Till
Rittner
a,
Sebastian
Pusse
a,
Blandine
Boßmann
a,
Kevin
Staudt
b,
Aaron
Haben
c,
Ralf
Kautenburger
c,
Horst P.
Beck
d and
Markus
Gallei
*ae
aPolymer Chemistry, Saarland University, Campus C4 2, 66123, Saarbrücken, Germany. E-mail: markus.gallei@uni-saarland.de
bPhysical Chemistry, Saarland University, Campus B2 2, 66123 Saarbrücken, Germany
cInorganic Solid State Chemistry, Elemental analysis group, Saarland University, Campus C4 1, 66123, Saarbrücken, Germany
dInorganic and Analytical Chemistry, Saarland University, Campus Dudweiler, Beethovenstrasse Zeile 4, 66125, Saarbrücken, Germany
eSaarene, Saarland Center for Energy Materials and Sustainability, Campus C4 2, 66123, Saarbrücken, Germany
First published on 15th October 2024
Similar to the efforts made to combat standard (transition)metal-ion pollution in drinking water, such as chromate or lead, a significant endeavor has been directed towards removing perfluorinated organic substances (PFAS), typically found in very low concentrations. In this study, we have developed asymmetric membranes based on cobaltocenium-containing block copolymers (BCP) that selectively target PFAS but can also be utilized in metal ion removal. These membranes, prepared via the self-assembly and non-solvent-induced phase-separation process (SNIPS), offer a practical and crucial solution to water pollution. Their versatility is demonstrated by their ability to customize the surface and pore size to meet specific filtration requirements and their effectiveness in targeting different pollutants. The metallopolymer membranes we have produced have been tested for applications in a water filtration system and demonstrate a high permeance of 521 ± 49 L h−1 bar−1 m−2. Furthermore, depending on the settings used for the perfluorooctanoic acid (PFOA) retention experiments, a stable permeance of 48 ± 2 up to 171 ± 26 L h−1 bar−1 m−2 as well as a PFOA retention decrease of 99.3% at lower and 96.6% at higher water flux was found. The PFAS and metal ion retention capability is followed by ion chromatography (IC) and liquid chromatography coupled with mass spectroscopy (LC-MS). In addition, the ion-capturing is investigated for sodium chromate and lead nitrate for these porous BCP membranes. Here, remarkable retention for both anionic and cationic metallic pollutants of 46.4% and 99.8%, respectively, is verified by inductively coupled plasma mass spectrometry (ICP-MS). For porous membrane recycling, the selective solubility of the cobaltocenium BCPs is furthermore utilized to form new membranes from recycled material. Finally, by up-cycling the used membranes via calcination under reductive or oxidative conditions, we can prepare porous cobalt-containing ceramics with tailorable ceramic composition and well-defined porous architectures, offering a sustainable solution to material utilization and ceramic production.
Within this work, BCPs were synthesized by living anionic polymerization followed by quantitative and block-selective cobaltocenium post-functionalization. In our approach, polystyrene was utilized as the major hydrophobic building block segment to form the membrane matrix. The second minor polymer segment features the ionic cobaltocenium, enabling selective adsorption. At the interface, the cobaltocenium should be utilized for its hydrophobic and ionic interactions.
