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Selective adsorption of fluorinated super greenhouse gases within a metal–organic framework with dynamic corrugated ultramicropores

Bevan S. Whitehead a, William W. Brennessel a, Shane S. Michtavy b, Hope A. Silva a, Jaehwan Kim c, Phillip J. Milner c, Marc D. Porosoff b and Brandon R. Barnett *a
aDepartment of Chemistry, University of Rochester, Rochester, NY, USA. E-mail: brandon.barnett@rochester.edu
bDepartment of Chemical Engineering, University of Rochester, Rochester, NY, USA
cDepartment of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, USA

Received 30th December 2023 , Accepted 22nd March 2024

First published on 25th March 2024


Abstract

Perfluorocompound (PFC) gases play vital roles in microelectronics processing. Requirements for ultra-high purities traditionally necessitate use of virgin sources and thereby hinder the capture, purification, and reuse of these costly gases. Most importantly, gaseous PFCs are incredibly potent greenhouse gases with atmospheric lifetimes on the order of 103–104 years, and thus any environmental emissions have an outsized and prolonged impact on our climate. The development of sorbents that can capture PFC gases from industrial waste streams has lagged substantially behind the progress made over the last decade in capturing CO2 from both point emission sources and directly from air. Herein, we show that the metal–organic framework Zn(fba) (fba2− = 4,4′-(hexafluoroisopropylidene)bis-benzoate) displays an equilibrium selectivity for CF4 adsorption over N2 that surpasses those of all water-stable sorbents that have been reported for this separation. Selective adsorption of both CHF3 and CH4 over N2 is also evident, demonstrating a general preference for tetrahedral C1 gases. This selectivity is enabled by adsorption within narrow corrugated channels lined with ligand-based aryl rings, a site within this material that has not previously been realized as being accessible to guests. Analyses of adsorption kinetics and X-ray diffraction data are used to characterize sorption and diffusion of small adsorbates within these channels and strongly implicate rotation of the linker aryl rings as a gate that modulates transport of the C1 gases through a crystallite. Multi-component breakthrough measurements demonstrate that Zn(fba) is able to resolve mixtures of CF4 and N2 under flow-through conditions. Taken together, this work illuminates the dynamic structure of Zn(fba), and also points toward general design principles that can enable large CF4 selectivities in sorbents with more favorable kinetic profiles.


Introduction

The capture of anthropogenically emitted greenhouse gases (GHGs) is a central endeavor toward mitigating the worst impacts of climate change.1–3 Carbon dioxide capture, both from point emission sources and directly from air, merits outsized attention given the sheer quantities of CO2 that are emitted relative to other GHGs.4–8 However, capping warming at 1.5 °C over pre-industrial levels will likely require mitigation of other GHGs which, although emitted in smaller quantities, possess greater heat-trapping potentials. For instance, methane is emitted in substantially smaller quantities than CO2, yet is responsible for more than 10% of GHG-related warming on account of its large Global Warming Potential (GWP).9

Amongst the most potent GHGs are gaseous perfluorocompounds (PFCs) and hydrofluorocarbons (HFCs). Owing to their intense heat-trapping capabilities and kinetic inertness to atmospheric conditions, gases such as tetrafluoromethane (CF4), trifluoromethane (CHF3), hexafluoroethane (C2F6), nitrogen trifluoride (NF3), and sulfur hexafluoride (SF6) possess GWPs that are orders of magnitude higher than that of CO2 (Fig. 1).10,11 These fluorinated gases play vital roles in the microelectronics industry and see widespread usage in semiconductor manufacturing, where they are used as plasma etchants and cleaning agents for deposition chambers.10,12 Importantly, the low utilization efficiency for CF4 in particular during plasma etching can result in substantial environmental emissions from etch gas exhaust. Existing abatement methods focus on destruction of remnant PFC gas in exhaust streams, and also yield problematic and caustic byproducts (e.g. HF, NOx).13–15 Tetrafluoromethane emissions also result from so-called “anode effects” during aluminum smelting.16 Capture processes that facilitate the recovery and recycling/reuse of PFC gases remain, to our knowledge, unimplemented on industrial scales, a consequence of the dearth of selective and non-destructive separation methods and the very high purities required for industrially utilized PFCs.


image file: d3sc07007g-f1.tif
Fig. 1 One hundred year global warming potentials (GWPs) of various fluorinated and non-fluorinated greenhouse gases.

Porous crystalline adsorbents (e.g. metal–organic frameworks; covalent–organic frameworks; zeolites) represent versatile and tunable classes of materials that offer promise in myriad gas capture and separation processes.4,17–22 The design of sorbents exhibiting equilibrium selectivity toward a particular adsorbate requires a knowledge of potential modes of physical and/or chemical adsorption. For instance, the acidic nature of CO2 facilitates chemisorption within adsorbents bearing basic functional groups (e.g. amines), allowing appropriately functionalized sorbents to achieve very high selectivities for CO2.4 In contrast, chemical handles to facilitate strong adsorption of either methane or tetrafluoromethane are limited owing to their kinetically inert natures, their lack of dipole or quadrupole moments, and their low polarizabilities.23 Unlike some other fluorocarbons, the C–F bonds in CF4 do not possess pronounced σ-holes that could facilitate strong halogen bonding interactions.24,25 Porous materials that exhibit selectivity for nonpolar CF4 over inert carrier gases such as N2 have often employed ultramicropores (pore diameter <7 Å) so as to maximize van der Waals contacts with CF4 and achieve strong physisorption.26–30

