2.1 Membranes synthesis and characterization
SEM) images (Fig. 1) confirm the successful synthesis of MMCNF membranes, prepared with three different mass loading of β-cyclodextrin (Table 1), 0% (M0), 6% (M6), and 8% (M8).
Table. 1 Composition and other properties of M0, M6, and M8
Membrane
|
PES (wt % of dope solution)
|
Dexsorb (wt % of dope solution)
|
NMP solvent (%)
|
M0
|
17
|
0
|
83
|
M6
|
17
|
6
|
77
|
M8
|
17
|
8
|
75
|
Loadings greater than 8% resulted in a non-usable brittle support layer due to the size of the adsorbent particle (see below) and the high viscosity of the casting mixture. Plan view image of the M0 surface (Fig. 1a) showed a smooth surface typical to a layer-by-layer assembly of polyelectrolytes33, and the cross-section image of M0 (Fig. 1b) revealed the asymmetric sponge structure typical to PES ultrafiltration membranes (through non-solvent-induced phase separation). No particles appear on either image. In contrast, plan view and cross-section SEM images of membranes M6 and M8 (Fig. 1c-f) revealed distinct particles on the membrane surface and within the porous support. The embedded particles are uniformly distributed, and their observed density was higher for the membrane with the higher β-cyclodextrin loading (M8) as expected. Furthermore, the particle sizes observed with SEM match the particle diameter range of 1-20 µm, measured independently in solution via electrical zone sensing (Fig. 2S).
The incorporation of β-cyclodextrin particles affected the properties of the PES support layer and the active NF surface layer. In M0, the SEM imaging revealed macro voids underneath the skin layer (Fig. 1b), while M6 and M8 had a more unidirectional micropore structure (Fig. 1d & 1f). This structural difference may be attributed to the delayed mass transfer and solvent and nonsolvent demixing during the MMCNF membrane casting process18,19. A decrease in void volume was confirmed by measuring the bulk porosity (Fig. 2a), which was slightly lower for the MMCNF membranes compared to the pure PES. Surface-bound β-cyclodextrin particles affected the MMCNF surface roughness and charge. The surface roughness of M8 was higher than M0 and had a greater variance, as indicated by the root mean square roughness (Rq) measured using AFM (Fig. 2c). Lower negative surface charge (zeta potential) was recorded for M0 compared to M6 and M8 (Fig. 2b) at ambient pH range (5-9). This loss of negative charge is due to the commercial sorbent being a mixture of positively charged and neutral β-cyclodextrin particles.
The embedded β-cyclodextrin particles also affected the filtration performances of the MMCNF membranes. The pure water permeability increased with increased particle mass load (Fig. 2d), reaching a ~28% increase for M8 compared to M0. The increased permeability suggests a more loose structure of the polyelectrolyte multilayer, which may be attributed to the increased surface roughness (Fig. 2b) caused by near-surface particles. The MWCO of the NF membranes also increased with particle loading (Fig. 2e), indicating increased effective pore size and affirming a more loose active layer structure for MMCNF membranes. Further support was obtained from the decrease in Na2SO4 rejection with increased particle loading (Fig. 2e), which may be partly attributed also to the smaller negative surface charge (Fig. 2b) in the MMCNF membranes. Compared to M0, M8 had ~5% higher MWCO and 6% lower Na2SO4 rejection. In summary, the β-cyclodextrin particles embedded in the support significantly improved membrane permeability while only slightly affecting neutral and charged solute removal.
2.2 PFOA retention improved upon increasing adsorbent loading
Preliminary experiments with high PFOA feed concentrations (161-345 ppb) revealed that higher loadings of β-cyclodextrin significantly increased PFOA removal efficiency (Fig. 3a). Filtration experiments were carried out with loadings of 0 % (M0), 6 % (M6) and 8 % (M8) w/w (Table 1), using a typical filtration setup (Fig. 1S) operating in a full recirculation mode. During the first 3h of filtration, the control (M0) membrane achieved PFOA removal of ~97%, but afterward, the rejection declined, reaching about 73% after 20 h. Using the M6 membrane, PFOA concentration in the permeate was below the detection limit (1 µg/L) for 10 hours, represented as 100% removal (Fig. 3a). After 20 hours, PFOA was detected in the permeate at a low concentration corresponding to ~99.7% removal and the removal declined to ~99% after 33 hrs. For the membrane with the highest loading, M8, the removal was greater than 99.9% throughout the experimental time (33h). These preliminary results pointed to the potential of the MMCNF concept as an effective barrier for PFAS.
