SIRG: Development of Sensor Networks for Aquatic Nanoparticle Characterization

P.I.乔治？帕彭 提案编号：0428900项目概述纳米颗粒或水环境中的胶体，其尺寸范围为1至1000 nm，处于可溶性化学物质和沉降颗粒之间的边界。它们是海洋和其他水生环境中最丰富的颗粒，占“溶解”有机碳的很大一部分。物理和生物化学性质的原位表征对于广泛的基础应用至关重要，包括：1）海洋地球化学，2）海洋光学和3）水生生物危害。虽然纳米颗粒的特性对于各种应用都很重要，但其复杂的异质性和小尺寸使得原位测定其物理和化学特性极具挑战性。迄今为止，大多数表征技术是基于实验室的，因此是有限的。该项目将开发用于水生纳米颗粒表征的原位传感器网络，可以解决更广泛的应用并在海洋环境中进行测试。该研究计划包括开发基于微流体的技术，可以预处理和帮助分析水生纳米颗粒和细菌的异质组件，以及开发一套先进的光学技术，使用光场的振幅和相位，多个波长，多个散射角，偏振特性和并行询问体积，其在宽范围的变量上顺序地对颗粒特性进行分类。该计划最终将部署一个原型原位传感器网络节点，该节点可以测量水生纳米颗粒的物理和地球化学性质，形成一个完整的传感器网络的基础，用于原位空间和时间监测。

P.I. Papen, George Proposal #: 0428900Project SummaryNanoparticles, or colloids in aquatic environments, have sizes ranging from 1 to 1000 nm and are at the boundary between soluble chemical species and sinking particles. They are the most abundant particles in the ocean and other aquatic environments and account for a significant portion of "dissolved" organic carbon. In situ characterization of the physical and biochemical properties is crucial for a wide range of fundamental applications including: 1) ocean biogeochemistry 2) ocean optics and 3) aquatic biological hazards. While the characteristics of nanoparticles are important for a variety of applications, their complex heterogeneous nature and small size makes the in situ determination of their physical and chemical characteristics extremely challenging. To date, most characterization techniques are laboratory-based and are thus limited. This project will develop in situ sensor networks for aquatic nanoparticle characterization that can address a broader range of applications and test them in an ocean environment. The research program consists of the development of microfluidic-based techniques that can preprocess and help analyze heterogeneous assemblies of aquatic nanoparticles and bacteria and the development of a pipelined suite of advanced optical techniques using the amplitude and the phase of the optical fields, multiple wavelengths, multiple scattering angles, polarization properties, and parallel interrogation volumes, which sequentially classify particle characteristics over a wide range of variables. The program will culminate in the deployment of a prototype in situ sensor network node that can measure both the physical and biogeochemical properties of aquatic nanoparticles forming the basis of a complete sensor network for in situ spatial and temporal monitoring.