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Degradation and mineralization of phenol compounds with goethite catalyst and mineralization prediction using artificial intelligence.

Tisa F, Davoody M, Abdul Raman AA, Daud WM - PLoS ONE (2015)

Bottom Line: The efficiency of phenol degradation via Fenton reaction using mixture of heterogeneous goethite catalyst with homogeneous ferrous ion was analyzed as a function of three independent variables, initial concentration of phenol (60 to 100 mg /L), weight ratio of initial concentration of phenol to that of H2O2 (1: 6 to 1: 14) and, weight ratio of initial concentration of goethite catalyst to that of H2O2 (1: 0.3 to 1: 0.7).Two separate models were developed using artificial neural networks to predict degradation percentage by a combination of Fe3+ and Fe2+ catalyst.Satisfactory agreement was observed between testing data and the predicted values (R2Phenol = 0.9214 and R2TOC= 0.9082).

View Article: PubMed Central - PubMed

Affiliation: Department of Chemical Engineering, Faculty of Engineering, University of Malaya,50603 Kuala Lumpur, Malaysia.

ABSTRACT
The efficiency of phenol degradation via Fenton reaction using mixture of heterogeneous goethite catalyst with homogeneous ferrous ion was analyzed as a function of three independent variables, initial concentration of phenol (60 to 100 mg /L), weight ratio of initial concentration of phenol to that of H2O2 (1: 6 to 1: 14) and, weight ratio of initial concentration of goethite catalyst to that of H2O2 (1: 0.3 to 1: 0.7). More than 90 % of phenol removal and more than 40% of TOC removal were achieved within 60 minutes of reaction. Two separate models were developed using artificial neural networks to predict degradation percentage by a combination of Fe3+ and Fe2+ catalyst. Five operational parameters were employed as inputs while phenol degradation and TOC removal were considered as outputs of the developed models. Satisfactory agreement was observed between testing data and the predicted values (R2Phenol = 0.9214 and R2TOC= 0.9082).

No MeSH data available.


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Degradation trend for all experimental conditions (a) Phenol conversion, (b) TOC removal.
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pone.0119933.g002: Degradation trend for all experimental conditions (a) Phenol conversion, (b) TOC removal.

Mentions: Fig. 2 shows the experimental results in dimensionless concentrations vs. time for experimental runs 90% phenol conversion [phenol: H2O2 = 1: 6 or 1: 10 or 1: 14] was observed in the experiment. An increase in phenol degradation was attained with time on average. It is quite notable that even though there was a significant decrease in phenol concentration in the solution with time, the same degradation rate was not observed for TOC of the solution. This incidence can be related to noticeable increase in intermediate products (maleic acid, benzoquinone, hydroquinone etc) [35]. Choi J-S, Yoon S-S, Jang S-H, Ahn W-S, investigated the initiation phase for phenol hydroxylation using Fe containing catalysts and the result depicted that it occurred during the first 5–15 min [36], which was also the time required for reaction (6) to (8) to take place. Hydroxylation progressed via a redox mechanism involving Fe (III)/ Fe (II) redox pair [36].


Degradation and mineralization of phenol compounds with goethite catalyst and mineralization prediction using artificial intelligence.

Tisa F, Davoody M, Abdul Raman AA, Daud WM - PLoS ONE (2015)

Degradation trend for all experimental conditions (a) Phenol conversion, (b) TOC removal.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4388832&req=5

pone.0119933.g002: Degradation trend for all experimental conditions (a) Phenol conversion, (b) TOC removal.
Mentions: Fig. 2 shows the experimental results in dimensionless concentrations vs. time for experimental runs 90% phenol conversion [phenol: H2O2 = 1: 6 or 1: 10 or 1: 14] was observed in the experiment. An increase in phenol degradation was attained with time on average. It is quite notable that even though there was a significant decrease in phenol concentration in the solution with time, the same degradation rate was not observed for TOC of the solution. This incidence can be related to noticeable increase in intermediate products (maleic acid, benzoquinone, hydroquinone etc) [35]. Choi J-S, Yoon S-S, Jang S-H, Ahn W-S, investigated the initiation phase for phenol hydroxylation using Fe containing catalysts and the result depicted that it occurred during the first 5–15 min [36], which was also the time required for reaction (6) to (8) to take place. Hydroxylation progressed via a redox mechanism involving Fe (III)/ Fe (II) redox pair [36].

Bottom Line: The efficiency of phenol degradation via Fenton reaction using mixture of heterogeneous goethite catalyst with homogeneous ferrous ion was analyzed as a function of three independent variables, initial concentration of phenol (60 to 100 mg /L), weight ratio of initial concentration of phenol to that of H2O2 (1: 6 to 1: 14) and, weight ratio of initial concentration of goethite catalyst to that of H2O2 (1: 0.3 to 1: 0.7).Two separate models were developed using artificial neural networks to predict degradation percentage by a combination of Fe3+ and Fe2+ catalyst.Satisfactory agreement was observed between testing data and the predicted values (R2Phenol = 0.9214 and R2TOC= 0.9082).

View Article: PubMed Central - PubMed

Affiliation: Department of Chemical Engineering, Faculty of Engineering, University of Malaya,50603 Kuala Lumpur, Malaysia.

ABSTRACT
The efficiency of phenol degradation via Fenton reaction using mixture of heterogeneous goethite catalyst with homogeneous ferrous ion was analyzed as a function of three independent variables, initial concentration of phenol (60 to 100 mg /L), weight ratio of initial concentration of phenol to that of H2O2 (1: 6 to 1: 14) and, weight ratio of initial concentration of goethite catalyst to that of H2O2 (1: 0.3 to 1: 0.7). More than 90 % of phenol removal and more than 40% of TOC removal were achieved within 60 minutes of reaction. Two separate models were developed using artificial neural networks to predict degradation percentage by a combination of Fe3+ and Fe2+ catalyst. Five operational parameters were employed as inputs while phenol degradation and TOC removal were considered as outputs of the developed models. Satisfactory agreement was observed between testing data and the predicted values (R2Phenol = 0.9214 and R2TOC= 0.9082).

No MeSH data available.


Related in: MedlinePlus