Evaluating oil removal by amphiphilic cellulose acetate-MoS2 in a flow
through reactor and artificial neural network
The amphiphilic Janus-like CA-MoS2 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 CA-MoS2 fibrous sponge in a one
pass flow through reactor was examined under different flow rate, 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).
Artificial neural networking (ANN) was developed to optimized the oil
removal. The trained ANN was used to predict the oil removal of two new
conditions. This study provides the basis for the development of an
efficient material that can treat large volume of dilute oil containing
wastewater for water reuse.