Asphaltenes Dissolution Mechanism Study by in Situ Raman Characterization of a Packed-Bed Microreactor with HZSM-5 Aluminosilicates

Chen, Weiqi; Vashistha, Priyangi; Yen, Andrew; Joshi, Nikhil; Kapoor, Yogesh; Hartman, Ryan L.

doi:10.1021/acs.energyfuels.8b02854

Cited by 9 publications

(17 citation statements)

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“…In situ Raman and in-line UV-vis spectroscopy were used to study the deposition and dissolution of asphaltenes in a packed-bed reactor filled with zeolite H-ZSM-5 with different silica/alumina ratios. 149 Their results show the influence of the ratio on the deposition of asphaltenes in the pore structure, as measured with Raman spectroscopy. Dissolution of asphaltenes and their aromatic sheet sizes when xylene is pumped through the zeolite pores have been measured with UV-vis, see Fig.…”

Section: Activity Of Supported Catalyst Nanoparticles In Microreactorsmentioning

confidence: 89%

“…Monitoring catalyst activity (or deactivation) over a longer period of time can be very useful. In situ catalyst deactivation studies show the importance of characterization of catalysts while they are at work, 111,141,149,160 as shown in Fig. 7.…”

Section: Activity Of Supported Catalyst Nanoparticles In Microreactorsmentioning

confidence: 99%

“…12. 149 A few studies also focus on long-term catalyst performance and deactivation, 16,[109][110][111] some of those studies extending over 100 and 120 h. 109,110 By combining synchrotron-based IR and XAS measurement, as done by Gross et al 2014, 116 reactant depletion, product formation and changes in the catalyst during the reaction could be monitored. High-throughput characterization.…”

Section: Activity Of Supported Catalyst Nanoparticles In Microreactorsmentioning

confidence: 99%

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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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Section: Activity Of Supported Catalyst Nanoparticles In Microreactorsmentioning

confidence: 89%

Section: Activity Of Supported Catalyst Nanoparticles In Microreactorsmentioning

confidence: 99%

Section: Activity Of Supported Catalyst Nanoparticles In Microreactorsmentioning

confidence: 99%

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Microfluidics and catalyst particles

et al. 2019

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“…[ 60,68 ] This results in a major bottleneck inhibiting massive scale HT and prohibits self‐contained virtuous circles from being formed. Whilst many recent developments have increased the speed of analysis or enable in situ analysis, [ 190–194 ] these methods are still done on samples sequentially rather than concurrently where parallelizing these new methods would enable a substantial speed‐up of current HT workflows. Despite the ubiquity of robots employed for experimental interrogations of zeolites, linking HT synthesis to characterization and activity measurements still remains a significant challenge, demonstrated by the use of pre‐formed zeolites in characterization and activity workflows, preventing a “full‐cycle” synthesis–treatment–characterization–test workflow for a defined region of parameter space with minimal human input.…”

Section: Experimental High Throughput Methods For Zeolite Synthesis Amentioning

confidence: 99%

“…[60,68] This results in a major bottleneck inhibiting massive scale HT and prohibits self-contained virtuous circles from being formed. Whilst many recent developments have increased the speed of analysis or enable in situ analysis, [190][191][192][193][194] these methods are still done on samples sequentially rather than concurrently where parallelizing these new methods would enable a substantial speed-up of current HT workflows.…”

Section: Critical Remarksmentioning

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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