Stochastic time response of adsorption-based micro/nanobiosensors with a fluidic reaction chamber: The influence of mass transfer
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.
Keywords:
adsorption / biological system modeling / biological techniques / bioMEMS / biosensors / fluidic reaction chamber / mass transfer / mathematical modelling / microbiosensors / microfluidic biosensors / microfluidics / microscale active surfaces / microsensors / nanobiosensors / nanobiotechnology / nanoscale active surfaces / nanosensors / patient diagnosis / random adsorption-desorption process / sensor response / steady-state value / stochastic model / stochastic processes / stochastic time response / target substance particles / time factorsSource:
2017 IEEE 30th International Conference on Microelectronics (MIEL), 2017, 127-130Publisher:
- IEEE
Funding / projects:
- Micro- Nanosystems and Sensors for Electric Power and Process Industry and Environmental Protection (RS-32008)
- Serbian Academy of Sciences and Arts, Project F-150
DOI: 10.1109/MIEL.2017.8190084
ISBN: 978-1-5386-2563-7
ISSN: 2159-1679
Scopus: 2-s2.0-85043596742
Collections
Institution/Community
Институт техничких наука САНУ / Institute of Technical Sciences of SASATY - CONF AU - Jokić, Ivana AU - Đurić, Zoran G. AU - Radulović, Katarina AU - Frantlović, Miloš PY - 2017 UR - https://dais.sanu.ac.rs/123456789/3684 AB - 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. PB - IEEE C3 - 2017 IEEE 30th International Conference on Microelectronics (MIEL) T1 - Stochastic time response of adsorption-based micro/nanobiosensors with a fluidic reaction chamber: The influence of mass transfer SP - 127 EP - 130 DO - 10.1109/MIEL.2017.8190084 UR - https://hdl.handle.net/21.15107/rcub_dais_3684 ER -
@conference{ author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš", year = "2017", 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.", publisher = "IEEE", journal = "2017 IEEE 30th International Conference on Microelectronics (MIEL)", title = "Stochastic time response of adsorption-based micro/nanobiosensors with a fluidic reaction chamber: The influence of mass transfer", pages = "127-130", doi = "10.1109/MIEL.2017.8190084", url = "https://hdl.handle.net/21.15107/rcub_dais_3684" }
Jokić, I., Đurić, Z. G., Radulović, K.,& Frantlović, M.. (2017). Stochastic time response of adsorption-based micro/nanobiosensors with a fluidic reaction chamber: The influence of mass transfer. in 2017 IEEE 30th International Conference on Microelectronics (MIEL) IEEE., 127-130. https://doi.org/10.1109/MIEL.2017.8190084 https://hdl.handle.net/21.15107/rcub_dais_3684
Jokić I, Đurić ZG, Radulović K, Frantlović M. Stochastic time response of adsorption-based micro/nanobiosensors with a fluidic reaction chamber: The influence of mass transfer. in 2017 IEEE 30th International Conference on Microelectronics (MIEL). 2017;:127-130. doi:10.1109/MIEL.2017.8190084 https://hdl.handle.net/21.15107/rcub_dais_3684 .
Jokić, Ivana, Đurić, Zoran G., Radulović, Katarina, Frantlović, Miloš, "Stochastic time response of adsorption-based micro/nanobiosensors with a fluidic reaction chamber: The influence of mass transfer" in 2017 IEEE 30th International Conference on Microelectronics (MIEL) (2017):127-130, https://doi.org/10.1109/MIEL.2017.8190084 ., https://hdl.handle.net/21.15107/rcub_dais_3684 .