Evaluating oil removal by amphiphilic MoS2/cellulose acetate fibrous sponge in a flow-through reactor and by artificial neural network

Kavitha Thangavelu, Linda Zou

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

The amphiphilic Janus-like molybdenum disulfide/cellulose acetate (MoS2/CA) fibrous sponges were synthesized and employed to remove oil from wastewater. The efficiency of treating 100 L of emulsion containing 10 mg/L of oil by MoS2/CA fibrous sponge in a one-pass flow-through reactor was examined under different flow rates, pH, and temperature conditions. The oil concentrations in the treated effluent were all below the industrial discharge requirement of 5 mg/L. The spent sponges were successfully regenerated and reused in multiple cycles. It was found that the adsorption of oil followed the Langmuir adsorption isotherm (R2 = 0.988) and pseudo-second-order kinetic (R2 = 0.995). The hydrophobic/oleophilic MoS2 component of the MoS2/CA sponges was responsible for oil removal while its hydrophilic CA component allowed the material to be stable in the water. Artificial neural networking (ANN) was developed to optimize oil removal. The trained ANN was used to predict the oil removal of two new conditions. This study proved that our Janus-like MoS2/CA sponge was both surfaces active and amphiphilic so can reach the targeted oil droplets in water. These findings provided the basis for the development of an efficient material that can treat large volumes of dilute oil-containing wastewater for water reuse.

Original languageBritish English
Article number100684
JournalEnvironmental Nanotechnology, Monitoring and Management
Volume18
DOIs
StatePublished - Dec 2022

Keywords

  • Amphiphilic
  • Artificial neural network
  • Continuous removal
  • Isotherm, And kinetics
  • MoS/CA fibrous sponges

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