2017
DOI: 10.1016/j.biortech.2017.07.160
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Effects of fractal roughness of membrane surfaces on interfacial interactions associated with membrane fouling in a membrane bioreactor

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Cited by 40 publications
(13 citation statements)
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“…It is generally accepted that, adhesion of various foulants (colloids, soluble microbial products, extracellular polymeric substances, and sludge flocs cell) in feed water on membrane surface is the main cause of membrane fouling . Increase in roughness of membrane surfaces would strengthen and prolong the interfacial interactions between membranes and foulants and would significantly increase the adhesion propensity of a foulant particle on a rough membrane surface, enhancing membrane fouling . Accordingly, it is not surprising that the unmodified PAS and PAE membranes displayed better antifouling ability.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…It is generally accepted that, adhesion of various foulants (colloids, soluble microbial products, extracellular polymeric substances, and sludge flocs cell) in feed water on membrane surface is the main cause of membrane fouling . Increase in roughness of membrane surfaces would strengthen and prolong the interfacial interactions between membranes and foulants and would significantly increase the adhesion propensity of a foulant particle on a rough membrane surface, enhancing membrane fouling . Accordingly, it is not surprising that the unmodified PAS and PAE membranes displayed better antifouling ability.…”
Section: Resultsmentioning
confidence: 99%
“…56,57 Increase in roughness of membrane surfaces would strengthen and prolong the interfacial interactions between membranes and foulants and would significantly increase the adhesion propensity of a foulant particle on a rough membrane surface, enhancing membrane fouling. [58][59][60] Accordingly, it is not surprising that the unmodified PAS and PAE membranes displayed better antifouling ability. High pure water flux of the modified PAS and PAE with PVP make them more sensitive to fouling process and fouling in same extent of other polymers has a remarkable effect on flux of high permeation membranes (PAS + PVP and PAE + PVP).…”
Section: Antifouling Properties Of the Membranesmentioning
confidence: 99%
“…The membrane-foulant covalent complexation could be alleviated by reducing the density of carboxyl groups on the membrane surface (Mo et al, 2012;Han et al, 2016). The spatial effects could be regulated by changing the pore morphology (Xiao et al, 2014a;Fan et al, 2018), surface roughness (Hashino et al, 2011;Feng et al, 2017), and surface topography of the membrane (e.g., prism/pyramid/embossing-patterned membranes Won et al, 2016 and hierarchically textured membranes Zhao et al, 2018). In addition, electrocatalytic membranes have been developed to produce reactive species (such as hydroxyl radicals) on the membrane surface in situ, thus breaking the membrane-foulant interactions (Yang Y. et al, 2011;Yang et al, 2012;Zheng et al, 2018).…”
Section: Membrane Modification For Tuning the Membrane-foulant Interamentioning
confidence: 99%
“…The surface roughness of membranes, and indeed any other surface, plays a major role in modulating interactions between the surface and surrounding medium, and hence plays a major role in fouling and biofouling [29][30][31][32][33][34][35][36][37]. This is primarily due to roughness changing the surface area and texture available to be fouled [38], as well as affecting the water contact angle [39,40], acid-base interactions [33] and also the surface zeta-potential [41].…”
Section: Introductionmentioning
confidence: 99%
“…Much of the study of such surfaces have been in the fields of crack propagation and growth of metal films, as well as some other materials. Recently it has been reported by both Zhang et al [67] and Feng et al [32] that polymer membrane surfaces with random roughness can be modelled using fractal functions. In addition, Wong et al [41] examined surface roughness of a wide variety of membranes and found that their behaviour could be described using fractal geometry, with linear growth of logarithmic plots of roughness versus scan size.…”
Section: Introductionmentioning
confidence: 99%