2000
DOI: 10.1016/s0011-9164(00)00094-1
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Removal of hexavalent chromium by nanofiltration

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Cited by 161 publications
(81 citation statements)
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“…In this case, retention coefficient increases with pH increase, but the effect is more pronounced for membranes with lower separation capacity (from 47 to 94.5% for Osmonics membranes) compared to more compact membranes (from 84 to 99.7% for Osmonics membranes) [25]. The dependence of the retention coefficient on the concentration of Cr in feed was also observed for NF membranes [25], but the range of the effect also depended on pH. In an acidic solution at higher concentrations of Cr in feed, higher retention was found, while at pH 6.5-11 the nature of this relationship was the opposite, i.e.…”
Section: Removal Of Anionic Micropollutantsmentioning
confidence: 88%
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“…In this case, retention coefficient increases with pH increase, but the effect is more pronounced for membranes with lower separation capacity (from 47 to 94.5% for Osmonics membranes) compared to more compact membranes (from 84 to 99.7% for Osmonics membranes) [25]. The dependence of the retention coefficient on the concentration of Cr in feed was also observed for NF membranes [25], but the range of the effect also depended on pH. In an acidic solution at higher concentrations of Cr in feed, higher retention was found, while at pH 6.5-11 the nature of this relationship was the opposite, i.e.…”
Section: Removal Of Anionic Micropollutantsmentioning
confidence: 88%
“…Cr 2 O 7 2-ions are also present in the solution and their concentration depends on the initial concentration of the contaminant in the feed and pH. This ion is usually dominant at high concentrations of Cr and in strongly acidic environment (pH 1-7) but its concentration decreases with pH increase [1,2,25].…”
Section: Removal Of Anionic Micropollutantsmentioning
confidence: 99%
“…Solute separation in nanofiltration membrane involves mainly the electrostatic interaction of membrane and solutes on the membrane surface and size exclusion [18]. And the separation efficiency in a nanofiltration process gets influenced by parameters such as pH [19], concentration [20], applied transmembrane pressure [21], initial cross flow rate etc. The response surface methodology as an effective statistical method has recently been successfully applied to optimize complex processes by depicting the interaction relationship between response variables [22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…WHO and US-EPA have fixed 50 µg L -1 and 100 µg L -1 respectively of total chromium in drinking water [5]. Several methods, technologies, and materials used for removal of chromium are ion exchange [6], ultrafiltrartion [7], nanofiltration [8], Microbiological Treatment [9], oxidation [10], fly ash, zero-valent iron [11,12], activated carbon [13,14], Bentonite [15], agricultural wastes [16] washing with hot water [17], microorganisms [18]. However the most common industrial treatment process is based on reduction of hexavalent chromium into trivalent chromium by some reducing agent or by weak acid cation exchange resin followed by precipitation with ferric salt as Cr (OH) 3 and finally filtration [19].…”
Section: Introductionmentioning
confidence: 99%