Analysis of Stochastic Time Response of Microfluidic Biosensors in the Case of Competitive Adsorption of Two Analytes
A model of stochastic time response of adsorption-based microfluidic biosensors is presented, that considers the competitive adsorption-desorption process coupled with mass transfer of two analytes. By using the model we analyze the expected value of the adsorbed particles number of each analyte, wh...
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doaj-3774065f414d484291931890fa479d2f2020-11-24T21:28:33ZengMDPI AGProceedings2504-39002018-12-0121399110.3390/proceedings2130991proceedings2130991Analysis of Stochastic Time Response of Microfluidic Biosensors in the Case of Competitive Adsorption of Two AnalytesIvana Jokić0Zoran Djurić1Katarina Radulović2Miloš Frantlović3ICTM—Institute of Microelectronic Technologies, University of Belgrade, 11000 Belgrade, SerbiaInstitute of Technical Sciences of SASA, Serbian Academy of Sciences and Arts, 11000 Belgrade, SerbiaICTM—Institute of Microelectronic Technologies, University of Belgrade, 11000 Belgrade, SerbiaICTM—Institute of Microelectronic Technologies, University of Belgrade, 11000 Belgrade, SerbiaA model of stochastic time response of adsorption-based microfluidic biosensors is presented, that considers the competitive adsorption-desorption process coupled with mass transfer of two analytes. By using the model we analyze the expected value of the adsorbed particles number of each analyte, which determine the sensor response kinetics. The comparison with the case when only one analyte exists is used for investigation of the influence of competitive adsorption on the sensor response. The response kinetics analyzed by using the stochastic model is compared with the kinetics predicted by the deterministic response model. The results are useful for optimization of micro/nanosensors intended for detection of substances in ultra-low concentrations in complex samples.https://www.mdpi.com/2504-3900/2/13/991microfluidic sensorstochastic time responsecompetitive adsorptionmass transfer |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ivana Jokić Zoran Djurić Katarina Radulović Miloš Frantlović |
spellingShingle |
Ivana Jokić Zoran Djurić Katarina Radulović Miloš Frantlović Analysis of Stochastic Time Response of Microfluidic Biosensors in the Case of Competitive Adsorption of Two Analytes Proceedings microfluidic sensor stochastic time response competitive adsorption mass transfer |
author_facet |
Ivana Jokić Zoran Djurić Katarina Radulović Miloš Frantlović |
author_sort |
Ivana Jokić |
title |
Analysis of Stochastic Time Response of Microfluidic Biosensors in the Case of Competitive Adsorption of Two Analytes |
title_short |
Analysis of Stochastic Time Response of Microfluidic Biosensors in the Case of Competitive Adsorption of Two Analytes |
title_full |
Analysis of Stochastic Time Response of Microfluidic Biosensors in the Case of Competitive Adsorption of Two Analytes |
title_fullStr |
Analysis of Stochastic Time Response of Microfluidic Biosensors in the Case of Competitive Adsorption of Two Analytes |
title_full_unstemmed |
Analysis of Stochastic Time Response of Microfluidic Biosensors in the Case of Competitive Adsorption of Two Analytes |
title_sort |
analysis of stochastic time response of microfluidic biosensors in the case of competitive adsorption of two analytes |
publisher |
MDPI AG |
series |
Proceedings |
issn |
2504-3900 |
publishDate |
2018-12-01 |
description |
A model of stochastic time response of adsorption-based microfluidic biosensors is presented, that considers the competitive adsorption-desorption process coupled with mass transfer of two analytes. By using the model we analyze the expected value of the adsorbed particles number of each analyte, which determine the sensor response kinetics. The comparison with the case when only one analyte exists is used for investigation of the influence of competitive adsorption on the sensor response. The response kinetics analyzed by using the stochastic model is compared with the kinetics predicted by the deterministic response model. The results are useful for optimization of micro/nanosensors intended for detection of substances in ultra-low concentrations in complex samples. |
topic |
microfluidic sensor stochastic time response competitive adsorption mass transfer |
url |
https://www.mdpi.com/2504-3900/2/13/991 |
work_keys_str_mv |
AT ivanajokic analysisofstochastictimeresponseofmicrofluidicbiosensorsinthecaseofcompetitiveadsorptionoftwoanalytes AT zorandjuric analysisofstochastictimeresponseofmicrofluidicbiosensorsinthecaseofcompetitiveadsorptionoftwoanalytes AT katarinaradulovic analysisofstochastictimeresponseofmicrofluidicbiosensorsinthecaseofcompetitiveadsorptionoftwoanalytes AT milosfrantlovic analysisofstochastictimeresponseofmicrofluidicbiosensorsinthecaseofcompetitiveadsorptionoftwoanalytes |
_version_ |
1725969804204965888 |