DocumentCode :
189955
Title :
Threshold detection of carcinogenic odor of formaldehyde with wireless electronic nose
Author :
Hassan, Muhammad ; Bermak, Amine
Author_Institution :
Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
fYear :
2014
fDate :
2-5 Nov. 2014
Firstpage :
1368
Lastpage :
1371
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.
Keywords :
chemical variables measurement; electronic noses; encoding; organic compounds; pattern recognition; sensor arrays; statistical analysis; wireless sensor networks; United States Occupational Safety and Health Administration agency; air sample collection; bioinspired coding; carcinogenic odor detection; formaldehyde recognition; gas signature acquisition; human carcinogen classification; indoor environment; metal-oxide gas sensor array; radiofrequency module; statistical pattern recognition algorithm; ubiquitous compound; volatile organic compound; wireless communication; wireless electronic nose; Arrays; Electronic noses; Gases; Libraries; Vectors; Wireless communication; Wireless sensor networks; Formaldehyde detection; short term exposure limit; wireless electronic nose;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SENSORS, 2014 IEEE
Conference_Location :
Valencia
Type :
conf
DOI :
10.1109/ICSENS.2014.6985266
Filename :
6985266
Link To Document :
بازگشت