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Role of Reverse Divalent Cation Diffusion in Forward Osmosis Biofouling Ming Xie, Edo Bar-Zeev, Sara M. Hashmi, Long D Nghiem, and Menachem Elimelech Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.5b02728 • Publication Date (Web): 27 Oct 2015 Downloaded from http://pubs.acs.org on November 1, 2015
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Role of Reverse Divalent Cation Diffusion in Forward Osmosis Biofouling
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Ming Xie 1, 2, Edo Bar-Zeev 1,3, Sara M. Hashmi 1, Long D. Nghiem 2, and Menachem
11
Elimelech1* 1
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Department of Chemical and Environmental Engineering Yale University, New Haven, CT 06520-8286, United States 2
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3
Strategic Water Infrastructure Laboratory, School of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, NSW 2522, Australia
Zuckerberg Institute for Water Research, Ben Gurion University of the Negev, Sede Boqer Campus, Midreshet Ben Gurion, 84990, Israel
18 19 20 21 22
* Corresponding author: Menachem Elimelech, Email:
[email protected], Phone: (203) 432-2789
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ABSTRACT
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We investigated the role of reverse divalent cation diffusion in forward osmosis (FO) biofouling.
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FO biofouling by Pseudomonas aeruginosa was simulated using pristine and chlorine-treated
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thin-film composite polyamide membranes with either MgCl2 or CaCl2 draw solution. We
27
related FO biofouling behavior―water flux decline, biofilm architecture, and biofilm
28
composition―to reverse cation diffusion. Experimental results demonstrated that reverse
29
calcium diffusion led to significantly more server water flux decline in comparison with reverse
30
magnesium permeation. Unlike magnesium, reverse calcium permeation dramatically altered the
31
biofilm architecture and composition, where extracellular polymeric substances (EPS) formed a
32
thicker, denser, and more stable biofilm. We propose that FO biofouling was enhanced by
33
complexation of calcium ions to bacterial EPS. This hypothesis was confirmed by dynamic and
34
static light scattering measurements using extracted bacterial EPS with the addition of either
35
MgCl2 or CaCl2 solution. We observed a dramatic increase in the hydrodynamic radius of
36
bacterial EPS with the addition of CaCl2, but no change was observed after addition of MgCl2.
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Static light scattering revealed that the radius of gyration of bacterial EPS with addition of CaCl2
38
was 20 times larger than that with the addition of MgCl2. These observations were further
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confirmed by transmission electron microscopy imaging, where bacterial EPS in the presence of
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calcium ions was globular, while that with magnesium ions was rod-shaped.
41 42
TOC Art
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INTRODUCTION
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Forward osmosis (FO) could potentially find a wide range of applications in water and
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wastewater treatment, particularly with challenging and difficult to treat wastewaters
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Membrane fouling in FO has been shown to be less detrimental and more reversible compared to
48
pressure-driven membrane processes such as nanofiltration (NF) and reverse osmosis (RO)
49
Studies have demonstrated that FO fouling could be easily controlled by simple physical
50
(hydrodynamic) means, such as increasing the cross flow velocity and subsequently the shear
51
rate at the membrane surface 6. Consequently, there have been several successful demonstrations
52
of FO for the treatment of wastewaters with high fouling propensity with no or limited
53
pretreatment, such as landfill leachate 7, anaerobic digester concentrate
54
solution 10, 11, and municipal wastewater 12-14.
8, 9
1
.
2-6
.
, activated sludge
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Despite the low fouling propensity of FO, membrane performance might still be hindered
56
by membrane biofouling, resulting in higher operational cost and shorter membrane life.
57
Membrane biofilms that develop on the membrane surface comprise complex sessile microbial
58
communities permanently attached to the surface by gel-like, extracellular polymeric substances
59
(EPS)
60
dead cells encased in a polymeric matrix
61
resistant to removal by various biochemical treatment methods due to the protection provided by
62
the EPS scaffold
17, 20
63
and nucleic acids
21-23
15-17
. This microbial cake layer features a multi-cellular architecture comprising live and 18, 19
. Once attached and developed, biofilms are
that contains a mixture of polysaccharides and proteins as well as uronic .
64
Reverse draw solute diffusion, a unique mass transport phenomenon in FO, has the
65
potential to impact FO membrane fouling. Permeate water flux in FO is coupled with reverse
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permeation of draw solute
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to promote colloid destabilization, which enhanced membrane fouling and reduced fouling
68
reversibility by simple physical cleaning
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demonstrated to enhance humic acid fouling due to elevated ionic strength at the membrane
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interface 28. Notably, reverse diffusion of divalent cations (e.g., Ca2+ or Mg2+) may induce more
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severe FO organic fouling in comparison with monovalent cations (e.g., Na+)
24-26
. Reverse permeation of NaCl draw solution was recently shown 27
. Moreover, reverse transport of NaCl was
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. For example,
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significant water flux decline was observed in FO due to alginate (polysaccharide) fouling using
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MgCl2 as draw solution 3, 30 .
