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带有片上脉冲激励和磁相关双采样的磁阻生物传感器。

Magnetoresistive biosensors with on-chip pulsed excitation and magnetic correlated double sampling.

机构信息

Department of Electrical Engineering, Stanford University, Stanford, CA, United States.

Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, United States.

出版信息

Sci Rep. 2018 Nov 7;8(1):16493. doi: 10.1038/s41598-018-34720-0.

Abstract

Giant magnetoresistive (GMR) sensors have been shown to be among the most sensitive biosensors reported. While high-density and scalable sensor arrays are desirable for achieving multiplex detection, scalability remains challenging because of long data acquisition time using conventional readout methods. In this paper, we present a scalable magnetoresistive biosensor array with an on-chip magnetic field generator and a high-speed data acquisition method. The on-chip field generators enable magnetic correlated double sampling (MCDS) and global chopper stabilization to suppress 1/f noise and offset. A measurement with the proposed system takes only 20 ms, approximately 50× faster than conventional frequency domain analysis. A corresponding time domain temperature correction technique is also presented and shown to be able to remove temperature dependence from the measured signal without extra measurements or reference sensors. Measurements demonstrate detection of magnetic nanoparticles (MNPs) at a signal level as low as 6.92 ppm. The small form factor enables the proposed platform to be portable as well as having high sensitivity and rapid readout, desirable features for next generation diagnostic systems, especially in point-of-care (POC) settings.

摘要

巨磁电阻(GMR)传感器已被证明是报告中最灵敏的生物传感器之一。虽然高密度和可扩展的传感器阵列是实现多路复用检测所期望的,但由于使用传统读出方法需要较长的数据采集时间,因此可扩展性仍然具有挑战性。在本文中,我们提出了一种具有片上磁场发生器和高速数据采集方法的可扩展磁阻生物传感器阵列。片上磁场发生器能够实现磁相关双采样(MCDS)和全局斩波器稳定,以抑制 1/f 噪声和失调。使用所提出的系统进行测量仅需 20ms,大约比传统的频域分析快 50 倍。还提出了相应的时域温度校正技术,并表明该技术能够在不进行额外测量或使用参考传感器的情况下从测量信号中去除温度依赖性。测量结果表明,能够以低至 6.92ppm 的信号水平检测磁性纳米颗粒(MNPs)。该小外形尺寸使所提出的平台具有便携性以及高灵敏度和快速读取功能,这是下一代诊断系统的理想特性,特别是在即时护理(POC)环境中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e525/6220270/a53b33609a94/41598_2018_34720_Fig1_HTML.jpg

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