An effective toluene removal from waste‐air by a simple process based on absorption in silicone oil (PDMS) and cross‐linked Brassica rapa peroxidase (BRP‐CLEAs) catalysis in organic medium: Optimization with RSM - Université de Rennes Accéder directement au contenu
Article Dans Une Revue Environmental Progress & Sustainable Energy Année : 2020

An effective toluene removal from waste‐air by a simple process based on absorption in silicone oil (PDMS) and cross‐linked Brassica rapa peroxidase (BRP‐CLEAs) catalysis in organic medium: Optimization with RSM

Résumé

In the present study, absorption in an organic solvent followed by enzymatic biodegradation by cross-linked peroxidase from Brassica rapa (BRP-CLEAs) was successfully applied as a solution for toluene removal from waste-air in batch experiments. Silicone oil (PDMS 47V20) showed a high capacity for toluene absorption, regarding its air-PDMS partition coefficient (2.08 Pa m3 mol−1) when compared to air-water (666 Pa m3 mol−1). Box–Behnken restricted duplicate design was employed for the optimization of the enzymatic degradation of toluene in PDMS. Effects of four independent variables, namely, BRP-CLEAs activity, toluene and hydrogen peroxide concentrations and sonication, were studied by choosing two responses: conversion yield and initial rate of reaction. Analysis of the results showed that both hydrogen peroxide and toluene concentrations presented the largest effect on the process while sonication had no effect. On the other hand, the coefficient of determination R2 and the adjusted R2 were 0.828 and 0.770 for conversion and 0.919 and 0.911 for initial rate, respectively. The optimum conversion determined was 60% of toluene removal.
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hal-04128641 , version 1 (14-06-2023)

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Nassima Tandjaoui, Dominique Wolbert, Annabelle Couvert, Mahmoud Abouseoud, Abdeltif Amrane, et al.. An effective toluene removal from waste‐air by a simple process based on absorption in silicone oil (PDMS) and cross‐linked Brassica rapa peroxidase (BRP‐CLEAs) catalysis in organic medium: Optimization with RSM. Environmental Progress & Sustainable Energy, 2020, Special Section on Waste Valorization, 39 (4), pp.e13381. ⟨10.1002/ep.13381⟩. ⟨hal-04128641⟩
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