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It is widely accepted that divalent cations, particularly calcium, could promote membrane
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organic fouling 31, 32. Calcium ions strongly interact with organic foulants via specific interaction
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with carboxylic functional groups, 33, 34 thereby aggravating membrane organic fouling. Divalent
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calcium ions can also enhance membrane biofouling
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dissolved polysaccharide chains to form gelatinous networks characteristic of EPS
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However, to date, no studies exist on the role of reverse permeation of divalent cations on
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biofouling in FO.
35
by forming multiple crosslinks between 15, 22, 36
.
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In this study, we investigated the role of reverse divalent cation diffusion, specifically of
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calcium and magnesium ions, in FO biofouling. Thin-film composite membranes with varying
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degrees of reverse draw solute flux were obtained by chlorine treatment of the polyamide active
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layer. FO membrane biofouling induced by reverse diffusion of either calcium or magnesium
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ions was quantified in terms of water flux decline and biofilm characteristics. Light scattering
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measurements and transmission electron microscopy imaging were used to elucidate the FO
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membrane biofouling behavior and to identify the underlying biofouling mechanisms induced by
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reverse divalent cation diffusion.
89 90
MATERIALS AND METHODS
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FO Membrane and Active Layer Modification. In all experiments, a pristine, polyamide
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thin-film composite (TFC) FO membrane (Hydration Technologies Innovation, Albany, OR) was
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used as a reference and compared with a chlorine-treated counterpart. The polyamide TFC FO
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membrane was treated with sodium hypochlorite (NaClO) to reduce membrane selectivity (i.e.,
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decrease salt rejection)
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flux compared to the pristine (untreated) membrane. Specifically, the TFC membrane was
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immersed in 1,000 mg/L NaClO solution adjusted to pH 7.0 for one hour and then soaked in 0.1
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M NaOH solution for eight hours. The membrane was then rinsed thoroughly with deionized
37
, thereby generating a membrane with an increased reverse draw salt
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water and stored wet at 4 °C. The chemically modified membrane was denoted as chlorinetreated membrane.
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Experimental Setup for FO Biofouling. Synthetic wastewater was prepared and
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sterilized for FO biofouling experiments according to the recipe described in our previous study
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20
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role of reverse salt permeation on biofouling. Ionic strength and pH of the synthetic wastewater
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were 16 mM and 7.6 ± 0.2, respectively. Analytical grade NaCl, MgCl2, or CaCl2 were used as
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draw solutions. The concentration of each draw solution was adjusted to achieve an initial water
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flux of 20 ± 1 L m-2 h-1 in FO biofouling experiments.
; no calcium or magnesium was added into the synthetic wastewater in order to elucidate the
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Biofouling experiments were performed using an axenic monoculture of Pseudomonas
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aeruginosa (ATCC 27853) as a model bacterial strain. P. aeruginosa was cultivated overnight at
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37 °C to an optical density (OD600) of 0.6 in Luria-Bertani (LB) broth (BD Biosciences). A sub
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culture (50 mL) was then centrifuged at 25 °C and 4,000 rpm for 15 minutes to remove LB
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supplements and resuspended in 20 mL of sterile wastewater.
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All FO biofouling experiments were carried out using a custom-made FO setup that was 37, 38
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used in previous studies
. FO membrane cell dimensions were 7.7 cm × 2.6 cm × 0.3 cm
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(length, width, and height, respectively), with an active membrane surface area of 20.0 cm2. Both
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feed and draw cross-flows (8.5 cm/s) were recycled using two gear pumps (Micropump, Cole-
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Parmer). Permeate flux was monitored using an electric balance (Denver Instrument) interfaced
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with a data acquisition system.
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Before each biofouling experiment, the FO system was cleaned and disinfected. Cleaning
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was carried out by flushing the FO system with 10% bleach, followed by EDTA (5 mM),
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absolute ethanol, and ending with three DI water rinses. Each of the above solutions (2 L) was
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circulated through the system for one hour.
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Biofouling experiments commenced after the permeate water flux was stabilized at 20 ±
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1 L m-2 h-1. Feed wastewater (2 L) was inoculated with 20 mL of P. aeruginosa to achieve an
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initial bacteria concentration of 6.0 ± 0.5 × 107 cells L-1. Feed wastewater temperature was
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maintained constant at 25 oC using a heater/chiller (Thermo Scientific, IL). Feed wastewater was 5
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monitored periodically for pH, conductivity, and colony-forming unit (CFU) counts. At the end
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of each biofouling experiment, membrane subsections were cut from the FO membrane sample
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to evaluate various biofilm characteristics by confocal laser scanning microscopy (CLSM), total
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organic carbon (TOC), and protein measurements.
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Confocal Laser Scanning Microscopy (CLSM) Analysis. Membrane subsections
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were cut (1 cm2) from the center of the biofouled membrane. The membrane section was placed
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in a petri dish with 3 mL of sterile wastewater. The biofouled sample was then stained with
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SYTO 9 and propidium iodide (PI) to identify live and dead cells (LIVE/DEAD BacLight,
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Invitrogen, USA). Simultaneously, the biofouled membrane samples were stained with 30 µL of
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50 µM concavalin A (Con A, Alexa Flour 633, Invitrogen, MA) to identify biofilm EPS. All
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staining was conducted for 30 minutes in the dark. Biofilm samples were rinsed three times with
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sterilized wastewater to remove any unbound stains. Biofouled membrane samples were then
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mounted in a custom-made characterization chamber for CLSM imaging 39.
