A combined theoretical and in vitro modeling approach for predicting the magnetic capture and retention of magnetic nanoparticles in vivo.
A combined theoretical and in vitro modeling approach for predicting the magnetic capture and retention of magnetic nanoparticles in vivo.
复制标题
一种合并的理论和体外建模方法，用于预测体内磁性纳米颗粒的磁捕获和保留。
DOI：
10.1016/j.jconrel.2011.01.033
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发表时间：
2011-05-30
期刊：
影响因子：
--
通讯作者：
Yang VC
中科院分区：
文献类型：
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作者：
David AE;Cole AJ;Chertok B;Park YS;Yang VC
磁性纳米粒子（MNP）作为抗癌的潜在诊断和治疗工具继续引起人们的广泛关注。虽然许多相互作用的力量，目前本身在磁靶向MNP肿瘤，这个过程中的大多数理论考虑忽略所有除了磁力和阻力。我们根据体内数据验证了简单的体外模型，并随后用理论模型再现了体外结果，表明这两种力确实主导了MNP的磁性捕获。然而，由于纳米颗粒可能发生聚集，并且大的MNP经历增加的磁力，因此不能忽略表面力对MNP稳定性的影响。我们通过测量磁场从流动中保留的MNP的大小来简单地解释聚集表面力，并在数学模型中利用该大小。这大概解释了所有粒子间的相互作用，包括磁偶极子之间的相互作用。因此，我们的“校正”数学模型提供了一个合理的估计，不仅分数MNP保留，但也预测了在模拟毛细管中的积累区域。此外，该模型还用于计算MNP的大小和相对于磁体的空间位置对MNP靶向肿瘤的影响。这种体外模型与理论模型的结合可能有助于磁靶向的参数评估，并能够快速增强和优化磁靶向方法。
Magnetic nanoparticles (MNP) continue to draw considerable attention as potential diagnostic and therapeutic tools in the fight against cancer. Although many interacting forces present themselves during magnetic targeting of MNP to tumors, most theoretical considerations of this process ignore all except for the magnetic and drag forces. Our validation of a simple in vitro model against in vivo data, and subsequent reproduction of the in vitro results with a theoretical model indicated that these two forces do indeed dominate the magnetic capture of MNP. However, because nanoparticles can be subject to aggregation, and large MNP experience an increased magnetic force, the effects of surface forces on MNP stability cannot be ignored. We accounted for the aggregating surface forces simply by measuring the size of MNP retained from flow by magnetic fields, and utilized this size in the mathematical model. This presumably accounted for all particle-particle interactions, including those between magnetic dipoles. Thus, our “corrected” mathematical model provided a reasonable estimate of not only fractional MNP retention, but also predicted the regions of accumulation in a simulated capillary. Furthermore, the model was also utilized to calculate the effects of MNP size and spatial location, relative to the magnet, on targeting of MNPs to tumors. This combination of an in vitro model with a theoretical model could potentially assist with parametric evaluations of magnetic targeting, and enable rapid enhancement and optimization of magnetic targeting methodologies.