Abstract
Crystalline materials are often considered to have rigid periodic lattices, while soft materials are associated with flexibility and nonperiodicity. The continuous evolution of metal-organic frameworks (MOFs) has erased the boundaries between these two distinct conceptions. Flexibility, disorder, and defects have been found to be abundant in MOF materials with imperfect crystallinity, and their intricate interplay is poorly understood because of the limited strategies for characterizing disordered structures. Here, we apply advanced nuclear magnetic resonance spectroscopy to elucidate the mesoscale structures in a defective MOF with a semicrystalline lattice. We show that engineered defects can tune the degree of lattice flexibility by combining both ordered and disordered compartments. The one-dimensional alignment of correlated defects is the key for the reversible topological transition. The unique matrix is featured with both rigid framework of nanoporosity and flexible linkage of high swellability.
NMR unravels the interplay between flexibility and disorder in a metal-organic framework induced by aligned defects.
INTRODUCTION
Structural flexibility can bring unusual properties such as negative gas adsorption (1, 2), stimuli responsiveness (3), and stereochemical selectivity (4, 5) to porous materials. Metal-organic frameworks (MOFs), as an emerging class of porous materials, are endowed with tunable functionalities and diverse three-dimensional (3D) topologies (6, 7). Flexibility in MOFs (8) manifests as localized structural changes, e.g., linker rotation (9), or as correlated structural changes such as volume expansion and subunit displacement (10–12). In addition, the flexibility in MOFs is often associated with defects and disorder, showing the crossover characteristics of crystalline frameworks and soft materials (13–16). The integration of crystalline and disordered compartments as well as local and correlated structural dynamics has advanced into the frontiers of solid-state chemistry (17–20). However, the merits of defects and disorder in MOFs have long been underappreciated, largely because they are inaccessible by common characterization techniques. Different techniques and strategies are required to uncover the intricate interplay between flexibility, disorder, and defects in these hybrid solids.
In this work, we engineered a special type of defect and created a tunable degree of flexibility in the framework Mg2(dobpdc) (dobpdc4− = 4,4′-dioxido-3,3′-biphenyldicarboxylate) (21–23) by introducing nonbridging ligand modulators (fluorinated salicylic acid). This MOF represents a widely used structural analog of MOF-74 (24, 25) that adopts a honeycomb-like topology and features open metal sites. Defects in similar MOFs can lead to enhanced performance for adsorption or catalysis (26–31), yet the critical information of defect structure and arrangement has not been revealed. The amorphization of MOF matrices with defects hampers structure determination by diffraction and microscopy techniques (32–34).
We hypothesized that a combination of advanced solid-state nuclear magnetic resonance (SSNMR) techniques (35–40) would be able to decode the arrangement of defects in partially amorphized Mg2(dobpdc). Spatially interconnected multispin interactions (e.g., 13C-19F and 19F-19F dipolar couplings) can map the location and distribution of defects beyond single unit cells and are sensitive to both local and correlated dynamic changes (35, 41, 42). The results of our experiments show that defective Mg2(dobpdc) frameworks undergo a reversible topological transition upon the removal or reintroduction of solvent. This flexible transition can be easily tuned by varying the stoichiometric ratio of defect-forming modulators. The semicrystalline lattice encompasses both permanent porosity for gas adsorption and high swellability in organic vapor, combining the merits of crystalline and noncrystalline materials. Assisted by molecular dynamics (MD) simulations, we show that the defects are aligned in a 1D fashion along the framework channel axis. Our study demonstrates an illustrative case of an MOF material wherein defects, disorder, and flexibility synergize, and the investigation provides understanding of hybrid structures on the mesoscale.
RESULTS AND DISCUSSION
Construction of defective Mg2(dobpdc)
Defect-containing Mg2(dobpdc) samples were synthesized by adding varying amounts of 4-fluorosalicylic acid (H2Fs) to the synthesis mixture (Fig. 1A). Because H2Fs has only half of the coordination sites (hydroxyl and carboxylate groups) as the H4dobpdc [4,4′-dihydroxy-(1,1′-biphenyl)-3,3′-dicarboxylic acid] linker, we hypothesize that Fs2− can partially substitute dobpdc4− linkers in the MOF to create substitutional defects. The defective samples are referred to as “xD,” where x represents the concentration of defects in the MOF. An ideal Mg2(dobpdc) sample (referred to as “ideal”) was also prepared for comparison. The detailed synthetic procedures are provided in the Supplementary Materials. Scanning electron microscopy (SEM) images (Fig. 1B) show that, with a low concentration of defects (0.03D), the particles form as elongated rods similar to that of the ideal sample. However, for samples with more defects, the particles grow into large sphere-like or irregular shapes with a distribution of diameters from 3 to 15 μm (fig. S1). These large particles are polycrystalline aggregates of smaller crystallites.
