Hoshiar Ali Kafash, Le Tuan-Anh, Amin Faiz Ul, Kim Myeong Ok, Yoon Jungwon
Faculty of Industrial and Mechanical Engineering, Islamic Azad University, Qazvin Branch, Qazvin 34199-15195, Iran.
School of Integrated Technology, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Buk-gu, Gwangju 61005, Korea.
Nanomaterials (Basel). 2017 Dec 22;8(1):3. doi: 10.3390/nano8010003.
The blood-brain barrier (BBB) hinders drug delivery to the brain. Despite various efforts to develop preprogramed actuation schemes for magnetic drug delivery, the unmodeled aggregation phenomenon limits drug delivery performance. This paper proposes a novel scheme with an aggregation model for a feed-forward magnetic actuation design. A simulation platform for aggregated particle delivery is developed and an actuation scheme is proposed to deliver aggregated magnetic nanoparticles (MNPs) using a discontinuous asymmetrical magnetic actuation. The experimental results with a Y-shaped channel indicated the success of the proposed scheme in steering and disaggregation. The delivery performance of the developed scheme was examined using a realistic, three-dimensional (3D) vessel simulation. Furthermore, the proposed scheme enhanced the transport and uptake of MNPs across the BBB in mice. The scheme presented here facilitates the passage of particles across the BBB to the brain using an electromagnetic actuation scheme.
血脑屏障（BBB）阻碍药物向大脑的递送。尽管为磁控药物递送开发预编程驱动方案做出了各种努力，但未建模的聚集现象限制了药物递送性能。本文提出了一种具有聚集模型的新颖方案，用于前馈磁驱动设计。开发了一个用于聚集颗粒递送的模拟平台，并提出了一种驱动方案，使用不连续不对称磁驱动来递送聚集的磁性纳米颗粒（MNP）。在Y形通道上的实验结果表明所提出的方案在引导和解聚方面取得了成功。使用逼真的三维（3D）血管模拟检查了所开发方案的递送性能。此外，所提出的方案增强了MNP在小鼠体内跨血脑屏障的运输和摄取。本文提出的方案使用电磁驱动方案促进颗粒穿过血脑屏障进入大脑。
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