To evaluate the effect of the cobaltocenium content on membrane formation, BCPs with 5 to 40 wt% and one copolymer with 95 wt% CoEtBAEMA with Mn of 90 to 120 kg mol−1 were synthesized according to the literature. In more detail, after an initial polystyrene block, a second mixed methacrylate block consisting of methyl methacrylate and tert-butylaminoethyl methacrylate was prepared by living anionic polymerization in THF at −78 °C. After workup and analysis, the cobaltocenium was introduced via post-modification. For a more detailed description, the reader is guided to our recent work regarding this topic.52 An overview of the synthesized polymers, the dispersity, and the resulting weight percent (PXXwt%) of cobaltocenium block (PCoEtBAEMA) is presented in Table 1. Additional detailed data on the BCPs used for this study can be found in the ESI† (Fig. S1–S10). As described in previous work, the synthesized polymers excel in high cobaltocenium content, quantitative block functionalization, and resulting self-assembly in the bulk state. They are, therefore, ideal candidates for membrane formation.52
Sample | Polymer | M n,NMR | Đ | wt%PCoEtBAEMA(UV-vis)c |
---|---|---|---|---|
a PS molar masses were determined by SEC in THF (kg mol−1, PS standards) and used to calculate NMR values for the corresponding block copolymers. b Dispersity of polymers prior to functionalization measured by SEC in DMF with styrene standard. c Weight content of PCoEtBAEMA in % calculated by UV-Vis spectroscopy in THF at 489 nm. d Weight content determined by 1H NMR data of the block copolymers. | ||||
P6.2 | PS797-b-(PCoEtBAEMA7-co-PMMA8) | 87.8 | 1.08 | 6.2 |
P20.1 | PS773-b-(PCoEtBAEMA31-co-PMMA12) | 98.7 | 1.08 | 20.1 |
P27.5 | PS908-b-(PCoEtBAEMA65-co-PMMA28) | 134.4 | 1.10 | 27.5 |
P31.1 | PS773-b-(PCoEtBAEMA57-co-PMMA27) | 114.4 | 1.11 | 31.1 |
P33.3 | PS874-b-(PCoEtBAEMA88-co-PMMA48) | 143.3 | 1.10 | 33.3 |
P40.1 | PS776-b-(PCoEtBAEMA80-co-PMMA30) | 127.0 | 1.10 | 40.1 |
P92.6 | PCoEtBAEMA387-b-PMMA133 | 225.5 | 1.07 | 92.6d |
As presented in Fig. S11 (ESI†), a difference in the membrane's macroscopic appearance was found. At low cobaltocenium content of P6.2, the membrane was elastic and homogeneous, whereas, at higher cobaltocenium content, e.g., sample P40, the membrane became brittle. This behavior was expected due to the higher glass transition temperature, Tg, and ionic character of the cobaltocenium block copolymer segment. In comparison to the BCPs, the P92.6 copolymer was very brittle and, therefore, not suitable for membrane formation. A polymer metallocene content between 25 and 35 wt% seemed to be optimal for membrane stability and maximum cobaltocenium incorporation. Next, the membrane surface was investigated in detail by scanning electron microscopy (SEM).
In conclusion, from the SEM investigations of the membranes’ topography given in Fig. S12 (ESI†), a porous surface in all cases was found; therefore, the SNIPS process could be applied to this metallocene-based block copolymer system. Except for P6.2, where porous topography could only be found in certain areas, all other samples showed a continuous porous interface. Furthermore, a disordered sponge-like surface structure was formed in all analyzed samples. The pore size was calculated by analyzing the SEM images with the “imageJ” analytical software (cf. instrumentation section). Here, a random angle model was used for the respective size measurements due to the slanted pore structure. Pores sizes were found to vary only slightly in the range from 17 ± 4 to 23 ± 8 nm with increasing cobaltocenium content. This effect might be caused by the strong ionic interactions of the cobaltocenium moieties, as also previously observed for the microphase-separated morphologies in the bulk state.52 It is assumed that the casting conditions played a crucial role in the formation of the pore structures. In our case, polymers like P31.1 with a cobaltocenium content of 30 wt% revealed the highest pore density and the most homogeneous structure. For the copolymer P92.2, no porous structure was found (Fig. S11, ESI†). Here, a rough surface split by major cracks was found in SEM, rendering these polymers unusable for membrane fabrication and further displaying the benefit of the BCP approach. Due to the novelty of our system and to reduce the number of influencing factors, the optimized casting conditions (200 μm bandgap, evaporation time of 15 seconds, 18% relative air humidity, and precipitation in water with 3.5 wt% NaCl) were kept constant for the following experiments. In summary, the macroscopic and microscopic features of the novel metallocene-based membranes indicate the optimal conditions for obtaining a homogeneous porous layer at a cobaltocenium content of 30 wt%.
