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Journal Articles Nature Environment and Pollution Technology Year : 2017

Phenol removal by a sequential combined fenton-enzymatic process

A. Azizi
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M. Abouseoud
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A. Amrane
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A two-stage process for the treatment of phenol by Fenton reaction coupled with enzymatic polymerization was investigated. The study was conducted on synthetic and industrial wastewaters containing phenol. The pretreatment of this effluent was carried out by the Fenton's reaction followed by enzymatic treatment with immobilized turnip peroxidase. Results showed that enzymatic treatment was an efficient complementary process to eliminate toxic compounds that were generated by the Fenton radical oxidation. Both processes were performed under optimal conditions, starting from a concentrated phenol solution of 100 mg L-1 which was pretreated by the Fenton reaction during 120 minutes at pH 3 and 40°C, in the presence of iron(II) (5 mg L-1) and hydrogen peroxide 9mM. Phenol concentration after the Fenton treatment decreased to 40 mg L-1. Other compounds such as hydroquinone, catechol and benzoquinone were also present. Residual phenol, catechol and hydroquinone were eliminated by the immobilized turnip peroxidase treatment at pH 7 and 40°C, during 165 minutes by adding H2O2 (10.6 mM) and 5 U of immobilized peroxidase. Benzoquinone was eliminated by coagulation-precipitation with chitosan (4g L-1). The global phenol removal by the combined process was 99.7% with almost total elimination of catechol, hydroquinone and benzoquinone. The application of the combined treatment to a pharmaceutical effluent containing initially 56 mg L-1 of phenol was also successful. More than 99.3% of phenol was eliminated after 120 and 165 minutes of Fenton and enzymatic processes, consecutively; and more than 72% decrease in COD and 66.7% in BOD5 were obtained.
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Dates and versions

hal-01515147 , version 1 (27-04-2017)


  • HAL Id : hal-01515147 , version 1


A. Azizi, M. Abouseoud, A. Amrane. Phenol removal by a sequential combined fenton-enzymatic process. Nature Environment and Pollution Technology, 2017, 16, pp.321--330. ⟨hal-01515147⟩
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