Fig. 1. General characterizations of Mg2(dobpdc).
(A) Schematic illustrations of the preparations for ideal and defective Mg2(dobpdc). (B) SEM images of Mg2(dobpdc) samples with various defect concentrations. Scale bar, 2 μm (for all images). (C) PXRD patterns obtained on as-synthesized Mg2(dobpdc) samples. a.u., arbitrary units. (D) N2 adsorption isotherms measured at 77 K for samples activated under vacuum at 250°C. The BET surface areas are shown. (E) Molar ratios of coordinated Fs2− to dobpdc4− (measured by solution-state 1H NMR of digested samples) plotted against the molar ratios of added H2Fs to H4dobpdc during synthesis. (F) Molar ratios of dobpdc4− to Mg2+ [n(dobpdc4−)/n(Mg2+)] plotted against the molar ratios of Fs2− to Mg2+ [n(Fs2−)/n(Mg2+)] in the MOF samples. The dotted line indicates the charge balance. The horizontal and vertical error bars come from the standard deviations (SDs) of the inductively coupled plasma optical emission spectrometry and NMR measurements.
Figure 1C presents the powder x-ray diffraction (PXRD) patterns of as-synthesized MOF samples (with methanol solvent remaining in the pores). As the samples become more defective, the peaks broaden markedly, yet the lattice dimensions are maintained even with a high density of defects. Fitting of the PXRD patterns shows that the lattice parameter a expands by ~1% for as-synthesized defective MOFs (fig. S2). In addition, the peak broadening suggests reduced crystallinity in defective samples, which corresponds to the decrease of Scherrer size from 65 nm (0.03D) to 6 nm (0.32D) upon increasing defect concentration (fig. S2). The apparent reduction of the {100} diffraction peak in most defective samples can be attributed to the packing disorder of Fs2− ligands (fig. S3).
The specific Brunauer-Emmett-Teller (BET) surface area of each material is determined from N2 adsorption data collected at 77 K on samples activated at 250°C (with methanol removed). The BET surface area of defective Mg2(dobpdc) decreases from above 3000 m2/g [as high as that of the ideal sample (43)] to ~500 m2/g as the defect concentration increases (Fig. 1D). Thermogravimetric analysis (TGA) shows that the series of defective Mg2(dobpdc) can withstand up to 400°C in nitrogen flow without notable degradation, suggesting that they are as thermally stable as the ideal sample (fig. S4).
The chemical composition of each defective Mg2(dobpdc) sample is studied by solution-state 1H NMR spectroscopy (fig. S5 and table S2) and inductively coupled plasma optical emission spectrometry (ICP-OES) (table S3) on the acid-digested samples. The results (Fig. 1E) show that, by increasing the relative concentration of H2Fs during synthesis, the quantity of incorporated Fs2− can reach almost a 1:1 ratio with respect to the dobpdc4− linker (as in 0.32D). Adding extra H2Fs did not result in appropriate products under the same synthetic condition. To understand the stoichiometry in defective Mg2(dobpdc), we plot the molar ratios of (dobpdc)4− to Mg2+ [i.e., n(dobpdc4−)/n(Mg2+)] against the molar ratios of Fs2− to Mg2+ [i.e., n(Fs2−)/n(Mg2+)] (Fig. 1F). The analysis shows that the charge balance in defective Mg2(dobpdc) compounds is maintained: (+2) × n(Mg2+) + (−4) × n(dobpdc4−) + (−2) × n(Fs2−) = 0 (marked as the dotted line in Fig. 1F). Therefore, the overall formula for defective Mg2(dobpdc) can be written as Mg2(dobpdc)1 − x(Fs)2x, where x represents the concentration of defects. The removal of x dobpdc4− linkers is compensated by 2x Fs2− modulators, which supports a charge of 2− for the incorporated Fs2− species instead of a protonated form. These findings also support the hypothesis that Fs2− molecules serve as substitutional defects in defective Mg2(dobpdc) materials.