To further investigate the nature of the metallocene membrane formation, two BCPs with cobaltocenium contents of 27 (P27.5) and 33 wt% (P33.3) were synthesized in larger quantities by repeating the synthesis. In literature, a dependency of the molecular weight of the BCP on the pore size was proven.25 To test this for the case of metallocene-containing block copolymers and to further tailor the underlying pore structure, a higher molecular weight of approximately 140 kg mol−1 was chosen. Moreover, the solvent dependency on pore formation was further investigated. For this purpose, in addition to the pure NMP, the membrane formation was carried out in DMF and DMAc. Each polymer casting solution was adjusted to roughly match the viscosity of the previous NMP solution. This resulted in a higher polymer content of 42 wt% for DMF and a similar NMP content of 32 wt% for DMAc. All other casting parameters were kept constant and as described above. The respective membrane surfaces and cross-sections analyzed by SEM are given in Fig. 3. Compared to the membranes with 30 wt% cobaltocenium in the block segment in the solvent NMP, a very similar structure with sponge-like slanted pores was found at a higher molecular weight and slightly lower metallocene content of 27.5 wt% for P27.5. With 36 ± 11 nm, the pores, as well as the deviation, were larger compared to the 23 ± 8 nm of P30.1. This further confirms the hypothesis of a strong pore size dependency on the overall polymer length represented rather than the cobaltocenium content. Moreover, by adjusting the polymer size, the pore dimensions can therefore be tailored.
Very similar to previous results, a dense porous substructure was found for all investigated samples. A graphical representation of this structure is presented on the left side in Fig. 3. Untypically for SNIPS membranes, the sponge-like surface structure resembled the membrane cross-section very well. For SNIPS membranes, normally, an asymmetric structure is dominant in comparison to the symmetric cross-section architecture found.24 This symmetric structure hints toward a very steady solvent exchange during the formation process. In literature, this dense formation was found for highly concentrated polymer solutions.71 This reason seemed very likely since polymer solutions of 30 to 40 wt% were used. For now, the influence of the respective solvent on the membrane surface was evaluated. By using DMF for the casting solution, a different surface structure was obtained. Here, contrary to the previously found sponge-like structure, a flatter surface with rounder and uniform pores was obtained. Unlike pores formed by applying the NIPS process, where pores are formed via the nonsolvent contact and quick exchange with the solvent, resulting in the breakup of the micellar polymer solution, a different method is suggested here. The structure resembles the arrangements found in the SNIPS process based on the microphase separation of the BCPs.72 To a certain extent, this behavior can also be observed in the substructure architecture. Comparable to the NMP-derived membranes, in DMF, similar pore sizes of 37 ± 11 nm were found. Although the pores looked more uniform, a similar deviation was found compared to the previous membrane.
Last, the influence of DMAc revealed a very similar picture to the previously generated structure using NMP. Here, a slightly smaller pore size of 33 ± 12 nm, but a higher pore density was found. This higher pore density was proposed to be better for an increased water flux and permeability. Contrary to the previously discussed process, the better miscibility of DMAc with water compared to NMP in the SNIPS-type assembly was assumed to be the reason for the denser pore formation. As for the other investigated solvents, a sponge-like continuous substructure was found. Lastly, it shall be noted that only marginal differences between P27.5 and P33.3 were found. To conclude, membranes formed by BCPs containing approximately 30 wt% cobaltocenium monomers were found to possess the best properties for pore development. The formation could further be influenced by the respective solvent used. Here, membrane surfaces from DMF indicated a pore formation process via self-assembly but lower pore density in contrast to membranes cased from NMP or DMAc. For DMAc especially, the number of pores was drastically increased compared to initial NMP membranes.
Membrane experiments like the water flux and analyte retention were performed in a dead-end filtration system with 0.4 bar pressure and membrane diameters of 10 mm. The resulting time-resolved permeance and PFOA retention measurements are presented in Fig. 4. First, the neat water permeance was performed as a reference to compare the possible fouling effects caused by the eluent used. The initial water flux measurement is presented as part of Fig. 4a. Here, an initial flux reduction was observed, which is typically found for this kind of membrane.73 Due to the compression of the membrane, a slight decrease in permeance was expected due to the deformation of the polymeric material, resulting in reduced porosity.74 After 110 minutes, the water flux stabilized at a value of 521 ± 67 L h−1 bar−1 m−2. After this membrane stabilization, the flux measurement was stopped, and the ultra-pure water was exchanged for PFOA-spiked water. To simplify the otherwise very complex analysis, we decided to focus only on the retention of PFOA as a representative of this vastly diverse group of pollutants for initial studies.
