A new method for selective functionalization of silicon nanowire sensors and Bayesian inversion for its parameters

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Samaneh Mirsian
  • Amirreza Khodadadian
  • Marjan Hedayati
  • Ali Manzour-ol-Ajdad
  • Reza Kalantarinejad
  • Clemens Heitzinger

Organisationseinheiten

Externe Organisationen

  • Shezan Research and Innovation Center
  • Technische Universität Wien (TUW)
  • Arizona State University
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Details

OriginalspracheEnglisch
Aufsatznummer111527
FachzeitschriftBiosensors and Bioelectronics
Jahrgang142
Frühes Online-Datum21 Juli 2019
PublikationsstatusVeröffentlicht - 1 Okt. 2019

Abstract

In this work, a modification procedure for the functionalization of silicon nanowire (SiNW) is applied in biological field effect transistor (BioFET) system. The proposed method precedes the silanization reaction in a manner that the only SiNW and not its SiO2 substrate is functionalized by (3-Aminopropyl) triethoxysilane (APTES) initiators. This method has an effective role in increasing the sensitivity of BioFET sensors and can be applied in commercial ones. Furthermore, we introduce an efficient computational technique to estimate unknown senor parameters. To that end, Bayesian inversion is used to determine the number of PSA target molecules bound to the receptors in both selective and nonselective SiNWs. The approach is coupled with the Poisson-Boltzmann-drift-diffusion (PBDD) equations to provide a comprehensive system to model all biosensor interactions.

ASJC Scopus Sachgebiete

Zitieren

A new method for selective functionalization of silicon nanowire sensors and Bayesian inversion for its parameters. / Mirsian, Samaneh; Khodadadian, Amirreza; Hedayati, Marjan et al.
in: Biosensors and Bioelectronics, Jahrgang 142, 111527, 01.10.2019.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Mirsian, S, Khodadadian, A, Hedayati, M, Manzour-ol-Ajdad, A, Kalantarinejad, R & Heitzinger, C 2019, 'A new method for selective functionalization of silicon nanowire sensors and Bayesian inversion for its parameters', Biosensors and Bioelectronics, Jg. 142, 111527. https://doi.org/10.1016/j.bios.2019.111527
Mirsian, S., Khodadadian, A., Hedayati, M., Manzour-ol-Ajdad, A., Kalantarinejad, R., & Heitzinger, C. (2019). A new method for selective functionalization of silicon nanowire sensors and Bayesian inversion for its parameters. Biosensors and Bioelectronics, 142, Artikel 111527. https://doi.org/10.1016/j.bios.2019.111527
Mirsian S, Khodadadian A, Hedayati M, Manzour-ol-Ajdad A, Kalantarinejad R, Heitzinger C. A new method for selective functionalization of silicon nanowire sensors and Bayesian inversion for its parameters. Biosensors and Bioelectronics. 2019 Okt 1;142:111527. Epub 2019 Jul 21. doi: 10.1016/j.bios.2019.111527
Mirsian, Samaneh ; Khodadadian, Amirreza ; Hedayati, Marjan et al. / A new method for selective functionalization of silicon nanowire sensors and Bayesian inversion for its parameters. in: Biosensors and Bioelectronics. 2019 ; Jahrgang 142.
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title = "A new method for selective functionalization of silicon nanowire sensors and Bayesian inversion for its parameters",
abstract = "In this work, a modification procedure for the functionalization of silicon nanowire (SiNW) is applied in biological field effect transistor (BioFET) system. The proposed method precedes the silanization reaction in a manner that the only SiNW and not its SiO2 substrate is functionalized by (3-Aminopropyl) triethoxysilane (APTES) initiators. This method has an effective role in increasing the sensitivity of BioFET sensors and can be applied in commercial ones. Furthermore, we introduce an efficient computational technique to estimate unknown senor parameters. To that end, Bayesian inversion is used to determine the number of PSA target molecules bound to the receptors in both selective and nonselective SiNWs. The approach is coupled with the Poisson-Boltzmann-drift-diffusion (PBDD) equations to provide a comprehensive system to model all biosensor interactions.",
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note = "Funding Information: Amirreza Khodadadian and Clemens Heitzinger thank financial support by Austrian Science Fund (FWF) START project no. Y660 PDE Models for Nanotechnology. The authors also acknowledge the helpful comments by the anonymous reviewers. ",
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AU - Mirsian, Samaneh

AU - Khodadadian, Amirreza

AU - Hedayati, Marjan

AU - Manzour-ol-Ajdad, Ali

AU - Kalantarinejad, Reza

AU - Heitzinger, Clemens

N1 - Funding Information: Amirreza Khodadadian and Clemens Heitzinger thank financial support by Austrian Science Fund (FWF) START project no. Y660 PDE Models for Nanotechnology. The authors also acknowledge the helpful comments by the anonymous reviewers.

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N2 - In this work, a modification procedure for the functionalization of silicon nanowire (SiNW) is applied in biological field effect transistor (BioFET) system. The proposed method precedes the silanization reaction in a manner that the only SiNW and not its SiO2 substrate is functionalized by (3-Aminopropyl) triethoxysilane (APTES) initiators. This method has an effective role in increasing the sensitivity of BioFET sensors and can be applied in commercial ones. Furthermore, we introduce an efficient computational technique to estimate unknown senor parameters. To that end, Bayesian inversion is used to determine the number of PSA target molecules bound to the receptors in both selective and nonselective SiNWs. The approach is coupled with the Poisson-Boltzmann-drift-diffusion (PBDD) equations to provide a comprehensive system to model all biosensor interactions.

AB - In this work, a modification procedure for the functionalization of silicon nanowire (SiNW) is applied in biological field effect transistor (BioFET) system. The proposed method precedes the silanization reaction in a manner that the only SiNW and not its SiO2 substrate is functionalized by (3-Aminopropyl) triethoxysilane (APTES) initiators. This method has an effective role in increasing the sensitivity of BioFET sensors and can be applied in commercial ones. Furthermore, we introduce an efficient computational technique to estimate unknown senor parameters. To that end, Bayesian inversion is used to determine the number of PSA target molecules bound to the receptors in both selective and nonselective SiNWs. The approach is coupled with the Poisson-Boltzmann-drift-diffusion (PBDD) equations to provide a comprehensive system to model all biosensor interactions.

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