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.
|Title of host publication||ISSE 2016 - 2016 International Symposium on Systems Engineering - Proceedings Papers|
|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||2nd Annual IEEE International Symposium on Systems Engineering, ISSE 2016|
|Period||3/10/16 → 5/10/16|