Importantly, metal–organic frameworks (MOFs) present plentiful opportunities to modulate the dimensions and electronic character of their pores. Notwithstanding, studies reporting even single-component adsorption isotherms of CF4 within MOFs are surprisingly few.31–37 However, several of those that have been analysed rank among the most selective materials that have been reported for CF4 capture from N2 (Table S1). For instance, Ni(ina)2 (ina = isonicotinate) and Ni(3-ain)2 (3-ain = 3-aminoisonicotinate) display the largest selectivities reported for this mixture (46.3 and 34.7, respectively, for 10[thin space (1/6-em)]:[thin space (1/6-em)]90 CF4[thin space (1/6-em)]:[thin space (1/6-em)]N2 at 298 K and 1 bar).33 Other MOFs displaying high thermodynamic selectivities include Ni(O2CH)2 and Ni(adc)(dabco)0.5 (25 and 23, respectively, for 10[thin space (1/6-em)]:[thin space (1/6-em)]90 CF4[thin space (1/6-em)]:[thin space (1/6-em)]N2 at 298 K and 1 bar).34,35 All of these materials share the structural trait of bearing ultramicropores; however, we note that CF4 adsorption kinetics were not investigated for any of the above materials. Although rapid kinetic profiles are essential for adsorptive separations that exploit equilibrium selectivities, kinetic studies are frequently omitted from literature reports. Kinetics investigations in ultramicroporous materials are particularly pertinent, given that even small-profile adsorbates such as CF4 (kinetic diameter of 4.7 Å)23 are likely to be of a similar size to that of the pores.

The ideal adsorbent for a real-world PFC capture application would exhibit not only high capacity and selectivity, and a favorable kinetic profile, but also hydrophobicity to allow for capture from humid gas streams. Bent and fluorinated dicarboxylate linkers comprise a variety of metal–organic frameworks that bear ultramicroporous and hydrophobic character.38–41 One such material is Zn(fba) (fba2− = 4,4′-(hexafluoroisopropylidene)bis-benzoate), which was first reported by Monge in 2005.42 Synthesized solvothermally in neat water, Zn(fba) contains one-dimensional cylindrical channels (6.0 Å diameter) that are lined with –CF3 groups from the linker backbone. Additionally present are narrow corrugated channels, defined by the edges and faces of the aryl rings of the fba2− linker, which had not previously been characterized as accessible sites for gas sorption. We demonstrate herein that the small spherical voids housed within these corrugated channels serve as the primary adsorption sites for CF4. Importantly, these sites are ideally sized to accommodate CF4, resulting in both strong physisorption (ΔHads = −32 kJ mol−1) and a large equilibrium selectivity over N2. Similarly selective adsorption is seen for the hydrofluorocarbon gas CHF3 and for CH4, demonstrating that this material displays a general ability to strongly adsorb tetrahedral C1 gases. The channel structure of Zn(fba) requires diffusion through narrow windows that are defined by the edges of four arene rings, which slows the diffusion of CF4 through the pore network of a given crystallite. Using variable temperature transient adsorption measurements, we have determined the temperature dependence of the intracrystalline CF4 diffusivity, which reflects local dynamics of the arene rings that modulate the effective window diameters. Despite this kinetic profile, multi-component breakthrough measurements confirm that separation of CF4/N2 mixtures is feasible at sufficiently slow flow rates.

Results and discussion

The solid-state structure of Zn(fba) is comprised of an infinite zinc-oxide rod building unit, wherein carboxylates bridge helical arrays of tetrahedrally coordinated Zn2+ centers traversing the crystallographic c axis (Fig. 2a). In addition to the fluoro-lined cylindrical channels, analysis of the activated structure using the Platon program CAVITY reveals that the arene-lined channels adopt a corrugated structure whereby spherical voids (5.0 Å diameter) are connected through narrow cylindrical windows (3.0 Å diameter; Fig. 2b).
image file: d3sc07007g-f2.tif
Fig. 2 (a) Synthesis and solid-state structure of Zn(fba) showing a cross-section of the two types of one-dimensional channels. A space-filling model is used wherein the van der Waals radii of atoms are depicted. Grey, white, red, light green, and dark green spheres correspond to carbon, hydrogen, oxygen, fluorine, and zinc atoms, respectively. (b) Cavity plot depicting the dimensions of the arene-lined channels in Zn(fba). These channels consist of spherical voids separated by narrow cylindrical windows. (c) Argon isotherm of Zn(fba) at 87 K. Filled and open circles correspond to adsorption and desorption points, respectively. (Inset) Pore size distribution plot derived from Ar isotherm data using a H–K model assuming spherical pores.

