Nonlinear Analytics for Electrochemical Biosensor Design Using Enzyme Aggregates and Delayed Mass Action

Autor:	Vasyl Martsenyuk, Aleksandra Klos-Witkowska, Sergei Dzyadevych, Andriy Sverstiuk
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	electrochemical biosensor enzyme kinetics Michaelis–Menten model Brown’s model mass action law substrate Chemical technology TP1-1185
Zdroj:	Sensors, Vol 22, Iss 3, p 980 (2022)
Druh dokumentu:	article
ISSN:	22030980 1424-8220
DOI:	10.3390/s22030980
Popis:	The paper is devoted to the extension of Brown’s model of enzyme kinetics to the case with distributed delays. Firstly, we construct a multi-substrate multi-inhibitor model using discrete and distributed delays. Furthermore, we consider simplified models including one substrate and one inhibitor, for which an experimental study has been performed. The algorithm of parameter identifications was developed which was tested on the experimental data of solution conductivity. Both the model and Kohlrausch’s law parameters are obtained as a result of the optimization procedure. Comparison of plots constructed with the help of the estimated parameters has shown that in such case the model with distributed delays is more chemically adequate in comparison with the discrete one. The methods of generalization of the results to the multi-substrate multi-inhibitor cases are discussed.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/13b5779fa55a46528a1a9a27fe2ec8dc Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.