功能化氧化铁纳米颗粒与牛血清白蛋白的生物磁相互作用

Mayank Gupta, S. Chandra
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引用次数: 0

摘要

功能化氧化铁(磁性)纳米颗粒可以通过磁相互作用进行操作和检测,是靶分子检测和传感的有前途的候选材料。功能化涂层的生物识别部分导致目标分析物的结合,从而导致纳米颗粒在外部磁场影响下相互作用的变化。这构成了制造生物磁传感器的基础。目前的研究报告使用三种不同的大分子乙二醇壳聚糖(GC),聚乙二醇甲基醚(PEGME)和聚立体硫酸钠(PSSNa)来功能化和覆盖磁性纳米颗粒。采用红外光谱(FTIR)、x射线衍射(XRD)、透射电镜(TEM)和热重分析仪(TGA)对磁性纳米颗粒进行了表征,并对其结构和表面性能进行了表征。透射电镜显示,GC、PEGME和PSSNa-MNPs的平均粒径分别为~11、12和13 nm。TGA评估了改性MNPs的失重情况,并确认了MNPs表面的涂层。将牛血清白蛋白(BSA)固定在功能化MNPs上,并在物理性质测量系统上进行交流敏感性研究。利用布朗弛豫,在300 K时通过测量磁化率的虚部来检测BSA固定MNPs,该方法基于MNPs的动态磁性变化。
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Biomagnetic interaction of functionalized iron oxide nanoparticles with bovine serum albumin
Functionalized iron oxide (magnetic) nanoparticles are promising candidate for detection and sensing of target molecule as they can be manipulated and detected through magnetic interactions. The biological recognition moiety of the functionalized coating results in binding of the target analyte which causes a change in the interaction of the nanoparticles under the influence of an external magnetic field. This forms the basis of the fabrication of a bio-magnetic sensor. The current study reports the use of three different macromolecules viz. glycol chitosan (GC), poly ethylene glycol methyl ether (PEGME) and poly sodium stereo-4 sulphate (PSSNa) to functionalize and cap the magnetic nanoparticles. The magnetic nanoparticles were characterized using FTIR, XRD, TEM and TGA to evaluate their structural and surface properties. TEM showed spherical nanoparticles with mean size of ~11, 12 and 13 nm for GC, PEGME and PSSNa-MNPs respectively. TGA evaluates the weight loss of the modified MNPs and confirms the coating on the surface of the MNPs. Bovine serum albumin (BSA) was immobilized on the functionalized MNPs and detection studies were carried out using AC susceptibility studies on a physical property measurement system. Detection of BSA immobilized MNPs was exhibited at 300 K by the measurement of the imaginary part of the magnetic susceptibility over a frequency range and is based on the changes of dynamic magnetic properties of the MNPs, making use of the Brownian relaxation.
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