Cyclic Voltammetric Studies on Electrocatalytic Reduction of Bisulfite in Aqueous Buffered Solutions Using a Myoglobin / Surfactant Film Electrode
Abdelatty Mohamed Radalla,
Michael Dennis Ryan
Issue:
Volume 10, Issue 6, November 2022
Pages:
116-120
Received:
19 October 2022
Accepted:
3 November 2022
Published:
8 December 2022
DOI:
10.11648/j.ajche.20221006.11
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Abstract: Background: The surfactant, didodecyl dimethyl ammonium bromide (DDAB), was used to immobilize myoglobin (Mb) onto glassy carbon (GC) electrode surfaces. The Mb/DDAB film on GC electrode showed good charge transport rates. Objectives: Mb in DDAB was utilised as a redox catalyst for reduction reactions requiring multi-electron transfers. Cyclic voltammetry has proved the Mb modified film electrode to be an effective electrocatalyst for the multi-electron reduction of bisulfite in aqueous buffered solutions. Methods: Using cyclic voltammetry technique, bisulfite reduction was studied at various concentrations and scan rates in different aqueous buffer solutions of various pH. Results: The values of ks of the film and kcat of the catalytic reaction of bisulfite were obtained at different pH values. The variation in the catalytic rate constant values with pH confirmed that the bisulfite is the reactive species. Conclusions: The catalytic bisulfite reduction was an irreversible, diffusion-controlled, and pH dependent process. The reduction of bisulfite by the Mb/DDAB film followed the EC’ catalytic mechanism.
Abstract: Background: The surfactant, didodecyl dimethyl ammonium bromide (DDAB), was used to immobilize myoglobin (Mb) onto glassy carbon (GC) electrode surfaces. The Mb/DDAB film on GC electrode showed good charge transport rates. Objectives: Mb in DDAB was utilised as a redox catalyst for reduction reactions requiring multi-electron transfers. Cyclic volt...
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Trichloroethylene Stripping Column Optimal Design by Genetic Algorithm and Multicriteria Decision-Making Strategies
Adama Ouattara,
Kouacou Koimbla Francine,
Yao Kouassi Benjamin
Issue:
Volume 10, Issue 6, November 2022
Pages:
121-130
Received:
25 October 2022
Accepted:
15 November 2022
Published:
15 December 2022
DOI:
10.11648/j.ajche.20221006.12
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Abstract: The optimization of stripping processes requires the simulation of correlations for a preliminary analysis of the system behavior while avoiding complex, costly, and time-consuming manipulations on a reduced scale. This study gives a suitable strategy while selecting stripping column packings. The strategic use of the genetic algorithm NGSAIIb allowed for solving the optimization problems based on environmental and technical-economic criteria of the Trichloroethylene (TCE) stripping column. For that, a numerical procedure was developed on MATLAB software. Then MATLAB software was linked by the mean of the COM protocol to the Multigen library that is an add-in for Microsoft Excel. In the developed strategy the decision-making method, TOPSIS is considered to compare four random packings (Flexiring), (Rashig ring), structured packings (Mellapak Y250), and (Sulzer BX). After the implementation of the strategy on all the packings, the Sulzer BX structured packing was selected as the best one. This section was based on two decision criteria that are, the TCE removal rate of 99.99% and the ratio of the liquid flow to the gas flow of 44.38%. The study shows that the Sulzer BX packing is the least expensive and promotes increased mass transfer and low total column pressure drop. The analysis of the evolution of the mass transfer coefficient according to the liquid flow rate showed that an efficient stripping column must have a ratio of the liquid flow to the gas flow rate strictly lower than 50%.
Abstract: The optimization of stripping processes requires the simulation of correlations for a preliminary analysis of the system behavior while avoiding complex, costly, and time-consuming manipulations on a reduced scale. This study gives a suitable strategy while selecting stripping column packings. The strategic use of the genetic algorithm NGSAIIb allo...
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