Reversible order-to-disorder transition
The structural flexibility of defective Mg2(dobpdc) can be observed on multiple scales using various techniques. The SEM morphology and spectroscopic features of defective Mg2(dobpdc) (taking 0.32D as an example) undergo marked changes when the sample is with or without solvent (methanol). As illustrated in Fig. 2A, the as-synthesized sample, which holds residual methanol in its pores, is referred to here as “wet”; the sample dried at room temperature under vacuum, in which the weakly adsorbed methanol was eliminated, is referred to as “dry”; and the dried sample resoaked with methanol (overnight) is referred to as “rewet.” Note that the conditions for preparing the dry sample are relatively mild (vacuum at room temperature), which should remove weakly adsorbed methanol, yet methanol coordinated to the open metal sites should remain. When weakly adsorbed methanol is removed from the pores, the relatively large aggregated particles (~5 μm) in the wet sample scatter and contract into smaller pieces (~500 nm) in the dry sample. However, the small pieces swell and reassemble into large particles when the dry sample is resoaked with methanol (Fig. 2B). The morphological transition indicates that the framework of defective Mg2(dobpdc) is highly swellable. Defective Mg2(dobpdc) can uptake 10 times as much methanol vapor as compared to the ideal sample (fig. S6). We attribute the strong swellability to a better surface wettability of defective MOF particles and more efficient intraparticle diffusion of methanol. The ability to strongly adsorb organic volatiles could be useful for air pollutant removal (44) or adsorption heat pumps (45).
Fig. 2. The dynamic structural changes of defective Mg2(dobpdc).
(A) Illustrations of solvent (i.e., methanol) removal and reintroduction in Mg2(dobpdc). Characterizations of the “wet,” “dry,” and “rewet” samples (0.32D). (B) SEM images. Scale bar, 5 μm (for all images). (C) PXRD patterns and (D) 13C cross-polarization–magic angle spinning spectra of the defective Mg2(dobpdc) under different conditions. (E) Full width at half maximum (FWHM) of 13C peak at 122-ppm plotted against the defect concentration. The FWHM can be regarded as the representation of “degree of disorder” for local chemical bonds in the MOF samples.
In terms of the PXRD patterns (Fig. 2C and figs. S2 and S7), the persistence of the strong {110} peak, which corresponds to the nearest linker-linker distance, suggests that the honeycomb lattice of Mg2(dobpdc) retains. Meanwhile, the decrease of intensity of the {100} peak could be attributed to the loss of solvent in the dry samples. The large widths of the peaks make precise determination of lattice parameters via a Pawley refinement of the PXRD patterns challenging, particularly for the c parameter (fig. S2B). However, the a parameter contracts by ~1% upon drying the defective samples, as might be expected for the loss of the honeycomb ordering (fig. S2A).
PXRD data primarily characterize the compartments with long-range order yet provide limited information on the noncrystalline compartments. SSNMR can supplement PXRD to offer a more holistic picture of these semicrystalline materials. For instance, the full width at half maximum (FWHM) of 13C cross-polarization (CP)–magic angle spinning (CPMAS) signals (Fig. 2D) shows apparent differences between the dry and wet samples. The FWHM corresponds to the degree of disorder of local chemical bonds, including primarily variations in the bond lengths and torsion angles. Here, the effects of motion-induced T2 relaxation can be neglected as it only contributes a minor faction of FWHM (fig. S8). The measurement (Fig. 2E and fig. S8) shows that the dry samples generally have a higher degree of disorder than the corresponding wet or rewet samples [the 122–parts per million (ppm) peak of the dobpdc4− linker is used as representative]. The local disorder of the framework gradually increases as more defects are introduced. Moreover, the degree of order is about the same for both wet and rewet samples, indicating a reversible order-to-disorder transition. The PXRD and SSNMR characterizations (figs. S7 to S9) on the series of samples demonstrate that the flexibility of both long-range and local ordering can be tuned continuously by varying the concentration of defects. In addition, we show that the order-to-disorder transition is reversible even after three cycles of drying and resoaking procedure (fig. S10).
