A two-step approach for copper and nickel extracting and recovering by emulsion liquid membrane

2016 ◽  
Vol 74 (10) ◽  
pp. 2454-2461
Author(s):  
Qiang Bi ◽  
Juanqin Xue ◽  
Yingjuan Guo ◽  
Guoping Li ◽  
Haibin Cui

The recycling of copper and nickel from metallurgical wastewater using emulsion liquid membrane (ELM) was studied. P507 (2-ethylhexyl phosphonic acid-2-ethylhexyl ester) and TBP (tributyl phosphate) were used as carriers for the extraction of copper and nickel by ELMs, respectively. The influence of four emulsion composition variables, namely, the internal phase volume fraction (ϕ), surfactant concentration (Wsurf), internal phase stripping acid concentration (Cio) and the carrier concentration (Cc), and the process variable treat ratio on the extraction efficiencies of copper or nickel were studied. Under the optimum conditions, 98% copper and nickel were recycled by using ELM. The results indicated that ELM extraction is a promising industrial application technology to retrieve valuable metals in low concentration metallurgical wastewater.

2014 ◽  
Vol 68 (3) ◽  
pp. 341-346 ◽  
Author(s):  
JianHong Luo ◽  
Jun Li ◽  
Bao Wang

Mg2+is extracted from ammonium dihydrogen phosphate (NH4H2PO4) solution by an emulsion liquid membrane (ELM) using mono-(2-ethylhexyl) 2-ethylhexyl phosphonate (HEHPEHE)as a carrier, sulfonated liquid polybutadiene (LYF) as a surfactant and kerosene as a solvent. To study the extraction efficiency and advantages of the ELM process in the separation of Mg2+,the effects of various operating conditions on the extraction -HEHPEHE volume fraction, reaction temperature, treat ratio (emulsion phase / external phase), phase ratio (membrane phase / internal phase), agitation speed, extraction time, internal phase concentration, surfactant LYF concentration and initial pH of NH4H2PO4 solution are experimentally investigated and discussed. The results show that Mg2+ in NH4H2PO4 solution can be effectively removed by the ELM process. An extraction efficiency of more than 83.1% is attained at the optimized parameters and superior-grade NH4H2PO4can be obtained by two levels of extraction.


2021 ◽  
Author(s):  
Pamela M. Johnson ◽  
Kelsey E. Knewtson ◽  
Jacob G. Hodge ◽  
Justin M. Lehtinen ◽  
Anna S. Trofimoff ◽  
...  

Emulsion electrospinning is a versatile technique used to create tunable fibrous meshes for applications in drug delivery and tissue engineering.


2010 ◽  
Vol 1 (3) ◽  
pp. 149-156
Author(s):  
Imam Santoso ◽  
Buchari Buchari

Extraction of silver (I) has been studied from black/white printing photographic waste by emulsion liquid membrane technique. Composition emulsion at the membrane phase was cerosene as solvent, sorbitan monooleat (span 80) as surfactant, dimethyldioctadesyl-ammonium bromide as carrier and as internal phase was HNO3. Optimum condition was obtained: ratio of internal phase volume and membrane phase volume was 1:1 : concentration of surfactant was 2% (v/v) : time of making emulsion was 20 second : rate of stiring emulsion was 1100 rpm : rest time emulsion was 3 second : rate of emulsion volume and external phase volume was 1:5 : emulsion contact rate 500 rpm : emulsion contact time was 40 second : concentration of silver thiosulfate as external phase was 100 ppm : pH of external phase was 3 and pH of internal phase was 1. Optimum condition was applied in silver(I) extraction from black/white printing photographic waste. It was obtained 77.33% average which 56.06% silver (I) average of internal phase and 22.66% in the external phase. Effect of matrices ion decreased silver(I) percent extraction from 96,37% average to 77.33% average. Keyword: photographics waste, silver extraction


2010 ◽  
Vol 10 (1) ◽  
pp. 46-50
Author(s):  
Imam Santoso ◽  
Bachri Amran ◽  
Apriliana Laily Fitri

