Publication: Volatile urine biomarkers detection in type II diabetes towards use as smart healthcare application
Issued Date
2017-03-23
Resource Type
Other identifier(s)
2-s2.0-85017502548
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
2017 9th International Conference on Knowledge and Smart Technology: Crunching Information of Everything, KST 2017. (2017), 178-181
Suggested Citation
Phuntsho Choden, Thara Seesaard, Tanthip Eamsa-Ard, Chutintorn Sriphrapradang, Teerakiat Kerdcharoen Volatile urine biomarkers detection in type II diabetes towards use as smart healthcare application. 2017 9th International Conference on Knowledge and Smart Technology: Crunching Information of Everything, KST 2017. (2017), 178-181. doi:10.1109/KST.2017.7886086 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/42350
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
Volatile urine biomarkers detection in type II diabetes towards use as smart healthcare application
Other Contributor(s)
Abstract
© 2017 IEEE. In this work, we fabricated six chemiresistive sensors, employed in a portable e-nose and performed tests with urine samples from two groups of population, namely type II diabetes and healthy subjects. To identify sensitivity and selectivity of chemiresistive gas sensors, the first test was performed towards five volatile organic compounds (VOCs) which are particularly found in human urine profiles and the second test with real urine samples from the volunteers. Principal component analysis (PCA) and cluster analysis (CA) applied to validate the obtained sensing response successfully spilt urinary volatile odors into two separate groups of diabetes and healthy status. A hypothesis testing (p-value approach) demonstrated that S3 and S4 (p0.05) responded specifically to the urine odors from diabetic patients and healthy subjects. Our findings suggest the possibility of using chemiresistive gas sensors in e-nose as an alternative diagnostic tool for diabetes detection through analysis of volatile urine odors.