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Optimisation of greener and more efficient 1,7-octadiene epoxidation catalysed by a polymer-supported Mo(vi) complex via response surface methodology

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Optimisation of greener and more efficient 1,7-octadiene epoxidation catalysed by a polymer-supported Mo(vi) complex via response surface methodology. / Bhuiyan, Md Masud Rana; Saha, Basu.
In: Reaction Chemistry and Engineering, Vol. 9, No. 5, D3RE00461A, 01.05.2024, p. 1036-1046.

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Bhuiyan MMR, Saha B. Optimisation of greener and more efficient 1,7-octadiene epoxidation catalysed by a polymer-supported Mo(vi) complex via response surface methodology. Reaction Chemistry and Engineering. 2024 May 1;9(5):1036-1046. D3RE00461A. Epub 2024 Feb 28. doi: 10.1039/d3re00461a

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@article{d569dac8554a42c494749da73f3afd63,
title = "Optimisation of greener and more efficient 1,7-octadiene epoxidation catalysed by a polymer-supported Mo(vi) complex via response surface methodology",
abstract = "In this study, a greener and more efficient alkene epoxidation process has been developed using a heterogeneous polybenzimidazole supported Mo(VI) catalyst and tert-butyl hydroperoxide (TBHP) as an oxidising reagent. Polybenzimidazole supported Mo(VI) complex, i.e., PBI.Mo has been prepared, characterised, and evaluated successfully. Batch epoxidation experiments have been carried out in a jacketed stirred batch reactor to evaluate the catalytic activity and stability of PBI.Mo catalyst for the epoxidation of 1,7-octadiene. The suitability and efficiency of the catalyst have been compared by studying the effect of four independent factors such as reaction temperature, the feed mole ratio of 1,7-octadiene to TBHP, catalyst loading, and reaction time on the yield of 1,2-epoxy-7-octene for optimisation of reaction conditions. Response surface methodology (RSM) using Box-Behnken Design (BBD) was employed for designing experimental runs and studying the interaction effect of different variables on the reaction response. A quadratic regression model has been developed representing an empirical relationship between reaction variables and response. To determine the adequacy of the predicted model, numerous statistical validation techniques including analysis of variance (ANOVA) have been applied at a 95% confidence level. The numerical optimisation technique concluded that the maximum yield that can be reached is 66.22% at a feed molar ratio of 7.97:1, reaction temperature of 347 K, 0.417 mol% catalyst loading, and reaction time of 218 min. The predicted optimal conditions have been validated experimentally with a 1.92% relative error.",
keywords = "1,7-octadiene, epoxidation, polymer-supported Mo(VI) complex, PBI.Mo catalyst, tert-butyl hydroperoxide (TBHP), 1,2-epoxy-7-octene, Response surface methodology (RSM), Box-Behnken Design (BBD), Analysis of variance (ANOVA), optimal conditions, Validation",
author = "Bhuiyan, {Md Masud Rana} and Basu Saha",
year = "2024",
month = may,
day = "1",
doi = "10.1039/d3re00461a",
language = "English",
volume = "9",
pages = "1036--1046",
journal = "Reaction Chemistry and Engineering",
issn = "2058-9883",
publisher = "Royal Society of Chemistry",
number = "5",

}

RIS

TY - JOUR

T1 - Optimisation of greener and more efficient 1,7-octadiene epoxidation catalysed by a polymer-supported Mo(vi) complex via response surface methodology

AU - Bhuiyan, Md Masud Rana

AU - Saha, Basu

PY - 2024/5/1

Y1 - 2024/5/1

N2 - In this study, a greener and more efficient alkene epoxidation process has been developed using a heterogeneous polybenzimidazole supported Mo(VI) catalyst and tert-butyl hydroperoxide (TBHP) as an oxidising reagent. Polybenzimidazole supported Mo(VI) complex, i.e., PBI.Mo has been prepared, characterised, and evaluated successfully. Batch epoxidation experiments have been carried out in a jacketed stirred batch reactor to evaluate the catalytic activity and stability of PBI.Mo catalyst for the epoxidation of 1,7-octadiene. The suitability and efficiency of the catalyst have been compared by studying the effect of four independent factors such as reaction temperature, the feed mole ratio of 1,7-octadiene to TBHP, catalyst loading, and reaction time on the yield of 1,2-epoxy-7-octene for optimisation of reaction conditions. Response surface methodology (RSM) using Box-Behnken Design (BBD) was employed for designing experimental runs and studying the interaction effect of different variables on the reaction response. A quadratic regression model has been developed representing an empirical relationship between reaction variables and response. To determine the adequacy of the predicted model, numerous statistical validation techniques including analysis of variance (ANOVA) have been applied at a 95% confidence level. The numerical optimisation technique concluded that the maximum yield that can be reached is 66.22% at a feed molar ratio of 7.97:1, reaction temperature of 347 K, 0.417 mol% catalyst loading, and reaction time of 218 min. The predicted optimal conditions have been validated experimentally with a 1.92% relative error.

AB - In this study, a greener and more efficient alkene epoxidation process has been developed using a heterogeneous polybenzimidazole supported Mo(VI) catalyst and tert-butyl hydroperoxide (TBHP) as an oxidising reagent. Polybenzimidazole supported Mo(VI) complex, i.e., PBI.Mo has been prepared, characterised, and evaluated successfully. Batch epoxidation experiments have been carried out in a jacketed stirred batch reactor to evaluate the catalytic activity and stability of PBI.Mo catalyst for the epoxidation of 1,7-octadiene. The suitability and efficiency of the catalyst have been compared by studying the effect of four independent factors such as reaction temperature, the feed mole ratio of 1,7-octadiene to TBHP, catalyst loading, and reaction time on the yield of 1,2-epoxy-7-octene for optimisation of reaction conditions. Response surface methodology (RSM) using Box-Behnken Design (BBD) was employed for designing experimental runs and studying the interaction effect of different variables on the reaction response. A quadratic regression model has been developed representing an empirical relationship between reaction variables and response. To determine the adequacy of the predicted model, numerous statistical validation techniques including analysis of variance (ANOVA) have been applied at a 95% confidence level. The numerical optimisation technique concluded that the maximum yield that can be reached is 66.22% at a feed molar ratio of 7.97:1, reaction temperature of 347 K, 0.417 mol% catalyst loading, and reaction time of 218 min. The predicted optimal conditions have been validated experimentally with a 1.92% relative error.

KW - 1,7-octadiene

KW - epoxidation

KW - polymer-supported Mo(VI) complex

KW - PBI.Mo catalyst

KW - tert-butyl hydroperoxide (TBHP)

KW - 1,2-epoxy-7-octene

KW - Response surface methodology (RSM)

KW - Box-Behnken Design (BBD)

KW - Analysis of variance (ANOVA)

KW - optimal conditions

KW - Validation

U2 - 10.1039/d3re00461a

DO - 10.1039/d3re00461a

M3 - Journal article

VL - 9

SP - 1036

EP - 1046

JO - Reaction Chemistry and Engineering

JF - Reaction Chemistry and Engineering

SN - 2058-9883

IS - 5

M1 - D3RE00461A

ER -