The separation of penicillin G from fermentation broth can be done by emulsion liquid membrane technique. The aim of this research is to establish the optimal conditions for the extraction and separation of penicillin G using emulsion liquid membrane technique. The optimal conditions were found to be at ratio of internal phase volume to membrane phase volume of 1:1 ; time of making emulsion, 1 min ; emulsion contact rate, 300 rpm; rate of stirring of emulsion, 2000 rpm ; rest time of emulsion, 13 min; concentration of  penicillin G as external phase, 375 ppm; and concentration of surfactant, 5% (v/v). pH of internal phase is 8; pH of external phase 5; ratio of emulsion phase volume to external phase volume, 1:2 and concentration of carrier 2 mM. The concentration of penicillin G and phenylacetic acid from fermentation results were 24771 mg/L and 32675 mg/L. Extraction by emulsion liquid membrane technique gave the percentage of penicillin G 53.38% and phenylacetic acid 60.41%. The percentage phenylacetic acid which is still higher (60.41%) indicated that the penicillin G could not completely be separated from phenylacetic acid by emulsion liquid membrane technique.   Keywords: penicillin G, fermentation, emulsion liquid membrane technique


2016 ◽  
Vol 74 (4) ◽  
pp. 779-786 ◽  
Author(s):  
Juan Qin Xue ◽  
Ni Na Liu ◽  
Guo Ping Li ◽  
Long Tao Dang

To solve the disposal problem of cyanide wastewater, removal of cyanide from wastewater using a water-in-oil emulsion type of emulsion liquid membrane (ELM) was studied in this work. Specifically, the effects of surfactant Span-80, carrier trioctylamine (TOA), stripping agent NaOH solution and the emulsion-to-external-phase-volume ratio on removal of cyanide were investigated. Removal of total cyanide was determined using the silver nitrate titration method. Regression analysis and optimization of the conditions were conducted using the Design-Expert software and response surface methodology (RSM). The actual cyanide removals and the removals predicted using RSM analysis were in close agreement, and the optimal conditions were determined to be as follows: the volume fraction of Span-80, 4% (v/v); the volume fraction of TOA, 4% (v/v); the concentration of NaOH, 1% (w/v); and the emulsion-to-external-phase volume ratio, 1:7. Under the optimum conditions, the removal of total cyanide was 95.07%, and the RSM predicted removal was 94.90%, with a small exception. The treatment of cyanide wastewater using an ELM is an effective technique for application in industry.


2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Yun Zhu ◽  
Ye Hua ◽  
Shengmiao Zhang ◽  
Jianding Chen ◽  
Chun Pu Hu

Using vinyl ester resin (VER) containing styrene (or methyl methacrylate) and vinyl ester oligomer (VEO) as external phase, Pickering high internal phase emulsions (Pickering HIPEs) having internal phase volume fraction of up to 95 vol% were prepared with copolymer particles as sole stabilizer. Polymerizing the external phase of these Pickering HIPEs led to porous polymers (poly-Pickering-HIPEs). Compared to the polystyrene- (PS-) based poly-Pickering-HIPEs which were prepared with mixture of styrene and divinylbenzene (DVB) as crosslinker, the poly-Pickering-HIPEs herein showed much higher elastic modulus and toughness. The elastic modulus of these poly-Pickering-HIPEs increased with increasing the VEO concentration in the external phase, while it decreased with increasing internal phase volume fraction. Increasing VEO concentration in the external phase also resulted in a decrease in the average void diameter as well as a narrow void diameter distribution of the resulting poly-Pickering-HIPEs. In addition, there were many small pores in the voids surface caused by the volume contraction of VER during the polymerization, which suggests a new method to fabricate porous polymers having a well-defined hierarchical pore structure.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sung Wook Kim ◽  
Seong-Hoon Kang ◽  
Se-Jong Kim ◽  
Seungchul Lee

AbstractAdvanced high strength steel (AHSS) is a steel of multi-phase microstructure that is processed under several conditions to meet the current high-performance requirements from the industry. Deep neural network (DNN) has emerged as a promising tool in materials science for the task of estimating the phase volume fraction of these steels. Despite its advantages, one of its major drawbacks is its requirement of a sufficient amount of training data with correct labels to the network. This often comes as a challenge in many areas where obtaining data and labeling it is extremely labor-intensive. To overcome this challenge, an unsupervised way of learning DNN, which does not require any manual labeling, is proposed. Information maximizing generative adversarial network (InfoGAN) is used to learn the underlying probability distribution of each phase and generate realistic sample points with class labels. Then, the generated data is used for training an MLP classifier, which in turn predicts the labels for the original dataset. The result shows a mean relative error of 4.53% at most, while it can be as low as 0.73%, which implies the estimated phase fraction closely matches the true phase fraction. This presents the high feasibility of using the proposed methodology for fast and precise estimation of phase volume fraction in both industry and academia.


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