Adsorption and saturation of PFOA in the membranes partly explain the PFOA removal trends (Fig. 3a). As illustrated in Fig. 3b, PFOA removal occurs via two mechanisms: (1) rejection by the NF layer; and (2) adsorption either in the NF layer or the porous support. Consequently, the rejection data form a 'breakthrough curve' shape that depends on the NF layer base-level rejection, adsorption capacity, and kinetics. Batch adsorption results (Table 1S & Fig. 6S) revealed that M8 adsorption capacity for PFOA (5368 µg / gmembrane) is higher than that of M0 (5.99 µg / gmembrane) by a factor of almost 1000. In M8, PFOA was mainly adsorbed on the β-cyclodextrin embedded in the PES support. In contrast, in M0 (which has no β-cyclodextrin), only the pDADMAC-PSS active layer or the PES could provide adsorption sites for PFOA34–36. Accordingly, PFOA saturation occurred faster for M0, leading to the early drop in the PFOA removal rate until reaching a steady state at ~73%. In contrast, M8 achieved almost complete removal throughout the experiment. For M6, PFOA removal declined earlier than M8 due to its lower β-cyclodextrin loading but higher than M0, supporting the filtration-adsorption explanation. The fact that the removal rate remains high in the MMCNF membranes is addressed at the end of this section. Following these results, the M8 membrane was selected for further investigations and is referred to as MMCNF below.
2.3 The MMCNF membrane achieved high PFOA removal in several filtration-regeneration cycles
In the filtration experiments described in the previous section, the high PFOA feed concentration (161-345 µg/L) enabled us to observe breakthrough behavior in practical experimental times and to compare the composite membranes accordingly. In the current sections, we tested the MMCNF performances under lower feed concentrations (~45 µg/L in milli-Q water), such as those found in highly PFOA-contaminated groundwater1. Feed concentration may affect removal efficiency depending on the adsorption isotherm and kinetics. Demonstrating high removal at different feed concentrations during longer operation times is imperative.
The highly effective PFOA removal by the M8 MMCNF membrane was maintained in four consecutive cycles during the entire filtration time (Fig. 4). We conducted four filtration-regeneration cycles using the same membrane. Ethanol was used for PFOA desorption due to its lower toxicity than methanol used in previous studies37. PFOA removal was consistently greater than 99.8% during the 1st and 2nd cycles for 160 and 185 hours, respectively (Fig, 4a-b). In the 3rd and 4th cycles (fig. 4C), PFOA removal slightly decreased but remained very high (99.25-99.9%). Due to the high removal rate, PFOA permeate concentrations were below the EU and EPA 2020 recommendations (0.1 & 0.07 µg/L, respectively), despite the high PFOA feed concentration (45 µg/L, much higher than in typical for contaminated groundwater). A decreasing trend in the PFOA removal rate in the final stages of filtration was not observed in any cycle, indicating that vacant adsorption sites remained. Extrapolation of these results to a more typical (yet still high) groundwater PFOA concentration (e.g., 0.5 µg/L) suggests an effective removal for over two years can be achieved before regeneration is needed.
High PFOA removal efficiency was maintained during filtration and after regeneration throughout all cycles, indicating that the MMCNF was stable in water and ethanol (Fig. 4a-c). In the 4th cycle, the initial removal rate was lower but later recovered. Filtration experiments using (i) milli-Q water and (ii) 1 mM Na2SO4 after each cycle showed a decline in pure water flux (~25%), whereas the salt rejection did not show a significant trend. Interestingly, immersing the membrane in ethanol for four days resulted in an opposite trend, i.e., a 25% increase in pure water flux (Fig. 7S.). Ethanol was previously found to affect the interactions in PSS-PDADMAC complexes38. The salt rejection was decreased by 9%, consistent with the filtration experiments. Fluctuations in water permeability and salt rejection were previously recorded for polyelectrolyte multilayers and can be ascribed only to the thin NF layer39. NF layer stability will be tested for longer times in the future and can be further improved by, e.g., cross-linking.
