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The results showed phenol removal of up to 95%.
Biomass growth and phenol removal were adequately predicted in all the cultures.
The relationship of these parameters on phenol removal efficiency is statistically evaluated using analysis of variance.
The ANOVA analysis also reveals that turbidity has no effect on phenol removal efficiency.
The membrane filtration integrated with photoelectrocatalysis (PECM) showed enhanced phenol removal with the increase of voltage supply.
A central composite design was used to study the effect flow rate, temperature and H2O2 concentration on phenol removal.
An efficiency of about 80% was attained in phenol removal in the best of the operational conditions assayed.
The calculated results obtained from above equation were in good agreement with experimental data especially at higher phenol removal efficiency.
The relationship of these parameters on the phenol removal efficiency was also statistically evaluated using a two-level factorial design.
Sorption was obeyed to pseudo-second order and signified that cationization process accelerates the phenol removal process.
Phenol removal and recovery from wastewaters are highly demanded in industries due to its high toxicity and industrial importance.
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CEO of Professional Science Editing for Scientists @ prosciediting.com