The corrugated profile is a reflection of the dihedral angle (65.3(9)°) between the geminal aryl rings in a given fba2− linker, which forces ring edges to protrude into the channel and define the most constricted regions. To our knowledge, previous studies of gas adsorption and pore volume analysis of Zn(fba) have not characterized the arene-lined channels as potential adsorption sites.42–44 The low-temperature isotherm data used to determine pore-size distributions (PSDs) in these works either incorporated minimal data points at very low relative pressures, or utilized N2 as the probe molecule at 77 K – conditions which can prove insufficient to adequately characterize adsorption within constricted ultramicropores.45 Accordingly, we utilized Ar as a probe at 87 K (Fig. 2c), while also employing a very long equilibration interval (180 s) to facilitate slow adsorbate diffusion. Analysis of this data using a Horvath–Kawazoe (H–K) kernel that assumes spherical pores yields a PSD that intimates accessibility of the corrugated arene-lined channels to the Ar probe.46 As shown in Fig. 2c (inset), the resulting PSD plot contains distinct maxima at 4 Å and 6 Å, with the latter being consistent with the diameter of the trifluoromethyl-decorated cylindrical channels. The modest discrepancy in diameter sizes for the arene lined channels between the PSD plot and that found from structural analysis can be attributed to the limitations inherent to determining the textural properties of ultramicroporous materials.45,47 Argon adsorption data was also used to calculate a BET surface area of 345(1) m2 g−1 (Fig. S1), which is in reasonable agreement with that reported by Yang et al. using Ar isotherm data.44

With an understanding of the pore structure of Zn(fba) in hand, adsorption isotherm measurements of tetrafluoromethane, trifluoromethane, and methane were carried out. At 298 K, all three adsorbates give rise to type I isotherm profiles (Fig. 3a). Uptake of CF4 is notably steeper at low pressures compared to CH4, indicative of the former being adsorbed more strongly, with CF4 also achieving substantially higher uptakes at the largest measured pressure (1200 mbar). As both adsorbates are non-polar, this difference is largely reflective of the optimal size match between tetrafluoromethane and the spherical voids, which maximizes van der Waals contacts. Owing to its electronic dipole moment, CHF3 is adsorbed more strongly than CF4 and displays larger uptake values at all measured pressures. This relative ordering is consistent with previous observations that non-polar CF4 generally displays weaker adsorption strengths compared with polar C1 HFC gases (e.g. CHF3, CH2F2).37 In contrast, uptake of N2 at 298 K is minimal (Fig. 3a), as are uptakes of both O2 and Ar (Fig. S2 and S3).


image file: d3sc07007g-f3.tif
Fig. 3 (a) Adsorption isotherm data for CHF3, CF4, CH4, and N2 in Zn(fba) at 298 K. Filled and open symbols correspond to adsorption and desorption points, respectively. (b) Differential enthalpy of adsorption as a function of loading for CHF3, CF4, and CH4. Error bars are shown for all data points.

Variable temperature isotherm measurements were used to determine differential enthalpies of adsorption (Fig. S4–S6 and Tables S2–S4). Notably, the low-coverage value seen for CF4 (−32.4(1) kJ mol−1; Fig. 3b) is amongst the largest magnitude that has been reported in any sorbent material, and gives rise to a respectable capacity (1.05 mmol g−1 at 298 K and 1 bar) despite the low surface area inherent to Zn(fba). Coupled with a minimal affinity for N2, the result is a large equilibrium selectivity for CF4 over N2. At 10% CF4, Ideal Adsorbed Solution Theory (IAST)48 predicts a selectivity of 29 at 298 K and 1 bar (Fig. S7). This selectivity value corresponds to a removal of 76% of CF4 from the corresponding waste stream. Variable temperature CHF3 isotherm data were used to determine a low-coverage differential adsorption enthalpy of −33.2(3) kJ mol−1. For a 10% CHF3 mixture in N2, IAST predicts a selectivity of 75, which would correlate to a removal of 89% of gas-phase CHF3 (Fig. S7). While we suggest that Zn(fba) may be an excellent candidate for CHF3 capture applications, a dearth of literature reporting adsorptive selectivities for CHF3/N2 mixtures obviates the comparison of this value to other sorbent materials.

Owing to the attention that's been given to decreasing industrial CF4 emissions, along with the greater depth of literature investigating CF4 sorption in porous materials, we chose to focus the remainder of our study primarily on CF4 adsorption and capture. Of all porous materials that have been studied for CF4 capture from N2, only the isotypic metal–organic frameworks Ni(ina)2 (ina = isonicotinate) and Ni(3-ain)2 (3-ain2− = 3-aminoisonicotinate) display superior selectivities (Table S1).33 Importantly, however, they do not display the favorable stability to moisture that is inherent to Zn(fba), a critical trait for industrially viable prospective adsorbents for this separation. Unlike hydrophobic Zn(fba), which adsorbs minimal water, Ni(3-ain)2 and Ni(ina)2 display type V water isotherms at 298 K (Fig. S9). The isotherm steps seen upon adsorption are commensurate with framework decomposition and the formation of discreet nickel aqua complexes as reported previously (Fig. S10 and S11).49,50 In contrast, Zn(fba) is synthesized hydrothermally in neat water and displays unlimited stability to moisture at ambient temperatures while also adsorbing minimal water vapor (Fig. S9). Given the frequent use of wet scrubbing to remove caustic water-soluble components of etch gas exhaust,10 the moisture stability of Zn(fba) could allow it to be implemented downstream of wet scrubbing for CF4 capture.

