Kinetic modeling of uranium permeation across a supported liquid membrane employing dinonyl phenyl phosphoric acid (DNPPA) as the carrier

Glycerol-Modified Binary Layered Double Hydroxide Nanocomposites for Uranium Immobilization via Extended X-ray Absorption Fine Structure Technique and Density Functional Theory Calculation

“…In order to remove and recycle radioactive U­(VI) from water system, various treatment technologies (e.g., ion-exchange, chemical (co)­precipitation, solvent extraction, , coagulation, filtration, permeation, and membrane separation) have been applied to separate or aggregate radionuclides from wastewater or groundwater system. However, a series of defects, such as secondary pollution, high investment, and complex operation, significantly limited these methods’ application in environmental remediation .…”

“…2,10,11 It can cause serious comprehensive environmental radiation and potential toxicological effects, which results in different levels of water pollution or soil pollution, 12,13 so it is essential and urgent to recycle and aggregate uranium from natural environment. In order to remove and recycle radioactive U(VI) from water system, various treatment technologies (e.g., ion-exchange, 14 chemical (co)precipitation, 15 solvent extraction, 14,16 coagulation, 17 filtration, 18 permeation, 19 and membrane separation 20 ) have been applied to separate or aggregate radionuclides from wastewater or groundwater system. However, a series of defects, such as secondary pollution, high investment, and complex operation, significantly limited these methods' application in environmental remediation.…”

Modeling of Textile Dye Removal from Wastewater Using Innovative Oxidation Technologies (Fe(II)/Chlorine and H2O2/Periodate Processes): Artificial Neural Network-Particle Swarm Optimization Hybrid Model

“…Kinetic modeling models have many constraints because of their complicated nature and nonlinearity, limiting the parameters. 18 − 27 Scientists have put out fuzzy logic (FL) models, artificial neural networks (ANNs), and other ML techniques. The latter have been applied to processes in several studies.…”

“…To integrate the results of experiments, mathematic models were regarded as appropriate. Kinetic modeling models have many constraints because of their complicated nature and nonlinearity, limiting the parameters. − Scientists have put out fuzzy logic (FL) models, artificial neural networks (ANNs), and other ML techniques. The latter have been applied to processes in several studies. − Machine learning (ML) offers practical solutions to solve challenging issues in various industrial applications .…”

Comparative study between liquid–liquid extraction and bulk liquid membrane for the removal and recovery of methylene blue from wastewater

“…It has been given considerable attention by researchers due to its outstanding characteristics such as simultaneous pollutants removal and materials recovery in a single unit, non-equilibrium mass transfer, high selectivity, high fluxes, reusability and low energy consumption [26]. In recent years, remarkable increases of the applications of liquid membranes techniques in separation processes have been observed [27][28][29][30][31][32][33][34]. LMs can be designed as bulk liquid membranes (BLM), supported liquid membranes (SLM), emulsion liquid membranes (ELM), polymer inclusion membranes (PIMs) and activated composite membranes (ACM) [35].…”