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Environmental Processes
Partitioning and Accumulation of Perfluoroalkyl Substances in Model Lipid Bilayers and Bacteria Nicole J.M. Fitzgerald, Andreas Wargenau, Carlise Sorenson, Joel A. Pedersen, Nathalie Tufenkji, Paige J Novak, and Matt Francis Simcik Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.8b02912 • Publication Date (Web): 27 Aug 2018 Downloaded from http://pubs.acs.org on August 28, 2018
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Partitioning and Accumulation of Perfluoroalkyl Substances in Model Lipid Bilayers and
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Bacteria
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Nicole J.M. Fitzgerald1,2*, Andreas Wargenau3, Carlise Sorenson4, Joel Pedersen5, Nathalie
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Tufenkji3, Paige J. Novak1, Matt F. Simcik6*
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Pillsbury Drive SE, Minneapolis, Minnesota 55455
Department of Civil, Environmental, and Geo- Engineering, University of Minnesota, 500
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Current Address: Department of Civil and Environmental Engineering, Colorado School of
Mines 1012 14th Street, Golden, CO 80401
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Quebec H3A 0C5
Department of Chemical Engineering, McGill University, 3610 University Street, Montreal,
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Ave, Saint Paul, MN 55108
Department of Bioproducts and Biosystems Engineering, University of Minnesota, 1390 Eckles
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Wisconsin, 1525 Observatory Drive, Madison, WI 53706
Departments of Soil Science, Civil & Environmental Engineering, and Chemistry, University of
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55455
School of Public Health, University of Minnesota, 420 Delaware St. S.E. Minneapolis, MN
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*Co-corresponding authors to whom correspondence should be addressed: NJMF: phone: 847-
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791-2844, email:
[email protected]; MFS: phone 612-626-6269, email:
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[email protected] ACS Paragon Plus Environment
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ABSTRACT: Perfluoroalkyl substances (PFAS) are ubiquitous and persistent environmental
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contaminants, yet knowledge of their biological effects and mechanisms of action is limited. The
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highest aqueous PFAS concentrations are found in areas where bacteria are relied upon for
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functions such as nutrient cycling and contaminant degradation, including fire-training areas,
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wastewater treatment plants, and landfill leachates. This research sought to elucidate one of the
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mechanisms of action of PFAS by studying their uptake by bacteria and partitioning into model
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phospholipid bilayer membranes. PFAS partitioned into bacteria as well as model membranes
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(phospholipid liposomes and bilayers). The extent of incorporation into model membranes and
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bacteria was positively correlated to the number of fluorinated carbons. Furthermore,
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incorporation was greater for perfluorinated sulfonates than for perfluorinated carboxylates.
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Changes in zeta potential were observed in liposomes but not bacteria, consistent with PFAS
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being incorporated into the phospholipid bilayer membrane. Complementary to these results,
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PFAS were also found to alter the gel-to-fluid phase transition temperature of phospholipid
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bilayers, demonstrating that PFAS affected lateral phospholipid interactions. This investigation
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compliments other studies showing that sulfonated PFAS and PFAS with more than seven
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fluorinated carbons have a higher potential to accumulate within biota than carboxylated and
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shorter chain PFAS.
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INTRODUCTION
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Perfluoroalkyl substances (PFAS) are ubiquitous in the environment and are associated with a
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variety of negative effects in organisms.1–3 In humans, PFAS serum concentrations have been
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correlated with thyroid disease4 and decreased fecundity5. In children, perfluorooctanoic acid
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(PFOA) and perfluorooctane sulfonate (PFOS) serum concentrations were negatively correlated
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with serum antibody concentrations for routine vaccinations, indicating a decrease in immune
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response.6 PFAS have also been associated with an inhibition in gap junction communication in
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rat and dolphin cell lines.7 The effects of PFAS on bacteria have received less attention, although
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at concentrations of 22-110 mg/L they increased floc formation of Rhodococcus jostii8 and
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inhibited microbial degradation of trichloroethylene by Dehalococcoides mccartyi
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enrichments.9,10 At lower concentrations (100 µg/L), PFAS increased bacterial mobility in a
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model aquifer system,11 and at concentrations as low as 10 µg/L, PFOS increased the sensitivity
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of the quorum sensing response in Aliivibrio fischeri.12 PFAS clearly affect a variety of biota, yet
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their mechanisms of action, and whether they are similar in bacteria and eukaryotes, remain
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unclear.