The structure and geometric alignment of defects
It is intriguing that Mg2(dobpdc) can accommodate such a high density of defects while maintaining the honeycomb topology. The coordination structure of the Fs2− ligands is important for understanding the defect formation in the framework. On the basis of the variable contact time 13C CPMAS experiments (fig. S11) and assisted with 13C{19F} rotation-echo double resonance (REDOR) (figs. S12 and S13), we distinguish the 13C NMR signals that belong to the Fs2− ligand and dobpdc4− linker individually. The assignments of characteristic 13C peaks are shown in fig. S11. The apparent shift of resonance positions in Fs2− ligand from those in the H2Fs precursor is consistent with the deprotonation of the carboxylate and hydroxyl groups.
The REDOR experiment is a powerful technique for accurately determining internuclear distances in simple spin systems (41, 46). It measures the spin-spin dipolar interaction (for 13C and 19F here), which correlates with the 13C-19F distance (when the spins are rigid). The experiments render decay curves of relative intensity (S/S0) of 13C signal under variable periods of 19F irradiation (Fig. 3A). The 13C{19F} REDOR curves that correspond to intramolecular 13C-19F interactions within Fs2− linkers (Fig. 3B and fig. S13) agree with the expected intramolecular distances analytically. The agreeable results and multiple variable-temperature experiments (fig. S14) indicate that motional interference is absent on the time scale of our NMR measurements.
Fig. 3. Measurements of intermolecular separations.
(A) Top: Schematic illustration of intramolecular distance (r1) between 13C spins (marked as the blue rot) and 19F spins on the Fs2− ligand and intermolecular distance (r2) between the 13C spins (marked as the red rot) on dobpdc4− linker and 19F spins on the Fs2− ligand, both measured by the REDOR experiments. Bottom: Representative 13C spectra obtained in 13C{19F} REDOR experiments. Spectrum S0 represents the 13C spectrum taken without 19F dipolar modulation, and S is the 13C spectrum with 19F dipolar modulation. (B) 13C{19F} REDOR decay curve for the intramolecular 13C-19F spin pair on the Fs2− ligand. The experimental data agree with the theoretical REDOR decay for a 13C-19F spin pair with a distance of r1 = 2.4 Å (the solid black line). (C) 13C{19F} REDOR decay curves for the intermolecular 13C-19F couplings between the dobpdc4− linker and the Fs2− ligand in 0.32D sample measured at 300 K. The dotted lines are theoretical REDOR curves for isolated 13C-19F spin pairs of internuclear distance r2. The error bars are the SDs propagated from the signal-to-noise ratios of NMR spectra. (D) Representative 19F reference signal (S0) and decay signal (S) measured with a 19F centerband-only detection of exchange (CODEX) experiment. (E) 19F CODEX S/S0 decay of the −108-ppm peak for the wet 0.32D sample measured at 300 K. The solid and dotted lines are simulation results based on different spatial distributions as shown in fig. S16. (F) Structure depicting the directional alignment of Fs2− ligands in parallel with the c axis in defective Mg2(dobpdc). Blue, red, gray, white, and green spheres represent Mg, O, C, H, and F atoms, respectively.
We further investigated the intermolecular 13C-19F interactions for 13C spins on dobpdc4− linkers and 19F spins on Fs2− ligands. Because of the heterogeneous spatial arrangements of linkers and defects in defective Mg2(dobpdc), the intermolecular 13C-19F interaction reflects the highly complex multispin system. For a simplified treatment, we can derive the average distances between dobpdc4− and Fs2− at the specified positions (see Fig. 3A). We find that the average intermolecular separation decreases to ~6 to 7 Å in the dry 0.32D sample as compared to ~10 Å in the wet or ~ 9 Å in the rewet sample (Fig. 3C). This decrease is likely due to the partial shrinkage of pore volume in the dry sample. The almost complete restoration of intermolecular distance in the rewet sample also supports the reversible transition, as described in the previous section. Consistent results are observed for other 13C-19F spin pairs and in the sample with a lower density of defects (fig. S14).
