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Magnetophoretic Sorting of Single Catalyst Particles
Angewandte Chemie International Edition ( IF 16.6 ) Pub Date : 2018-07-13 , DOI: 10.1002/anie.201804942
Miguel Solsona 1 , Anne‐Eva Nieuwelink 2 , Florian Meirer 2 , Leon Abelmann 1, 3 , Mathieu Odijk 1 , Wouter Olthuis 1 , Bert M. Weckhuysen 2 , Albert van den Berg 1
Affiliation  

A better understanding of the deactivation processes taking place within solid catalysts is vital to design better ones. However, since inter‐particle heterogeneities are more a rule than an exception, particle sorting is crucial to analyse single catalyst particles in detail. Microfluidics offers new possibilities to sort catalysts at the single particle level. Herein, we report a first‐of‐its‐kind 3D printed magnetophoretic chip able to sort catalyst particles by their magnetic moment. Fluid catalytic cracking (FCC) particles were separated based on their Fe content. Magnetophoretic sorting shows that large Fe aggregates exist within 20 % of the FCC particles with the highest Fe content. The availability of Brønsted acid sites decreases with increasing Fe content. This work paves the way towards a high‐throughput catalyst diagnostics platform to determine why specific catalyst particles perform better than others.

中文翻译:

单个催化剂颗粒的磁热分选

更好地了解固体催化剂中发生的失活过程对于设计更好的催化剂至关重要。但是,由于颗粒间的异质性比一般情况更重要,因此颗粒分选对于详细分析单个催化剂颗粒至关重要。微流体技术提供了在单个颗粒水平上分选催化剂的新可能性。在此,我们报告了首款能够通过催化剂磁矩对催化剂颗粒进行分选的3D打印磁致变色芯片。流体催化裂化(FCC)颗粒根据其Fe含量进行分离。磁热分选表明,在Fe含量最高的FCC颗粒的20%之内,存在大量的Fe聚集体。布朗斯台德酸位的可用性随着铁含量的增加而降低。
更新日期:2018-07-13
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