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PFAS are amphiphilic compounds, suggesting they may partition into cell membranes and alter
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membrane properties.13–17 PFOA and PFOS have been shown to partition to phospholipid
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bilayers where they alter disrupt the packing of the acyl chains of phospholipids and alter
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membrane properties.18 A recent study showed that PFAS with different head groups and
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perfluorinated chain lengths between 4 and 8 carbons partitioned into model membranes,
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displacing phospholipids and altering bilayer properties even after the PFAS were removed from
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the aqueous phase.19 Partitioning of PFOS, perfluorobutane sulfonate (PFBS), and PFOA into
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phospholipid bilayers at mg/L to g/L concentrations increases bilayer fluidity.13,15,20,21 This
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increase in fluidity is dose-dependent for PFOS from 10 to 200 mg/L.13 Little research has been
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performed on the partitioning and subsequent biological effect of PFAS with six or fewer
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fluorinated carbons, so-called short-chain PFAS; nevertheless, one study showed that PFBS did
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partition into phospholipid membranes, increasing fluidity at concentrations of 450 to 3,600
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mg/L.15
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While the potential for PFAS to change membrane properties in model systems is apparent,
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PFAS can also interact with proteins. PFAS bind to several sites on serum albumin22,23 and can
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be transported into some eukaryotic cells by fatty acid-binding liver proteins5,24 and organic
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anion transporters5,22. The affinity of PFAS to protein was evident when PFAS accumulation was
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studied in Daphnia magna; the presence of albumin in solution decreased PFAS partitioning to
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Daphnia magna, showing preferential PFAS binding to albumin.25 Similarly, a study modeling
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PFAS bioaccumulation in different organisms found that protein and phospholipid partitioning
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descriptors were both required to accurately describe bioaccumulation.22 The interactions of
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PFAS and protein adds a level of uncertainty with respect to how PFAS will partition in bacteria,
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particularly given the differences in bacterial and eukaryote cell structures and the variation
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within proteins of different organisms.
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Bacteria are critical for many ecological functions and may behave differently than higher
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organisms with respect to PFAS accumulation. Bacteria are often exposed to elevated
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concentrations of PFAS in engineered systems where we rely on their metabolic functions to
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treat waste. Recently, industries have been switching to the use of more short-chain PFAS.26,27
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The environmental behavior and subsequent biological impacts of these short-chain PFAS have
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received little study and are poorly understood, particularly in bacteria. The role of the PFAS
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head group with respect to partitioning tendencies is also unclear. Current health standards treat
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PFOS and PFOA as equivalent, while experimental observations show that these two PFAS
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partition differently and cause biological effects at different concentrations.6,12,16,20,24,28,29 To
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address some of these knowledge gaps, particularly as they pertain to bacteria, we focused on the
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partitioning of PFAS into model membranes (liposomes and supported phospholipid bilayers)
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and bacteria (Gram-positive and -negative). This research also investigated some of the resulting
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effects as a function of PFAS functional group and fluorinated chain length.
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METHODS
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Chemicals. The effect of perfluorinated chain length and functional group was examined by
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performing experiments with three perfluorinated carboxylates and three perfluorinated
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sulfonates of varying fluorinated chain lengths. Perfluorobutanoate (PFBA, CAS 375-22-4),
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perfluorooctane (PFOA, CAS 335-67-1), perfluorononanoate (PFNA, CAS 375-95-1),
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perfluorobutane sulfonate (PFBS, CAS 375-73-5), perfluorohexane sulfonate (PFHxS, CAS 355-
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46-4), and perfluorooctane sulfonate (PFOS, CAS 1763-23-1), containing 3, 7, 8, 4, 6, and 8
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perfluorinated carbons, respectively, were tested. Mass-labeled internal standards were
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purchased from Wellington Laboratories. Additional details on the PFAS used are found in the
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Supporting Information. The phospholipids 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine
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(POPC) and 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC), both dissolved in
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chloroform at 25 mg/mL, were purchased from Avanti Polar Lipids, Inc. and were > 99 % pure.
