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Optimization of Malachite Green Removal from Water by TiO₂ Nanoparticles under UV Irradiation.

ABSTRACT: TiO₂ nanoparticles with surface porosity were prepared by a simple and efficient method and presented for the removal of malachite green (MG), a representative organic pollutant, from aqueous solution. Photocatalytic degradation experiments were systematically conducted to investigate the influence of TiO₂ dosage, pH value, and initial concentrations of MG. The kinetics of the reaction were monitored via UV spectroscopy and the kinetic process can be well predicted by the pseudo first-order model. The rate constants of the reaction kinetics were found to decrease as the initial MG concentration increased; increased via elevated pH value at a certain amount of TiO₂ dosage. The maximum efficiency of photocatalytic degradation was obtained when the TiO₂ dosage, pH value and initial concentrations of MG were 0.6 g/L, 8 and 10−5 mol/L (M), respectively. Results from this study provide a novel optimization and an efficient strategy for water pollutant treatment.

SUBMITTER: Ma Y

PROVIDER: S-EPMC6027246 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Optimization of Malachite Green Removal from Water by TiO₂ Nanoparticles under UV Irradiation.

Ma Yongmei Y Ni Maofei M Li Siyue S

Nanomaterials (Basel, Switzerland) 20180613 6

TiO₂ nanoparticles with surface porosity were prepared by a simple and efficient method and presented for the removal of malachite green (MG), a representative organic pollutant, from aqueous solution. Photocatalytic degradation experiments were systematically conducted to investigate the influence of TiO₂ dosage, pH value, and initial concentrations of MG. The kinetics of the reaction were monitored via UV spectroscopy and the kinetic process can be well predicted by the pseudo first-order mode ...[more]

PMID: 29899235

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