Abstract
Exposure to volatile organic compounds in the indoor environment is considered as a serious health threat to occupants of buildings. Formaldehyde is one of the major concerns because it is classified as a human carcinogen. It is a ubiquitous compound that is emitted from many household products. The United States Occupational Safety and Health Administration agency has set the short term exposure limit to formaldehyde at 2 ppm. In traditional monitoring methods, air samples are collected from the indoor environment and then specialized staff analyze these samples in the laboratory to identify formaldehyde in the sampled space. These methods cannot be adopted for long-term monitoring due to the long operational cycle and high cost. In this paper, we present a compact wireless electronic nose for formaldehyde recognition. The wireless electronic nose is implemented by integrating an array of 6 metal-oxide gas sensors for acquiring the gas signature and a radio frequency module for wireless communication. Bio-inspired coding is used to differentiate the signature of formaldehyde from other commonly found indoor gases. After identification of formaldehyde, statistical pattern recognition algorithms are used to determine that its concentration level is above or below the short term exposure limit.
| Original language | English |
|---|---|
| Title of host publication | IEEE SENSORS 2014, Proceedings |
| Editors | Francisco J. Arregui |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1368-1371 |
| Number of pages | 4 |
| Edition | December |
| ISBN (Electronic) | 9781479901616 |
| DOIs | |
| Publication status | Published - 12 Dec 2014 |
| Externally published | Yes |
| Event | 13th IEEE SENSORS Conference, SENSORS 2014 - Valencia, Spain Duration: 2 Nov 2014 → 5 Nov 2014 |
Publication series
| Name | Proceedings of IEEE Sensors |
|---|---|
| Number | December |
| Volume | 2014-December |
| ISSN (Print) | 1930-0395 |
| ISSN (Electronic) | 2168-9229 |
Conference
| Conference | 13th IEEE SENSORS Conference, SENSORS 2014 |
|---|---|
| Country/Territory | Spain |
| City | Valencia |
| Period | 2/11/14 → 5/11/14 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
Keywords
- Formaldehyde detection
- Short term exposure limit
- Wireless electronic nose
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