生物医学应用CMOS低电流测量系统

IF 3.8 2区医学 Q2 ENGINEERING, BIOMEDICAL

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2011-05-15 DOI:10.1109/ISCAS.2011.5937741

Brian Goldstein, Dongsoo Kim, A. Rottigni, Jian Xu, T. Vanderlick, E. Culurciello

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引用次数: 64

摘要

我们提出了一种用于生物医学应用的小电流测量系统的微芯片实现，该系统使用电容反馈，在1 kHz带宽下显示190 fA的RMS噪声。采样率可选择高达100khz。当使用10 G Ω电阻和47 pF电容作为输入测量放大器噪声时(典型的DNA和膜片钳实验中的细胞膜电容)，在10 kHz带宽下，对50 pA信号测量的RMS噪声为2.44 pA。采用0.5 μm 3-metal 2-poly CMOS工艺在630 × 440 μm2上实现了两个通道。每个通道从3.3 V电源中消耗1.5 mW的功率。我们通过纳米孔测量了类似于DNA测序实验中使用的人工脂质双分子层的特性。

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CMOS Low Current Measurement System for Biomedical Applications

We present a micro-chip implementation of a low current measurement system for biomedical applications using capacitive feedback that exhibits 190 fA of RMS noise in a 1 kHz bandwidth. The sampling rate is selectable up to 100 kHz. When measuring the amplifier noise with a 10 G Ω resistor and a 47 pF capacitor at the input, typical of cell membrane capacitance in DNA and patch clamp experiments, the measured RMS noise was 2.44 pA on a 50 pA signal in a 10 kHz bandwidth. Two channels were implemented on 630 × 440 μm2 using a 0.5- μm 3-metal 2-poly CMOS process. Each channel consumes 1.5 mW of power from a 3.3 V supply. We measured the characteristics of an artificial lipid bilayer similar to the ones used in DNA sequencing experiments via nanopores.

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来源期刊

IEEE Transactions on Biomedical Circuits and Systems 工程技术-工程：电子与电气

CiteScore

10.00

自引率

13.70%

发文量

174

审稿时长

3 months

期刊介绍： The IEEE Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems Society to a wide variety of related areas such as: • Bioelectronics • Implantable and wearable electronics like cochlear and retinal prosthesis, motor control, etc. • Biotechnology sensor circuits, integrated systems, and networks • Micropower imaging technology • BioMEMS • Lab-on-chip Bio-nanotechnology • Organic Semiconductors • Biomedical Engineering • Genomics and Proteomics • Neuromorphic Engineering • Smart sensors • Low power micro- and nanoelectronics • Mixed-mode system-on-chip • Wireless technology • Gene circuits and molecular circuits • System biology • Brain science and engineering: such as neuro-informatics, neural prosthesis, cognitive engineering, brain computer interface • Healthcare: information technology for biomedical, epidemiology, and other related life science applications. General, theoretical, and application-oriented papers in the abovementioned technical areas with a Circuits and Systems perspective are encouraged to publish in TBioCAS. Of special interest are biomedical-oriented papers with a Circuits and Systems angle.