Monitoring of Volatile and Nonvolatile Biomarkers Concentrations in Simulated Exhaled Breath Using Biosensors: Considerations in Standardizing Breath Collection
Jul 29, 2014
from 01:00 PM to 02:30 PM
|Where||Engr. IV Bldg., Tesla Room 53-125|
|Contact Name||Prof. Aydogan Ozcan|
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University of Illinois at Urbana-Champaign
Breath monitoring is a non-invasive, safe, and repeatable approach to determining the health status of humans and other mammals. Some metabolic products in exhaled breath were proven or promising to related to disease status and can serve as biomarkers for diagnosis. However, volatile organic compounds (VOCs) and nonvolatile organic compounds (non-VOCs) were retained differently when sampling because of their nature properties (e.g. solubility, volatility). Moreover, sampling conditions, such as exhaled temperature, and breathing rate greatly affected the different intrinsic properties. The object of this research is to determine the behavior of VOC and non-VOC biomarkers in simulated exhaled breath (EB) and exhaled breath condensate (EBC) and develop the predictive model under varied sampling conditions by using ethanol and hydrogen peroxide as the model biomarkers. A breath output simulator was developed to simulate the conditions of exhaled breath. Screen printed carbon electrodes (SPCEs) were used solely or immobilized with alcohol oxidase as biosensors for detecting the chosen biomarkers amperometrically. Akaike's information criterion, Bayesian information criterion, and cross validation were adopted in predictive model selections, and uncertainty analyses were surveyed to further clarify the margin of doubt for the measurement of each sampling factors.
Dr. Shih-Fang Chen is currently a postdoctoral researcher at the University of Illinois at Urbana-Champaign. She received her Ph.D. in Agricultural and Biological Engineering from the University of Illinois at Urbana-Champaign. Shih-Fang’s research focus areas include biosensor development, image processing, characterization of biomass storage conditions and chemical composition, and multivariate analyses. She had more than 5-years experience in teaching signal processing, thermodynamics, and food engineering related courses.