Georgia Institute of Technology, Atlanta, GA 30332-0373, USA.
Phys Chem Chem Phys. 2013 Jul 28;15(28):11740-7. doi: 10.1039/c3cp51310f. Epub 2013 Jun 11.
Neutron imaging is presented as a tool for quantifying the diffusion of ions inside porous materials, such as carbon electrodes used in the desalination process via capacitive deionization and in electrochemical energy-storage devices. Monolithic mesoporous carbon electrodes of ∼10 nm pore size were synthesized based on a soft-template method. The electrodes were used with an aqueous solution of gadolinium nitrate in an electrochemical flow-through cell designed for neutron imaging studies. Sequences of neutron images were obtained under various conditions of applied potential between the electrodes. The images revealed information on the direction and magnitude of ion transport within the electrodes. From the time-dependent concentration profiles inside the electrodes, the average value of the effective diffusion coefficient for gadolinium ions was estimated to be 2.09 ± 0.17 × 10(-11) m(2) s(-1) at 0 V and 1.42 ± 0.06 × 10(-10) m(2) s(-1) at 1.2 V. The values of the effective diffusion coefficient obtained from neutron imaging experiments can be used to evaluate model predictions of the ion transport rate in capacitive deionization and electrochemical energy-storage devices.
中子成像是一种定量分析离子在多孔材料(如用于电容去离子和电化学储能设备的碳电极)内部扩散的工具。基于软模板法合成了孔径约为 10nm 的整体介孔碳电极。在设计用于中子成像研究的电化学流通池里,电极与硝酸钆的水溶液一起使用。在电极之间施加不同电位的情况下,获得了一系列中子图像。这些图像揭示了电极内部离子传输的方向和大小的信息。从电极内部的时变浓度分布中,估计在 0V 时钆离子的有效扩散系数的平均值为 2.09 ± 0.17×10(-11) m(2) s(-1),在 1.2V 时为 1.42 ± 0.06×10(-10) m(2) s(-1)。从中子成像实验获得的有效扩散系数值可用于评估电容去离子和电化学储能设备中离子传输速率的模型预测。