2.4 High PFOA removal was maintained for spiked tap water
When using the MMCNF to treat PFOA-spiked tap water, the removal rate was very high in three consecutive filtration-regeneration cycles, despite competing inorganic ions40 and other trace organics (Fig. 5a-b). A reproducible breakthrough behavior, typical to adsorption, was observed after ~45h for the 1st and 3rd cycles and ~32h for the 2nd cycle. The breakthrough behavior can be related to the higher PFOA feed concentration (~500 µg/L) used in tap water, which was ~10-fold higher than in the DI experiments depicted in Fig. 4. The first 45h, in which the MMCNF membrane achieved 99.9% PFOA removal, translates to ~712 L of treated drinking water for every m2 of the membrane (Fig. 5a) before regeneration is needed. Extrapolating to a more typical PFOA concentration in contaminated groundwater (0.5 µg/L) translates into several years of operation at a typical flux (15-25
Low eluent volume in the desorption step resulted in a concentrated PFOA-in-ethanol solution. Concentrating PFOA from a diluted source could facilitate cheaper and more effective destruction or disposal. Similar to the DI experiments, regeneration after spiked tap-water filtration fully restored the membrane adsorption capacity. PFOA removal rate returned to the high initial value after each regeneration step (Fig. 3b), indicating successful desorption, further affirmed by the high PFOA concentration in the ethanol eluent (Fig. 3c). The regeneration step did not significantly affect the salt rejection. At the same time, pure water permeability decreased by ~30% (Fig. 8S), whereas the average water flux during the filtration steps decreased only by 12% (Fig. 5C). mass balance revealed that PFOA was concentrated in ethanol by a factor of 10-38 compared to the feed, with a 29% PFOA surplus in ethanol after the 2nd cycle (Fig 9Sa) and a 19% deficit after the 3rd cycle (Fig 9Sb). These discrepancies may be related to adsorption/desorption from tubing or analytical issues. We expect much higher concentration factors would be attainable for a lower eluent-volume to membrane-surface area ratio and lower PFOA feed concentration, which requires long-duration experiments and a higher membrane surface area than reported here. Nevertheless, the results indicate that MMCNF can remove PFOA from a diluted source into a concentrated solution (retentate or eluent) in a reusable manner.
2.5 PFOA adsorption enhances its rejection by affecting the membrane surface charge
PFOA removal by the MMCNF occurs through adsorption and rejection by the NF layer (Fig. 3b). Distinguishing between these two mechanisms is imperative for optimizing the MMCNF membrane and process. Using feed (Fig. 10Sc) and permeate (Fig. 4C) PFOA concentrations from a spiked Milli-Q water filtration experiment (cycle 4), we performed a mass balance to estimate PFOA rejection by the NF layer (assuming that the PFOA mass reduced from the feed was added to the permeate – see Table 2S and associated explanations). The mass balance (Fig. 7a) resulted in lower-than-expected PFOA rejection in the first 10 hrs (35%). We attribute this result to the adsorption of PFOA from feed water not passing the membrane, either on the membrane surface or tubing. As more PFOA adsorbed to the membrane, the estimated rejection by the NF layer gradually increased to 77% and fluctuated within the range of 60-73%, which is similar to the steady state removal of the control NF (M0, Fig. 3a). The results thus suggest that in long-term filtration, ~70% of PFOA will remain in the concentrate, ~30% will be adsorbed and ~0.1% will pass to the permeate. Optimizing the active layer for higher PFAS rejection can further prolong the time between regeneration steps.