Although large selectivities for CF4 over N2 are achievable, establishment of equilibrium during CF4 sorption is quite sluggish. The use of long equilibration intervals (180 s) are necessary to obviate substantial hysteresis between adsorption and desorption sweeps of isotherm measurements. Given that the trifluoromethyl-lined channels (6.0 Å diameter) are significantly larger than CF4 (kinetic diameter of 4.7 Å), the observation of slow uptake kinetics suggested that CF4 might manage to access the constricted arene-lined channels. Structural studies were undertaken to address this possibility. The accessibility of large, rod-shaped crystals of Zn(fba) facilitates the structural characterization of adsorbate-loaded samples using single-crystal X-ray diffraction. Using a home-built setup (Fig. S17), a single crystal housed within a thin borosilicate capillary was heated in vacuo and then dosed with CF4 (1 bar) at 298 K, flame-sealed, and placed onto a diffractometer goniometer head. Although precise atomic coordinates for adsorbed CF4 could not be reliably modeled owing to rotational disorder and high site symmetry, analyses of residual density after modeling and refining all framework atoms allowed for a qualitative location of adsorbed CF4 (Fig. 4). The crystallographic data strongly suggest the primary adsorption site for CF4 to be the arene-lined pores, which show substantial amounts of positive residual density following CF4 dosing, while crystallographic analysis of the activated material shows essentially no residual density at this site (Fig. S18). In contrast, minimal residual density is seen in the larger cylindrical channels lined with –CF3 groups.


image file: d3sc07007g-f4.tif
Fig. 4 Residual electron density within CF4-dosed Zn(fba). A crystal of Zn(fba) housed within a borosilicate capillary was dosed with 1 bar CF4 at ambient temperature, flame sealed, and mounted onto a diffractometer goniometer head. Data collection was performed at 298 K, 273 K, and 250 K. The capillary was allowed to equilibrate for at least 2 h at the analysis temperature prior to data collection. Orange and red regions correspond to positive and negative residual density, respectively. Electron density maps were generated using the Olex2 software package.51 Isosurface values are set at 0.28 e Å−3.

After data collection at 298 K, the cryostat temperature was lowered to facilitate additional CF4 adsorption. Lowering the temperature on this closed system results in additional positive density appearing in the arene-lined pores (Fig. 4). Accordingly, these data suggest that the constricted arene-lined pores serve as primary adsorption sites for CF4 and are responsible for the large magnitude of −ΔHads and the sizeable selectivity for CF4 over N2. We note also that dosing a crystal of Zn(fba) with methane (1 bar) results in the appearance of positive residual density within the arene-lined pores (Fig. S19), although the smaller number of electrons in one molecule of CH4 compared to CF4 complicates the analysis of methane adsorption sites.

Further substantiation for preferential adsorption within the arene-lined channels was obtained from solid-state magic-angle spinning 19F NMR measurements of CF4-dosed samples. Activated Zn(fba) gives rise to a broad peak centered at −64.5 ppm corresponding to the –CF3 groups of the fba2− linker (Fig. S14). Samples dosed with CF4 were rapidly transferred into a solid-state rotor and sealed for NMR measurements.52 Adsorbed CF4 gives rise primarily to a single sharp peak that, based on correlation with crystallographic measurements, we posit is attributable to CF4 adsorbed within the arene-lined channels (Fig. 5 and S15). A very small shoulder on the downfield side of this peak is also evident, which we suggest corresponds to a small quantity of CF4 adsorbed within the cylindrical fluorinated channels. While the two peaks corresponding to adsorbed CF4 occur at too similar of chemical shifts to deduce meaningful distinctions about the electronic environments at each adsorption site, these measurements buttress the crystallographic observation of adsorption at primarily one chemically unique site at ambient temperature and pressure.


image file: d3sc07007g-f5.tif
Fig. 5 Solid-state 19F NMR spectra of CF4-loaded Zn(fba) (grey trace) and spectral models of the signal corresponding to the linker –CF3 groups (blue trace) and CF4 adsorbed at the primary adsorption site (purple trace). To accurately model a shoulder on the downfield side of the data, a small second peak corresponding to a distinct CF4 environment was included (red trace).

As frequently seen for metal–organic frameworks comprised of metal–oxide infinite chains, Zn(fba) is produced as rod-shaped crystals for which the long dimension corresponds to the crystallographic c axis (Fig. 6a). In the absence of defects,53 substrate diffusion through a given channel should occur exclusively along the c axis. Scanning electron microscopy (SEM) images of as-synthesized Zn(fba) reveal a large dispersity of particle sizes that range from microcrystalline powders to large rod-shaped crystals. By pelletizing and sieving samples of Zn(fba), we were able to obtain bulk samples with a smaller size dispersity, owing primarily to the removal of the smallest fraction of microcrystallites (Fig. S31). Although equilibrium CF4 uptakes differ negligibly between sieved and non-sieved samples of Zn(fba) (Fig. S12), transient adsorption experiments at 298 K reveal modestly quicker CF4 uptake by non-sieved batches of material, consistent with the removal of the smallest particles from these samples (Fig. S21). Interestingly, as shown in Fig. 6b, there is a large difference in the rates of adsorption between CF4 and CHF3, despite the fact that the effective sizes of these adsorbates should be rather similar. This observation demonstrates that the pore windows in Zn(fba) are appropriately sized to engender large differences in C1 gas diffusivities as a function of adsorbate size.


image file: d3sc07007g-f6.tif
Fig. 6 (a) SEM image of sieved Zn(fba) showing a wide dispersity of crystallite sizes. (b) Transient adsorption data for CF4 (green) or CHF3 (grey) adsorption in Zn(fba) following a 1.00 mmol g−1 dose at 298 K. (c) Variable temperature CF4 transient adsorption data from which values of D/l2 were calculated. The inset shows the Arrhenius plot from which the activation energy of diffusion was determined.

