Publication:
Self-screening for diabetes by sniffing urine samples based on a hand-held electronic nose

dc.contributor.authorThara Seesaarden_US
dc.contributor.authorChutintorn Sriphrapradangen_US
dc.contributor.authorTaya Kitiyakaraen_US
dc.contributor.authorTeerakiat Kerdcharoenen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-12-21T07:39:08Z
dc.date.accessioned2019-03-14T08:03:37Z
dc.date.available2018-12-21T07:39:08Z
dc.date.available2019-03-14T08:03:37Z
dc.date.issued2017-02-21en_US
dc.description.abstract© 2016 IEEE. Biomedical equipment for early health screening and classification of diseases are useful to assist in the medical diagnosis and maintaining health. Diabetes is a common and increasing disease worldwide. Thus, the development of a new screening method using a urine odor detection device for identifying type 2 diabetes mellitus should be very beneficial. In this study, we report a self-monitoring system to detect specific sweet-smelling urine odor made from four polymer/functionalized-SWCNTs nanocomposites gas sensors, also known as a hand-held e-nose device. The sensitivity and specificity of gas sensing units were characterized and evaluated in the static chamber contains nitrogen gas at room temperature (25°C). Six volatile organic compounds (VOCs) such as ammonia, ethyl methyl ketone, butyric acid, acetic acid, acetone and water were used as biomarkers to represent the many types of urinary volatile compounds found in diabetes mellitus and were used to examine the performance of our sensors. Preliminary evaluation of urine odor sensors with a hand held e-nose device showed that these sensors have high response to ammonia, ethyl methyl ketone and acetone, respectively. Furthermore, the hand-held e-nose was able to discriminate between urinary odors from four diabetic patients and three healthy volunteers. The individual's specific urine odor (urine's odor print) from seven volunteers was confirmed by cluster analysis (CA) method and principal component analysis (PCA) which successfully classified 99.5%. Therefore, this personal diagnostic screening device is likely to be useful for real-Time self-monitoring of urine odor in patients with diabetes mellitus and those who are at high risk of developing diabetes disease. In addition, this screening method is painlessness, non-invasive, safe and convenient for integrating health tracking into the future smart home.en_US
dc.identifier.citationBMEiCON 2016 - 9th Biomedical Engineering International Conference. (2017)en_US
dc.identifier.doi10.1109/BMEiCON.2016.7859586en_US
dc.identifier.other2-s2.0-85015956808en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/42591
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85015956808&origin=inwarden_US
dc.subjectEngineeringen_US
dc.titleSelf-screening for diabetes by sniffing urine samples based on a hand-held electronic noseen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85015956808&origin=inwarden_US

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