Optimization of the multianalyte determination with biased biosensor response

•The analytes determination with biosensor by reverse problem solving is suggested.•The optimization method of quantitative analysis of biosensor response is proposed.•The multianalyte determination is based on enzyme-catalyzed substrates conversion.•The influence of white noise as well as temperature induced trend is analyzed.•The accuracy of concentration prediction depends on the diffusion modules.

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.