Computational Modeling of the Electrochemical System of Lipase Activity Detection

This paper presents computational modeling of response kinetics of bioelectroanalytical system based on solid supported lipase substrate and lipase interaction. The model assumes that lipase substrate is formed by dripping and drying a small amount of the ethanol solution of 9-(5’-ferrocenylpen...

Full description

Bibliographic Details
Main Authors: Valdemaras Razumas, Gintaras ValinÄÂius, Ilja Ignatjev, Feliksas Ivanauskas, Mantas Puida
Format: Article
Language:English
Published: MDPI AG 2008-06-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/8/6/3873/
_version_ 1798035324580921344
author Valdemaras Razumas
Gintaras ValinÄÂius
Ilja Ignatjev
Feliksas Ivanauskas
Mantas Puida
author_facet Valdemaras Razumas
Gintaras ValinÄÂius
Ilja Ignatjev
Feliksas Ivanauskas
Mantas Puida
author_sort Valdemaras Razumas
collection DOAJ
description This paper presents computational modeling of response kinetics of bioelectroanalytical system based on solid supported lipase substrate and lipase interaction. The model assumes that lipase substrate is formed by dripping and drying a small amount of the ethanol solution of 9-(5’-ferrocenylpentanoyloxy)nonyl disulfide (FPONDS) and that lipase is capable of cleaving FPONDS ester bonds via hydrolysis mechanism. Two mathematical models have been developed and evaluated trough computational simulation series by comparing them to experimental data. The results of simulation demonstrate that a good fitting might be obtained only taking into account non-linear substrate wash off process.
first_indexed 2024-04-11T20:56:39Z
format Article
id doaj.art-8e4d30523173463e806f68fc0f74520d
institution Directory Open Access Journal
issn 1424-8220
language English
last_indexed 2024-04-11T20:56:39Z
publishDate 2008-06-01
publisher MDPI AG
record_format Article
series Sensors
spelling doaj.art-8e4d30523173463e806f68fc0f74520d2022-12-22T04:03:40ZengMDPI AGSensors1424-82202008-06-018638733879Computational Modeling of the Electrochemical System of Lipase Activity DetectionValdemaras RazumasGintaras ValinÄÂiusIlja IgnatjevFeliksas IvanauskasMantas PuidaThis paper presents computational modeling of response kinetics of bioelectroanalytical system based on solid supported lipase substrate and lipase interaction. The model assumes that lipase substrate is formed by dripping and drying a small amount of the ethanol solution of 9-(5’-ferrocenylpentanoyloxy)nonyl disulfide (FPONDS) and that lipase is capable of cleaving FPONDS ester bonds via hydrolysis mechanism. Two mathematical models have been developed and evaluated trough computational simulation series by comparing them to experimental data. The results of simulation demonstrate that a good fitting might be obtained only taking into account non-linear substrate wash off process.http://www.mdpi.com/1424-8220/8/6/3873/Amperometric biosensorlipase activityferrocene-based substratemodelingsimulation
spellingShingle Valdemaras Razumas
Gintaras ValinÄÂius
Ilja Ignatjev
Feliksas Ivanauskas
Mantas Puida
Computational Modeling of the Electrochemical System of Lipase Activity Detection
Sensors
Amperometric biosensor
lipase activity
ferrocene-based substrate
modeling
simulation
title Computational Modeling of the Electrochemical System of Lipase Activity Detection
title_full Computational Modeling of the Electrochemical System of Lipase Activity Detection
title_fullStr Computational Modeling of the Electrochemical System of Lipase Activity Detection
title_full_unstemmed Computational Modeling of the Electrochemical System of Lipase Activity Detection
title_short Computational Modeling of the Electrochemical System of Lipase Activity Detection
title_sort computational modeling of the electrochemical system of lipase activity detection
topic Amperometric biosensor
lipase activity
ferrocene-based substrate
modeling
simulation
url http://www.mdpi.com/1424-8220/8/6/3873/
work_keys_str_mv AT valdemarasrazumas computationalmodelingoftheelectrochemicalsystemoflipaseactivitydetection
AT gintarasvalinaaius computationalmodelingoftheelectrochemicalsystemoflipaseactivitydetection
AT iljaignatjev computationalmodelingoftheelectrochemicalsystemoflipaseactivitydetection
AT feliksasivanauskas computationalmodelingoftheelectrochemicalsystemoflipaseactivitydetection
AT mantaspuida computationalmodelingoftheelectrochemicalsystemoflipaseactivitydetection