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Confocal images were captured using a CLSM (Zeiss LSM 510, Carl Zeiss, Inc.)
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equipped with a Plan-Apochromat 20×/0.8 numerical aperture objective. SYTO 9, PI, and Con A
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were excited with three sets of lasers, respectively: 488 nm argon, 561 nm diode-pumped solid
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state, and 633 nm helium-neon laser. A minimum of three Z stack random fields (635 µm × 635
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µm) were collected for each sample, with a slice thickness of 2.3 µm, using ZEN (Carl Zeiss,
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Inc.) to obtain a representative biofilm ortho image. Biofilm dimensions were analyzed by
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capturing a minimum of ten random Z stack regions (90 µm × 90 µm) for each sample, with a
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slice thickness of 1.2 µm, using ZEN (Carl Zeiss, Inc.).
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Confocal image analysis was performed using Auto-PHLIP-ML, ImageJ software, and
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MATLAB. Thickness and biovolume were determined for the live and dead bacterial cells
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(SYTO 9 and PI staining), and EPS (Con A staining) components of the biofilm. Total
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biovolume and thickness were calculated by summing live, dead, and EPS components.
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Total Organic Carbon (TOC) and Protein Measurement. TOC and protein
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concentration of biofilm were quantified. For TOC measurements, membrane sub-sections (2 cm
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× 2 cm) were re-suspended in 24 mL sterile wastewater with 10 µL of 1 M HCl. Samples were
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then sonicated on ice in three 30-second cycles to remove organic content from the membrane. 6
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TOC in the resultant solution was then analyzed using a TOC analyzer (TOC-V, Shimadzu,
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Japan). TOC concentrations were normalized by membrane sample area. For protein
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quantification, membrane sub-sections (2 cm × 2 cm) were cut and suspended in 2 mL
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Eppendorf tubes with 1 mL 1X Lauber buffer (50 mM HEPES (pH 7.3), 100 mM NaCl, 10%
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sucrose, 0.1% 3-[(3-cholamidopropyl)-dimethylammonio]-1 propanesulfonate, and 10 mM
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dithiothreitol) and probe sonicated on ice (three 30-second cycles) using an ultra-cell disruptor.
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The membrane was then removed and cell extracts were centrifuged at 12,000 rpm for 10
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minutes to remove detritus matter. The supernatant was then collected for protein quantification
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using BCA protein assay kit (Thermo Scientific, IL).
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Determination of Reverse Draw Solution Flux. The reverse flux of draw solution in FO biofouling was determined using the total mass balance:
J salt =
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( Ct Vt − C0V0 ) At
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where C0 and Ct are the concentration of the draw solute in the feed at time 0 and t, respectively;
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V0 and Vt are the volume of the feed at time 0 and t, respectively; A is the membrane area, and t
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is the operating time of the FO experiment. Draw solute concentrations of NaCl, MgCl2, and
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CaCl2 in the feed solution were quantified by ion chromatography (Dionex, Thermo Scientific,
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IL) equipped with an IonPac CS14 cation-exchange column (4 mm × 250 mm (width × length),
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ion-exchange capacity of 1300 µeq), and 10 mM methanesulfonic acid eluent delivered at 1
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mL/min.
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EPS Extraction and Characterization. Bacterial EPS were extracted to elucidate the
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mechanism of interaction with reverse permeation of calcium or magnesium ions. Bacterial EPS
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extraction and purification followed a procedure described in our previous study
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biofilm culture of P. aeruginosa (ATCC 27853) was cultivated with 20 g of untreated glass
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fibers (Corning Glass Works, Corning, NY) in 250 mL of LB using a modified method
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employed by Liu and Fang 40. After the extraction, the EPS solution was filtered through a 0.2
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µm hydrophilic nylon filter (Millipore) and dialyzed through a membrane with a molecular
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weight cut-off of 3,500 Da (Spectra/Por).
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. Briefly, a
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For transmission electron microscopy (TEM) visualization, bacterial EPS extracts were
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dropped on a formvar/carbon coated copper grid (200 meshes, Tedpella, Inc., Redding, CA) and
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stained with acidic (pH 2.5) Alcian blue (500 mg/L) for 10 minutes at room temperature. Excess
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stain was then removed with a Whatman paper (Whatman, GE, Pittsburgh, PA). The grids were
187
air-dried at room temperature and samples were imaged with a FEI Tecnai Osiris microscope
188
(FEI, Hillsboro, OR), operating at an acceleration voltage of 200 kV.
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Dynamic and static light scattering were performed to investigate the interaction of
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bacterial EPS and calcium or magnesium ions. Light scattering experiments were conducted with
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a multiangle CGS-5000F goniometer setup (ALV GmbH) equipped with eight individual SO-
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SIPD optical detectors and a Verdi V2 continuous wave DPSS laser (COHERENT), operating at
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532 nm. Dynamic light scattering measurements were obtained with a fixed detector at 90°. Data
194
were collected in intervals of 30 seconds for all samples continuously over three hours. We
195
monitored the intensity of the scattered light as a proxy for the growth of the EPS gel
196
CONTIN analysis was used to obtain particle size distributions. For static light-scattering
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measurements, the normalized scattered light intensity was obtained simultaneously by all eight
198
detectors over an angular range of 17 – 135°, corresponding to wave vectors 0.0046 < q < 0.0305
199
nm-1.
