Uncertainty estimation of ethanol concentration in simulated breath using enzyme-based biosensors
作者： Mary-Grace C. Danao , Shih-Fang Chen , Richard S. Gates
DOI: 10.1007/S00769-014-1088-X
关键词: Ethanol 、 Breath sampling 、 Analytical chemistry 、 Amperometry 、 Biosensor 、 Exhaled breath condensate 、 Chemistry 、 Repeatability 、 Amperometric biosensor 、 Uncertainty estimation
摘要: Exhaled breath (EB) contains volatile and nonvolatile compounds that are correlated with physiological processes in the body, these biomarkers hold enormous diagnostic potential when they adequately measured monitored. Thus, development of instrumentation, including enzyme-based biosensors, for monitoring applications has been expanding rapidly. In this paper, process estimating overall combined uncertainty predicting ethanol concentration, u(Cv)pred, using a calibrated alcohol oxidase-based amperometric biosensor is presented. Components contributed to u(Cv)pred were standard uncertainties associated simulation sample trace sampling temperature, regression analysis. both EB exhaled condensate (EBC) sensing, largest contributor was random effects captured by model at 38.2 % 39.8 %, respectively, EBC. This followed instrumentation (34.5 %) (25.3 sensing. The trend reversed EBC sensing having larger contribution (33.8 than (25.5 owing better repeatability measurements aqueous samples. remaining 2.0 0.9 due temperatures respectively. study provides framework how incorporate estimation applicable biosensing other biomarkers.
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