Assuming uniaxial guest transport through a crystallite, diffusion can be treated as occurring through a plane sheet of length l. Provided that measurements are performed within the linear regime of the isotherm, the transient adsorption data can be modeled as described by Crank.54 Adsorption of CF4 within Zn(fba) is particularly well suited to kinetic analysis using transient adsorption data obtained on a sorption analyzer that uses the volumetric dosing method (in our case, a Micromeritics 3Flex). The sluggish nature of adsorption means that only a small fraction of adsorption occurs within the first few seconds of a measurement, when valve opening and gas equilibration between the manifold and sample tube obfuscates the attribution of pressure changes to a given process. For CF4 adsorption in Zn(fba), we can conveniently discard this portion of the transient adsorption data, only modeling time points that correspond to a closed system free of gas-phase concentration gradients.

In our transient adsorption measurements, a sufficiently small dose of CF4 (1.00 mmol g−1) was used such that the equilibrium quantity adsorbed (0.12 mmol g−1 at 298 K) can be approximated to lie within the linear region of the isotherm (see Fig. 3a). After the first few seconds, a pronounced region of linearity is seen when fractional uptake (qt/qe) is plotted against square root time (Fig. 6c). The parameters qt and qe correspond here to the adsorbed quantities at time t and at equilibrium, respectively. If modeled assuming diffusion through a plane sheet, the slope in this region corresponds to (D/l2), where D is the intracrystalline diffusivity for CF4. Importantly, measurements using either different CF4 dose quantities or different amounts of Zn(fba) result in minimal changes to the transient adsorption profile and the extracted D/l2 quantity, indicating that bed transfer effects (e.g. interparticle diffusion) are negligible (Fig. S22 and S23).55 Additionally, we note that semi-logarithmic plots of 1 − (qt/qe) vs. time display a slight positive curvature at earlier timepoints rather than being linear, which was pointed out by Snurr and Farha as being indicative of particle surface entry barriers to adsorption (Fig. S24).55 Accordingly, our transient adsorption data appear in excellent agreement with the notion that intraparticle diffusion represents the primary kinetic event controlling adsorption in Zn(fba). The large dispersion of Zn(fba) particle sizes obviates a determination of the size-independent intrinsic diffusivity, D. However, given that the particle length l is not a function of temperature, the temperature dependence of D/l2 can be used to ascertain the effective activation barrier that corresponds to intraparticle CF4 diffusion. Use of the Arrhenius model results in a diffusion barrier of 59(1) kJ mol−1 (Fig. 6c, inset).

Our crystallographic and kinetic insights into CF4, CHF3, and CH4 adsorption suggest that single-file molecular diffusion through the corrugated arene-lined channels results in a sluggish adsorption profile for the larger-sized CF4. This phenomenon is attributable to the constricted windows present along these channels, the dimensions of which will be dependent upon the orientations of the arene ring edges (Fig. 7).56 Importantly, there is no significant difference in the crystallographic orientations of fba2− linkers between the activated and CF4-loaded structures of Zn(fba) (Fig. S20). Successful access of these channels by CF4 suggests a dynamic nature to the pore window, likely attributable to thermally activated aryl ring rotation, as the window width determined crystallographically (3.0 Å) is too small to permit access to CF4. This situation evokes the adsorption kinetics profile of ZIF-8, whereby rotation of the 2-methylimidazolate linker controls the pore window dimensions and modulates adsorption kinetics of C3 hydrocarbons.57,58 We additionally note that Griffin and Dincă have measured the barrier to rotation within Zn2(TCPE) (TCPE = tetrakis(4-carboxyphenyl)ethylene) to be 43(6) kJ mol−1.59 Like Zn(fba), this material contains 4-carboxyphenyl donors bearing a geminal relationship. While the exact barrier for ring rotation in Zn(fba) will be a function of both the local steric environment of an isolated fba2− linker and the rigidity imposed by the MOF lattice, our structural analysis suggests that this value likely serves as a lower bound for the CF4 diffusion barrier.


image file: d3sc07007g-f7.tif
Fig. 7 Cross-sectional view down one of the arene-lined corrugated channels in Zn(fba). Two connected void regions are shown, depicting the accessible contact surfaces within the pore's largest region (background) and the window's narrowest point (foreground).

Multi-component (5[thin space (1/6-em)]:[thin space (1/6-em)]95 CF4[thin space (1/6-em)]:[thin space (1/6-em)]N2) breakthrough experiments were undertaken to assay the ability of Zn(fba) to separate this mixture under flowing mixed gas conditions. These experiments confirm successful resolution of these gases, albeit at relatively slow flow rates. When using an inlet flow rate of 3 sccm, CF4 takes approximately 50% longer to break through a column packed with Zn(fba) compared to a column instead packed with an equivalent length of glass wool (Fig. S25 and S26), while no change in total outlet flow rate is observed over the course of the experiments. However, the CF4 breakthrough time becomes still longer when instead using a column packed with an activated charcoal (see the General considerations section of the ESI for details) that has a similar CF4 equilibrium capacity but exhibits a much smaller CF4/N2 IAST selectivity of 7.9 (Fig. S13). Increasing the inlet flow rate to 20 sccm still allows for a modest amount of resolution between these gases by Zn(fba) as assayed by a longer CF4 breakthrough time in comparison to a sorbent-free column (Fig. S27 and S28). Owing to the hydrophobic nature of Zn(fba), the use of humid CF4/N2 streams results in no significant difference in the CF4 breakthrough time (Fig. S29). Accordingly, these experiments confirm that the corrugated ultramicropores within Zn(fba) can facilitate the separation of CF4/N2 mixtures, while simultaneously highlighting the need for faster diffusion kinetics to unlock the full potential of this material for applications in CF4 capture.