41
.
200 201
RESULTS AND DISCUSSION
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Transport Properties of Pristine and Chlorine-Treated TFC FO Membranes. We
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chemically modified pristine TFC membranes by exposing the polyamide active layer to chlorine
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in order to obtain membranes with varying degrees of salt permeabilities or reverse salt flux.
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Table 1 summarizes key membrane transport parameters—water permeability (A), salt
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permeability (B), and membrane structural parameter (S)—of the pristine and chlorine-treated
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membranes, as determined following our previous publication 42.
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[Table 1]
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Exposure of the membrane polyamide active layer to chlorine alters the structure and
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properties of the polyamide layer, leading to an increase in water permeability and a decrease in 8
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membrane selectivity (i.e., salt rejection)
. Such an increase in both membrane A and B
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values is expected based on the established membrane permeability-selectivity tradeoff
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tradeoff is an intrinsic relationship between A and B, where increasing the water permeability is
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accompanied by a rapidly decreasing salt selectivity. The chlorine-treated membrane exhibited
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one-order of magnitude higher salt (NaCl) permeability compared to the pristine membrane
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(Table 1). As a result, reverse calcium and magnesium fluxes by the chlorine-treated membrane
217
were five times higher than those with the pristine membrane (Figures 1C and 2C).
218
[Figure 1]
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[Figure 2]
1, 45
; this
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Reverse Diffusion of Draw Solution Calcium Ions Exacerbates Biofouling.
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Reverse calcium permeation markedly enhanced FO membrane biofouling (Figure 1). Water flux
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decline was aggravated in the following increasing order: pristine TFC membrane using NaCl
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draw solution, pristine TFC membrane using CaCl2 draw solution, and chlorine-treated TFC
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membrane using CaCl2 draw solution (Figure 1A). The order of water flux decline correlated
225
with reverse calcium flux (Figure 1C), which increased from zero (pristine TFC membrane using
226
NaCl draw solution) to 12.2 mmol m-2 h-1 (chlorine-treated TFC membrane using CaCl2 draw
227
solution).
228
Reverse calcium diffusion significantly altered biofilm architecture (Figure 1B). Biofilm
229
thickness gradually increased as the reverse calcium flux increased. More importantly, at the
230
conclusion of biofouling, biofilm density of the chlorine-treated TFC membrane using CaCl2
231
draw solution was twice as high as that of the pristine TFC membrane using NaCl draw solution
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(Table 2). This increase in biofilm density was consistent with the biofilm image captured by
233
confocal microscopy (Figure 1B). The thick and dense biofilm structure induced by reverse
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calcium permeation accelerated the biofilm-enhanced osmotic pressure phenomenon 23, 46, where
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the biofilm hinders the back diffusion of salt into feed bulk solution, thus elevating the osmotic
236
pressure near the membrane surface on the feed side. As a result, the biofilm-enhanced osmotic
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pressure decreased the net osmotic pressure driving force, which resulted in a dramatic water
238
flux decline.
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[Table 2] 9
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We hypothesize that the formation of such thick and dense biofilm was driven by the
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specific interaction of calcium ions with bacterial EPS, as evidenced by the measured biofilm
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composition (Table 2). Specifically, we observed a significant increase in EPS biovolume, TOC
243
biomass, and total protein mass when reverse calcium flux increased (Table 2). The EPS
244
biovolume obtained from confocal microscopy also increased when reverse calcium flux
245
increased (Figure 1C). The increase in EPS biovolume was not induced by bacterial proliferation,
246
given the similar total cell volumes ranging from 33.3 µm3/µm2 (pristine TFC membrane using
247
NaCl draw solution) to 36.2 µm3/µm2 (chlorine-treated TFC membrane using CaCl2 draw
248
solution) (Table 2), but was mainly driven by calcium complexation with polysaccharides
249
resulting in a more stable and cohesive biofilm structure. Calcium ions can preferentially bind to
250
carboxyl groups of polysaccharides to form a highly interconnected network
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calcium complexation phenomenon was also observed in RO biofouling, where the presence of
252
calcium promoted EPS adsorption onto the membrane surface 32.
48
47
,
. A similar
253
Reverse Diffusion of Draw Solution Magnesium Ions Does Not Enhance
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Biofouling. Reverse magnesium flux did not have a significant effect on FO biofouling in
255
comparison with reverse calcium diffusion (Figure 2). Despite the chlorine-treated TFC
256
membrane exhibiting four times higher reverse magnesium flux than the pristine TFC membrane
257
(Figure 2C), only a relatively small difference in water flux decline was observed with the
258
chlorine-treated membrane and the pristine membrane (Figure 2A).
