DocumentCode
1900803
Title
Identification of wound infection by limited set of volatile products
Author
Persaud, Krishna C. ; Pisanelli, A.M. ; Bailey, Alexander ; Dunn, Kyle ; Falasconi, M. ; Pardo, M. ; Sberveglieri, G. ; Gobbi, M. ; Senuliene, D. ; Setkus, A. ; Schreiter, U. ; Rimdeika, R.
Author_Institution
SCEAS, Univ. of Manchester, Manchester
fYear
2008
fDate
26-29 Oct. 2008
Firstpage
1375
Lastpage
1377
Abstract
Based on an array of combined metal oxide and conductive polymer gas sensors electronic an odor recognition system is being developed for detection of bacteria types at the early stages of wound infection. It is proved by GC-MS studies that living bacteria that are typical infectious agents in clinical practice can be distinguished from each other by means of a limited set of key volatile products. Using a set of these reference volatile compounds criteria for selection and calibration of gas sensors were defined. Aiming to increase reliability of bacteria identification SPME preconcentration was used for sampling of the headspace air and response to variable concentrations of volatiles emitted from the SPME fiber is processed for evaluation of the output parameters of the sensor module. Discrimination between classes of volatile products is obtained by a PCA analysis of the dynamic parameters of sensor responses to the headspace air of clinical samples collected by swabbing.
Keywords
biochemistry; biomedical measurement; calibration; conducting polymers; electronic noses; gas sensors; microorganisms; sensor arrays; wounds; MOS sensor; PCA analysis; SPME preconcentration; clinical samples; conductive polymer gas sensors; electronic nose; gas sensor array; headspace air sampling; infectious agents; living bacteria identification; metal oxide sensor; odor recognition system; sensor calibration; volatile compounds; wound infection identification; Gas detectors; Hospitals; Laboratories; Medical treatment; Microorganisms; Optical fiber sensors; Sampling methods; Sensor arrays; Skin; Wounds;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensors, 2008 IEEE
Conference_Location
Lecce
ISSN
1930-0395
Print_ISBN
978-1-4244-2580-8
Electronic_ISBN
1930-0395
Type
conf
DOI
10.1109/ICSENS.2008.4716702
Filename
4716702
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