Conclusions

The discovery of a very high equilibrium selectivity for CF4 adsorption within Zn(fba) illustrates the potential of MOFs bearing hydrophobic ultramicropores to adsorptively capture PFC gases from industrial point emission sources. The stability of this material to moisture (and liquid water) is a critical trait that is shared by activated carbons and zeolites, although no examples from these classes of materials have shown CF4 selectivities approaching that of Zn(fba). Strong CF4 adsorption is a result of the close match in dimensions between the adsorbate molecules and the arene-lined pores. However, the large differences in the adsorption kinetics between CF4 and CHF3 highlights the challenges inherent to this design strategy – namely, that pore sizes approaching the dimensions of the adsorbate can lead to unfavorable kinetic profiles. While our study demonstrates the previously unappreciated accessibility of the arene-lined channels in Zn(fba) to small adsorbates, it also paints a picture of linker dynamics that are key to governing diffusion. Modulation of pore window character – an endeavor that is accessible using the principles of MOF pore engineering – should provide opportunities to alter adsorption kinetics while maintaining the favorable selectivities and physical properties embodied by the parent material. Synthetic endeavors in pursuit of this goal are currently underway in our laboratory.

Author contributions

Measurement and analysis of gas sorption (equilibrium and kinetic) data was performed by B. S. W., H. A. S., and B. R. B. Crystallographic data was collected and analyzed by B. S. W. and W. W. B. Scanning electron microscopy and thermogravimetric analysis data was collected and analyzed by B. S. W. Solid-state NMR data was collected and analyzed by J. K. and P. J. M. Column breakthrough data was collected and analyzed by S. S. M. and M. D. P. The manuscript was written by B. R. B., with all authors providing input and approving of the final submitted version.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

B. S. W., W. W. B., H. A. S., and B. R. B. acknowledge start-up funds from the University of Rochester for support of this work. H. A. S. is also a recipient of the Schwartz Discover Grant, which is administered by the University of Rochester's Office of Undergraduate Research. The work of J. K. and P. J. M. was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences under Award Number DE-SC0021000. P. J. M. also acknowledges the support of a Camille Dreyfus Teacher-Scholar Award (TC-23-048). Solid-state NMR spectroscopic measurements made use of the Cornell Center for Materials Research Shared Facilities, which are supported through the National Science Foundation's MRSEC program (DMR-1719875). S. S. M. and M. D. P. acknowledge funding from the National Science Foundation (CBET-2345734) and the University of Rochester through a University Research Award (OP212858).

