2020
DOI: 10.1016/j.seppur.2020.116894
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Optimisation of arsenate removal from water by an integrated ion-exchange membrane process coupled with Fe co-precipitation

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Cited by 20 publications
(3 citation statements)
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“…However, these methods are unsuccessful in the treatment of dissolved pollutants. 17 Different technologies such as ion exchange, 18,19 co-precipitation, 20 reverse osmosis, 21 coal combustion, 22 green methods, 23,24 electrocoagulation, 25 electrodeionization, 26 and membrane filtration 27 are used to remove arsenic from water but these techniques have lower removal efficiencies, produce large amounts of waste, are expensive and produce iron residues. 28 Adsorption is an effective technique to clean water and remove unwanted impurities from water.…”
Section: Introductionmentioning
confidence: 99%
“…However, these methods are unsuccessful in the treatment of dissolved pollutants. 17 Different technologies such as ion exchange, 18,19 co-precipitation, 20 reverse osmosis, 21 coal combustion, 22 green methods, 23,24 electrocoagulation, 25 electrodeionization, 26 and membrane filtration 27 are used to remove arsenic from water but these techniques have lower removal efficiencies, produce large amounts of waste, are expensive and produce iron residues. 28 Adsorption is an effective technique to clean water and remove unwanted impurities from water.…”
Section: Introductionmentioning
confidence: 99%
“…The most suitable membrane was selected and was then used to set the other operating parameters (crossflow velocity, transmembrane pressure, and operating temperature), using a response surface methodology (RSM). Response surface methodology (RSM) is a multivariate regression tool based on statistical analysis, which allows the factors and response variables to be correlated using regression models that are optimised for each response studied [34,35]. RSM is combined with design of experiments (DoE) to find an optimal response.…”
Section: Introductionmentioning
confidence: 99%
“…RSM is combined with design of experiments (DoE) to find an optimal response. DoE introduces variation in the independent factors that directly affect the variation of responses and allows a reduction in the number of experiments required to develop a model [35]. In this work, this statistical method was used to establish the correlation between the factors (operating temperature, crossflow velocity, and transmembrane pressure), and the responses (rejection of ferulic acid, retention of arabinoxylans, measured through the viscosity of retentate stream, and permeance), in order to define the best ultrafiltration conditions for an efficient separation of ferulic acid from arabinoxylans, while maintaining a good permeance.…”
Section: Introductionmentioning
confidence: 99%