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No significant variation in the biofilm architecture (Figure 2B) and composition (Table 3)
260
took place when reverse magnesium permeation increased. For instance, biofilm thickness and
261
density were almost identical for the pristine (39 µm, 8.7 ng/µm2) and chlorine-treated (42 µm,
262
9.1 ng/µm2) TFC membrane (Table 3). In addition, negligible difference in biofilm composition,
263
particularly EPS biovolume, was observed between the pristine membrane (12.8 µm3/µm2) and
264
chlorine-treated membrane (15.1 µm3/µm2) using MgCl2 draw solution (Table 3).
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[Table 3]
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Calcium Complexation with Bacterial EPS is the Culprit for Enhanced
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Biofouling. According to our results, the reverse permeation of calcium or magnesium ions
268
resulted in dramatically different FO biofouling behaviors. We provide further support for this 10
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mechanism by comparing the aggregation profiles of bacterial EPS following the addition of
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calcium or magnesium ions using dynamic and static light scattering measurements (Figure 3).
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The aggregation profile of bacterial EPS in the presence of calcium ions was markedly different
272
from that in the presence of magnesium ions (Figure 3A). Following calcium addition, the light-
273
scattering intensity increased rapidly with time, indicating rapid gelation and growth of bacterial
274
EPS aggregates
275
bacterial EPS hydrodynamic radius (Rh) from 28 ± 2 to 70 ± 3 nm (Figure S1, Supporting
276
Information). By contrast, the light-scattering intensity of bacterial EPS in the presence of
277
magnesium ions remained unchanged for the entire aggregation experiment (Rh of 21 ± 2 nm,
278
Figure 3A).
41
. The increase in light-scattering intensity corresponds to the growth of
279
[Figure 3]
280
The addition of calcium ions triggered a dramatic change in the structure of bacterial EPS
281
aggregates (Figure 3B). A log/log plot of the relative scattering intensity (I/I0) as a function of
282
the wave vector (q) demonstrates the markedly different structure of bacterial EPS aggregates in
283
the presence of calcium or magnesium (Figure S2, Supporting Information). Specifically, for
284
bacterial EPS aggregates in the presence of calcium, the intensity profile scales as I/I0 ∼ q-Df,
285
with an exponent Df = 1.58, indicating a fractal dimension Df comparable to that expected for
286
diffusion-limited aggregation
287
bacterial EPS in the presence of magnesium (Figure 3B) is attributed to its small hydrodynamic
288
size (21 ± 2 nm) and suggests insignificant aggregation or gelation.
49
. By contrast, the nearly isotropic scattering profile of the
289
The light intensity data from static light-scattering measurements were also plotted as
290
Kc/R ~ q2 (with K being and optical constant, c the solution concentration, R the Rayleigh ratio,
291
and q the wave vector) to estimate the radius of gyration of bacterial EPS in the presence of
292
calcium or magnesium ions 47 (Figure S3, Supporting Information). The y-intercept in Figure S3
293
for bacterial EPS in the presence of calcium ions was nearly 20 times smaller than that in the
294
presence of magnesium ions, indicating the densification and gelation of bacterial EPS with the
295
addition of calcium ions
296
calcium (118 ± 6 nm) was four times larger than that in the presence of magnesium ions (25 ± 3
297
nm) (Figure S3 and Table S1, Supporting Information).
50
. Indeed, the radius of gyration of bacterial EPS in the presence of
11
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The markedly different structures of bacterial EPS aggregates were further verified by
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TEM imaging (Figures 3C and D). The TEM images show that bacterial EPS in the presence of
300
calcium ions is globular and thick, while that with magnesium ions is rod-shaped and patchy.
301
The light-scattering measurements and TEM imaging confirmed that complexation of
302
calcium ions to bacterial EPS resulted in accumulation of more polysaccharides on the
303
membrane surface
51-53
. Calcium ions, possessing a smaller hydrated radius (0.41 nm) than
54
304
magnesium (0.43 nm) , can form inner sphere complexes with carboxyl groups of bacterial EPS
305
55, 56
306
biofilm in comparison with magnesium. As a result, the tightly-bound biofilm structure hindered
307
back diffusion of salts into the feed bulk solution 4, 46, which exacerbated water flux decline due
308
to biofilm-enhanced osmotic pressure and impaired membrane performance.
. This ion complexation and bridging of EPS resulted in a thicker, denser, and more stable
309
The calcium complexation mechanism proposed here highlights the significant
310
enhancement in bacterial EPS aggregation and subsequent FO membrane biofouling due to
311
reverse permeation of calcium ions in comparison with magnesium ions. The proposed
312
biofouling mechanism agrees with previous results of enhanced RO membrane organic fouling
313
with calcium ions compared with magnesium ions. For instance, Lee and Elimelech observed
314
much stronger long-range adhesion forces of alginate in the presence of calcium ions than with
315
magnesium ions 57. They attributed this marked difference in the range of adhesion forces to the
316
specific interaction between calcium ions with the carboxylic groups of alginate and the
317
formation of a cross-linked gel network. In another study, atomic force measurements further
318
confirmed that calcium ions greatly enhanced humic acid fouling by complexation to humic acid,
319
compared with magnesium ions which did not complex to humic acid molecules 34.
