Приказ основних података о документу
Stochastic time response of adsorption-based micro/nanobiosensors with a fluidic reaction chamber: The influence of mass transfer
dc.creator | Jokić, Ivana | |
dc.creator | Đurić, Zoran G. | |
dc.creator | Radulović, Katarina | |
dc.creator | Frantlović, Miloš | |
dc.date.accessioned | 2018-09-04T08:19:55Z | |
dc.date.available | 2018-09-04T08:19:55Z | |
dc.date.issued | 2017 | |
dc.identifier.isbn | 978-1-5386-2563-7 | |
dc.identifier.issn | 2159-1679 | |
dc.identifier.uri | https://dais.sanu.ac.rs/123456789/3684 | |
dc.description.abstract | An approximate model for efficient analysis of stochastic time response of microfluidic biosensors is presented, that considers a random AD process coupled with mass transfer (convection and diffusion) of target substance particles. The deterministic model of sensor response is also reviewed. We perform the analysis of the mass transfer influence on the kinetics and the steady-state value of the response calculated according to the two models (deterministic and stochastic). The results are presented for the sensors with different micro/nanoscale active surfaces. The comparison of the responses obtained by using the two models can be utilized to distinguish the cases in which the application of the deterministic model is justified from those in which the stochastic model is necessary. The presented findings enable more accurate interpretation of measurement results obtained by using micro/nanobiosensors. | en |
dc.publisher | IEEE | |
dc.relation | info:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/32008/RS// | |
dc.relation | Serbian Academy of Sciences and Arts, Project F-150 | |
dc.rights | restrictedAccess | |
dc.source | 2017 IEEE 30th International Conference on Microelectronics (MIEL) | |
dc.subject | adsorption | |
dc.subject | biological system modeling | |
dc.subject | biological techniques | |
dc.subject | bioMEMS | |
dc.subject | biosensors | |
dc.subject | fluidic reaction chamber | |
dc.subject | mass transfer | |
dc.subject | mathematical modelling | |
dc.subject | microbiosensors | |
dc.subject | microfluidic biosensors | |
dc.subject | microfluidics | |
dc.subject | microscale active surfaces | |
dc.subject | microsensors | |
dc.subject | nanobiosensors | |
dc.subject | nanobiotechnology | |
dc.subject | nanoscale active surfaces | |
dc.subject | nanosensors | |
dc.subject | patient diagnosis | |
dc.subject | random adsorption-desorption process | |
dc.subject | sensor response | |
dc.subject | steady-state value | |
dc.subject | stochastic model | |
dc.subject | stochastic processes | |
dc.subject | stochastic time response | |
dc.subject | target substance particles | |
dc.subject | time factors | |
dc.title | Stochastic time response of adsorption-based micro/nanobiosensors with a fluidic reaction chamber: The influence of mass transfer | en |
dc.type | conferenceObject | |
dc.rights.license | ARR | |
dcterms.abstract | Франтловић, Милош; Јокић, Ивана; Ђурић, Зоран; Радуловић, Катарина; | |
dc.citation.spage | 127 | |
dc.citation.epage | 130 | |
dc.identifier.doi | 10.1109/MIEL.2017.8190084 | |
dc.identifier.scopus | 2-s2.0-85043596742 | |
dc.type.version | publishedVersion | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_dais_3684 |