MoS2/N-TiO2/Ti mesh plate for visible-light photocatalytic ozonation of naproxen and industrial wastewater: comparative studies and artificial neural network modeling

Sheydaei M., Haseli A., Ayoubi-Feiz B., Vatanpour V.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, vol.29, no.15, pp.22454-22468, 2022 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 29 Issue: 15
  • Publication Date: 2022
  • Doi Number: 10.1007/s11356-021-17285-w
  • Page Numbers: pp.22454-22468
  • Keywords: Visible-light photocatalytic ozonation, MoS2, Nitrogen-doped TiO2, Electrophoretic deposition, Artificial neural network, Synergistic effect, AQUEOUS-SOLUTION, DEGRADATION, NANOCOMPOSITE, PHARMACEUTICALS, HETEROJUNCTION, ANTIBIOTICS, ENVIRONMENT, REMOVAL, ACID, FATE


This paper presents the results of visible-light assisted photocatalytic ozonation for the degradation of naproxen as a model pharmaceutical pollutant from water using MoS2/N-TiO2 immobilized on a titanium mesh plate in addition to treatment of a real industrial wastewater. The batch studies were performed for naproxen degradation by varying the reaction variables such as ozone flow rate, initial pH and pollutant concertation. It was observed that almost 90% degradation was achieved at pH = 4, ozone flow rate = 3 L min(-1) and initial naproxen concentration = 5 mg L-1. The catalyst exhibited constant activity even after seven successive cycles. Comparative studies among sorption, ozonation, photocatalysis, catalytic ozonation and photocatalytic ozonation revealed that the later process had the highest degradation of pollutant. Moreover, an artificial neural network (ANN) model was developed to simulate the performance of visible-light photocatalytic ozonation in naproxen degradation. The developed ANN model could estimate the visible-light photocatalytic ozonation process under the different experimental conditions. Finally, the applicability of the photocatalytic ozonation was successfully approved for industrial wastewater treatment. The results showed that the COD removal efficiency reached 65% within 150 min.