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

机译:用于超顺磁性纳米粒子检测的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用于磁性生物检测技术的流行磁性标签材料。超顺磁性纳米粒子的准确检测是高性能磁性生物检测平台的关键方面之一。本文研究了一种使用巨磁阻(GMR)传感器的改进的超顺磁性纳米粒子检测方案。在这项研究中,通过GMR传感器(GF708,Sensitec GmbH)检测到了具有超顺磁行为的刚合成的氧化铁纳米颗粒(IONPs)。在将IONP沉积到传感器表面之前和之后测量传感器转移曲线。分析了传递曲线的线性范围,斜率的变化表明了传感器表面的IONP数量。

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