Noiseless nanosensor for non-invasive recording of biopotentials

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
D.K. Avdeeva , N.V. Turushev , M.M. Yuzhakov , M.L. Ivanov , A.I. Kornienko , S.I. Enshin , I.V. Maksimov , A.G. Syrkina
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引用次数: 0

Abstract

We have studied the intrinsic noise of nanosensors. Four technologies for incorporation of silver nanoparticles into porous aluminum–silicon oxide ceramic plates were tested. Before incorporation, the pore volume was 11 %, the pore size was 1 – 5 µm, and the surface area of the pores was 0.182 m2. Group (1) included nanoparticles of 167 – 952 nm in size, nanosilver mass was 1.5 – 35.0 %; Group (2) included nanoparticles of 70 – 400 nm in size, nanosilver mass was 0.4 – 68 %; Group (3) included nanoparticles of 49 – 324 nm in size, nanosilver mass was 0.6 – 72.0 %; Group (4) included nanoparticles of 57 – 142 nm in size, nanosilver mass was 12.92 – 31.29 %. After silver nanoparticle incorporation, the pore volume attained 9 %, 8 %, 7 %, and 10 %, respectively. The self-noise energy of nanosensors made of Group (4) plates was virtually zero. Noiseless nanosensors enabled recording of cardiac micropotentials from a level of 50 nV.
用于无创记录生物电位的无噪音纳米传感器
我们研究了纳米传感器的固有噪声。我们测试了在多孔氧化铝-氧化硅陶瓷板中加入银纳米粒子的四种技术。加入前,孔隙体积为 11%,孔隙大小为 1 - 5 µm,孔隙表面积为 0.182 m2。第(1)组包括粒径为 167 - 952 nm 的纳米颗粒,纳米银的质量为 1.5 - 35.0 %;第(2)组包括粒径为 70 - 400 nm 的纳米颗粒,纳米银的质量为 0.4 - 68 %;第(3)组包括粒径为 49 - 324 nm 的纳米颗粒,纳米银的质量为 0.6 - 72.0 %;第(4)组包括粒径为 57 - 142 nm 的纳米颗粒,纳米银的质量为 12.92 - 31.29 %。加入纳米银后,孔隙率分别达到 9%、8%、7% 和 10%。第(4)组板制成的纳米传感器的自噪声能量几乎为零。无噪音纳米传感器可记录 50 nV 的心脏微电位。
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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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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