Extraction of lead ions from aqueous solution by co-stabilization mechanisms of magnetic Fe2O3 particles and nonionic surfactants in emulsion liquid membrane

Conversion of waste cooking oil into value-added emulsion liquid membrane for enhanced extraction of lead: Performance evaluation and optimization.

Environmental friendly treatment technology was adopted in the present work by employing green emulsion liquid membrane (GELM) for the extraction of arsenic from an aqueous solution. The GELM was composed of used waste cooking oil as a diluent, aliquat 366 as a carrier, span 80 as a surfactant and NaOH as a stripping agent. Waste cooking oil, a nontoxic organic solvent was used as a diluent. Initially, nine parameters, namely, surfactant concentration, carrier concentration, agitation time, agitation speed, pH of the external phase, treat ratio, internal phase concentration, arsenic concentration and volume ratio of organic to aqueous phase were selected and screened by Plackett-Burman design (PBD) for arsenic extraction. Then Box-Behnken design (BBD) was applied using the selected parameters to achieve the optimal condition for the arsenic extraction. The optimum conditions for the maximum removal of arsenic were: Surfactant concentration – 2.3 (v/v %), Carrier concentration – 5.6 (v/v%), Treat ratio – 12, internal phase concentration – 0.92 M, initial arsenic concentration – 100 ppm, O/A ratio – 1. The mechanism of arsenic extraction was also presented. The study on stripping and reuse of the GELM was discussed and recommended that membrane phase might be reused for 6 times. For the optimized factors the maximum extraction of arsenic was estimated as 99.0 %. Kinetic analysis shows that the arsenic extraction by GELM follows first-order reaction. In addition, thermodynamic analysis reveals that the extraction process was an endothermic, and spontaneous in nature.

Development of a green emulsion liquid membrane using waste cooking oil as diluent for the extraction of arsenic from aqueous solution – Screening, optimization, kinetics and thermodynamics studies

In this work, the emulsified liquid membrane (ELM) extraction process was studied as a technique for separating different pollutants from an aqueous solution. The emulsified liquid membrane used consisted of Sorbitan mono-oleate (Span 80) as a surfactant with n-hexane (C6H14) as a diluent; the internal phase used was nitric acid (HNO3). The major constraint in the implementation of the extraction process by an emulsified liquid membrane (ELM) is the stability of the emulsion. However, this study focused first on controlling the stability of the emulsion by optimizing many operational factors, which have a direct impact on the stability of the membrane. Among the important parameters that cause membrane breakage, the surfactant concentration, the emulsification time, and the stirring speed were demonstrated. The optimization results obtained showed that the rupture rate (Tr) decreased until reaching a minimum value of 0.07% at 2% of weight/weight of Span 80 concentration with an emulsification time of 3 min and a stirring speed of 250 rpm. On the other hand, the volume of the inner phase leaking into the outer phase was predicted using an artificial neural network (ANN). The evaluation criteria of the ANN model in terms of statistical coefficient and RMSE error revealed very interesting results and the performance of the model since the statistical coefficients were very high and close to 1 in the four phases (R_training = 0.99724; R_validation = 0.99802; R_test = 0.99852; R_all data = 0.99772), and also, statistical errors of RMSE were minimal (RMSE_training= 0.0378; RMSE_validation = 0.0420; RMSE_test = 0.0509; RMSE_all data = 0.0406).

https://www.mdpi.com/2227-9717/11/2/364/pdf?version=1674545874

Optimization and Prediction of Stability of Emulsified Liquid Membrane (ELM): Artificial Neural Network

Removal of copper, nickel and chromium mixtures from metal plating wastewater by adsorption with modified carbon foam

