Munoz-Menendez Cristina, Conde-Leboran Ivan, Baldomir Daniel, Chubykalo-Fesenko Oksana, Serantes David
Instituto de Investigacións Tecnolóxicas and Departamento de Física Aplicada, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.
Phys Chem Chem Phys. 2015 Nov 7;17(41):27812-20. doi: 10.1039/c5cp04539h.
An efficient and safe hyperthermia cancer treatment requires the accurate control of the heating performance of magnetic nanoparticles, which is directly related to their size. However, in any particle system the existence of some size polydispersity is experimentally unavoidable, which results in a different local heating output and consequently a different hyperthermia performance depending on the size of each particle. With the aim to shed some light on this significant issue, we have used a Monte Carlo technique to study the role of size polydispersity in heat dissipation at both the local (single particle) and global (macroscopic average) levels. We have systematically varied size polydispersity, temperature and interparticle dipolar interaction conditions, and evaluated local heating as a function of these parameters. Our results provide a simple guide on how to choose, for a given polydispersity degree, the more adequate average particle size so that the local variation in the released heat is kept within some limits that correspond to safety boundaries for the average-system hyperthermia performance. All together we believe that our results may help in the design of more effective magnetic hyperthermia applications.
高效且安全的热疗癌症治疗需要精确控制磁性纳米颗粒的加热性能，而这直接与其尺寸相关。然而，在任何颗粒系统中，实验上不可避免地存在一定程度的尺寸多分散性，这会导致不同的局部加热输出，进而根据每个颗粒的尺寸产生不同的热疗性能。为了阐明这一重要问题，我们使用蒙特卡罗技术研究了尺寸多分散性在局部（单个颗粒）和全局（宏观平均）水平上对热耗散的作用。我们系统地改变了尺寸多分散性、温度和颗粒间偶极相互作用条件，并评估了作为这些参数函数的局部加热情况。我们的结果为如何在给定的多分散度下选择更合适的平均颗粒尺寸提供了一个简单指南，以便释放热量的局部变化保持在与平均系统热疗性能的安全边界相对应的某些限制范围内。我们认为，总体而言，我们的结果可能有助于设计更有效的磁热疗应用。
