Literature DB >> 26744933

Enzymatic oxidation of phenolic compounds in coffee processing wastewater.

Juliana Arriel Torres1, Pricila Maria Batista Chagas1, Maria Cristina Silva2, Custódio Donizete dos Santos1, Angelita Duarte Corrêa1.   

Abstract

Peroxidases can be used in the treatment of wastewater containing phenolic compounds. The effluent from the wet processing of coffee fruits contains high content of these pollutants and although some studies propose treatments for this wastewater, none targets specifically the removal of these recalcitrant compounds. This study evaluates the potential use of different peroxidase sources in the oxidation of caffeic acid and of total phenolic compounds in coffee processing wastewater (CPW). The identification and quantification of phenolic compounds in CPW was performed and caffeic acid was found to be the major phenolic compound. Some factors, such as reaction time, pH, amount of H2O2 and enzyme were evaluated, in order to determine the optimum conditions for the enzyme performance for maximum oxidation of caffeic acid. The turnip peroxidase (TPE) proved efficient in the removal of caffeic acid, reaching an oxidation of 51.05% in just 15 minutes of reaction. However, in the bioremediation of the CPW, the horseradish peroxidase (HRP) was more efficient with 32.70%±0.16 of oxidation, followed by TPE with 18.25%±0.11. The treatment proposed in this work has potential as a complementary technology, since the efficiency of the existing process is intimately conditioned to the presence of these pollutants.

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Year:  2016        PMID: 26744933     DOI: 10.2166/wst.2015.332

Source DB:  PubMed          Journal:  Water Sci Technol        ISSN: 0273-1223            Impact factor:   1.915


  1 in total

1.  Δ-FeOOH as Support for Immobilization Peroxidase: Optimization via a Chemometric Approach.

Authors:  Tássia Silva Tavares; Eduardo Pereira da Rocha; Francisco Guilherme Esteves Nogueira; Juliana Arriel Torres; Maria Cristina Silva; Kamil Kuca; Teodorico C Ramalho
Journal:  Molecules       Date:  2020-01-08       Impact factor: 4.411

  1 in total

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