Magnetoresistive biosensors with on-chip pulsed excitation and magnetic correlated double sampling.
Magnetoresistive biosensors with on-chip pulsed excitation and magnetic correlated double sampling.
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DOI：
10.1038/s41598-018-34720-0
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发表时间：
2018-11-07
影响因子：
4.6
通讯作者：
Wang SX
中科院分区：
文献类型：
--
作者：
Kim K;Hall DA;Yao C;Lee JR;Ooi CC;Bechstein DJB;Guo Y;Wang SX
巨磁阻（GMR）传感器已被证明是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检测的理想选择，但由于使用传统读出方法的数据采集时间长，可扩展性仍然具有挑战性。在本文中，我们提出了一个可扩展的磁阻生物传感器阵列，具有片上磁场发生器和高速数据采集方法。片上场发生器可实现磁相关双采样（MCDS）和全局斩波稳定，以抑制1/f噪声和偏移。使用该系统进行测量仅需20毫秒，比传统的频域分析快约50倍。本文还提出了一种相应的时域温度校正技术，该技术能够在不需要额外测量或参考传感器的情况下消除测量信号的温度依赖性。测量表明，磁性纳米颗粒（MNPs）的检测信号水平低至6.92 ppm。小尺寸使该平台易于携带，具有高灵敏度和快速读数，这是下一代诊断系统的理想功能，特别是在护理点（POC）设置中。
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.
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影响因子：
12.6
作者：
Hall DA;Gaster RS;Lin T;Osterfeld SJ;Han S;Murmann B;Wang SX
通讯作者：
Wang SX
影响因子：
12.6
作者：
de Boer, B. M.;Kahlman, J. A. H. M.;Veen, J.
通讯作者：
Veen, J.
DOI：
10.1109/tbcas.2017.2743685
发表时间：
2017-10-01
影响因子：
5.1
作者：
Costa, Tiago;Cardoso, Filipe A.;Piedade, Moises S.
通讯作者：
Piedade, Moises S.
影响因子：
20.6
作者：
Enz, CC;Temes, GC
通讯作者：
Temes, GC
影响因子：
3.2
作者：
HARARI, E
通讯作者：
HARARI, E