Kinetic and prediction modeling studies of organic pollutants removal from municipal wastewater using Moringa oleifera biomass as a coagulant

Bashir Adelodun, Matthew Segun Ogunshina, Fidelis Odedishemi Ajibade, Taofeeq Sholagberu Abdulkadir, Hashim Olalekan Bakare, Kyung Sook Choi

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

This study investigated the potential of Moringa oleifera (MO) seed biomass as a coagulant for the removal of turbidity, biochemical oxygen demand (BOD), and chemical oxygen demand (COD) of municipal wastewater. Triplicated laboratory experiments using MO coagulant added at varying treatment dosages of 50, 100, 150, 200 mg/L, and a control (0 mg/L) treatment were performed for a settling period of 250 min at room temperature. Kinetics and prediction variables of cumulative turbidity, BOD, and COD removal were estimated using simplified first order and modified Gompertz models. Results showed that the maximum removal of turbidity, BOD, and COD were 94.44%, 68.72%, and 57.61%, respectively, using an MO dose of 150 mg/L. Various kinetic parameters, such as rate constant (r), measured (REm) versus predicted (REp) cumulative removal, and specific pollutant removal rate (μm), were also maximum when an MO dose of 150 mg/L was added, the standard error being below 5%. The developed models were successfully validated over multiple observations. This study suggests low cost and sustainable removal of turbidity, BOD, and COD of municipal wastewater using MO seed biomass as a coagulant.

Original languageEnglish
Article number2052
JournalWater (Switzerland)
Volume12
Issue number7
DOIs
StatePublished - Jul 2020

Keywords

  • Kinetic studies
  • Moringa oleifera
  • Plant seed biomass
  • Predictionmodeling
  • Wastewater treatment

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