Magnetophoretic Sorting of Single Catalyst Particles

Solsona, Miguel; Nieuwelink, Anne‐Eva; Meirer, Florian; Abelmann, Léon; Odijk, Mathieu; Olthuis, Wouter; Weckhuysen, Bert M.; Berg, Albert van den

doi:10.1002/anie.201804942

Cited by 23 publications

(24 citation statements)

References 50 publications

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“…In these particles, Fe is most likely deposited as clusters. These Fe clusters were already observed in the study of Solsona et al., in which it was demonstrated that particles with high Fe levels are not necessarily heavily deactivated …”

Section: Resultssupporting

confidence: 68%

“…These Fe clusters were already observed in the study of Solsonae tal.,i nw hich it was demonstrated that particles with high Fe levels are not necessarily heavily deactivated. [18] The different correlations between Fe and Ni with acidity and accessibility,l ead to the question how Fe and Ni relate to each other.F igure 5a shows the Ni-Fe correlation plots as a result of overlaying the single particle XRF maps. The correlation appears to be af an-shaped plot, indicating that particles with high Ni concentrationsg enerally also have elevated Fe levels.T he reversec orrelation,o nt he other hand, does not uphold,m eaning that particles with ah igh Fe concentration do not necessarilyh ave ah igh Ni content as well.…”

Section: Correlations Between Metal Type and Content Andc Atalyst Parmentioning

confidence: 99%

“…did an individual assessment of multiple FCC particles via microfluidic sorting, based on the particles’ magnetic moment. The sorted samples obtained were too small to perform bulk characterization techniques, but it was possible to analyze a significant number of particles on the single particle level . For this analysis, after sorting the FCC particles, all collected fractions were analyzed with μ‐XRF mapping and fluorescence microscopy using staining molecules to characterize the fractions’ metal content, acidity and accessibility.…”

Section: Introductionmentioning

confidence: 99%

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Single Particle Assays to Determine Heterogeneities within Fluid Catalytic Cracking Catalysts

Nieuwelink

Velthoen

Nederstigt

et al. 2020

Chemistry A European J

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Fluid catalytic cracking (FCC) is an important process in oil refinery industry to produce gasoline and propylene. Due to harsh reaction conditions, FCC catalysts are subject to deactivation through for example, metal accumulation and zeolite framework collapse. Here, we performa screening of the influenceo fm etal poisons on the acidity and accessibility of an industrial FCC catalystm aterialu sing laboratory-based single particle characterization that is, m-XRF and fluorescencem icroscopy in combination with probe molecules. These methods have been performed on density-separated FCC catalyst fractions, allowing to determine interparticleh eterogeneities in the catalyst under study.I twasf ound that with increasing catalyst density and metal content,t he aciditya nd accessibility of the catalyst particles decreased, while their distribution narrowed with catalysta ge. For example, particlesc ontainingh igh Ni level possessed very low acidity and were hardly accessibleb ya Nile Blue dye. Single catalyst particle mapping identifies minority species like the presence of ap hosphated zeolite ZSM-5-containing FCC additive for selective propylene formation, catalyst particles withoutany zeolite phase and catalyst particles, which act as atrap for SO x .

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Section: Resultssupporting

confidence: 68%

Section: Correlations Between Metal Type and Content Andc Atalyst Parmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Single Particle Assays to Determine Heterogeneities within Fluid Catalytic Cracking Catalysts

Nieuwelink

Velthoen

Nederstigt

et al. 2020

Chemistry A European J

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“…These actuators can be based on various phenomena, but the most commonly used are electric field, 191,197,200 mechanic valves, 189,190,194,201 temperature, 202,203 acoustic waves, 204 pressure, 195,205 and magnetic field. [206][207][208] Particle storage and tagging. Catalyst deactivation over time is of great concern for researchers and industry.…”

Section: Perspectives On Catalyst Characterization In Microfluidicsmentioning

confidence: 99%

Microfluidics and catalyst particles

et al. 2019

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In this review article, we discuss the latest advances and future perspectives of microfluidics for micro/ nanoscale catalyst particle synthesis and analysis. In the first section, we present an overview of the different methods to synthesize catalysts making use of microfluidics and in the second section, we critically review catalyst particle characterization using microfluidics. The strengths and challenges of these approaches are highlighted with various showcases selected from the recent literature. In the third section, we give our opinion on the future perspectives of the combination of catalytic nanostructures and microfluidics. We anticipate that in the synthesis and analysis of individual catalyst particles, generation of higher throughput and better understanding of transport inside individual porous catalyst particles are some of the most important benefits of microfluidics for catalyst research. SynthesisThis section focuses on the most recent approaches within the last 8 years. For a more extensive overview of the synthesis of nanostructures focused on the processes taking place inside the microfluidic systems, 5 the final application 4 or the microfluidic technology used 6,7 we refer the reader to other review articles. Metal nanoparticlesMetal nanoparticles exhibit very interesting catalytic, optical, chemical, electromagnetic and magnetic properties, all of them depending to a large degree on their size and composition. Regarding catalysis, a decrease of the NP size leads to a surface-area increase per mass, providing more active sites. Also, the surface structure is of vital importance for the NP selectivity: the presence of steps, edges or terraces in the atomic surface can influence the reaction pathways to Lab Chip, 2019, 19, 3575-3601 | 3575 This journal is

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“…These actuators can be based on various phenomena, but the most commonly used are electric field, 162,168,171 mechanic valves, 160,161,165,172 temperature, 173,174 acoustic waves, 175 pressure, 166,176 magnetic field. [177][178][179]…”

Section: Single Particle Sortingmentioning

confidence: 99%

Single Catalyst Particle Diagnostics

Solsona¹

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Magnetophoretic Sorting of Single Catalyst Particles

Cited by 23 publications

References 50 publications

Single Particle Assays to Determine Heterogeneities within Fluid Catalytic Cracking Catalysts

Single Particle Assays to Determine Heterogeneities within Fluid Catalytic Cracking Catalysts

Microfluidics and catalyst particles

Single Catalyst Particle Diagnostics

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