It should be noted that more complex perfluorinated compounds, like GenX, were analyzed in a recent study by Medina et al. with very similar polymers.35 For the first insights on the membrane performance and separation capabilities, we focus on PFOA, while future studies will contain complex analyses as well as legacy PFAS.
For our experiments, a concentration of PFOA of 2.556 mg L−1 was chosen to enable several analytical methods to analyze the PFOA reduction after the adsorption and to check the capacity of PFOA adsorption. Liquid chromatography coupled with mass spectroscopy (LC-MS) and ion chromatography (IC) were used for PFOA quantification and for gaining insights into the membranes’ separation performance. The initial PFOA sample was taken from inside the apparatus to verify the correct starting concentration, and no relevant adsorption was found for the apparatus. This initial value was then compared to the results obtained after the filtration steps. Directly after changing to the PFOA-spiked water, a sharp decrease in water flux was noticed. This was rather expected since, due to the ionic nature of the membrane, by introducing a different ionic species, the intrinsic repulsion started to affect the water flux. In addition, for PFAS, which is widely used for its strong surface interactions and combability, a strong fouling effect resulting in a drastically reduced flux is described.73 In our case, it is assumed that due to the strong ionic and hydrophobic interactions, the PFOA adsorbed onto the membrane interfaces, which consisted of cobaltocenium moieties. This increased the local concentration, and the usable pore size decreased, leading to a decrease in water flux. Surprisingly, a very stable mean permeance of 48 ± 2 L h−1 bar−1 m−2 was recorded over 8 hours, which points to the fact that this change of surface polarity occurred in a fast way. Respecting samples at certain periods were analyzed regarding the PFOA content. Here, samples were collected over intervals of 20 minutes, and resulting PFOA retention percentages are presented as an interval average. Over the whole experiment, a mean reduction of 99.3 ± 1.1% compared to the stock solutions was found by IC. Within the first minutes of the experiment, a slightly decreased retention was found. Interestingly, the course of the water flux was represented by the PFOA retention. The reason for this is assumed to be caused either by the change in the eluent or induced by the initial PFAS adsorption accompanied by a layer formation. After one hour, the equilibrium was reached, and over the next six hours, PFOA retention was found to be very close to 100% for all the following samples. Here, for some cases, values slightly above 100% retention appeared, which were caused by calibration and the detection and calibration limit of the instrument. LC-MS was utilized to analyze this specific region better. Here, a very similar trend with an even higher average retention of 99.9 ± 0.1% was found via LC-MS. Interestingly, a small decrease in retention of 0.1% could be found for the initial samples, verifying the observation by IC. The permeance and retention values of all experiments were compiled in Table 2. Next, several experiments were performed to find the optimal configuration combining high water flux and PFOA retention. For this purpose, the first experiment, including extensive preconditioning, was compared to (I) a measurement without preconditioning by directly using a PFOA-spiked solution and (II) an inverse flow, where the membrane is switched upside down. The compiled water flux and retention are presented in Fig. 4b and Fig. 4c, respectively. In these experiments, the mean time of the analyte spent inside the membrane was to be assessed.
