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Controlled Preparation of Nanoparticle Gradient Materials by Diffusion

机译:扩散控制制备纳米颗粒梯度材料

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摘要

Nanoparticle gradient materials combine a concentration gradient of nanoparticles with a macroscopic matrix. This way, specific properties of nanoscale matter can be transferred to bulk materials. These materials have great potential for applications in optics, electronics, and sensors. However, it is challenging to monitor the formation of such gradient materials and prepare them in a controlled manner. In this study, we present a novel universal approach for the preparation of this material class using diffusion in an analytical ultracentrifuge. The nanoparticles diffuse into a molten thermoreversible polymer gel and the process is observed in real-time by measuring the particle concentrations along the length of the material to establish a systematic understanding of the gradient generation process. We extract the apparent diffusion coefficients using Fick’s second law of diffusion and simulate the diffusion behavior of the particles. When the desired concentration gradient is achieved the polymer solution is cooled down to fix the concentration gradient in the formed gel phase and obtain a nanoparticle gradient material with the desired property gradient. Gradients of semiconductor nanoparticles with different sizes, fluorescent silica particles, and spherical superparamagnetic iron oxide nanoparticles are presented. This method can be used to produce tailored nanoparticle gradient materials with a broad range of physical properties in a simple and predictable way.
机译:纳米粒子梯度材料将纳米粒子的浓度梯度与宏观基质结合在一起。这样,可以将纳米级物质的特定性质转移到块状材料中。这些材料在光学,电子和传感器领域具有巨大的潜力。然而,监测这种梯度材料的形成并以受控方式制备它们是具有挑战性的。在这项研究中,我们提出了一种新的通用方法,用于在分析超速离心机中使用扩散来制备这种材料。纳米粒子扩散到熔融的热可逆聚合物凝胶中,并通过测量沿材料长度方向的粒子浓度来实时观察该过程,以建立对梯度生成过程的系统性了解。我们使用Fick的第二扩散定律提取视在扩散系数,并模拟粒子的扩散行为。当达到所需的浓度梯度时,将聚合物溶液冷却以将浓度梯度固定在形成的凝胶相中,并获得具有所需性质梯度的纳米粒子梯度材料。提出了具有不同尺寸的半导体纳米粒子,荧光二氧化硅粒子和球形超顺磁性氧化铁纳米粒子的梯度。该方法可用于以简单且可预测的方式生产具有广泛物理特性的量身定制的纳米粒子梯度材料。

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