Institute of Physics, Faculty of Science, P.J. Šafárik University, Park Angelinum 9, 04001, Košice, Slovakia.
Institute of Chemistry, Faculty of Science, P.J. Šafárik University, Moyzesova 11, 04001, Košice, Slovakia.
Sci Rep. 2024 Jun 23;14(1):14427. doi: 10.1038/s41598-024-64839-2.
The study presents a series of examples of magnetic nanoparticle systems designed for the diagnosis of viral diseases. In this interdisciplinary work, we describe one of the most comprehensive synthetic approaches for the preparation and functionalization of smart nanoparticle systems for rapid and effective RT-PCR diagnostics and isolation of viral RNA. Twelve different organic ligands and inorganic porous silica were used for surface functionalization of the FeO magnetic core to increase the number of active centres for efficient RNA binding from human swab samples. Different nanoparticle systems with common beads were characterized by HRTEM, SEM, FT-IR, XRD, XPS and magnetic measurements. We demonstrate the application of the fundamental models modified to fit the experimental zero-field cooling magnetization data. We discuss the influence of the nanoparticle shell parameters (morphology, thickness, ligands) on the overall magnetic performance of the systems. The prepared nanoparticles were tested for the isolation of viral RNA from tissue samples infected with hepatitis E virus-HEV and from biofluid samples of SARS-CoV-2 positive patients. The efficiency of RNA isolation was quantified by RT-qPCR method.
本研究提出了一系列用于诊断病毒疾病的磁性纳米粒子系统的实例。在这项跨学科的工作中，我们描述了一种最全面的合成方法之一，用于制备和功能化智能纳米粒子系统，以实现快速有效的 RT-PCR 诊断和病毒 RNA 的分离。我们使用了 12 种不同的有机配体和无机多孔硅来对 FeO 磁性核进行表面功能化，以增加从人类拭子样本中有效结合 RNA 的活性中心数量。通过 HRTEM、SEM、FT-IR、XRD、XPS 和磁测量对具有常见珠粒的不同纳米粒子系统进行了表征。我们证明了对基本模型的修改的应用，以适应实验的零场冷却磁化数据。我们讨论了纳米粒子壳参数（形态、厚度、配体）对系统整体磁性能的影响。通过 RT-qPCR 方法定量评估了从感染戊型肝炎病毒（HEV）的组织样本和 SARS-CoV-2 阳性患者的生物流体样本中分离病毒 RNA 的效率。
