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A linear slope analyzing strategy of GMR sensor transfer curve for the detection of superparamagnetic nanoparticles

机译:用于检测超顺磁性纳米粒子的GMR传感器传递曲线的线性斜率分析策略

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Superparamagnetic nanoparticles are popular magnetic label materials for the magnetic biodetection technologies. The accurate detection of superparamagnetic nanoparticles is one of the key aspects for high performance magnetic biodetection platform. An improved detection protocol of superparamagnetic nanoparticles using giant magnetoresistance (GMR) sensors were studied in this paper. In this study, the as-synthesized iron oxide nanoparticles (IONPs) with superparamagnetic behavior were detected by GMR sensors (GF708, Sensitec GmbH). The sensor transfer curves were measured before and after depositing IONPs onto sensor surfaces. The linear range of the transfer curves were analyzed, and the change of the slope indicated the quantity of IONPs on sensor surfaces.
机译:超顺磁性纳米粒子是磁性生物遗养技术的流行磁性标签材料。精确地检测超顺磁性纳米粒子是高性能磁性生物生物竞技平台的关键方面之一。本文研究了使用巨型磁阻(GMR)传感器的超顺磁纳米颗粒的改进检测方案。在该研究中,通过GMR传感器(GF708,Sensitec GmbH)检测具有超顺磁性行为的AS合成的氧化铁纳米颗粒(IONP)。在将IONP沉积到传感器表面之前和之后测量传感器传递曲线。分析了传递曲线的线性范围,斜率的变化指示传感器表面上的IONP的量。

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