Carbon Combustion Synthesis in Patterned Precursor Media

微米和纳米结构复合氧化物的碳燃烧合成似乎提供了一种简单有效的方法，用于制造复杂的微米和纳米结构氧化物，用于生物医学成像，药物输送，数据存储，生物传感器，存储设备，纳米电子学和能量存储。为了响应对这种新材料的需求，已经开发了许多具有不同复杂性、材料质量、生产成本和效率的合成方法。然而，通常，相对复杂性、高反应物成本和副产物处置的环境问题限制了大规模应用。 在碳燃烧合成中，纳米颗粒由简单氧化物与纳米石墨的化学计量粉末混合物在碳的放热氧化维持的自传播反应波中形成。合成发生在几秒的时间尺度上，热前沿传播速度在0.1至3 mm/s的范围内;薄膜版本的过程的初步数据显示不到1秒的转换时间。该技术具有简单，反应物成本低，没有其他副产物比二氧化碳的显着承诺。这个实验和建模项目的目标是深入了解相成核和生长的机制，并应用知识控制的材料性能。这项工作是特别创新的，因为第一次，燃烧合成图案化的前体介质将进行调查。将开发一套用于实时合成监测和反应产物合成后表征的有效工具，并用于实验。为了解释这些数据并预测二氧化碳释放和氧的反向扩散对碳燃烧合成过程中热能传输和产品性能的影响，将开发一个计算机模型。 目标用途是使用钴铁氧体作为模型系统，有效合成具有精确控制性能的磁性纳米颗粒，用于生物传感器，数据存储和医学成像。除了潜在的技术影响外，该计划的研究结果将被整合到PI教授的现有材料相关课程中。参与该计划的各种研究生和本科生将处于具有广泛工业潜力的迷人科学领域的最前沿。

0933140LitvinovCarbon combustion synthesis of micro and nanostructured complex oxides appears to offer a simple and efficient method for making complex micro- and nanostructured oxides to be used in biomedical imaging, drug delivery, data storage, biosensors, memory devices, nanoelectronics, and energy storage. To respond to the demand for such new materials, many synthesis approaches have been developed with varying complexities, materials quality, production costs and efficiency. Often, however, relative complexity, high reactant costs, and environmental issues of by-product disposal limit large-scale applications. In carbon combustion synthesis, nanoparticulates are formed from stoichiometric powder mixtures of simple oxides with nano graphite in a self-propagating reaction wave sustained by exothermic oxidation of carbon. Synthesis occurs on a time scale of several seconds with the thermal front propagation velocities in the range of 0.1 to 3 mm/s; preliminary data on a thin-film version of the process show less than 1sec conversion times. The technology carries a significant promise for simplicity, low reactant costs, and no other byproducts than carbon dioxide.The goal of this experimental and modeling project is to gain insight into the mechanisms of phase nucleation and growth and to apply the knowledge for control of the material properties. The work is particularly innovative in that, for the first time, combustion synthesis in patterned precursor media will be investigated. An efficient toolset for real-time synthesis monitoring and post-synthesis characterization of reaction products will be developed and used for the experiments. To interpret the data and to predict the impacts of carbon dioxide release and the counterdiffusion of oxygen on thermal energy transport during carbon combustion synthesis and on the properties of the products, a computer model will be developed. The target use is efficient synthesis of magnetic nanoparticles with precision-controlled properties for applications in biosensors, data storage, and medical imaging, using cobalt ferrite as a model system. In addition to the potential technological impacts, findings of the program will be integrated into the existing materials-related courses taught by the PI. A diverse set of graduate and undergraduate students participating in the program will be at the forefront of a fascinating scientific field with broad industrial potential.