The presence of heavy metals in aqueous solutions above certain limits represents a serious threat to the environment due to their toxicity and non-degradability. Thus, the removal of these metals from contaminated waters has received increasing attention during recent decades. This paper describes the removal of Cu(II) from aqueous solutions by emulsion liquid membranes, through a carrier-facilitated counter-transport mechanism, using benzoylacetone as the carrier and HCl as the stripping agent (protons as counter-ions). To optimize the Cu(II) removal process, the effect of the following operating parameters on the on the stability of the emulsion liquid membrane and on the Cu(II) removal efficiency was studied: feed pH, HCl concentration in the permeate phase, carrier and emulsifier concentration in the membrane phase, feed phase/emulsion phase and permeate phase/membrane phase volume ratios, emulsification time and speed in the primary emulsion preparation and stirring speed in the whole feed phase/emulsion phase system. Typical membrane transport parameters, such as flux and permeability, were also determined. Optimal Cu(II) removal conditions were: 5.5 feed pH, 10 kg/m3 benzoylacetone concentration in the membrane phase, 18.250 kg/m3 HCl concentration in the permeate phase, 50 kg/m3 Span 80 concentration in the membrane phase, 200 rpm stirring rate, 5 min emulsification time, 2700 rpm emulsification rate, 2:1 feed:emulsion volume ratio and 1:1 permeate:membrane volume ratio. In these optimal conditions, 80.3% of Cu(II) was removed in 15 min with an apparent initial flux and permeability of 0.3384 kg·m−3·min−1 and 0.3208 min−1, respectively.

Optimization of Copper Removal from Aqueous Solutions Using Emulsion Liquid Membranes with Benzoylacetone as a Carrier

Heavy metals removal/recovery from industrial wastewater has become a prime concern for both economic and environmental reasons. This paper describes a comparative kinetic study of the removal/recovery of copper(II) from aqueous solutions by bulk liquid membrane using two types of coupled facilitated transport mechanisms and three carriers of different chemical nature: benzoylacetone, 8-hydroxyquinoline, and tri-n-octylamine. The results are analyzed by means of a kinetic model involving two consecutive irreversible first-order reactions (extraction and stripping). Rate constants and efficiencies of the extraction (k1, EE) and the stripping (k2, SE) reactions, and maximum fluxes through the membrane, were determined for the three carriers to compare their efficiency in the Cu(II) removal/recovery process. Counter-facilitated transport mechanism using benzoylacetone as carrier and protons as counterions led to higher maximum flux and higher extraction and stripping efficiencies due to the higher values of both the extraction and the stripping rate constants. Acceptable linear relationships between EE and k1, and between SE and k2, were found.

https://www.mdpi.com/2075-4701/6/9/212/pdf

Kinetic Study of Copper(II) Simultaneous Extraction/Stripping from Aqueous Solutions by Bulk Liquid Membranes Using Coupled Transport Mechanisms

In the critical context of Mar Menor, the largest saltwater coastal lagoon in Europe, which is experiencing an ecological crisis, the paper describes the intelligent environmental infrastructure we are developing as part of the SMARTLAGOON project. In particular, we here present our strategy to collect both (i) real-time environmental data exploiting an intelligent infrastructure which comprises a smart buoy and AI models running on cameras and a mobile application, and (ii) socio-environmental data engaging citizen scientists (including environmental NGO members, children) and extracting people opinions and topic trends from social media via our social media sensing tool. The integration of such data will feed our Digital Twin. The integration of such data will feed our Digital Twin, a power tool that will be designed to allow stakeholders to understand how the variables of interest will affect the sustainability of Mar Menor in the future.

On integrating intelligent infrastructure and participatory monitoring for environmental modelling: the SMARTLAGOON approach

L. León, J. Senent, UCAM-Murcia, Spain G. León, M.A. Guzmán, Technical University of Cartagena, Spain The removal/recovery of metals from secondary sources is an interesting research field from both economic and environmental view points. In this paper we study the removal/recovery of copper(II) from aqueous solutions by bulk liquid membranes through a carrier mediated transport mechanism using six different carriers. The efficiency of the different carriers is analyzed bases on the values of different transport parameters (flux and permeability through feed/membrane and membrane/product interfaces) and on the percentages of copper (II) removed from the feed phase, recovered in the product phase and accumulated in the membrane phase.

Comparative study of copper (II) removal/recovery from aqueous solutions by bulk liquid membranes containing six different carriers

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Javier Senent

Author Tools

Chat about Author

Papers

Optimization of Copper Removal from Aqueous Solutions Using Emulsion Liquid Membranes with Benzoylacetone as a Carrier

Kinetic Study of Copper(II) Simultaneous Extraction/Stripping from Aqueous Solutions by Bulk Liquid Membranes Using Coupled Transport Mechanisms

On integrating intelligent infrastructure and participatory monitoring for environmental modelling: the SMARTLAGOON approach

Comparative study of copper (II) removal/recovery from aqueous solutions by bulk liquid membranes containing six different carriers