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Lipid solutions were stored at –20 °C. Two different phospholipids were used in experiments
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(described below) to satisfy the fluidity and phase transition requirements of each experiment.
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Culture Preparation. In this research, both Gram-positive (Staphylococcus epidermidis, ATCC
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12228) and Gram-negative bacteria (Aliivibrio fischeri mutant strain DC43 from Dr. Eric
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Stabb30) were evaluated. Source liquid cultures, started from cultures grown on solid Luria-
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Bertani-Salt (LBS) medium,31 were grown for 24 h in liquid LBS medium and used to inoculate
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experimental cultures. Bacteria used in experiments were inoculated into LBS with 1% source
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culture and grown while mixed for 48 and 18 h for the partitioning and zeta potential
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experiments, respectively (Figure SI.1). Bacteria used in the partitioning experiments were
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grown for a longer time frame to accumulate more biomass to facilitate measurement of PFAS in
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the biomass. S. epidermis was grown at 37 °C, and A. fischeri was grown at room temperature
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(21-22 °C).
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Liposome Preparation. To prepare liposomes, 1 mL of POPC dissolved in chloroform was
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transferred to an ashed serum vial and chloroform was evaporated overnight under a stream of
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pre-purified nitrogen. POPC was re-suspended in 5 mL phosphate buffer (pH 7.4, 4.9 g/L NaCl,
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1.19 g/L K2HPO4, 0.29 g/L KH2PO4) filtered with a pre-rinsed 0.22-µm membrane and then
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extruded 15 times through a 100-nm polycarbonate membrane using a Mini Extruder (Avanti
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Polar Lipids Inc.). After extrusion, liposomes were diluted in filtered phosphate buffer to a lipid
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concentration of 1 mg/mL. Liposome size distribution was verified using a ZetaPALS Potential
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Analyzer (Brookhaven Instruments).
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DMPC liposomes for the formation of supported phospholipid bilayers (SPB) in the quartz
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crystal microbalance with dissipation monitoring (QCM-D) were prepared in a similar manner
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with DMPC, as described in Wargenau and Tufenkji.32
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Experimental Design
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Determination of PFAS Partitioning to Bacteria. Sorption of PFBA, PFOA, PFNA, PFBS,
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PFHxS, and PFOS to both live and dead bacteria was measured to determine if active PFAS
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uptake occurred. After 48 h of growth, bacteria were washed twice with phosphate buffer and
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resuspended in 80% of the original volume of phosphate buffer (800 mL), and total bacteria, as
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mass dry solids, was measured. Details regarding mass measurements can be found in the
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Supporting Information. Aliquots (10 mL) of washed bacteria transferred into sterile
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polypropylene centrifuge tubes. Half of the bacterial aliquots were killed via addition of sodium
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azide to a final concentration of 50 mM. Each PFAS was added to the washed bacteria (live and
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dead) at a target concentration of 750 µg/L via methanol stock. PFAS-free controls were
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included to verify the lack of PFAS contamination; control aliquots received PFAS-free
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methanol (less than 0.25% of the total volume) so that all treatments (PFAS-containing or PFAS-
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free) contained equivalent amounts of methanol. All treatments were performed in triplicate.
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During each experiment, centrifuge tubes were shaken on an orbital rotator at 18 rpm for 20 h,
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after which the solid and liquid fractions were separated by centrifugation at 2,500 rcf for 15
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min. A 0.5-mL sample was taken of the supernatant, and the rest of the supernatant was
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discarded. The supernatant and remaining solids sample were analyzed for PFAS as described
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below. The samples containing live PFOS-exposed Gram-positive bacteria were spilled and lost
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immediately prior to PFAS analysis.
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PFAS Analytical Methods. The liquid media collected during the partitioning experiments (0.5
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mL) were diluted with a 0.5-mL addition of methanol (Optima Grade, Fisher Scientific) for
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analysis. Following dilution, a known quantity of the mass-labeled standard corresponding to the
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analyte of interest was added to each sample.
