Power and delay analysis of dielectric modulated dual cavity Junctionless double gate field effect transistor based label-free biosensor

Jana, Gargi; Sen, Dipanjan; Debnath, Papiya; Chanda, Manash

doi:10.1016/j.compeleceng.2022.107828

Cited by 14 publications

(5 citation statements)

References 19 publications

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“…The increasing K bio of biomolecules decreases both the on-current and off-current [89], but the relative change increases due to increased gate-to-channel coupling. Hence, S ION [90] and S IOFF increase with the increasing K bio . Figure 7(b) shows the I ON /I OFF ratio, while the inset shows the fractional sensitivity in I ON /I OFF ratio (S FCR ) [91].…”

Section: Resultsmentioning

confidence: 87%

“…Subthreshold swing varies inversely with the gate oxide capacitance, and as a result, subthreshold swing decreases. However, the relative change (with respect to the 'unfilled cavity case') increases with the increasing K bio [90], which is visible in figure 8(b). Threshold voltage has shown a more significant variation than the subthreshold swing for the same biomolecules and hence is a better sensing metric.…”

Section: Resultsmentioning

confidence: 88%

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Physics based numerical model of a nanoscale dielectric modulated step graded germanium source biotube FET sensor: modelling and simulation

Das,

Rewari,

Kanaujia

et al. 2023

Phys. Scr.

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This paper proposes a novel dielectric modulated step-graded germanium source biotube FET for label-free biosensing applications. Its integrated structure and unique design combine the benefits of the gate stack, germanium source, triple-gate architecture, and a step-graded biotube channel, resulting in superior performance over existing biosensors. A compact two-dimensional analytical model for channel potential, drain current, threshold voltage, and subthreshold swing has been formulated and agrees well with the simulated results. The comprehensive investigation of different device parameters, including doping and bias, offers valuable insights into optimizing the biosensor’s performance. The proposed biosensor exhibits remarkable sensitivity, achieving up to 263 mV and 1495.52 nA for certain biomolecules, which has been validated by a compact analytical model and simulations performed on the SILVACO TCAD simulator. Several parameters are employed to assess the biosensor’s effectiveness: threshold voltage, ION/IOFF ratio, subthreshold swing, off-current, peak trans-conductance, and on-current. Furthermore, the biotube channel design enables lightweight and cost-efficient biosensors, enhancing the biosensor’s practicality. This work also includes an analysis of the effect of temperature on the biosensor’s performance and characteristics, providing insights into practical applications. High sensitivity of the biosensor signifies a significant advancement in biosensing technology, suggesting a wide range of potential applications in biomedical field.

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Section: Resultsmentioning

confidence: 87%

Section: Resultsmentioning

confidence: 88%

Physics based numerical model of a nanoscale dielectric modulated step graded germanium source biotube FET sensor: modelling and simulation

Das,

Rewari,

Kanaujia

et al. 2023

Phys. Scr.

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show abstract

“…For the proposed structure, the gate capacitance primarily determines the effective capacitance. 38 In this section, the cavity is considered fully filled, so the thickness of the cavity must be equal to the thickness of the biomolecule. In the simulation process, we took into account the presence of charged biomolecules by introducing the concept of interface trap charges at Si-SiO 2 interfaces.…”

Section: Resultsmentioning

confidence: 99%

“…The alteration in the N f leads to adjustments in the flatband voltage (V fb ), consequently causing shifts in the threshold voltage (V Th n , ). 38 The threshold voltage is denoted as V Th n…”

Section: Resultsmentioning

confidence: 99%

Tweaking the Performance of Dielectric Modulated Junctionless Double Gate Metal Oxide Field Effect Transistor-Based Label-Free Biosensor

Kumar,

Chauhan

2024

J. Electrochem. Soc.

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IWe have explored the characteristics of a dielectric-modulated, junctionless (JL) double gate (DG) metal oxide field-effect transistor (MOSFET) featuring a misaligned cavity. Our investigation primarily revolves around proposing optimized device dimensions by examining the influence of varying the height and length of the cavity on the device's sensitivity. We have delved into the variation of sensitivity parameters, including threshold voltage, ON current, ON-OFF current ratio, and transconductance. Furthermore, our research delves into the effects of both charged and neutral biomolecules on the DC characteristics of the proposed biosensor. We have scrutinized the placement and fill-factor variations of biomolecules within the cavity region, elucidating their impact on sensitivity. Notably, we observed that a 100% filled cavity yields the highest sensitivity. Additionally, this work encompasses a comprehensive exploration of the practical biosensing mechanism tailored for detecting Streptavidin. Based on the ON-OFF current ratio, a maximum selectivity factor of 2.38 (biotarget over bioreceptor) has been observed. Our extensive simulations, conducted using SILVACO ATLAS, rigorously investigate the effects we describe. Altogether, this study highlights the potential of misaligned-cavity JL-DG-MOSFET-based label-free biosensors as cost-effective and simplified analytical tools for biomolecule detection.

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“…The findings exhibited the need for a high k dielectric layer with larger conduction band offset (CBO) or a high band gap semiconductor layer for reducing leakage and minimizing power consumption. Jana et al formulated the current sensitivity, delay and power consumption in a dual cavity junction less double gate MOSFET-based biosensor and also investigated the impact of charged biomolecules on the aforesaid parameters [ 106 ].…”

Section: Challenges In Current Leakage Power Dissipation and Proposed...mentioning

confidence: 99%

Advancement and Challenges of Biosensing Using Field Effect Transistors

Thriveni

Ghosh

2022

Biosensors

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Field-effect transistors (FETs) have become eminent electronic devices for biosensing applications owing to their high sensitivity, faster response and availability of advanced fabrication techniques for their production. The device physics of this sensor is now well understood due to the emergence of several numerical modelling and simulation papers over the years. The pace of advancement along with the knowhow of theoretical concepts proved to be highly effective in detecting deadly pathogens, especially the SARS-CoV-2 spike protein of the coronavirus with the onset of the (coronavirus disease of 2019) COVID-19 pandemic. However, the advancement in the sensing system is also accompanied by various hurdles that degrade the performance. In this review, we have explored all these challenges and how these are tackled with innovative approaches, techniques and device modifications that have also raised the detection sensitivity and specificity. The functional materials of the device are also structurally modified towards improving the surface area and minimizing power dissipation for developing miniaturized microarrays applicable in ultra large scale integration (ULSI) technology. Several theoretical models and simulations have also been carried out in this domain which have given a deeper insight on the electron transport mechanism in these devices and provided the direction for optimizing performance.

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Power and delay analysis of dielectric modulated dual cavity Junctionless double gate field effect transistor based label-free biosensor

Cited by 14 publications

References 19 publications

Physics based numerical model of a nanoscale dielectric modulated step graded germanium source biotube FET sensor: modelling and simulation

Physics based numerical model of a nanoscale dielectric modulated step graded germanium source biotube FET sensor: modelling and simulation

Tweaking the Performance of Dielectric Modulated Junctionless Double Gate Metal Oxide Field Effect Transistor-Based Label-Free Biosensor

Advancement and Challenges of Biosensing Using Field Effect Transistors

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