Experiment | Permeancea/L h−1 bar−1 m−2 | PFOA retention ICb/% | PFOA retention LC-MSc/% | Cr retentiond/% | Pb retentiond/% |
---|---|---|---|---|---|
a Permeance was determined gravimetrically. b PFOA concentration was analyzed by ion chromatography (IC) (see instrumentation section and main text for more details). c PFOA concentration was determined by liquid chromatography coupled mass spectrometry (LC-MS). d Determined by inductively coupled mass spectrometry. e Under the detection limit. | |||||
Pure water | 521 ± 49 | — | — | — | — |
Precondition (PFOA) | 48 ± 2 | 99.3 ± 1.1 | 99.94 ± 0.02 | — | — |
Without Precondition (PFOA) | 61 ± 13 | 90.6 ± 1.2 | 98.66 ± 0.27 | — | — |
Inverse membrane (PFOA) | 171 ± 26 | 96.6 ± 1.0 | 99.86 ± 0.06 | — | — |
Sodium chromate retention | 41 ± 3 | — | — | 46.45 ± 0.05 | — |
Lead acetate retention | 30 ± 14 | — | — | — | 99.85 ± 0e |
Here, depending on the time, there is a higher possibility of interaction with the membrane interface, and proposed secondary PFOA interactions should lead to increased retention. By first compressing the membrane with pure water during the preconditioning, a higher mean time in the membrane is proposed (Fig. 4b, bottom). Additionally, due to the compression, the number of accessible pores was reduced, forcing the analyte through lesser pores, resulting in a higher local PFOA concentration, which is beneficial for retention. To evaluate this compression effect, the second experiment was performed using PFOA-spiked water directly. This way, a shorter meantime in the membrane (Fig. 4b, bottom) and a resulting worse PFOA retention were expected. To our surprise, a very similar and stable permeance of 61 ± 13 L h−1 bar−1 m−2 was found compared to the measurement right from the start. Here, especially for the initial measurements where the compression of the membrane did not occur, the PFOA retention measured by IC was significantly lower, averaging at 90.6 ± 1.20% over the experiment. This expected trend was further validated by LC-MS, where a slightly lower retention of 98.7 ± 0.3% was found as compared to the original value. Compared to the values found by IC, a larger deviation was expected, but due to the sophisticated PFOA analysis, a direct comparison of both methods turned out to be difficult. Nevertheless, both methods showed similar results, underpinning the important influence of the average time inside the membrane as a key factor for retention and contact time inside the membrane. The permeance is generally an important key parameter for membrane applications. Regarding this, in our next experiments, we aimed to increase the flux without losing the quality of PFOA retention (Fig. 4c, bottom). Since compression affected the retention, a reduction in compression, which would otherwise help the permeance, could not be utilized. For this reason, a different approach was developed. Here, the synthesized membrane is used in an “inverse flow mode” with the supporting substrate and sponge-like substructure directed upwards. The main limiting bottleneck, the porous structures with the smallest pores, was now located at the final filtration point of the integral asymmetric membrane. This way, fouling by concentrating the analyte at the pore surface and the resulting decrease of accessible pores can be drastically reduced since the analyte first had to diffuse through the sublayers. Here, due to the high surface area and narrow network, most of the analyte-cobaltocenium interactions, as well as secondary PFOA interactions, are proposed. Hence, the overall concentration of analyte was assumed to be decreased, reducing the fouling at the porous surface area. By compressing the membrane this way, the force is directed on the substructure rather than on the surface-layer pores, and in combination with the inverse flow direction, leading to less overall pore compression. Nevertheless, compression of the substructure turned out to be advantageous due to the resulting increase in mean dwell time within this layer. Surprisingly, the results derived during the initial stage of the filtration experiment were very similar to the experiment averaging at 441 ± 81 L h−1 bar−1 m−2. After the change to the PFOA-spiked water, a gradual decrease in permeance was found. In contrast to the steep decline for the initial experiment, this was a significant improvement for the filtration experiment. Over the first two hours, the permeance further decreased but stabilized at around 150 L h−1 bar−1 m−2 for the rest of the experiment. By the inverse configuration, a 3-fold increase in permeance compared to the permeance of 48 L h−1 bar−1 m−2 of the normal compressed mode was found. Next, the PFOA retention was analyzed. In contrast to both prior measurements, an average value of 96.6 ± 1.0% was found. This decrease compared to the first measurement might be caused by the increased flow, reducing the mean dwell time in the membrane, and the reduced repelling effects due to the inverse setup. LC-MS found a similar trend. Here, an average retention of 99.8 ± 0.1% was found, which was lower than the initial one but significantly higher than the second experiment. To conclude, we could show the feasibility of metallocene-based membranes for PFOA removal, and we identified key factors like compression and increased dwell time that affect retention. Furthermore, the permeance could be improved 3-fold by a rather simple inverse setup with only minor reductions in retention.
