Noise Spectroscopy of Liquid–Solid Interface Processes in Adjusted Physiological Solutions Using GAA Si Nanowire FET Biosensors

IF 3.5
Yongqiang Zhang, Nazarii Boichuk, Denys Pustovyi, Hanlin Long, Valeriia Chekubasheva, Mykhailo Petrychuk, Svetlana Vitusevich
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Abstract

Liquid gate-all-around (LGAA) field-effect transistor (FET) biosensors represent advanced material device structures responding electrically to surface potential change and allowing ultra-high sensitivity to biochemical liquids and human bodily fluids. However, the origin and physical working mechanisms for such a type of signals in different complex biochemical solutions remain still many opened questions. Here, noise spectroscopy and impedance methods are applied to study liquid–solid interface properties in LGAA FETs working in adjusted physiological solutions of different pH values. High-quality liquid LGAA Si nanowire (NW) FET biosensors demonstrate the high electronic performance of I–V characteristics in good agreement with modeling data. Impedance spectroscopy measurements allow for analyzing the double-layer capacitances and ion behavior under different pH conditions. Moreover, the noise spectra of the current fluctuations in the biosensors for several solutions are analyzed at different applied liquid-gate and drain-source voltages. The results demonstrate accurate detection of the dynamic ion processes on the nanowire surface. Charge inversion effect is revealed in single-valent ion solutions. Tiny signal characterization results obtained using the LGAA NW FET biosensors provide broader insights into the optimization of sensor parameters for biomedical molecular detection.

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利用GAA Si纳米线FET生物传感器研究生理溶液中液固界面过程的噪声谱
液体栅极全能(LGAA)场效应晶体管(FET)生物传感器代表了先进的材料器件结构,可以对表面电位变化做出电响应,并对生化液体和人体体液具有超高灵敏度。然而,这类信号在不同复杂生化解决方案中的来源和物理作用机制仍有许多未解之谜。本文采用噪声光谱和阻抗方法研究了LGAA场效应管在不同pH值调节生理溶液中的液固界面特性。高品质液态LGAA硅纳米线(NW)场效应晶体管生物传感器显示了高电子性能的I-V特性,与建模数据吻合良好。阻抗谱测量允许在不同pH条件下分析双层电容和离子行为。此外,还分析了几种溶液在不同的栅极电压和漏源电压下生物传感器电流波动的噪声谱。结果表明,该方法可以准确地检测纳米线表面的动态离子过程。在单价离子溶液中发现电荷反转效应。使用LGAA NW FET生物传感器获得的微小信号表征结果为生物医学分子检测传感器参数的优化提供了更广泛的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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