long-Term monitoring, which is not economically feasible with the currently available methods for formaldehyde quantification. As a case study, we integrate eight low-cost commercial gas sensors to acquire signatures of formaldehyde exposure within a target concentration range from 0.25 to 2.5 ppm. For the quantification, a support vector regression method is used on the experimental data, quantifying it with a mean square error of 0.00097 in the target concentration range.

KW - array of gas sensors

KW - electronic nose

KW - formaldehyde quantification

KW - support vector regression

U2 - 10.1109/SysEng.2016.7753123

DO - 10.1109/SysEng.2016.7753123

M3 - Conference contribution

AN - SCOPUS:85006377728

BT - ISSE 2016 - 2016 International Symposium on Systems Engineering - Proceedings Papers

PB - IEEE

T2 - 2nd Annual IEEE International Symposium on Systems Engineering, ISSE 2016

Y2 - 3 October 2016 through 5 October 2016

ER -

Quantification of carcinogenic odor of formaldehyde with electronic nose technology

Abstract

Conference

Keywords

UN SDGs

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