2019
DOI: 10.1039/c8na00109j
|View full text |Cite
|
Sign up to set email alerts
|

Assessment of three electrolyte–molecule electrostatic interaction models for 2D material based BioFETs

Abstract: A comprehensive simulation of 2D materials based BioFETs that simultaneously assesses different approaches employed to model the electrolyte-molecule interaction.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
7
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
4
1

Relationship

4
1

Authors

Journals

citations
Cited by 6 publications
(9 citation statements)
references
References 35 publications
0
7
0
Order By: Relevance
“…WO-dimensional (2D) semiconductors combine excellent electrostatics and electronic transport properties with high surface-to-volume ratio, ultimate scaling limits, flexibility and the feasibility to large-scale processing and manufacturing, constituting great candidates for low-cost wearable and implantable biosensors [1], [2]. In this regard, field-effect transistors (FETs) based on transition metal dichalcogenides (TMDs) are receiving considerable attention due to their ability to perform label-free electrical detection of biological species such as proteins, DNA, and several bio-molecules [3]- [7]. Their use as ion-sensitive FETs (ISFETs) has also been widely demonstrated showing excellent detection capabilities and, in the particular case of pH, high stability and near-ideal pH voltage sensitivity, close to the Nernst limit (around 59 mV/ pH at room temperature) [4], [5], [8]- [10].…”
Section: Introductionmentioning
confidence: 99%
“…WO-dimensional (2D) semiconductors combine excellent electrostatics and electronic transport properties with high surface-to-volume ratio, ultimate scaling limits, flexibility and the feasibility to large-scale processing and manufacturing, constituting great candidates for low-cost wearable and implantable biosensors [1], [2]. In this regard, field-effect transistors (FETs) based on transition metal dichalcogenides (TMDs) are receiving considerable attention due to their ability to perform label-free electrical detection of biological species such as proteins, DNA, and several bio-molecules [3]- [7]. Their use as ion-sensitive FETs (ISFETs) has also been widely demonstrated showing excellent detection capabilities and, in the particular case of pH, high stability and near-ideal pH voltage sensitivity, close to the Nernst limit (around 59 mV/ pH at room temperature) [4], [5], [8]- [10].…”
Section: Introductionmentioning
confidence: 99%
“…The implemented numerical tool self-consistently solves the Poisson and continuity equations in the sensor and its environment. The electrolyte corresponds to a Phosphate Buffer Saline (PBS) solution, whose regulatory chain of reactions-dependent on ionic strength and temperature-are described in [26], while the ion concentration is determined by the modified Boltzmann equation, including steric effects due to the finite size of the ions. This numerical tool has been previously validated with experimental results at the levels of the semiconductor device [27,28], the sensing interface [29], and the complete BioFET device [26].…”
Section: Methodsmentioning
confidence: 99%
“…This essential step, mandatory to increase the technology readiness level and prepare the leap from research to manufacture, demands an early performance evaluation with computational tools capable to reproduce heterogeneous device architectures, scenarios and operations. To that end, we present an improved numerical tool for 2DM-based BioFETs [26] that enables a comprehensive evaluation of the sensor variability through the impact in the device response of an arbitrary receptor distribution along a sensing interface. The capabilities of the proposed approach will be exemplified with the study of MoS 2 -based BioFETs aiming for the detection of DNA molecules.…”
Section: Introductionmentioning
confidence: 99%
“…The semiconductor device and electrolyte models are combined for the numerical simulation of the whole device [12]. We solve the 2D Poisson equation using the corresponding model to obtain the charge in each region.…”
Section: Self-consistent Simulation Of 2d-isfetsmentioning
confidence: 99%