Effects of shear rate on biofouling of reverse osmosis membrane during tertiary wastewater desalination

Wang, Ying; Gitis, Vitaly; Lee, Jintae; Herzberg, Moshe

doi:10.1016/j.memsci.2012.09.054

Cited by 45 publications

(31 citation statements)

References 40 publications

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“…likely reducing the permeate flux, as shown previously (Sweity et al 2011;Ying et al 2013Ying et al , 2014. Applied chemical-cleaning agents EDTA and SDS partially removed the biofouling layer but did not restore the flux to its original values (Figure 1), as previously reported (Madaeni & Mansourpanah 2004;Ang et al 2006).…”

Section: Fungal Diversitysupporting

confidence: 80%

“…The EPS components and their adhesion were then analyzed, including TOC, total carbohydrates and total proteins (Table 2, Figure 4). Initially, cleaning decreased their concentration compared to the control; however, repeated cleaning cycles were not effective at reducing the EPS components (specifically the carbohydrates), as previously shown (Quilès et al 2010;Ying et al 2013). The EPS probably adhered to the membrane surface despite the cleaning effort.…”

Section: Discussionmentioning

confidence: 75%

“…Due to technical constraints, FTIR spectra could not be obtained for the control and cleaned samples at the conclusion of the experiment. Nevertheless, the main conclusion, which could be drawn from the first cleaning cycle, was that the development of the biofilm corresponded to known spectra of polysaccharides, proteins and DNA (Ying et al 2013(Ying et al , 2014. It was further hypothesized that more adhesive EPS, which leads to a faster flux decline, would be harder to clean.…”

Section: Discussionmentioning

confidence: 99%

“…Over time, the flux in the cleaned and control systems declined due to two constitutive processes (Figure 1), first organic fouling (Ying et al 2013) and then biofouling (Al , resulting in an up to 60% decline in flux. Table 1 presents the major waterquality parameters of the feed water and permeates during the fouling experiments with and without cleaning.…”

Section: Chemical Analyses Of the Feed And Ro Permeatementioning

confidence: 99%

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Biofouling of reverse osmosis membranes: effects of cleaning on biofilm microbial communities, membrane performance, and adherence of extracellular polymeric substances

et al. 2017

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Laboratory-scale reverse osmosis (RO) flat-sheet systems were used with two parallel flow cells, one treated with cleaning agents and a control (ie undisturbed). The cleaning efforts increased the affinity of extracellular polymeric substances (EPS) to the RO membrane and altered the biofilm surface structure. Analysis of the membrane biofilm community composition revealed the dominance of Proteobacteria. However, within the phylum Proteobacteria, γ-Proteobacteria dominated the cleaned membrane biofilm, while β-Proteobacteria dominated the control biofilm. The composition of the fungal phyla was also altered by cleaning, with enhancement of Ascomycota and suppression of Basidiomycota. The results suggest that repeated cleaning cycles select for microbial groups that strongly attach to the RO membrane surface by producing rigid and adhesive EPS that hampers membrane performance.

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Section: Fungal Diversitysupporting

confidence: 80%

Section: Discussionmentioning

confidence: 75%

Section: Discussionmentioning

confidence: 99%

Section: Chemical Analyses Of the Feed And Ro Permeatementioning

confidence: 99%

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Biofouling of reverse osmosis membranes: effects of cleaning on biofilm microbial communities, membrane performance, and adherence of extracellular polymeric substances

et al. 2017

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“…Biofilm growth in membrane systems and the impact on membrane performance is affected by several interrelated factors, such as the availability of biodegradable nutrients, hydrodynamics [10][11][12][13], feed spacer design, and surface material [14], and it is not directly related to parameters measured in the feedwater such as total organic carbon (TOC) concentration and bacterial cell number [8]. Therefore, there is a need for systematic, controlled laboratory studies with a well-designed membrane biofouling monitor system, representative for full-scale applications.…”

Section: Introductionmentioning

confidence: 99%

Development of a setup to enable stable and accurate flow conditions for membrane biofouling studies

Bucs

Farhat

Siddiqui

et al. 2015

Desalination and Water Treatment

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A B S T R A C TSystematic laboratory studies on membrane biofouling require experimental conditions that are well defined and representative for practice. Hydrodynamics and flow rate variations affect biofilm formation, morphology, and detachment and impacts on membrane performance parameters such as feed channel pressure drop. There is a suite of available monitors to study biofouling, but systems to operate monitors have not been well designed to achieve an accurate, constant water flow required for a reliable determination of biomass accumulation and feed channel pressure drop increase. Studies were done with membrane fouling simulators operated in parallel with manual and automated flow control, with and without dosage of a biodegradable substrate to the feedwater to enhance biofouling rate. High flow rate variations were observed for the manual water flow system (up to ≈9%) compared to the automatic flow control system (<1%). The flow rate variation in the manual system was strongly increased by biofilm accumulation, while the automatic system maintained an accurate and constant water flow in the monitor. The flow rate influences the biofilm accumulation and the impact of accumulated biofilm on membrane performance. The effect of the same amount of accumulated biomass on the pressure drop increase was related to the linear flow velocity. Stable and accurate feedwater flow rates are essential for biofouling studies in well-defined conditions in membrane systems.

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Microanalysis of Reverse Osmosis and Nanofiltration Membranes

Coronell

Horst

Donley

2013

Encyclopedia of Membrane Science and Technology

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In reverse osmosis (RO) and nanofiltration (NF) membranes, the active layer constitutes the main barrier to the transport of water and contaminants. In addition, membrane–foulant interactions occur at the active layer surface. Accordingly, the characterization of active layer properties, and interactions with water, contaminants, and foulants, greatly benefits membrane development and optimization cycles. In this article, we provide a brief review of eight characterization techniques that have proved to be useful for the aforementioned characterization objectives. The techniques covered are positron annihilation lifetime spectroscopy (PALS), Rutherford backscattering spectrometry (RBS), X‐ray photoelectron spectroscopy (XPS), nuclear magnetic resonance (NMR) spectroscopy, electrical/electrochemical impedance spectroscopy (EIS), scanning electron microscopy (SEM), transmission electron microscopy (TEM), and atomic force microscopy (AFM). For each technique, we first describe basic concepts and then provide an overview of some key applications and findings of the technique in RO/NF membrane characterization.

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Effects of shear rate on biofouling of reverse osmosis membrane during tertiary wastewater desalination

Cited by 45 publications

References 40 publications

Biofouling of reverse osmosis membranes: effects of cleaning on biofilm microbial communities, membrane performance, and adherence of extracellular polymeric substances

Biofouling of reverse osmosis membranes: effects of cleaning on biofilm microbial communities, membrane performance, and adherence of extracellular polymeric substances

Development of a setup to enable stable and accurate flow conditions for membrane biofouling studies

Microanalysis of Reverse Osmosis and Nanofiltration Membranes

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