High-throughput gas phase transient reactor for catalytic material characterization and kinetic studies

Morra, G.; Desmartin-Chomel, A.; Daniel, Cécile; Ravon, Ugo; Farrusseng, David; Cowan, Robert L.; Krusche, Michael; Mirodatos, C.

doi:10.1016/j.cej.2007.06.023

Cited by 24 publications

(11 citation statements)

References 43 publications

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“…By 'air', we mean a 20:80vol% O 2 :He gas mixture. Catalytic measurements were performed on a SWITCH 16 reactor System (AMTEC GmbH), which can contain up to 16 samples [17]. This system is built up from 16 tubular reactors (internal diameter 7 mm) placed in a heating device and individually connected to an inlet gas valve.…”

Section: Catalytic Activitymentioning

confidence: 99%

Tests for the Use of La₂Mo₂O₉‐based Oxides as Multipurpose SOFC Core Materials

et al. 2010

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International audienceThe mixed ionic-electronic conductivity under dilute hydrogen, the stability and the catalytic activity under propane:air type mixtures of a series of LAMOX oxide-ion conductors have been studied. The effect of exposure to dilute hydrogen on the conductivity of the -La2(Mo2 - yWy)O9 series at 600 °C depends on tungsten content: almost negligible for the highest (y = 1.4), it is important for La2Mo2O9 (y = 0). In propane:air, all tested LAMOX electrolytes are stable at 600-700 °C, but get reduced when water vapour is present. La2Mo2O9 is the best oxidation catalyst of the series, with an activity comparable to that of nickel.The catalytic activity of other tested LAMOX compounds is much lower, (La1.9Y0.1)Mo2O9 showing a deactivation phenomenon. These results suggest that depending on composition, La2(Mo2 - yWy)O9 compounds could be either electrolytes in single-chamber SOFC and dual-chamber micro-SOFC (y = 1.4) or anode materials in dual-chamber SOFC (low y) or oxidation catalysts in SOFCs operating with propane (y = 0)

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Section: Catalytic Activitymentioning

confidence: 99%

Tests for the Use of La₂Mo₂O₉‐based Oxides as Multipurpose SOFC Core Materials

et al. 2010

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“…The multi-stream MS was later employed for further catalysis measurements of various metal-docked H-ZSM-5 zeolites to the conversion of CO and methane to ethene and aromatic compounds [163] as well for a HT NH 3 -TPD method (see Section 2.2.2). [99] Other authors later developed similar reactors that allowed for rapid sequential analysis [120,[164][165][166] and beyond the porous materials field, the authors Casacuberta et al [167] recently employed a miniaturized 14 C mass spectrometry-based analyzer system [168] to sequentially determine the concentration of CO 2 present in seven seawater samples, where this latter example is of particular note due to the smaller size of the MS enabling a multi-instrument HT workflow. However a parallel, concurrent MS for academic use is yet to materialize and be used for zeolite catalysts.…”

Section: Early Methods Of Catalytic Testingmentioning

confidence: 99%

High Throughput Methods in the Synthesis, Characterization, and Optimization of Porous Materials

et al. 2020

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Notwithstanding these impediments, in many fields of materials science, solutions are being designed to mitigate hindrances to the efficient sampling of chemical space and improving the robustness of computational screening models through a combination of high throughput synthesis (HTS), characterization, and machine learning. In this review, we highlight key developments in high throughput approaches pertinent to porous materials. Specifically, we focus on developments in the field of zeolitic materials, metal-organic frameworks (MOFs), and touch upon covalent organic frameworks (COFs). Although superficially these classes of materials have little in common, there are structural links such as topology which allow for the consideration of how high throughput methods contrast with one another. By contrasting developments in different fields, we identify some underutilized approaches which could be leveraged in the future. We target structurally ordered materials because the exploration of chemical and topological space is more straightforward to enumerate, though similar approaches could be applied to disordered materials. The scale of the problem faced in materials science of targeted structure and function [1] is by no means unique; in drug discovery, HTS and chemoinformatic approaches have been used for more than 40 years in an attempt to accelerate the discovery of druggable molecules. [2,3] Unlike the drug discovery process, where Lipinski's "rule of 5" [4] provides a reliable top level sift for viable targets, identifying the most promising material for a target application requires very particular properties that may be intertwined in complex and contradictory ways. For example, thermoelectrics require high electrical conductivity and low thermal conductivity and yet these properties are typically correlated unless they can be separated. [5] Given the large scope of potential applications, the advent of the Materials Genome Initiative (MGI) [6,7] in the United States has undoubtedly helped to promote ways to solve the aforementioned obstacles and numerous others. Similarly there are major initiatives within the EU (e.g., NOMAD [8] and BIGmax [9]) and Switzerland (MARVEL [10]). In the MGI, nanoporous materials, including zeolites and MOFs, have been specifically targeted [11] and in this review, we seek to highlight particular challenges in the field of porous materials and how researchers have sought to overcome these challenges. We focus primarily on the methods used in HTS and rapid throughput/screening computational approaches. Aspects of high throughput computation applied to porous materials have been reviewed before, [12-14] as has high throughput experimentation (HTE) [15,16] but here we focus on their combination within an integrated workflow. Porous materials are widely employed in a large range of applications, in particular, for storage, separation, and catalysis of fine chemicals. Synthesis, characterization, and pre-and post-synthetic computer simulations are mostly carried out in a piecemeal a...

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“…53,78,119,120,132 In addition, parallelization (scale-out) is often used in microfluidics to increase throughput. 110,113,127,128,161 Here, instead of increasing the dimensions, separate reaction channels are used to screen various catalyst compositions. Clever tricks such as the cross-flow reactor, by the group of Jensen, 127,128 do not only reduce the pressure drop over the catalyst bed but also increase the throughput.…”

Section: Activity Of Supported Catalyst Nanoparticles In Microreactorsmentioning

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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High-throughput gas phase transient reactor for catalytic material characterization and kinetic studies

Cited by 24 publications

References 43 publications

Tests for the Use of La₂Mo₂O₉‐based Oxides as Multipurpose SOFC Core Materials

Tests for the Use of La₂Mo₂O₉‐based Oxides as Multipurpose SOFC Core Materials

High Throughput Methods in the Synthesis, Characterization, and Optimization of Porous Materials

Microfluidics and catalyst particles

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High-throughput gas phase transient reactor for catalytic material characterization and kinetic studies

Cited by 24 publications

References 43 publications

Tests for the Use of La2Mo2O9‐based Oxides as Multipurpose SOFC Core Materials

Tests for the Use of La2Mo2O9‐based Oxides as Multipurpose SOFC Core Materials

High Throughput Methods in the Synthesis, Characterization, and Optimization of Porous Materials

Microfluidics and catalyst particles

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Tests for the Use of La₂Mo₂O₉‐based Oxides as Multipurpose SOFC Core Materials

Tests for the Use of La₂Mo₂O₉‐based Oxides as Multipurpose SOFC Core Materials