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The solid fractions were extracted three times with methanol, after which all extracts were
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pooled and a mass-labeled internal standard was added. The pooled extracts were concentrated
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under a stream of nitrogen and analyzed via a Hewlett Packard 1100 HPLC connected to a
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Hewlett Packard 1100 mass spectrometer operated in negative ionization mode. Ions were
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detected in selective ion monitoring mode. Methanol blanks were run between each sample and
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an analytical standard was run every 6 samples. Experimental and method blanks were run every
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8 samples. More details on the analytical approach can be found in the Supporting Information
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and Table SI.2.
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Effect of PFAS on Zeta Potential. Surface accumulation of PFAS on bacteria and liposomes
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was determined through zeta potential measurements. Bacteria were grown, washed three times
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with phosphate buffer, and resuspended in an equal volume of phosphate buffer. Washed
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bacteria were aliquoted into test tubes and amended in duplicate with either methanol (control) or
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50 mg/L PFBS, PFHxS, PFOS, PFBA, PFOA, or PFNA in a methanol stock. Equal quantities of
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methanol were added to all treatments and represented less than 0.25% of the total volume.
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Bacteria were incubated at room temperature with PFAS for 20 min prior to zeta potential
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measurements. Bacteria were incubated for 20 min because partitioning to suspended lipid
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bilayers was rapid (Figure 2). The suspended solids concentration was measured in each replicate
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culture. Details can be found in the Supporting Information.
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The interactions of PFAS on liposomes was tested in a similar manner. Briefly, liposomes in
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phosphate buffer were aliquoted into test tubes. PFAS were added via methanol stock, and all
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treatments, including a PFAS-free control, contained equivalent amounts of methanol. The
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concentration of liposomes was equivalent to the mass of the phospholipid POPC present, 1
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mg/mL.
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Electrophoretic mobilities were measured using a ZetaPALS Potential Analyzer (Brookhaven)
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and zeta potentials estimated using the Smoluchowski equation.33 Each measurement was taken
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five times, and particle diameter and suspended solids concentration were determined before
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analysis. Zeta potential values calculated in the five measurement cycles were evaluated for
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increasing or decreasing trends and if such trends were detected, the measurement was repeated.
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PFAS Incorporation into Supported Phospholipid Bilayers and Impact on Phase Transition.
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A quartz crystal microbalance with dissipation monitoring (QCM-D, Q-Sense E1, Biolin
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Scientific) was used to evaluate the extent of PFAS incorporation into phospholipid bilayers and
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the concomitant effect on their gel-fluid phase transition behavior. QCM-D experiments were
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performed with a Q-Sense flow module and silica-coated QCM-D crystals (Biolin Scientific,
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QSX 303) upon which SPBs were formed. Details are provided in the Supporting Information.
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PFAS incorporation into the bilayer was tested consecutively. To begin, an initial PFAS-free
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control experiment was performed with a quantity of methanol equivalent to bilayer exposed to
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PFAS. Tris buffer amended with methanol was injected into the QCM-D flow module for 5 min.
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After 5 min, the pump was turned off and the bilayer was equilibrated under stagnant conditions
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(15 min) while subjected to a linear temperature variation (from 30°C to 15°C at 0.3°C/min).
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After this, the bilayer was re-equilibrated at 30°C and the bilayer was exposed to PFAS in Tris
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buffer. Experiments were performed with PFBS (50 mg/L), PFOS (0.1 mg/L, 0.3 mg/L, 1 mg/L,
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5 mg/L, and 50 mg/L), PFBA (50 mg/L), PFOA (1 mg/L, 50 mg/L), and PFNA (1 mg/L, 50
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mg/L) added to Tris via methanol stock. The PFAS were injected into the QCM-D for 15 min
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and allowed to partition into the SPB for an additional hour. After one hour of equilibration
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under stagnant conditions, the temperature was varied as described above.
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The QCM-D data was analyzed as described in the Supporting Information.
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Data Analysis
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Kbacteria Analysis. Solid-water partitioning is described by the distribution ratio, Kbacteria. The
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equation used to determine this partitioning coefficient is given below, with Cs and Cw
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representing the equilibrium PFAS concentration in the solid and aqueous phases, respectively.
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The mass of the bacteria was determined through suspended solids measurements.
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Kbacteria =
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Statistical differences between Kbacteria values were determined using the two-sided Student’s t-
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test with Welch’s correction or Spearman’s correlation, as detailed in the Supporting
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Information. For all statistical analyses, a P