We propose that the increasing rejection of PFOA by the NF active layer (Fig. 7a) is due to enhanced negative surface charge induced by PFOA adsorption (Fig. 7c). PFOA molecules are negatively charged at ambient pH26 and can be electrostatically adsorbed to the positively charged quaternary ammonium groups in the polyelectrolyte layer (the polyDADMAC's charge that the PSS did not neutralize). PFOA adsorption, therefore, induces excess negative charge, which is confirmed by zeta potential measurements of unused and spent M0 (Fig. 7b). In the MMCNF membrane, PFOA also adsorbs to the surface-bound Dexsorb sorbent (Fig. 1c&e). The latter is a mix of positively charged and neutral particles, which adsorbs PFOA through electrostatic and hydrophobic interactions. Therefore, the increase in surface charge following PFOA adsorption is more prominent for M8 (Fig. 7b), likely contributing to higher electrostatic repulsion16 of anions.
2.6 Significance and prospects
In previous studies, commercial and lab-made nanofiltration membranes achieved 80 - 99 % PFOA rejection, depending on membrane characteristics and other operating conditions 17,18, 24, 29, 25 (Table. 3). The MMCNF membrane developed in this study showed markedly improved PFOA removal (> 99.9) due to its dual functionality. The removal was in-par with removal by reverse-osmosis membranes with the advantage of generating a lower salinity retentate, thus saving energy and brine treatment costs. The MMCNF developed here also significantly exceeds the performance of a dual-functional membrane suggested recently29, which achieved 70% PFOA removal. Moreover, the membrane was reusable after a simple regeneration cycle. Therefore, our dual-functional MMCNF membrane is a significant step forward in PFAS removal technology from drinking water.
Table. 3 Comparison of the current work with similar recently published work on PFOA removal by reverse osmosis and nanofiltration membranes.
Membrane Typeref
|
MWCO/pore diameter
|
Filtration Experiment Unit
|
Feed PFOA
(µg/L)
|
Water permeability (Lm-2h-1bar-1)
|
Water Matrix and maximum PFOA removal (%)
|
Polyamide NF (lab) 18
NF 270 (commercial) 18
|
1.2 nm
0.8nm
|
Crossflow
Crossflow
|
1000
1000
|
~ 12
~ 21
|
DI water- 90
DI water- 90
|
Fully aromatic polyamide advanced composite membrane (commercial) 17
|
200 Da
|
Crossflow
|
5, 50, 100
|
~ 5
|
DI water 97.3- 99.85
Spiked groundwater 99.54
|
SiO2/CMWCNT/PMIA hollow fiber NF (Lab) 24
|
661 Da
|
Crossflow
|
25-100
|
-
|
DI Water- 95.3 to 98.3
|
Poly-N-isopropylacrylamide (PNIPAm) pore-functionalized microfiltration support-based NF (Lab) 29
|
-
|
Crossflow
|
70
|
~12
|
DI water + 2 mM CaCl2- 70
|
Polyelectrolyte (PDADMAC, PSS) Multilayer Nanofiltration Membranes 25
|
-
|
Crossflow
|
1000
|
~ 12.5
|
DI water- ∼ 90
DI water+
combined salts- ∼ 90
|
Mixed Matrix Composite Nanofiltration membrane
(This study)
|
346 Da
|
Crossflow
|
45-500
|
~9
|
~ 99.9
|
The composite mixed-matrix membrane synthesis approach presented in this work can be further optimized and adjusted for treating a wide range of microcontaminants. Porous PES filters (used in this study) support the thin active film in most commercial composite membranes and many novel ones. Therefore, the active layer can be modified based on separation needs, e.g., denser NF / RO layers for short-chain PFAS or looser NF layer, or even no layer for larger PFAS or other microcontaminants. Specifically, polyelectrolyte multilayer deposition (used here) is a flexible and tunable approach that can be optimized to achieve desired membrane performance. Further performance enhancements can be expected from optimizing the embedded sorbent. Furthermore, using nanoparticles instead of microparticles could improve adsorption capacity and kinetics, allowing even higher contaminant removal for longer filtration cycles. Beyond that, the sorbent type can be adjusted to target different organic and inorganic contaminants.