EFFICACY OF EICHHORNIA CRASSIPES, PISTIA STRATIOTES AND NYMPHAEA LOTUS IN THE BIOSORPTION OF NICKEL FROM REFINERY WASTEWATER

The invasive nature of Eichhornia crassipes, Pistia stratiotes, and Nymphaea lotus is worrisome because they tend to dominate the economic and ecological region of the aquatic environment, hence the need for their eco-friendly utilization. This research is aimed at assessing the efficacy of Eichhornia crassipes, Pistia stratiotes and Nymphaea lotus as a low-cost absorbent for the biosorption of Nickel (Ni) from refinery wastewater. Refinery wastewater was collected from the effluent point of Kaduna Refining and Petrochemical Company (KRPC). The selected macrophytes were characterized using Fourier transform infrared (FTIR) spectroscopy. Biosorption of Ni from the wastewater and aqueous Ni solution was performed under factors such as contact time, particle size, absorbent dosage, pH and Ni concentration. The Langmuir equation and Freundlich isothermal were used in determining absorption equilibrium while pseudo-first and pseudo-second-order were used to determined adsorption kinetics. The result obtained shows that Ni absorption by the selected macrophytes is greatly influenced by contact time, particle size, absorbent dosage, pH and Ni concentration with high efficiency recorded in the removal of Ni from refinery wastewater. Both Langmuir equation and Freundlich isothermal gives a nearly perfect fitting for adsorption of Ni for all the selected macrophytes signifying favorable Ni absorption. Pseudo-second-order kinetic model gives nearly perfect fitting than the pseudo secondorder kinetic model signifying that adsorption of Ni by the selected macrophytes is due to the physical and chemical reaction. The selected macrophyte can be effectively utilized as low-cost biosorbents for the removal of Ni from Refinery wastewater.

• Publication year

  2019

• Venue

  Applied Ecology and Environmental Research

• Publication date

  Unknown publication date

• Fields of study

  Chemistry, Environmental Science

• Identifiers
  DOI 10.15666/aeer/1706_1307513087
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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