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基于碳纳米管的整体式 CMOS 平台用于电化学检测神经递质谷氨酸。

Carbon-Nanotube-Based Monolithic CMOS Platform for Electrochemical Detection of Neurotransmitter Glutamate.

机构信息

Bio Engineering Laboratory, Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, CH-4058 Basel, Switzerland.

MaxWell Biosystems AG, CH-4058 Basel, Switzerland.

出版信息

Sensors (Basel). 2019 Jul 12;19(14):3080. doi: 10.3390/s19143080.

Abstract

We present a monolithic biosensor platform, based on carbon-nanotube field-effect transistors (CNTFETs), for the detection of the neurotransmitter glutamate. We used an array of 9'216 CNTFET devices with 96 integrated readout and amplification channels that was realized in complementary metal-oxide semiconductor technology (CMOS). The detection principle is based on amperometry, where electrochemically active hydrogen peroxide, a product of the enzymatic reaction of the target analyte and an enzyme that was covalently bonded to the CNTFET, modulated the conductance of the CNTFET-based sensors. We assessed the performance of the CNTs as enzymatic sensors by evaluating the minimal resolvable concentration change of glutamate in aqueous solutions. The minimal resolvable concentration change amounted to 10 µM of glutamate, which was one of the best values reported for CMOS-based systems so far.

摘要

我们提出了一种基于碳纳米管场效应晶体管(CNTFET)的整体式生物传感器平台,用于检测神经递质谷氨酸。我们使用了一种由 9'216 个 CNTFET 器件组成的阵列,每个器件都集成了 96 个读出和放大通道,这些器件是在互补金属氧化物半导体技术(CMOS)中实现的。检测原理基于电流测定法,其中电化学活性的过氧化氢,是目标分析物与共价键合到 CNTFET 的酶的酶促反应的产物,调制了基于 CNTFET 的传感器的电导率。我们通过评估水溶液中谷氨酸的最小可分辨浓度变化来评估 CNT 作为酶传感器的性能。最小可分辨浓度变化达到了 10 µM 的谷氨酸,这是迄今为止基于 CMOS 系统报告的最佳值之一。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39b2/6678769/e4677ffe2974/sensors-19-03080-g001.jpg

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