320
Implications. The substantially higher biofouling propensity induced by reverse
321
permeation of calcium compared to that with magnesium has significant implications for
322
mitigating FO biofouling. More attention should be paid to the selection of a proper draw
323
solution in order to minimize FO biofouling. Our results suggest the use magnesium-based draw
324
solutions rather than calcium-based solutions, because calcium complexation with bacterial EPS
325
enhances membrane biofouling. However, with the development of FO membranes of high
326
selectivity, application of monovalent draw solution (such as NaCl) is desirable because of the 12
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higher draw solute diffusivity in comparison with divalent draw solutes 1, which minimizes
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internal concentration polarization, thereby achieving better membrane performance.
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AUTHOR INFORMATION
330
Corresponding Author
331
* Phone: +1 (203) 432-2789. Fax: +1 (203) 432-4387. Email:
[email protected] 332
Notes
333
The authors declare no competing financial interest.
334
ACKNOWLEDGMENTS
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We acknowledge the postdoctoral fellowship to E.B. by the United States-Israel Binational
336
Agricultural Research and Development (BARD) Fund. We also would like to thank Dr. Joseph
337
Wolenski from the Molecular, Cellular, and Developmental Biology Department at Yale
338
University for technical assistance in our use of the CLSM. We also acknowledge the use of
339
facilities (light scattering instrument and transmission electron microscopy) supported by
340
YINQE.
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ASSOCIATED CONTENTS
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Supporting Information
343
Details on water flux decline of pristine and chlorine-treated membrane using NaCl draw
344
solution (Figure S1), hydrodynamic radii of bacterial EPS with the addition of calcium or
345
magnesium as a function of time (Figure S2), estimated radius of gyration of bacterial EPS
346
aggregate with the presence of calcium or magnesium ions (Figure S3), calculated factual
347
dimension by a log-log plot of the relative intensity as a function of the wave vector (Figure S4),
348
and estimated radii of gyration and hydrodynamic radii for bacterial EPS aggregates with the
349
presence of magnesium or calcium ions (Table S1). This information is available free of charge
350
via the internet at http://pubs.acs.org/.
351
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25. Lee, K. Y.; Mooney, D. J., Alginate: properties and biomedical applications. Prog. Polym. Sci. 2012, 37, (1), 106-126.
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27. Boo, C.; Lee, S.; Elimelech, M.; Meng, Z.; Hong, S., Colloidal fouling in forward osmosis: Role of reverse salt diffusion. J. Membr. Sci. 2012, 390–391, (0), 277-284.
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28. Xie, M.; Nghiem, L. D.; Price, W. E.; Elimelech, M., Impact of humic acid fouling on membrane performance and transport of pharmaceutically active compounds in forward osmosis. Water Res. 2013, 47, (13), 4567-4575.
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29. She, Q.; Jin, X.; Li, Q.; Tang, C. Y., Relating reverse and forward solute diffusion to membrane fouling in osmotically driven membrane processes. Water Res. 2012, 46, (7), 24782486.
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30. Zou, S.; Wang, Y.-N.; Wicaksana, F.; Aung, T.; Wong, P. C. Y.; Fane, A. G.; Tang, C. Y., Direct microscopic observation of forward osmosis membrane fouling by microalgae: Critical flux and the role of operational conditions. J. Membr. Sci. 2013, 436, 174-185.
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31. Lee, S.; Elimelech, M., Relating organic fouling of reverse osmosis membranes to intermolecular adhesion forces. Environ Sci Technol 2006, 40, (3), 980-7.
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32. Herzberg, M.; Kang, S.; Elimelech, M., Role of Extracellular Polymeric Substances (EPS) in Biofouling of Reverse Osmosis Membranes. Environ. Sci. Technol. 2009, 43, (12), 4393-4398.
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33. Xiang, Y.; Liu, Y.; Mi, B.; Leng, Y., Molecular Dynamics Simulations of Polyamide Membrane, Calcium Alginate Gel, and Their Interactions in Aqueous Solution. Langmuir 2014, 30, (30), 9098-9106.
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34. Li, Q.; Elimelech, M., Organic Fouling and Chemical Cleaning of Nanofiltration Membranes: Measurements and Mechanisms. Environ. Sci. Technol. 2004, 38, (17), 4683-4693.
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35. Bar-Zeev, E.; Passow, U.; Romero-Vargas Castrillón, S.; Elimelech, M., Transparent Exopolymer Particles: From Aquatic Environments and Engineered Systems to Membrane Biofouling. Environ. Sci. Technol. 2015, 49, (2), 691-707.
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36. de Kerchove, A. J.; Elimelech, M., Calcium and Magnesium Cations Enhance the Adhesion of Motile and Nonmotile Pseudomonas aeruginosa on Alginate Films. Langmuir 2008, 24, (7), 3392-3399.
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37. Yip, N. Y.; Tiraferri, A.; Phillip, W. A.; Schiffman, J. D.; Hoover, L. A.; Kim, Y. C.; Elimelech, M., Thin-Film Composite Pressure Retarded Osmosis Membranes for Sustainable Power Generation from Salinity Gradients. Environ. Sci. Technol. 2011, 45, (10), 4360-4369.
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38. Yip, N. Y.; Tiraferri, A.; Phillip, W. A.; Schiffman, J. D.; Elimelech, M., High Performance Thin-Film Composite Forward Osmosis Membrane. Environ. Sci. Technol. 2010, 44, (10), 3812-3818.