In comparison to PFOA, the repelling effects were most likely dominated by ionic interactions here since no further hydrophobic interaction was possible. For this reason, sodium chromate (Na2CrO4) was used as an anionic pollutant. Additionally, the effect of the highly oxidative compound and the effects on the cobaltocenium membrane were investigated. Here, a concentration of two hundred times the regulatory limit (0.05 mg L−1) for drinking water of 10 mg L−1 was chosen, and a very similar concentration of 9.8 mg L−1 was found for the prepared stock solution.75 Similar to the above-described experiments, a dead-end filtration apparatus and a pressure of 0.4 bar were utilized. Inductively coupled plasma mass spectroscopy (ICP-MS) was used for chromate and lead quantification. For Cr, this yielded a rather different result than the hydrophobic PFAS (Fig. 5a). At a permeance of 41 ± 3 L h−1 bar−1 m2, an average retention of 46.4 ± 0.1% was found. Unlike before, where the retention was increased during the experiment, this time, a decrease from 60% to 40% compared to the stock solution was found after four hours. After that time, a stable 40% was found, indicating the equilibration of the system. The mainly cationic membrane interface did not directly repel the negatively charged chromate but rather hindered diffusion through the membrane by creating a high local concentration of the pollutant on the membrane surface and in the pores.76 Additionally, an ion exchange with hexafluorophosphate, the initial cobaltocenium counterion, may increase the local concentration. Nevertheless, we showed that for PFOA retention, not only ionic interactions but hydrophobic and secondary interaction effects played a major role. Additionally, in all cases, the membrane surface was analyzed afterward by SEM (Fig. S14, ESI†), showing no degeneration or loss of the porous membrane structure or significant change, demonstrating the inertness of the synthesized membranes.
Last, to demonstrate the cationic nature of the membrane, the retention of a cationic pollutant was to be tested. Here, we decided to focus on lead since it is one of the prominent examples in literature and causes problems in drinking water purification up to date.77 For this reason, a very similar experiment with the same conditions as for sodium chromate was performed for lead nitrate (Pb(NO3)2). Here, the 100-fold drinking water limit (0.01 mg L−1) of 1.0 mg L−1 was targeted.75 As later revealed by ICP-MS, the concentration of the prepared stock solution was slightly higher at 1.16 mg L−1. Despite this slight deviation, this should not have too much influence on the experiment since the measured stock solution was always used for the ratio determination, and a concentration of the same order of magnitude was used. Similar to prior experiments, the combined water permeance and lead retention are displayed in Fig. 5b.
Again, a similar mean permeance of 30 ± 14 L h−1 bar−1 m−2 was found. Here, initially, there was a reduction of the permeance, but surprisingly, for later samples, an increase was found. Comparable with the other samples, the initial decrease was likely caused by fouling due to the increased lead concentration. For the rise in permeance after the first 180 min, partial destruction of the membrane due to the pressure or a change in formation due to the introduced lead was proposed. However, analysis of the surface after the experiment by SEM did not show any significant change (Fig. S4, ESI†). Here, only the impacts of the initial preconditioning and, therefore, reduced pore content was found, as for every other sample. The increased permeance could also be an effect of the ion exchange from hexafluorophosphate (PF6−) to nitrate, making the membrane more hydrophilic and, therefore, more accessible for water. However, for now, the reason behind the increase has not been identified. More interestingly, in the analyzed residual water after filtration, no lead could be found by ICP-MS, resulting in a quantitative retention of 99.9% for all samples.
Lastly, to view possible limitations with very high salt concentrations, the membrane was tested in a simulated seawater environment (Fig. S15, ESI†). For this, a 3.5 wt% sodium chloride solution was used for the permeance experiment. The results are presented in Fig. S10 (ESI†). To our surprise, even at these high salt concentrations, the permeance stabilized at a value of 18 ± 1 L h−1 bar−1 m−2 after a short compression phase. In this regard, membrane optimization has to be performed as well, but for now, general applicability could be shown.
To conclude, in addition to the excellent PFAS retention, the membrane's ionic nature was demonstrated by significant chromate and quantitative lead nitrate reduction. In addition, the chemical robustness against strong oxidizing agents, sodium chromate, and tolerance of high salt concentrations was shown.
