Stability of emulsion liquid membrane using bifunctional diluent and blended nonionic surfactant for phenol removal

2020 ◽  
Vol 148 ◽  
pp. 107790 ◽  
Author(s):  
Muhammad Bukhari Rosly ◽  
Norela Jusoh ◽  
Norasikin Othman ◽  
Hilmi Abdul Rahman ◽  
Raja Norimie Raja Sulaiman ◽  
...  
Keyword(s):  
Nonionic Surfactant ◽  
Liquid Membrane ◽  
Phenol Removal ◽  
Emulsion Liquid Membrane ◽  
Stability Of Emulsion

Design of Intelligent Network to Predicate Phenol Removal from Waste Water by Emulsion Liquid Membrane

2021 ◽  
Vol 1021 ◽  
pp. 115-128
Author(s):  
Suheila Abd Alreda Akkar ◽  
Sawsan Abd Muslim Mohammed
Keyword(s):  
Neural Network ◽  
Liquid Membrane ◽  
Mean Squared Error ◽  
Back Propagation ◽  
Volume Ratio ◽  
Phenol Removal ◽  
Acid Extraction ◽  
Training Algorithms ◽  
Membrane Phase ◽  
Emulsion Liquid Membrane

This research introduced Intelligent Network's proposed design for predicting efficiency in the removal of phenol from wastewater by liquid membrane emulsion. In the inner phase of W / O emulsions, phenol extraction from an aqueous solution was investigated using emulsion liquid membrane prepared with kerosene as a membrane phase, Span 80 as a surfactant, and NaOH as a stripping agent. Experiments were conducted to investigate the effect of three emulsion composition variables, namely: surfactant concentration, membrane phase to-internal (VM / VI) volume ratio, and removal phase concentration in the internal phase, and two process parameters, feed phase agitation speed at organic acid extraction rates, and emulsion-to-feed volume ratio (VE / VF). More than 98% of phenol can be extracted in less than 5 minutes. This article describes compares the performance of different learning algorithms such as GD, RB, GDM, GDX, CG, and LM to predict the efficiency of phenol removal from wastewater through the liquid emulsion membrane. The proposed neural network consisted of (7, 11, 1) neurons in the input , hidden and output layers respectively feed forward ANN with various types of back propagation training algorithms were developed to model the emulsion liquid membrane removal of phenols. The values predicted for the neural network model are found in close agreement with the results of the batch experiment using MATLAB program with a correlation coefficient ( R2) of 0.999 and Mean Squared Error (MSE) of 0.004.

scholarly journals Formation and Stability Study of Nano-Emulsions: BTX- Separation

2009 ◽  
Vol 3 (1) ◽  
pp. 33-40 ◽  
Author(s):  
Jaydeep M. Barad ◽  
Mousumi Chakraborty ◽  
Hans-Jörg Bart
Keyword(s):  
Liquid Membrane ◽  
Stability Study ◽  
Liquid Membranes ◽  
Feed Mixture ◽  
Emulsion Liquid Membrane ◽  
Benzene Toluene ◽  
The Stability ◽  
Separation Performances ◽  
Membrane Mechanism ◽  
Stability Of Emulsion

The selective separation of aromatics (benzene, toluene and p-xylene, BTX) from aliphatic (n-heptane) is investigated using simple permeation and facilitated transport emulsion liquid membrane mechanism. The separation performances, represented by the permeation rate and separation factor, are analyzed systematically by varying the operating parameters. One of the major obstacles to the application of emulsion liquid membranes to industrial separations is the stability of emulsion globules. In the present study, stability of emulsion liquid membrane is studied by varying different parameters e.g. surfactant and feed phase concentration, stirrer speed for emulsification. Dispersion destabilisation of emulsion is detected by Turbiscan. Effects of interfacial tension on internal droplets size and size distribution are also systematically investigated. Stable emulsions under optimal conditions are used for the separation of aromatics (BTX) from aliphatic (n-heptane) in a synthetic feed mixture.

Visual Study on the Effect of Osmotic Pressure on the Morphology of Emulsion Liquid Membrane

2014 ◽  
Vol 881-883 ◽  
pp. 52-56
Author(s):  
Sun Jun Li ◽  
Hong Jing Liu
Keyword(s):  
Osmotic Pressure ◽  
Water Transport ◽  
Liquid Membrane ◽  
Water Diffusion ◽  
Experimental Results ◽  
Emulsion Liquid Membrane ◽  
Internal Phase ◽  
External Phase ◽  
The Stability ◽  
Stability Of Emulsion

The purpose of this paper is to investigate the effect of osmotic pressure on the morphology of emulsion liquid membrane (ELM) by the visual way. The experimental results show that osmotic pressure has great effect on the globules of emulsion liquid membrane through water diffusion between two water phases. When under isotonic pressure, the water transport trend cannot be observed. When osmotic pressure is less than zero, water transfers from the internal phase to the external phase. But when osmotic pressure is larger than zero, water transports from the external phase to the internal phase first by diffusion, then water transports from the internal phase to the external phase by the coalescence. Therefore, it is possible to tailor osmotic pressure between two water phases to keep the stability of emulsion liquid membrane when ELM is used to separate some component.

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