Optimization of the multianalyte determination with biased biosensor response

被引:7
|
作者
Baronas, Romas [1 ]
Kulys, Juozas [2 ]
Zilinskas, Antanas [3 ]
Lancinskas, Algirdas [3 ]
Baronas, Darius [3 ]
机构
[1] Vilnius State Univ, Fac Math & Informat, Naugarduko 24, LT-03225 Vilnius, Lithuania
[2] Vilnius State Univ, Inst Biochem, LT-08662 Vilnius, Lithuania
[3] Vilnius State Univ, Inst Math & Informat, LT-08663 Vilnius, Lithuania
关键词
Modeling; Simulation; Optimization; Noise; Biosensor; Multianalyte; AMPEROMETRIC BIOSENSORS; NEURAL-NETWORKS; ENZYME; MIXTURES; CHEMOMETRICS; PESTICIDE;
D O I
10.1016/j.chemolab.2013.05.003
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The investigation is dedicated to the optimization of calculation of multianalyte concentrations using a response of a biocatalytical amperometric biosensor. Mathematical and corresponding numerical models for a single enzyme two substrates amperometric biosensor were built to generate pseudo-experimental responses to mixtures of compounds. Numerically simulated biosensor responses to different concentrations of the substrates have been used to extract the information on the dependence of the transient output signal on the concentrations of the compounds. The resulting information has been used to construct a mathematical optimization model for determination of the concentrations of the compounds from a given transient biosensor response. A numerical implementation of the optimization model has been used to investigate opportunities and the precision of the determination of different concentrations. The influence of the possible discrepancy of the measurements of biosensor response, such as different types of trend or white noise, to the precision of the determination has been also investigated. The numerical experiments showed that the precision of the concentrations estimation significantly depends on the biosensor response being under either the diffusion or the enzyme kinetics control. The concentration estimation is more accurate for a substrate corresponding to a greater diffusion module than for another substrate corresponding to a lower diffusion module. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:108 / 116
页数:9
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