Influence of acid-metal functions on product distribution in valorization of biomass-derived acetone and catalysts’ deactivation behaviour

Jadon, Tarun Pratap Singh; Jana, Arun Kumar; Parikh, Parimal A.

doi:10.1007/s13399-019-00492-4

Cited by 4 publications

(5 citation statements)

References 27 publications

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“…The usefulness of the parameter, conversion capacity in ranking the catalysts is further evident from Table 1 which shows the values of the ratio of rate constants for main reaction and deactivation reaction for three catalysts studied by us earlier for the reaction of acetone hydrogenation at 1 atm pressure 13 . There we had reported conversion as a function of time‐on‐stream data for three catalysts exhibiting gradually improved catalytic performance and life.…”

Section: Example Calculations and Interpretationsmentioning

confidence: 67%

Comparison of catalyst life and performance employing the conversion capacity concept

Parikh¹,

Parikh²,

Parikh

2021

Int J of Chemical Kinetics

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Researchers frequently come across catalyst performance reported as either conversion or rate of reaction as a function of time on stream. When different publications reported data in different manners, comparison of the performance of even similar catalysts becomes difficult. The same situation arises when catalytic behavior is shown at different space velocities. This is because catalyst deactivation characteristics depend on space velocity in addition to rate constants for the main chemical reaction as well as the deactivation process. To circumvent this difficulty, we have furthered the concept of conversion capacity originally brought out by Janssens (J. Catal., 2009;264:130–137) for methanol/dimethyl ether conversions. Conversion capacity was defined by him as the maximum amount of the reactant converted by the time the catalyst affords zero conversion. He developed equations for the first‐order main‐ and deactivation‐ reaction. However, many reactions of practical importance are of order two. We have developed expressions for the second‐order reactions to determine conversion capacity and also the time required for reaching 50% of the initial conversion, t0.5 for the reaction occurring in a plug flow reactor. Here we have given the example calculations for conversion capacity for the reaction of methane tri‐reforming taking data from two different published articles reporting conversion and rate of reaction as a function of time‐on‐stream. We further show the usefulness of these two parameters as giving information not only on the life of the catalysts but also their relative catalytic performance by drawing parallels between reported information and values determined here. Still, a word of caution is necessary. Expression for rate versus time on stream is valid for a linear relationship. Also, values of conversion capacity and t0.5 obtained by expressions given here are qualitative in nature and should be used for comparison purposes rather than attaching any physical significance to them.

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Section: Example Calculations and Interpretationsmentioning

confidence: 67%

Comparison of catalyst life and performance employing the conversion capacity concept

Parikh¹,

Parikh²,

Parikh

2021

Int J of Chemical Kinetics

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“…34 This type of deactivation model is appropriate for systems with fast catalyst deactivation such as uidized catalytic cracking catalysts [35][36][37][38] and catalyst used for biofuel from biomass fermentation. 39 The catalyst activity depends more on the effect of the deactivation rate over time, than on the temperature and reactant concentrations.…”

Section: Time Dependent Catalyst Deactivation Modelmentioning

confidence: 99%

“…42 a = exp(−k d t)Pd/MWCNT + HZSM-5 5 h Plug ow reactor Biofuel: biomass fermentation Jadon et al39 a TOS: time-on-stream. b Not reported.…”

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confidence: 99%

The mathematical catalyst deactivation models: a mini review

Shakor

Al-Shafei

2023

RSC Adv.

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“…[18] Noble metals are known to be efficient in hydrogenation reactions, however, their high cost has stimulated the search for cheaper alternatives, such as Ni [9,19,20] and Cu. [9,[21][22][23][24] For gas-phase MIBK production, Waters et al [9] compared various metal/carbon catalysts for the hydrogenation step and ordered the catalytic performance of the metals in the sequence Pt > Pd > Ni > Cu. The Cu catalyst produced most coke of the examined catalysts and only high loading of Ni yielded similar catalytic performance as the most active Pt catalyst with low metal loading.…”

Section: Introductionmentioning

confidence: 99%

“…Many different supports have been applied as catalysts for the two first steps in the MIBK production, whereas the preferred metals chosen for the hydrogenation step have been noble metals, such as Pd, [2–14] Pt, [9,15–17] and Rh [18] . Noble metals are known to be efficient in hydrogenation reactions, however, their high cost has stimulated the search for cheaper alternatives, such as Ni [9,19,20] and Cu [9,21–24] …”

Section: Introductionmentioning

confidence: 99%

Copper Supported on Ceria Mesocellular Foam Silica as an Effective Catalyst for Reductive Condensation of Acetone to Methyl Isobutyl Ketone

2022

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Copper-containing materials based on Ce-and Ca-Nb-mesocellular foam (MCF) silica supports are prepared, characterized and applied as catalysts for gas-phase reductive condensation of acetone to produce methyl isobutyl ketone (MIBK). The properties of the materials, the interaction of metal species, and their role in the catalytic process are examined by nitrogen physisorption, XRD, XPS, CO 2 -TPD, H 2 -TPR, and chemisorption of NO and pyridine combined with FTIR spectroscopy. A syner-gistic interaction of Cu 2 + , Cu 0 , and CeO 2 species incorporated in the MCF support enable the Cu/Ce-MCF catalyst to yield 34 % of acetone conversion with over 90 % MIBK selectivity at 250 °C. Moreover, this high catalyst selectivity is maintained during operation for 24 h despite a decline in catalyst activity. The catalytic performance is superior to that of hydroxyapatitesupported Cu and similar previously reported Pd-containing catalysts.

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Influence of acid-metal functions on product distribution in valorization of biomass-derived acetone and catalysts’ deactivation behaviour

Cited by 4 publications

References 27 publications

Comparison of catalyst life and performance employing the conversion capacity concept

Comparison of catalyst life and performance employing the conversion capacity concept

The mathematical catalyst deactivation models: a mini review

Copper Supported on Ceria Mesocellular Foam Silica as an Effective Catalyst for Reductive Condensation of Acetone to Methyl Isobutyl Ketone

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