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Two-dimensional MoS_2 negative capacitor transistors for enhanced (super-Nernstian) signal-to-noise performance of next-generation nano biosensors

机译:用于增强的二维MOS_2负电容器晶体管,下一代纳米生物传感器的增强(超级内部人)信号对噪声性能

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摘要

The detection of biomolecules by a Field Effect Transistor-based biosensor (BioFET) is dictated by the sensor's intrinsic Signal-to-Noise Ratio (SNR). The detection limit of a traditional BioFET is fundamentally limited by biomolecule diffusion, charge screening, linear charge to surface-potential transduction, and Flicker noise. In this letter, we show that the recently introduced class of transistors called negative capacitor field effect transistors offers nonlinear charge transduction and suppression of Flicker noise to dramatically improve the SNR over classical Boltzmann sensors. We quantify the SNR improvement (approximately two orders of magnitude higher than a classical Si-nanowire biosensor) by interpreting the experimental results associated with the signal and noise characteristics of 2D MoS2-based transistors. The proposed Negative Capacitor BioFET (NC-BioFET) will motivate experimentalists to combine two well-established technologies to achieve high SNR (and to improve the detection limit), fundamentally unachievable by any other sensor technology.
机译:通过基于场效应晶体管的生物传感器(BioFET)检测生物分子由传感器的内在信噪比(SNR)决定。传统生物膜的检测极限基本上受生物分子扩散,充电筛选,线性充电到表面潜在的转导,以及闪烁的噪声。在这封信中,我们表明最近引入了称为负电容器场效应晶体管的晶体管类提供非线性电荷转换和抑制闪烁噪声,以显着改善古典Boltzmann传感器上的SNR。我们通过解释与基于2D MOS2的晶体管的信号和噪声特性相关的实验结果来量化SNR改进(大约比经典Si-纳米线生物传感器高约两个数量级)。所提出的负电容器生物塑料(NC-Biofet)将激励实验室结合两个熟悉的技术来实现高SNR(并改善检测极限),通过任何其他传感器技术根本无法实现。

著录项

  • 来源
    《Applied Physics Letters》 |2019年第23期|233102.1-233102.5|共5页
  • 作者

    Zagni N.; Pavan P.; Alam M. A.;

  • 作者单位

    Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA|Univ Modena & Reggio Emilia Dept Engn Enzo Ferrari I-41125 Modena Italy;

    Univ Modena & Reggio Emilia Dept Engn Enzo Ferrari I-41125 Modena Italy;

    Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 22:17:46

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