Notes and references

  1. IPCC, Climate Change 2023: Synthesis Report, ed. Core Writing Team, H. Lee and J. Romero, IPCC, Geneva, Switzerland, 2023,  DOI:10.59327/IPCC/AR6-9789291691647 .
  2. IPCC, Global Warming of 1.5 °C, ed. V. Masson-Delmotte, P. Zhai, et al., 2018, http://www.ipcc.ch/report/sr15 Search PubMed .
  3. M. Bui, C. S. Adjiman, A. Bardow, E. J. Anthony, A. Boston, S. Brown, P. S. Fennell, S. Fuss, A. Galindo, L. A. Hackett, J. P. Hallett, H. J. Herzog, G. Jackson, J. Kemper, S. Krevor, G. C. Maitland, M. Matuszewski, I. S. Metcalfe, C. Petit, G. Puxty, J. Reimer, D. M. Reiner, E. S. Rubin, S. A. Scott, N. Shah, B. Smit, J. P. M. Trusler, P. Webley, J. Wilcox and N. MacDowell, Energy Environ. Sci., 2018, 11, 1062–1176 RSC .
  4. R. L. Siegelman, E. J. Kim and J. R. Long, Nat. Mater., 2021, 20, 1060–1072 CrossRef CAS PubMed .
  5. H. M. Breunig, F. Rosner, T.-H. Lim and P. Peng, Energy Environ. Sci., 2023, 16, 1821–1837 RSC .
  6. E. S. Sanz-Pérez, C. R. Murdock, S. A. Didas and C. W. Jones, Chem. Rev., 2016, 116, 11840–11876 CrossRef PubMed .
  7. A. S. Bhown and B. C. Freeman, Environ. Sci. Technol., 2011, 45, 8624–8632 CrossRef CAS PubMed .
  8. S. Wang, S. Yan, X. Ma and J. Gong, Energy Environ. Sci., 2011, 4, 3805–3819 RSC .
  9. Environmental Protection Agency Overview of Greenhouse Gases, https://www.epa.gov/ghgemissions/overview-greenhouse-gases, accessed December 2023 Search PubMed.
  10. M. B. Chang and J.-S. Chang, Ind. Eng. Chem. Res., 2006, 45, 4101–4109 CrossRef CAS .
  11. R. J. Cicerone, Science, 1979, 206, 59–61 CrossRef CAS PubMed .
  12. B. K. Sovacool, S. Griffiths, J. Kim and M. Bazilian, Renewable Sustainable Energy Rev., 2021, 141, 110759 CrossRef CAS .
  13. B. A. Wofford, M. W. Jackson, C. Hartz and J. W. Bevan, Environ. Sci. Technol., 1999, 33, 1892–1897 CrossRef CAS .
  14. F. Iacopi and M. McIntosh, Green Chem., 2019, 21, 3250–3255 RSC .
  15. F. Illuzzi, H. Thewissen and J. Integr, Environ. Sci., 2010, 7, 201–210 Search PubMed .
  16. J. Mühle, A. L. Ganesan, B. R. Miller, P. K. Salameh, C. M. Harth, B. R. Greally, M. Rigby, L. W. Porter, L. P. Steele, C. M. Trudinger, P. B. Krummel, S. O'Doherty, P. J. Fraser, P. G. Simmonds, R. G. Prinn and R. F. Weiss, Atmos. Chem. Phys., 2010, 10, 5145–5164 CrossRef .
  17. J. M. Huck, L.-C. Lin, A. H. Berger, M. N. Shahrak, R. L. Martin, A. S. Bhown, M. Haranczyk, K. Reuter and B. Smit, Energy Environ. Sci., 2014, 7, 4132–4146 RSC .
  18. Y. Zeng, R. Zou and Y. Zhao, Adv. Mater., 2016, 28, 2855–2873 CrossRef CAS PubMed .
  19. L. Zou, Y. Sun, S. Che, X. Yang, X. Wang, M. Bosch, Q. Wang, H. Li, M. Smith, S. Yuan, Z. Perry and H.-C. Zhou, Adv. Mater., 2017, 29, 1700229 CrossRef PubMed .
  20. T.-H. Bae, M. R. Hudson, J. A. Mason, W. L. Queen, J. J. Dutton, K. Sumida, K. J. Micklash, S. S. Kaye, C. M. Brown and J. R. Long, Energy Environ. Sci., 2013, 6, 128–138 RSC .
  21. D. Saha, Z. Bao, F. Jia and S. Deng, Environ. Sci. Technol., 2010, 44, 1820–1826 CrossRef CAS PubMed .
  22. Z. Niu, X. Cui, T. Pham, P. C. Lan, H. Xing, K. A. Forrest, L. Wojtas, B. Space and S. Ma, Angew. Chem., Int. Ed., 2019, 58, 10138–10141 CrossRef CAS PubMed .
  23. J. R. Li, R. J. Kuppler and H. C. Zhou, Chem. Soc. Rev., 2009, 38, 1477–1504 RSC .
  24. S. Tsuzuki, T. Uchimaru, A. Wakisaka and T. Ono, J. Phys. Chem. A, 2016, 120, 7020–7029 CrossRef CAS PubMed .
  25. A. Varadwaj, P. R. Varadwaj and B.-Y. Jin, Int. J. Quantum Chem., 2015, 115, 453–470 CrossRef CAS .
  26. J. Jagiełło, T. J. Bandosz, K. Putyera and J. A. Schwarz, J. Chem. Soc., Faraday Trans., 1995, 91, 2929–2933 RSC .
  27. S. W. Choi, D.-H. Lee, J. Kim, J. Kim, J.-H. Park, H. T. Beum, D.-S. Lim and K. B. Lee, Chem. Eng. J., 2017, 311, 227–235 CrossRef CAS .
  28. X. Yuan, S. W. Choi, E. Jang and K. B. Lee, Chem. Eng. J., 2018, 336, 297–305 CrossRef CAS .
  29. S. W. Choi, H. J. Yoon, H. J. Lee, E.-S. Lee, D.-S. Lim and K. B. Lee, Microporous Mesoporous Mater., 2020, 306, 110373 CrossRef CAS .
  30. K. Tian, S. M. Elbert, X.-Y. Hu, T. Kirschbaum, W.-S. Zhang, F. Rominger, R. R. Schröder and M. Mastalerz, Adv. Mater., 2022, 34, 2202290 CrossRef CAS PubMed .
  31. I. Senkovska, E. Barea, J. A. R. Navarro and S. Kaskel, Microporous Mesoporous Mater., 2012, 156, 115–120 CrossRef CAS .