To further understand the spatial arrangement of the Fs2− ligands, we take advantage of the intermolecular 19F-19F spin-spin interactions that are contributed to by fluorine atoms on the Fs2− ligands. The 19F-19F interaction can be probed by a 19F centerband-only detection of exchange (CODEX) experiment, which examines the propagation of through-space spin diffusion process (involving both 19F and 1H spins) (47, 48). Notably, the dominant 19F signal at −108 ppm (92% molar fraction) of the wet 0.32D sample is affected by the CODEX measurement, while the minor signal at −105 ppm (8% molar fraction) is not, suggesting that only a minor proportion of the Fs2− ligands are isolated and have no Fs2− neighbors (Fig. 3D and fig. S15).
CODEX measurements provide a relative intensity (S/S0) of the 19F signal under variable mixing periods of spin diffusion (Fig. 3E). The curves not only correlate to the 19F-19F separations but also can be modeled to infer the spatial distribution of a collection of spins (42). In the defective Mg2(dobpdc), we consider four possible geometries of spatial arrangements of Fs2− ligands: 3D, 2D, and 1D arrangements with a uniform spacing (1D uniform) and with nonuniform spacings (1D nonuniform), as illustrated in fig. S16. The numerical model (47) shows that the experimental 19F CODEX curve is best matched by the 1D nonuniform geometry and is incompatible with other geometries (Fig. 3E and fig. S17). This result is consistent with the model of defective Mg2(dobpdc) optimized by MD simulations in which the Fs2− ligands are aligned along the c axis of the lattice, and the separations between 19F spins are 3.2 and 6.5 Å (Fig. 3F). The alignment of Fs2− ligands in defective Mg2(dobpdc) is also evidenced either in samples with various defect concentrations or in samples prepared under different treatment conditions (wet, dry, or rewet) (figs. S18 and S19). Nevertheless, the 19F CODEX experiment alone cannot offer accurate determination of intermolecular distances because the CODEX decay also depends on the proton spin diffusion efficiency (47), which could be largely affected by the density and mobility of solvent molecules. Additional analyses are needed to decipher the topological arrangement of defects and their structural transitions.
The topological distribution of defects
13C{19F} REDOR measurements have the high sensitivity and accuracy to quantify 13C-19F distances, and the results can be used as a quantitative determinant of spatial arrangement (41). Therefore, we attempt to further validate the proposed 1D alignment of defects using 13C{19F} REDOR experiments. To do this, we construct a library of comprehensive defect models (fig. S20), all of which are refined by MD simulations, and then analyzed against features of the calculated REDOR curves. The hypothetical models take the known concentration of Fs2− ligands [i.e., n(Fs2−):n(dobpdc4−) = ~1:1 in the 0.32D sample] and consider the possible distributions in an extended super lattice. The initial models are filled with methanol solvent to represent the wet state.
In general, these models can be categorized into three scenarios: a completely random distribution of defects in the 3D lattice (Fig. 4A, top), 2D extended defects in the ab plane interlayered randomly between nondefect planes (Fig. 4A, middle), and 1D stacked defects aligned along the c axis (Fig. 4A, bottom). On the basis of these scenarios, the distributions of intermolecular 13C-19F distances can be obtained (Fig. 4B). The hypothetical 13C{19F} REDOR curves corresponding to the 13C-19F distance distributions are plotted in Fig. 4C. Here, the multispin dipolar couplings between a 13C with multiple 19F are considered in the simulation (49). Because a number of possible models have been analyzed, the REDOR curves are shown collectively as spread bands instead of as individual lines. The spread of REDOR curves for the 3D random distribution is relatively broad because there are a greater number of possibilities, while the spread for the 2D planar and 1D aligned distributions is relatively narrow.
Fig. 4. Determining the topological distribution of defects.
(A) Hypothetical defect distributions in defective Mg2(dobpdc): (top) 3D random distribution, (middle) 2D planar distribution in layers, and (bottom) 1D alignment in parallel with the c axis. The Fs2− ligands are shown as dashed red lines, and dobpdc4− linkers are shown as black lines. (B) Statistical distribution of distances between the selected carbon atoms of dobpdc4− (at 122 ppm) and the nearest F atoms of Fs2−. The results are obtained from the corresponding structural motifs that are optimized by MD simulations for both wet and dry conditions. (C) Calculated 13C{19F} REDOR curves based on the 13C-19F distance distributions for different scenarios. As each scenario corresponds to a number of possible motifs, the REDOR curves are shown as colored bands (blue for wet and orange for dry) to show the spread of ranges. Experimental REDOR data points are shown as colored spheres. The error bars are the SDs propagated from the signal-to-noise ratios of NMR spectra.