Next to regeneration and recycling, up-cycling, where used material is repurposed for different applications, presents an alternative. Here, metallocene-containing structures are ideal candidates for template-based calcination.42,78 By calcination in either an oxidative or reductive atmosphere, different ceramics are formed. Possible applications of these materials range from catalytic to energy storage and energy storage solutions.79,80 Due to the uniform and porous structure of the formed membranes, obtained template-based porous ceramics present a high potential. In addition, due to the high temperatures, possibly adsorbed PFAS impurities are either evaporated or mineralized by the calcination process, and purification and up-cycling can thereby be combined, increasing the material's lifetime and reducing costs.
For this reason, calcination of the larger DMAc membrane of P33.3 after initial PFOA, chromate, and lead retention experiments were performed in synthetic air and nitrogen atmosphere. The resulting ceramics synthesized by this template design in a nitrogen atmosphere are displayed in Fig. 6. Here a standard protocol up to 800 °C with 10 K min−1 was used. In all cases, a very similar ceramization profile with a singular degradation step with an onset of 364 °C was found. (Fig. S17, ESI†) In the case of the oxygen atmosphere, a lower ceramic yield of 2% was found in comparison to the 8% in a nitrogen atmosphere. This is rather expected since, in an oxidative environment, the carbon content is reduced by oxidation to carbon dioxide. The ceramics were analyzed via SEM and energy-dispersive X-ray spectroscopy (EDS).
After treatment in an oxidative environment, a very similar structure was found for all samples (Fig. S18, ESI†). Here, a porous structure featuring a crystalline surface was synthesized, strongly resembling the membrane sublayer. A slightly denser structure was found compared to the precursor membrane, which was expected due to the shrinkage of the overall material. Next, the composition was analyzed by EDS. In literature, the formation of cobalt oxides is mainly found in cobaltocenium polymers.81,82 In our case, a cobalt content of up to 34% could be found. In addition, primarily oxygen (36 wt%), carbon (16 wt%) and phosphorous (14 wt%) contributed to the overall composition. The phosphorous was most likely introduced by the PF6− counter ion; for the ceramic resulting from the lead retention, no residual lead could be detected. In contrast, a significant amount of chrome (3 wt%) was found for the other membrane. Additionally, the phosphorous content was slightly reduced, further facilitating the idea of a counter ion exchange with the respecting PF6−.
In contrast, the bulky but porous structure found for the ceramic prepared in oxygen, ceramics formed in a nitrogen atmosphere, showed a remarkably delicate ordered structure (Fig. 6). This gyroid-like structure could be found under the former pore surface in all ceramics formed in nitrogen. It is, therefore, suggested that the sponge-like sublayer of the membrane is the main driving factor for this formation. In all cases, the resulting ceramic was analyzed via EDS regarding the overall composition. As expected, a lower cobalt content of 10 wt% was found compared to the ceramic formed in oxygen. Additionally, a significant carbon content of 65 wt% alongside oxygen (19 wt%) and phosphorous (6 wt%) was found. A similar composition was found for the ceramic prepared in a nitrogen atmosphere. Like before, no lead but chromate (1 wt%) could be found. Along with the higher ceramic yield, this method showed promise for further template-based investigations. For a more detailed description of the composition (Table S2, ESI†) and EDS mappings (Fig. S19–S24, ESI†), the reader is referred to the ESI.†
Cyclic voltammetry (CV) was performed by using a BioLogic SP-150 as the potentiostat in a voltammetry cell with a three-electrode configuration with an Ag/AgCl reference electrode in acetonitrile, a Pt-wire for the counter electrode, and a Pt working electrode with an inner diameter of d = 2 mm. The measurements were conducted with a scan rate of 200 mV s−1 in 0.1 M solution with tetrabutylammonium hexafluorophosphate ([TBA][PF6]). Ferrocene was used as a calibration agent, and the evaluation proceeded with EC-Lab V11.46.
