Optimisation of the operational conditions of trichloroethylene degradation using Trametes versicolor under quinone redox cycling conditions using central composite design methodology

Marcel Vilaplana, Ana Belén García, Gloria Caminal, Francisco Guillén, Montserrat Sarrà

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

Extracellular radicals produced by Trametes versicolor under quinone redox cycling conditions can degrade a large variety of pollutant compounds, including trichloroethylene (TCE). This study investigated the effect of the agitation speed and the gas-liquid phase volume ratio on TCE degradation using central composite design (CCD) methodology for a future scale-up to a reactor system. The agitation speed ranged from 90 to 200 rpm, and the volume ratio ranged from 0.5 to 4.4. The results demonstrated the important and positive effect of the agitation speed and an interaction between the two factors on TCE degradation. Although the volume ratio did not have a significant effect if the agitation speed value was between 160 and 200 rpm, at lower speed values, the specific pollutant degradation was clearly more extensive at low volume ratios than at high volume ratios. The fitted response surface was validated by performing an experiment using the parameter combination in the model that maximised TCE degradation. The results of the experiments carried out using different biomass concentrations demonstrated that the biomass concentration had a positive effect on pollutant degradation if the amount of biomass present was lower than 1.6 g dry weight l -1. The results show that the maximum TCE degradation was obtained at the highest speed (200 rpm), gas-liquid phase volume ratio (4.4), and a biomass concentration of 1.6 g dry weight l -1. © 2011 Springer Science+Business Media B.V.
Original languageEnglish
Pages (from-to)333-341
JournalBiodegradation
Volume23
DOIs
Publication statusPublished - 1 Apr 2012

Keywords

  • Hydroxyl radicals
  • Scale-up
  • Surface response methodology
  • White-rot fungi

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