应用分形模型对纳米颗粒在毛细管-组织系统中聚集的数学探讨。

Bhawini Prasad
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引用次数: 0

摘要

利用纳米颗粒为基础的靶向给药技术代表了肿瘤治疗的一项进步,旨在改善药物在肿瘤中的保留并最大限度地减少副作用。本研究探讨了纳米粒子聚集作为一种增强肿瘤组织中治疗剂保留和控制分散的机制。与现有的主要关注单颗粒扩散的模型不同,本研究使用基于分形的数学模型研究了纳米颗粒从毛细血管扩散到周围组织时的聚集动力学。通过结合分形几何,该模型独特地捕获了纳米颗粒与异质肿瘤环境相互作用的复杂性。利用MATLAB对方程进行求解,结果表明纳米颗粒在毛细管中形成约75 nm的聚集体,其最佳分形维数为2.8,有利于有效的聚集和滞留。这些发现为聚集体控制的药物传递系统提供了新的视角,为提高纳米颗粒在肿瘤中的生物利用度和治疗效果提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical Probe of Nanoparticle Aggregation in Capillary-Tissue System Applying Fractal Model.

Targeted drug delivery using nanoparticle-based technology represents an advance in tumor treatment aiming to improve drug retention in tumors and minimize side effects. This study explores nanoparticle aggregation as a mechanism of enhanced retention and controlled dispersion of therapeutic agents in tumor tissues. Unlike existing models that primarily focus on single-particle diffusion, this research investigates the aggregation dynamics of nanoparticles upon diffusion from capillaries into the surrounding tissue, using a fractal-based mathematical model. By incorporating fractal geometry, this model uniquely captures the complexity of nanoparticle interactions with heterogeneous tumor environments. The equations, solved using MATLAB, reveal that nanoparticles form aggregates of approximately 75 nm in the capillary, with an optimal fractal dimension of 2.8 promoting efficient aggregation and retention. These findings provide a new perspective on aggregation-controlled drug delivery systems, offering insights for enhancing nanoparticle bioavailability and therapeutic efficacy in tumors.

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