Ion chromatography was performed on a Metrohm Compact IC Flex equipped with an 800 Dosino and 858 Professional Sample Processor. For PFOA analysis, the Metrohm Application 8.000.9053EN for “Trace-level detection of perfluorinated compounds in water by suppressed ion chromatography with inline suppression” was used with slight variations. In more detail, separation was achieved by isocratic elution on a reversed-phase column thermostated at 35 °C using an aqueous mobile phase containing boric acid and acetonitrile. For the column, a NUCLEODUR 100-5 C18 ec, 5 μm, 125 × 4.6 mm from Machery-Nagel was used. For the eluent, 20 mmol L−1 boronic acid and 4 mmol L−1 NaOH (pH-adjusted to 8) in 35% acetonitrile were used. The flow was adjusted to 1 mL min−1 with an injection volume of 200 μL. Boronic acid and sodium hydroxide EMSURE from Merck and pentadecafluorocarprylacid (PFOA) (96%) from Thermo Scientific were used.
For ICP-MS measurements, ultrapure water (0.055 μS cm−1) from a PURELAB® Chorus 1 ultrapure water filtration unit (Elga LabWater) was used to prepare all solutions. From the filtrates, 20 μL were taken for the Cr measurement (dilution factor: 500) and 100 μL for the Pb measurement (dilution factor: 100). A solution with 10 mg L−1 of Sc (1 g L−1 in 5% HNO3, Alfa®), Y (1 g L−1 in 2–3% HNO3, Merck CertiPUR®) and Ho (1 g L−1 in 2–3% HNO3, Merck CertiPUR®) in ultrapure water was prepared as the internal standard stock solution for all ICP-MS measurements. HNO3 (ROTIPURAN® Supra 69%, Carl Roth) was used to acidify the measurement solutions. Argon 5.0 (Ar ≥ 99.999 mol%, ALPHAGAZ™ 1 Argon, Air Liquide) was used as plasma gas for ICP-MS measurements. For quantification purposes, an external calibration was prepared using Cr (1 g L−1 in water, Fluka) and Pb (1 g L−1 in 0.5 mol L−1 HNO3, Merck CertiPUR®) ICP-MS standard solutions. For the ICP-MS measurement, an Agilent ICP-MS system 8900 with triple quadrupole (ICP-QQQ) and SPS4 autosampler was used. 52Cr and 208Pb were measured in He collision gas mode, whereby 208Pb was additionally measured without any cell gas.
Liquid chromatography coupled with mass spectrometry (LC-MS) was performed by using a Shimadzu LC20-AD-XR HPLC system coupled with a Bruker solariX 7T FT-ICR-MS. For MS analysis, 1 mL of each sample measured before by IC was taken and measured in the same individual concentration, avoiding any further influences on the samples. Chromatography was performed as an indicator for qualification due to the retention time. 10 μL of each sample were eluted isocratically with 50% acetonitrile/water (v/v) using a Multospher 120 RP18-AQ-3μ column at 50 °C (CS Chromatographie Service GmbH, Langewehe, Germany). The sample was measured with Electrospray-Ionization (ESI) in negative polarity. All measurements were done as triplicates. The data were processed using Bruker Compass Data Analysis software 6.0. Processing parameters: extracted ion chromatogram (EIC) width: 0.01 Da; smoothing algorithms: Gauss, 1.24s, 10 cycles.
Sample | Polymer/g | NMP/g | DMF/g | DMAC/g | Polymer/% |
---|---|---|---|---|---|
P6.2 | 0.065 | 0.141 | — | — | 31.4 |
P20.1 | 0.094 | 0.205 | — | — | 31.4 |
P27.5 | 0.100 | 0.219 | — | — | 31.3 |
P31.1 | 0.099 | 0.217 | — | — | 31.4 |
P33.3 | 0.100 | 0.219 | — | — | 31.3 |
P40.1 | 0.098 | 0.214 | — | — | 31.4 |
P92.6 | 0.100 | 0.219 | — | — | 31.4 |
P27.5 | 0.100 | — | 0.147 | — | 40.5 |
P33.3 | 0.100 | — | 0.165 | — | 37.7 |
P27.5 | 0.073 | — | — | 0.155 | 32.0 |
P33.3 | 0.072 | — | — | 0.162 | 30.1 |
P33.3 | 0.200 | — | — | 0.443 | 31.1 |
Footnote |
† Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d4tc03546a |
This journal is © The Royal Society of Chemistry 2024 |