A QSAR model for predicting rejection of emerging contaminants (pharmaceuticals, endocrine disruptors) by nanofiltration membranes

Yangali-Quintanilla, Victor; Sadmani, A.H.M. Anwar; McConville, Megan; Kennedy, Maria D.; Amy, Gary L.

doi:10.1016/j.watres.2009.06.054

Cited by 136 publications

(68 citation statements)

References 40 publications

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“…The previously mentioned caffeine removal was achieved using NF membranes (HL, CK and DK series from GE Osmonics Inc.), whereas caffeine removal was in the range of 62-93% using polyamide thin-film composite (NF-90 and NF-200, from Dow Filmtec) membranes [130,143]. However, this trend, may not be universal because ECs with different characteristics may behave differently.…”

Section: Membrane Technologymentioning

confidence: 99%

Treatment technologies for emerging contaminants in water: A review

Rodríguez-Narváez

Peralta‐Hernández

Goonetilleke

et al. 2017

Chemical Engineering Journal

944

287

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Section: Membrane Technologymentioning

confidence: 99%

Treatment technologies for emerging contaminants in water: A review

Rodríguez-Narváez

Peralta‐Hernández

Goonetilleke

et al. 2017

Chemical Engineering Journal

944

287

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“…While this mechanism is thought to be well established in membrane filtration, unexpected results have been observed with retention of some micropollutants considerably lower than expected based on molecular weight [34,54]. Some have attributed such variation to molecular length and shape [37,55,56] although Van der Bruggen et al [31] concluded that correlation of retention with size parameters other than MW (e.g. Stokes diameter) was only a marginal improvement.…”

Section: Retention Of Micropollutants By Polymeric Membranesmentioning

confidence: 99%

Micropollutant sorption to membrane polymers: A review of mechanisms for estrogens

Schäfer

Akanyeti

Semiao

2011

Advances in Colloid and Interface Science

246

140

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Organic micropollutants such as estrogens occur in water in increasing quantities from predominantly anthropogenic sources. In water such micropollutants partition not only to surfaces such as membrane polymers but also to any other natural or treatment related surfaces. Such interactions are often observed as sorption in treatment processes and this phenomenon is exploited in activated carbon filtration, for example. Sorption is important for polymeric materials and this is used for the concentration of such micropollutants for analytical purposes in solid phase extraction. In membrane filtration the mechanism of micropollutant sorption is a relatively new discovery that was facilitated through new analytical techniques. This sorption plays an important role in micropollutant retention by membranes although mechanisms of interaction are to date not understood. This review is focused on sorption of estrogens on polymeric surfaces, specifically membrane polymers. Such sorption has been observed to a large extent with values of up to 1.2 ng/cm(2) measured. Sorption is dependent on the type of polymer, micropollutant characteristics, solution chemistry, membrane operating conditions as well as membrane morphology. Likely contributors to sorption are the surface roughness as well as the microporosity of such polymers. While retention-and/or reflection coefficient as well as solute to effective pore size ratio-controls the access of such micropollutants to the inner surface, pore size, porosity and thickness as well as morphology or shape of inner voids determines the available area for sorption. The interaction mechanisms are governed, most likely, by hydrophobic as well as solvation effects and interplay of molecular and supramolecular interactions such as hydrogen bonding, π-cation/anion interactions, π-π stacking, ion-dipole and dipole-dipole interactions, the extent of which is naturally dependent on micropollutant and polymer characteristics. Systematic investigations are required to identify and quantify both relative contributions and strength of such interactions and develop suitable surface characterisation tools. This is a difficult endeavour given the complexity of systems, the possibility of several interactions taking place simultaneously and the generally weaker forces involved.

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“…A selection of representative OMP with regard to physico-chemical and structural properties has been provided for drinking water treatment by Jin and Peldszus (2012). Quantitative relationships of OMP structure and property (QSPR) or activity (QSAR) have been applied to predict the behavior of OMP in treatment processes (Magnuson and Speth, 2005;Lei and Snyder, 2007;Yangali-Quintanilla et al, 2010). Reemtsma et al (2006) introduced the water cycle spreading index that provides information on the fate of OMP.…”

Section: Introductionmentioning

confidence: 99%