Zobrazeno 1 - 10
of 223
pro vyhledávání: '"Juozas Kulys"'
Publikováno v:
Nonlinear Analysis, Vol 23, Iss 3 (2018)
A model for the numerical simulation of the action of microbioreactor acting in the continuous flow mode was developed. The microbioreactor system was mathematically modelled by a two-compartment model based on transient reaction-diffusion equations
Externí odkaz:
https://doaj.org/article/f738b17fcc5341cb9df7a5526debe3c6
Publikováno v:
Sensors, Vol 14, Iss 3, Pp 4634-4656 (2014)
The optimization-based quantitative determination of multianalyte concentrations from biased biosensor responses is investigated under internal and external diffusion-limited conditions. A computational model of a biocatalytic amperometric biosensor
Externí odkaz:
https://doaj.org/article/2ebf38e032c8444187fec594ac8aac75
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 57, Iss A (2016)
We develop a general algorithm for fitting the biochemical kinetics data. The developed algorithm searches and analyzes numerous minima. This approach allows us to analyze biochemical data without a priori quasi-steady-state assumptions. The algorith
Externí odkaz:
https://doaj.org/article/0545ea7161854c139cbfe90489969263
Publikováno v:
Journal of Mathematical Chemistry. 59:168-185
This paper presents a mathematical model of a batch stirred tank reactor based on an array of identical spherical porous microbioreactors loaded with non specific glucose dehydrogenase and oxygen reducing enzyme, i.e. laccase. The model was validated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::625e13e071be76d44695626d8338f5a2
https://doi.org/10.1007/s10910-020-01187-2
https://doi.org/10.1007/s10910-020-01187-2
Publikováno v:
Sensors, Vol 12, Iss 7, Pp 9146-9160 (2012)
This paper presents a mathematical model of carbon nanotubes-based mediatorless biosensor. The developed model is based on nonlinear non-stationary reaction-diffusion equations. The model involves four layers (compartments): a layer of enzyme solutio
Externí odkaz:
https://doaj.org/article/81acbe05204f4eca83ae9d07e4894747
Publikováno v:
Sensors, Vol 12, Iss 4, Pp 4897-4917 (2012)
In this paper the operation of an amperometric biosensor producing a chemically amplified signal is modelled numerically. The chemical amplification is achieved by using synergistic substrates. The model is based on non-stationary reaction-diffusion
Externí odkaz:
https://doaj.org/article/d6600622426b462db95b399ee3fd2d7b
Autor:
Juozas Kulys, Romas Baronas
Publikováno v:
Sensors, Vol 8, Iss 8, Pp 4800-4820 (2008)
The response of an amperometric biosensor based on a chemically modified electrode was modelled numerically. A mathematical model of the biosensor is based on a system of non-linear reaction-diffusion equations. The modelling biosensor comprises two
Externí odkaz:
https://doaj.org/article/4f8706e72b134a87aa515b14412ef490
Publikováno v:
Sensors, Vol 7, Iss 11, Pp 2723-2740 (2007)
The response of a peroxidase-based optical biosensor was modelled digitally.A mathematical model of the optical biosensor is based on a system of non-linear reaction-diffusion equations. The modelling biosensor comprises two compartments, an enzyme l
Externí odkaz:
https://doaj.org/article/363a4a46e9c84291af7cd61e9e968782
Autor:
Audrius Laurynėnas, Juozas Kulys
Publikováno v:
Nonlinear Analysis, Vol 20, Iss 1 (2015)
Finding reaction rate constants in a complex chemical mechanism is a complicated problem. These complications can be attributed mainly to the nonlinearity of such systems, where the least squares optimization procedure fail when experimental data are
Externí odkaz:
https://doaj.org/article/b828d43bf4134b649b98990ea215334e
Autor:
Romas Baronas, Juozas Kulys
Publikováno v:
Sensors, Vol 6, Iss 11, Pp 1513-1522 (2006)
The response of an amperometric biosensor at mixed enzyme kinetics anddiffusion limitations was modelled digitally in the case of substrate inhibition. Digitalsimulations were carried out using a finite difference technique. Calculations showedcomple
Externí odkaz:
https://doaj.org/article/60771ac39bc94d84950ade558d477248