Magnetic iron oxide nanoparticles: Synthesis and surface coating techniques for biomedical applications

Iron oxide nanoparticles are the most popular magnetic nanoparticles used in biomedical applications due to their low cost, low toxicity, and unique magnetic property. Magnetic iron oxide nanoparticles, including magnetite （Fe304） and maghemite （γ-Fe203）, usually exhibit a superparamagnetic property as their size goes smaller than 20 nm, which are often denoted as superparamagnetic iron oxide nanoparticles （SPIONs） and utilized for drug delivery, diagnosis, therapy, and etc. This review article gives a brief introduction on magnetic iron oxide nanoparticles in terms of their fundamentals of magnetism, magnetic resonance imaging （MRI）, and drug delivery, as well as the synthesis approaches, surface coating, and application examples from recent key literatures. Because the quality and surface chemistry play important roles in biomedical applications, our review focuses on the synthesis approaches and surface modifications of iron oxide nanopar- ticles. We aim to provide a detailed introduction to readers who are new to this field, helping them to choose suitable synthesis methods and to optimize the surface chemistry of iron oxide nanoparticles for their interests.     

光A/D转换器中飞秒脉冲谱分割的Matlab仿真(英)

介绍了一种用于A/D转换的120 GS/s光采样时钟。讨论了生成这种采样时钟的方法,以及一种以其为基础的全光示波器。用Matlab实现飞秒激光脉冲谱分割以及复用的仿真,并进一步说明了用生成的光脉冲序列进行采样时需要考虑的问题。将Optisystem的仿真结果与Matlab的结果进行对比,并用Matlab计算的衰减率结果对Optisystem生成的采样光序列接行了优化。