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GMR 生物传感器阵列:用于提高重现性和灵敏度的校正技术。

GMR biosensor arrays: correction techniques for reproducibility and enhanced sensitivity.

机构信息

Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.

出版信息

Biosens Bioelectron. 2010 May 15;25(9):2177-81. doi: 10.1016/j.bios.2010.01.039. Epub 2010 Feb 6.

Abstract

Giant magnetoresistive biosensors possess great potential in biomedical applications for quantitatively detecting magnetically tagged biomolecules. Magnetic sensing does not suffer from the high background levels found in optical sensing modalities such as the enzyme linked immunosorbent assay translating into a technology with higher sensitivity. However, to reveal the full potential of these sensors and compensate for non-idealities such as temperature dependence, digital correction and calibration techniques are not only useful but imperative. Using these calibration techniques to correct for process variations and dynamic changes in the sensing environment (such as temperature and magnetic field), we are able to obtain extremely sensitive and, more importantly, reproducible results for quantifiable biomolecular reorganization. The reproducibility of the system was improved by over 3 x using digital correction techniques and the sensors are made temperature independent by using a novel background correction technique.

摘要

巨磁电阻生物传感器在定量检测磁性标记生物分子的生物医学应用中具有巨大潜力。与酶联免疫吸附测定等光学传感模式相比,磁传感不受高背景水平的影响,因此具有更高的灵敏度。然而,为了充分发挥这些传感器的潜力,并补偿诸如温度依赖性等非理想因素,数字校正和校准技术不仅是有用的,而且是必要的。通过使用这些校准技术来校正传感环境(如温度和磁场)中的工艺变化和动态变化,我们能够获得极其灵敏的、更重要的是可重复的结果,以实现可量化的生物分子重组。通过使用数字校正技术,系统的可重复性提高了 3 倍以上,并且通过使用新颖的背景校正技术,传感器实现了温度无关性。

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