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

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

doi:10.1016/j.bios.2019.111527

Cited by 51 publications

(39 citation statements)

References 22 publications

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“… Application Target RE Linker Surface Sensor Readout LOD Sample Ref. Disease antigen detection CEACAM5 CEACAM1 Antibody GTA SiO 2 /SiNW Potentiometric Off-chip 18 ng/mL and 21.6 ng/mL Buffer solution [ 92 ] Prostate cancer diagnosis PSA PSA antibodies APTES GA AuNPs SiO 2 /SiNW Potentiometric Off-chip 90 pg/mL Serum [ 93 ] Oncological diseases diagnosis oDNA Complementary oDNA probe molecule APTES DTSSP cross-linker a stack of h-k PEALD dielectrics, HfO 2 and Al 2 O 3 Amperometric Off-chip 10 -16 M Buffer solution (potassium phosphate buffer) [ 94 ] CEA detection CEA Antibody APTES GA SiNx/SiNRs CMOS-compatible FET Off-chip 10 pg/mL Buffer solution (PBS) [ 95 ] Lung cancer diagnosis miRNA−126 and CEA probe DNA and anti-CEA antibody APTES GA SiNW CMOS-compatible FET Off-chip 0.1 fM and 1 fg/ml Buffer solution (PBS) [ 96 ] PSA detection PSA DNA aptamers PYCOOH EDC/NHS PEG ETA SiO 2 /graphene FET channel/Si 3 N 4 FET Off-chip 1 nM Buf...…”

Section: Selective Adhesion On Fet For Biosensing Applicationsmentioning

confidence: 99%

Biosensing based on field-effect transistors (FET): Recent progress and challenges

Sadighbayan

Hasanzadeh

Ghafar-Zadeh

2020

TrAC Trends in Analytical Chemistry

184

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The use of field-Effect-Transistor (FET) type biosensing arrangements has been highlighted by researchers in the field of early biomarker detection and drug screening. Their non-metalized gate dielectrics that are exposed to an electrolyte solution cover the semiconductor material and actively transduce the biological changes on the surface. The efficiency of these novel devices in detecting different biomolecular analytes in a real-time, highly precise, specific, and label-free manner has been validated by numerous research studies. Considerable progress has been attained in designing FET devices, especially for biomedical diagnosis and cell-based assays in the past few decades. The exceptional electronic properties, compactness, and scalability of these novel tools are very desirable for designing rapid, label-free, and mass detection of biomolecules. With the incorporation of nanotechnology, the performance of biosensors based on FET boosts significantly, particularly, employment of nanomaterials such as graphene, metal nanoparticles, single and multi-walled carbon nanotubes, nanorods, and nanowires. Besides, their commercial availability, and high-quality production on a large-scale, turn them to be one of the most preferred sensing and screening platforms. This review presents the basic structural setup and working principle of different types of FET devices. We also focused on the latest progression regarding the use of FET biosensors for the recognition of viruses such as, recently emerged COVID-19, Influenza, Hepatitis B Virus, protein biomarkers, nucleic acids, bacteria, cells, and various ions. Additionally, an outline of the development of FET sensors for investigations related to drug development and the cellular investigation is also presented. Some technical strategies for enhancing the sensitivity and selectivity of detection in these devices are addressed as well. However, there are still certain challenges which are remained unaddressed concerning the performance and clinical use of transistor-based point-of-care (POC) instruments; accordingly, expectations about their future improvement for biosensing and cellular studies are argued at the end of this review.

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Section: Selective Adhesion On Fet For Biosensing Applicationsmentioning

confidence: 99%

Biosensing based on field-effect transistors (FET): Recent progress and challenges

Sadighbayan

Hasanzadeh

Ghafar-Zadeh

2020

TrAC Trends in Analytical Chemistry

184

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“…The types of BioFET's probes, which directly bind to the target molecules, are key indicators to provide adequate sensitivity and signal response time. Various types of probes, such as antibody [31,32], enzyme [33,34], aptamer [19,35], and others [36,37], can be used in practice. However, determining the probe requires an understanding of the concept of Debye length, which is related to the charge screening effect in samples.…”

Section: Various Types Of Biofet Probes For Sensitivity and Adequate mentioning

confidence: 99%

A review of BioFET’s basic principles and materials for biomedical applications

Sung

Koo

2021

Biomed. Eng. Lett.

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Interest in biomolecular sensors for diagnosis of early diseases and prognosis of the diseases is increasing day by day. Among them, FET-based sensors are very useful in that of their versatile operating characteristics using various materials. Herein, after addressing the basic principles of BioFET, we conduct an overall review of BioFET on two of the main structural elements: transducing materials and probes. Transducing materials were classified into graphene, carbon nanotube, silicon, MOF, etc., and probes were classified into antibodies, enzymes, aptamers, etc.. The important elements in designing BioFETs, such as electrical properties of each material, Debye length, and fabrication process are introduced along with their respective structures and materials. After the review of each of these structures and characteristics, examples are discussed along with sensitivity, selectivity, and limit of detection. In addition to the operating aspects of the senser, novel processes, treatments, and materials that can be considered for various purposes are also introduced. Based on the understanding, an overview of diverse examples is given by dividing the applications of BioFET into three main types: antigen sensing, biomarker sensing, and drug effect monitoring. Focusing on these general reviews, we conclude how the future direction of development will move forward and what the main challenge is.

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“…In practice, a reliable estimation of influential parameters is not possible or needs significant efforts. In [ 17 , 18 ], the authors used the Metropolis-Hastings algorithm to estimate the unknown parameters in field-effect sensors. It enables authors to estimate probe-target density of the target molecules which can not be experimentally estimated.…”

Section: Introductionmentioning

confidence: 99%

A Bayesian estimation method for variational phase-field fracture problems

et al. 2020

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In this work, we propose a parameter estimation framework for fracture propagation problems. The fracture problem is described by a phase-field method. Parameter estimation is realized with a Bayesian approach. Here, the focus is on uncertainties arising in the solid material parameters and the critical energy release rate. A reference value (obtained on a sufficiently refined mesh) as the replacement of measurement data will be chosen, and their posterior distribution is obtained. Due to time- and mesh dependencies of the problem, the computational costs can be high. Using Bayesian inversion, we solve the problem on a relatively coarse mesh and fit the parameters. In several numerical examples our proposed framework is substantiated and the obtained load-displacement curves, that are usually the target functions, are matched with the reference values.

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

Cited by 51 publications

References 22 publications

Biosensing based on field-effect transistors (FET): Recent progress and challenges

Biosensing based on field-effect transistors (FET): Recent progress and challenges

A review of BioFET’s basic principles and materials for biomedical applications

A Bayesian estimation method for variational phase-field fracture problems

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