PMAMPC-MNPs包覆磁性纳米粒子的实验分析与优化

Adeyinka O.M. Adeoye, Joseph F. Kayode, Bankole I. Oladapo, Samuel O. Afolabi
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引用次数: 29

摘要

磁性纳米颗粒(MNPs)在生物医学和生物技术工程中的应用具有重要意义。MNPs在传感器和生物传感器的设计和开发方面吸引了越来越多的兴趣,用于其他几个应用领域。本文研究了一种新的Fe3+在碱性溶液中沉淀方法的MNPs优化方法。此外,对于具有随机聚[(甲基丙烯酸)-ran-(2-甲基丙烯酰氧乙基磷酸胆碱)](PMAMPC-MNPs)的表面涂层,通过在其结构中螯合羧基。我们建议将MNPs整合到用于(生物)传感器的传感器材料中,并分散在样品中。这些由外部磁场吸引到(生物)传感器的主动检测表面。使用RPM、AMD、PC和铁原子来寻找涂覆传感器表面所需的最佳条件,如颗粒浓度。颗粒技术FT-IR和TEM技术表明,所合成的PMAMPC-MNPs在10-60 nm范围内呈球形,包被聚合物,分散性强,稳定性好。此外,涂有这种性质的聚合物的颗粒保持稳定,因为反应中的催化剂允许颜色变化。这将能够提高传感器和生物传感器的灵敏度和稳定性。这可以应用于生物传感器测量应用的PMAMPC-MNPs。
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Experimental analysis and optimization of synthesized magnetic nanoparticles coated with PMAMPC-MNPs for bioengineering application

Biomedical and biotechnological engineering applications of magnetic nanoparticles (MNPs) for sensors are found to be of great importance. MNPs have attracted a growing interest in the design and development of sensors and biosensors for other several fields of applications. This research dealt with a novel optimization of MNPs of precipitation method of Fe3+ in basic solution. Also, for a surface coat with a random poly [(methacrylic acid)-ran-(2-methacryloyloxyethyl phosphorylcholine)] (PMAMPC-MNPs) by the means of chelating carboxylic group in its structure. We proposed MNPs to be incorporated into the transducer materials used for (bio)sensor and be dispersed in the sample. These caused an attraction by an external magnetic field onto the active detection surface of the (bio)sensor. RPM AMD PC and iron atoms were used to find the optimum conditions needed to coat the surfaces of the sensor such as particle concentrations. Particle technique FT-IR and TEM techniques showed that the synthesized PMAMPC-MNPs were spherical in shape in the range of 10–60 nm coated with a polymer capable of enhancing dispersion and good stability. In addition, particles coated with polymers of this property remain stable as the catalysts in reactions allowed the colour changes. This would be able to enhance sensitivity and stability of sensors and biosensors. This can be applied to the PMAMPC-MNPs for biosensors measurement application.

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