  32. T. H. Chen, I. Popov, W. Kaveevivitchai, Y. C. Chuang, Y. S. Chen, A. J. Jacobson and O. Miljanic, Angew. Chem., Int. Ed., 2015, 54, 13902–13906 CrossRef CAS PubMed .
  33. S.-M. Wang, H.-L. Lan, G.-W. Guan and Q.-Y. Yang, ACS Appl. Mater. Interfaces, 2022, 14, 40072–40081 CrossRef CAS PubMed .
  34. Y. Wu, T. Yan, W. Zhang, S. Chen, Y. Fu, Z. Zhang and H. Ma, Ind. Eng. Chem. Res., 2022, 61, 13603–13611 CrossRef CAS .
  35. Z. Wan, T. Yan, M. Chang, M. Yang and D. Liu, Sep. Purif. Technol., 2023, 306, 122617 CrossRef CAS .
  36. J. Zhu, J. Hu, H. Xiao, L. Yang, M. Yang, S. Wang, J. Zhang and H. Xing, Sep. Purif. Technol., 2024, 331, 125614 CrossRef CAS .
  37. A. D. Yancey, S. J. Terian, B. J. Shaw, T. M. Bish, D. R. Corbin and M. B. Shiflett, Microporous Mesoporous Mater., 2022, 331, 111654 CrossRef CAS .
  38. K. P. Rao, M. Higuchi, K. Sumida, S. Furukawa, J. Duan and S. Kitagawa, Angew. Chem., Int. Ed., 2014, 53, 8225–8230 CrossRef CAS PubMed .
  39. S. Mukherjee, A. M. Kansara, D. Saha, R. Gonnade, D. Mullangi, B. Manna, A. V Desai, S. H. Thorat, P. S. Singh, A. Mukherjee and S. K. Ghosh, Chem.–Eur. J., 2016, 22, 10937–10943 CrossRef CAS PubMed .
  40. L.-H. Xie, M.-M. Xu, X.-M. Liu, M.-J. Zhao and J.-R. Li, Adv. Sci., 2020, 7, 1901758 CrossRef CAS PubMed .
  41. S. Mukherjee, K. K. R. Datta and R. A. Fischer, Trends Chem., 2021, 3, 911–925 CrossRef CAS .
  42. A. Monge, N. Snejko, E. Gutiérrez-Puebla, M. Medina, C. Cascales, C. Ruiz-Valero, M. Iglesias and B. Gómez-Lor, Chem. Commun., 2005, 1291–1293 RSC .
  43. J. Xie, F. Sun, C. Wang and Q. Pan, Materials, 2016, 9, 327 CrossRef PubMed .
  44. L. Yang, L. Yan, W. Niu, Y. Feng, Q. Fu, S. Zhang, Y. Zhang, L. Li, X. Gu, P. Dai, D. Liu, Q. Zheng and X. Zhao, Angew. Chem., Int. Ed., 2022, 61, e202204046 CrossRef CAS PubMed .
  45. T. Islamoglu, K. B. Idrees, F. A. Son, Z. Chen, S.-J. Lee, P. Li and O. K. Farha, J. Mater. Chem. A, 2022, 10, 157–173 RSC .
  46. C. M. Lastoskie, in Characterisation of Porous Solids V, ed. K. K. Unger, G. Kreysa and J. P. Baselt, Elsevier, 2000, vol. 128, pp. 475–484 Search PubMed .
  47. K. S. Walton and R. Q. Snurr, J. Am. Chem. Soc., 2007, 129, 8552–8556 CrossRef CAS PubMed .
  48. A. L. Myers and J. M. Prausnitz, AIChE J., 1965, 11, 121–127 CrossRef CAS .
  49. N. Gantzler, M.-B. Kim, A. Robinson, M. W. Terban, S. Ghose, R. E. Dinnebier, A. H. York, D. Tiana, C. M. Simon and P. K. Thallapally, Cell Rep. Phys. Sci., 2022, 3, 101025 CrossRef CAS .
  50. O. Pajuelo-Corral, I. J. Vitorica-Yrezabal, A. Rodríguez-Diéguez, J. M. Seco and J. Cepeda, Inorg. Chem. Commun., 2024, 160, 111872 CrossRef CAS .
  51. O. V Dolomanov, L. J. Bourhis, R. J. Gildea, J. A. K. Howard and H. Puschmann, J. Appl. Crystallogr., 2009, 42, 339–341 CrossRef .
  52. Note that thermogravimetric analysis of CF4-dosed Zn(fba) shows significant offgassing at low temperatures, demonstrating that CF4-loaded MOF can be briefly manipulated in the absence of CF4 without undergoing thorough loss of adsorbate. See Fig. S16 in the ESI.
  53. A. C. Forse, M. I. Gonzalez, R. L. Siegelman, V. J. Witherspoon, S. Jawahery, R. Mercado, P. J. Milner, J. D. Martell, B. Smit, B. Blümich, J. R. Long and J. A. Reimer, J. Am. Chem. Soc., 2018, 140, 1663–1673 CrossRef CAS PubMed .
  54. J. Crank, The Mathematics of Diffusion, Clarendon Press, Oxford, 2nd edn, 1975 Search PubMed .
  55. F. A. Son, B. C. Bukowski, T. Islamoglu, R. Q. Snurr and O. K. Farha, Chem. Mater., 2021, 33, 9093–9100 CrossRef CAS .
  56. C. H. Sharp, B. C. Bukowski, H. Li, E. M. Johnson, S. Ilic, A. J. Morris, D. Gersappe, R. Q. Snurr and J. R. Morris, Chem. Soc. Rev., 2021, 50, 11530–11558 RSC .
  57. K. Li, D. H. Olson, J. Seidel, T. J. Emge, H. Gong, H. Zeng and J. Li, J. Am. Chem. Soc., 2009, 131, 10368–10369 CrossRef CAS PubMed .
  58. B. R. Barnett, M. I. Gonzalez and J. R. Long, Trends Chem., 2019, 1, 159–171 CrossRef CAS .
  59. N. B. Shustova, T.-C. Ong, A. F. Cozzolino, V. K. Michaelis, R. G. Griffin and M. Dincă, J. Am. Chem. Soc., 2012, 134, 15061–15070 CrossRef CAS PubMed .

Footnote

Electronic supplementary information (ESI) available. CCDC 2321191–2321195. For ESI and crystallographic data in CIF or other electronic format see DOI: https://doi.org/10.1039/d3sc07007g

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