通过磁共振成像显示电渗析细胞中的局部离子浓度

IF 4.9 Q1 ENGINEERING, CHEMICAL
Simon Wennemaring , Maximilian Meerfeld , Christian J. Linnartz , Matthias Wessling
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引用次数: 0

摘要

电渗析(ED)为解决全球淡水短缺和防止工业废水造成的水污染提供了一个有前途的解决方案。然而,不透明ED模块中的局部离子浓度目前还无法测量,尽管这些信息对于高效脱盐至关重要。在这里,我们介绍了磁共振成像(MRI)作为一种调查技术来揭示ED模块内的浓度分布。信号强度与局部铜浓度相关,使我们能够重建模块内的铜分布。在我们的设置中,我们使用镀铂钛网作为阳极,铜网作为阴极。这些材料具有电化学稳定性,对层析成像磁场的干扰最小。在我们的例子中,我们应用的电流密度为50 mA cm-2,流速为0.1 mL min-1。MRI测量成功地显示了沿通道长度的海水淡化和浓度,其中一个稀释通道的浓度出乎意料地出现了局部峰值。然而,所使用的低场层析成像仪的分辨率不足以成像浓偏振。在高场层析成像中使用所提出的脱盐模块可以加深我们对原位过程的理解,并为基于观测的优化铺平道路,包括膜上的边界层和沿着通道长度的意想不到的浓度分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Visualizing the local ion concentration in electrodialysis cells via magnetic resonance imaging

Visualizing the local ion concentration in electrodialysis cells via magnetic resonance imaging
Electrodialysis (ED) offers a promising solution to address global freshwater shortages and prevent water pollution caused by brackish wastewater from industrial plants. However, local ion concentrations in an opaque ED module cannot currently be measured, even though this information is essential for efficient desalination.
Here, we introduce Magnetic Resonance Imaging (MRI) as an investigative technique to reveal the concentration profiles within ED modules. The signal intensity correlates with the local copper concentration, enabling us to reconstruct the copper distribution inside the module. In our setup, we used a platinum-coated titanium mesh as the anode and a copper mesh as the cathode. These materials are electrochemically stable and minimize disturbances to the tomograph’s magnetic field. In our example case, we applied a current density of 50 mA cm-2 with a flow rate of 0.1 mL min-1. The MRI measurement successfully showed desalination and concentration along the channel length, where the concentration in one diluate channel unexpectedly exhibited a local peak. However, the resolution of the utilized low-field tomograph was not sufficient to image the concentration polarization. Utilizing the proposed desalination module in a high-field tomograph with a higher resolution can deepen our understanding of the in situ process and pave the way for observation-based optimization including the boundary layer at the membranes and unexpected concentration profiles along the channel length.
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