Details
| Original language | English |
|---|---|
| Article number | 111527 |
| Journal | Biosensors and Bioelectronics |
| Volume | 142 |
| Early online date | 21 Jul 2019 |
| Publication status | Published - 1 Oct 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.
Keywords
- APTES, Bayesian inversion, PSA, Selective functionalization, Silicon nanowire sensors
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Biotechnology
- Biochemistry, Genetics and Molecular Biology(all)
- Biophysics
- Engineering(all)
- Biomedical Engineering
- Chemistry(all)
- Electrochemistry
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In: Biosensors and Bioelectronics, Vol. 142, 111527, 01.10.2019.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - A new method for selective functionalization of silicon nanowire sensors and Bayesian inversion for its parameters
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.
PY - 2019/10/1
Y1 - 2019/10/1
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.
KW - APTES
KW - Bayesian inversion
KW - PSA
KW - Selective functionalization
KW - Silicon nanowire sensors
UR - http://www.scopus.com/inward/record.url?scp=85069656471&partnerID=8YFLogxK
U2 - 10.1016/j.bios.2019.111527
DO - 10.1016/j.bios.2019.111527
M3 - Article
C2 - 31344601
AN - SCOPUS:85069656471
VL - 142
JO - Biosensors and Bioelectronics
JF - Biosensors and Bioelectronics
SN - 0956-5663
M1 - 111527
ER -