DocumentCode
3382205
Title
Characterization of Smelling Contaminations on Textiles using a Gradient Micro Array as an Electronic Nose
Author
Haeringer, Daniel ; Goschnick, Joachim
Author_Institution
Inst. fur Mikrostrukturtechnik, Karlsruhe
fYear
2007
fDate
10-14 June 2007
Firstpage
2477
Lastpage
2480
Abstract
Visually clean textiles and garments are often cleaned to remove unpleasant odors rather than to eliminate substantial dirt. In order to minimize the amount of washing agent for ecological and cost considerations the type and the strength of laundry odor contaminations as well as the type of the fabrics have to be taken into account. Therefore, an electronic nose is an appropriate analytical device to collect this information. Because of its high sensitivity and discrimination power, its ability to be integrated into a washing machine, its continuous mode operation and its easy fabrication the Karlsruhe Micronose KAMINA with the unique gradient microarray of 38 sensor elements was investigated for fabric discrimination and odor determination. Using an air flow of 1 lit/min cotton, wool and other model fabrics with and without some representative odors have been found to be separable by the KAMINA system while the odor contamination could be distinguished and quantitatively determined. Hence, an autonomous prewashing odor monitor for laundry seem to be feasible.
Keywords
electronic noses; fabrics; Karlsruhe Micronose KAMINA; electronic nose; fabric discrimination; fabric type; gradient microarray; laundry odor contamination; odor determination; textile; Clothing; Contamination; Costs; Cotton; Electronic noses; Fabrication; Fabrics; Information analysis; Textiles; Washing machines; e-nose; gradient microarray; laundry odor screening; textile recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Solid-State Sensors, Actuators and Microsystems Conference, 2007. TRANSDUCERS 2007. International
Conference_Location
Lyon
Print_ISBN
1-4244-0842-3
Electronic_ISBN
1-4244-0842-3
Type
conf
DOI
10.1109/SENSOR.2007.4300673
Filename
4300673
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