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39. Bar-Zeev, E.; Zodrow, K.; Kwan, S.; Menachem, E., The importance of microscopic charaterization of membrane biofilms in an unconfined environment. Desalination 2014, 348, 815.
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40. Liu, H.; Fang, H. H. P., Extraction of extracellular polymeric substances (EPS) of sludges. J. Biotechnol. 2002, 95, (3), 249-256.
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41. Hintermair, U.; Hashmi, S. M.; Elimelech, M.; Crabtree, R. H., Particle Formation during Oxidation Catalysis with Cp Iridium Complexes. J. Am. Chem. Soc. 2012, 134, (23), 9785-9795.
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42. Cath, T. Y.; Elimelech, M.; McCutcheon, J. R.; McGinnis, R. L.; Achilli, A.; Anastasio, D.; Brady, A. R.; Childress, A. E.; Farr, I. V.; Hancock, N. T.; Lampi, J.; Nghiem, L. D.; Xie, M.; Yip, N. Y., Standard Methodology for Evaluating Membrane Performance in Osmotically Driven Membrane Processes. Desalination 2013, 312, 31-38.
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43. Kwon, Y.-N.; Leckie, J. O., Hypochlorite degradation of crosslinked polyamide membranes: II. Changes in hydrogen bonding behavior and performance. J. Membr. Sci. 2006, 282, (1–2), 456-464. 16
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44. Do, V. T.; Tang, C. Y.; Reinhard, M.; Leckie, J. O., Degradation of Polyamide Nanofiltration and Reverse Osmosis Membranes by Hypochlorite. Environ. Sci. Technol. 2012, 46, (2), 852-859.
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45. Geise, G. M.; Park, H. B.; Sagle, A. C.; Freeman, B. D.; McGrath, J. E., Water permeability and water/salt selectivity tradeoff in polymers for desalination. J. Membr. Sci. 2011, 369, (1–2), 130-138.
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46. Hoek, E. M. V.; Elimelech, M., Cake-Enhanced Concentration Polarization: A New Fouling Mechanism for Salt-Rejecting Membranes. Environ. Sci. Technol. 2003, 37, (24), 55815588.
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47. Sarkisova, S.; Patrauchan, M. A.; Berglund, D.; Nivens, D. E.; Franklin, M. J., CalciumInduced Virulence Factors Associated with the Extracellular Matrix of Mucoid Pseudomonas aeruginosa Biofilms. J. Bacteriol. 2005, 187, (13), 4327-4337.
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48. Fang, Y.; Al-Assaf, S.; Phillips, G. O.; Nishinari, K.; Funami, T.; Williams, P. A.; Li, L., Multiple Steps and Critical Behaviors of the Binding of Calcium to Alginate. J. Phys. Chem. B 2007, 111, (10), 2456-2462.
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49. Mylon, S. E.; Chen, K. L.; Elimelech, M., Influence of Natural Organic Matter and Ionic Composition on the Kinetics and Structure of Hematite Colloid Aggregation: Implications to Iron Depletion in Estuaries. Langmuir 2004, 20, (21), 9000-9006.
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50. Shen, C. L.; Fitzgerald, M. C.; Murphy, R. M., Effect of acid predissolution on fibril size and fibril flexibility of synthetic beta-amyloid peptide. Biophys. J. 1994, 67, (3), 1238-1246.
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51. de Kerchove, A. J.; Elimelech, M., Formation of Polysaccharide Gel Layers in the Presence of Ca2+ and K+ Ions: Measurements and Mechanisms. Biomacromolecules 2006, 8, (1), 113-121.
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52. Hong, S.; Elimelech, M., Chemical and physical aspects of natural organic matter (NOM) fouling of nanofiltration membranes. J. Membr. Sci. 1997, 132, (2), 159-181.
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53. Seidel, A.; Elimelech, M., Coupling between chemical and physical interactions in natural organic matter (NOM) fouling of nanofiltration membranes: implications for fouling control. J. Membr. Sci. 2002, 203, (1–2), 245-255.
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54. Nightingale, E. R., Phenomenological Theory of Ion Solvation. Effective Radii of Hydrated Ions. J. Phys. Chem. 1959, 63, (9), 1381-1387.
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55. Bruni, F.; Imberti, S.; Mancinelli, R.; Ricci, M. A., Aqueous solutions of divalent chlorides: Ions hydration shell and water structure. J. Phys. Chem. 2012, 136, (6), -.
496 497
56. Piirtola, L.; Uusitalo, R.; Vesilind, A., Effect of mineral materials and cations on activated and alum sludge settling. Water Res. 2000, 34, (1), 191-195.
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57. Lee, S.; Elimelech, M., Relating Organic Fouling of Reverse Osmosis Membranes to Intermolecular Adhesion Forces. Environ. Sci. Technol. 2006, 40, (3), 980-987.
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Table 1: Key membrane transport parameters (average ± standard deviation from triplicate
501
measurement) of pristine and chlorine-treated thin-film composite polyamide FO membrane
502 A
B
NaCl rejection
S
(L m-2 h-1 bar-1)
(L m-2 h-1)
(%)
(µm)
Pristine
1.72 ± 0.02
0.17 ± 0.01
98.1 ± 0.8 %
425 ± 31
Chlorine-treated
2.93 ± 0.04
1.42 ± 0.08
93.3 ± 1.0%
413 ± 20
Membrane
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Table 2: Comparing key parameters of biofilm architecture and composition using NaCl and CaCl2 draw solution by pristine and
505
chlorine-treated thin-film composite (TFC) membranes
506 Biofilm architecture
Biofilm composition
Average biofilm a thickness (µm)
Biofilm density (ng/µm3) b
“Live” cell biovolume a (µm3/µm2)
“Dead” cell biovolume a (µm3/µm2)
EPS biovolume a (µm3/µm2)
Total protein mass (pg/µm2) c
TOC biomass (pg/µm2) c
Pristine TFC membrane, NaCl draw
37 ± 2
8.3 ± 1.1
21.2 ± 4.1
12.1 ± 2.3
8.3 ± 3.6
21.7 ± 2.5
0.33 ± 0.07
Pristine TFC membrane, CaCl2 draw
40 ± 3
8.9 ± 0.8
22.5 ± 5.1
14.6 ± 1.1
9.9 ± 2.2
28.1 ± 4.5
0.41 ± 0.03
Chlorine-treated TFC membrane, CaCl2 draw
66 ± 4
18 ± 1
24 ± 2.4
12.2 ± 2.9
25.6 ± 1.4
43.1 ± 6.2
1.27 ± 0.05
Operating condition
507 508
a
biofilm thickness and biovolume were averaged, with standard deviation (SD) calculated from ten random samples in duplication experiments. b
509
Biofilm density was estimated by TOC biomass per total biovolume (including “live”, “dead” and EPS). c Average TOC and protein biomasses
510
were presented with SD calculated from four measurements by two membrane coupons.
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Table 3: Comparing key parameters of biofilm architecture and composition using NaCl and MgCl2 draw solution by pristine and
512
chlorine-treated thin-film composite (TFC) membranes
513 Biofilm architecture
Biofilm composition
Average biofilm a thickness (µm)
Biofilm density b (ng/µm3)
“Live” cell biovolume a (µm3/µm2)
“Dead” cell biovolume a (µm3/µm2)
EPS biovolume a (µm3/µm2)
Total protein mass a (pg/µm2)
TOC biomass c (pg/µm2)
Pristine TFC membrane, NaCl draw
37 ± 2
8.3 ± 1.1
21.2 ± 4.1
12.1 ± 2.3
8.3 ± 3.6
21.7 ± 2.5
0.33 ± 0.07
Pristine TFC membrane, MgCl2 draw
39 ± 1
8.7 ± 1.2
18.6 ± 1.1
13.4 ± 4.5
12.8 ± 2.9
30.7 ± 4.5
0.39 ± 0.06
Chlorine-treated TFC membrane, MgCl2 draw
42 ± 4
9.1 ± 1.2
19.6 ± 1.1
11.4 ± 5.5
15.1 ± 1.8
31.1 ± 2.5
0.42 ± 0.07
Operating condition
514 515
a
biofilm thickness and biovolume were averaged, with standard deviation (SD) calculated from ten random samples in duplication experiments. b
516
Biofilm density was estimated by TOC biomass per total biovolume (including “live”, “dead” and EPS). c Average TOC and protein biomasses
517
were presented with SD calculated from four measurements by two membrane coupons.
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Figure 1: (A) Representative water flux in forward osmosis biofouling as a function of
522
cumulative permeate volume. (B) Representative three-dimensional biofilm architecture was
523
captured by confocal laser scanning microscope (CLSM) (a perspective of a 635 µm × 635 µm
524
field of view), taken at the conclusion of each biofouling run. Biofilms were stained with Con A
525
(blue), SYTO 9 (green), and PI (red) dyes specific for EPS (polysaccharides), “live” cells, and
526
“dead” cells, respectively. (C) EPS biovolume as a function of reverse Ca2+ flux. Error bars
527
represent standard deviations for both reverse Ca2+ flux (four measurements in duplicate
528
experiments) and EPS biovolumes (ten random samples in duplication experiments).
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Figure 2: (A) Representative water flux in forward osmosis biofouling as a function as
532
cumulative permeate volume. (B) Representative three-dimensional biofilm architecture was
533
captured by confocal laser scanning microscope (CLSM) (a perspective of a 635 µm × 635 µm
534
field of view), taken at the conclusion of each biofouling run. Biofilms were stained with Con A
535
(blue), SYTO 9 (green), and PI (red) dyes specific for EPS (polysaccharides), “live” cells, and
536
“dead” cells, respectively. (C) EPS biovolume as a function of reverse Mg2+ flux. Error bars
537
represent standard deviations for both reverse Mg2+ flux (four measurements in duplicate
538
experiments) and EPS biovolumes (ten random samples in duplication experiments).
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Figure 3: (A) Dynamic and (B) static light scattering measurements of bacterial EPS
542
aggregation with calcium or magnesium ion. Representative TEM image of (C) bacterial EPS
543
aggregate with the presence of calcium ions and (D) bacterial EPS aggregate with the presence
544
of magnesium ions.
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