In a further crucial step, we consider the structural transition from the wet state to the dry state. The dry models are obtained through MD optimizations of the structures without physically adsorbed methanol. As we expect, the local coordination structure for the Fs2− ligands becomes more disordered in the dry state (as shown in the schematic illustrations in figs. S21 to S24). However, the most notable feature appears in the 1D aligned scenario in which partial lattice is markedly distorted (figs. S23 and S24), and this leads to a pronounced difference between the wet and dry samples for their 13C-19F distance distributions (Fig. 4B). In contrast, the lattices for the 3D random and 2D planar scenarios are not substantially affected by solvent removal (figs. S21 and 22).
By comparing the REDOR curves of both the wet and dry states between hypothetical models and the experimental data (Fig. 4C), we conclude that a 1D aligned topology is the most probable scenario for defective Mg2(dobpdc). This alignment of the Fs2− ligands is also supported by density functional theory (DFT) calculations which show that aligned Fs2− ligands along c axis are more energetically stable than neighboring arrangement in the ab plane (fig. S25). The deviations of the experimental REDOR curves from the 1D aligned models (Fig. 4C, bottom) could arise from the small fraction of isolated Fs2− ligands and/or from the simplified structural motifs.
The unique 1D alignment of correlated defects endows the lattice with topological flexibility as it allows the dislocation of different compartments. This topological flexibility leads to the high swellability of defective Mg2(dobpdc) in methanol vapor. Meanwhile, the aligned defects coexist with intact crystalline compartments, which provide available porosity for gas adsorption, unlike many amorphous MOFs that are depleted of porosity (50, 51).
In summary, we have successfully engineered an MOF matrix by introducing tunable ratios of defects. This defective matrix encompasses both rigid crystalline compartments and flexible noncrystalline compartments. Our study not only uncovers the unusual 1D alignment of defects but also offers an understanding of the both short-range and long-range transitions in the semicrystalline framework. The combined SSNMR strategy for unveiling linker defect distributions is indispensable for studying complex hybrid structures with or without long-range ordering.
MATERIALS AND METHODS
Materials
The compound H4dobpdc was obtained from Trylead Chemical Technology Co. Ltd. All other reagents and solvents were obtained from Sigma-Aldrich at reagent grade purity or higher and were used without further purification.
The defective Mg2(dobpdc) and ideal Mg2(dobpdc) were synthesized by the same method, albeit with different amounts of 4-fluorosalicylic acid (see table S1). The ligand H4dobpdc (0.411 g, 1.5 mmol), Mg(NO3)2·6H2O (1.15 g, 4.5 mmol), and 4-fluorosalicylic acid (quantities given in table S1) were dissolved in 30 ml of a 55:45 (v/v) methanol:N,N-dimethylformamide (DMF) solution using sonication. Once all reagents were dissolved, the synthesis mixtures were transferred to a 50-ml Teflon liner. The liners were sealed in stainless steel autoclaves, which were subsequently placed in an oven preheated to 120°C for 24 hours. The crude white powder precipitates were isolated by filtration and were then soaked in 50 ml of DMF for 12 hours at 120°C for three times, followed by solvent exchange by soaking in 50 ml of methanol for 12 hours at 60°C for three times. The methanol-solvated frameworks were collected by filtration and labeled as wet samples. Then, the wet samples were dried under vacuum for a minimum of 3 hours at room temperature to remove the free methanol and yielded dry samples. The dry powders were resoaked with methanol solvent overnight and then collected by filtration to obtain the rewet samples.
Methods
To analyze the loading of Fs2− ligand, ~5 mg of each defective Mg2(dobpdc) powder was digested in a solution of 0.4 ml of 35 weight % (wt %) DCl in D2O and 1 ml of dimethyl sulfoxide (DMSO)–d6 containing a known concentration of 1,3,5-trimethoxybenzene (as the internal standard for quantitation). The solution was sonicated and/or heated at 60°C until the solid fully dissolved. 1H NMR spectra were acquired on Bruker AV-300, ABV-400, or AVQ-400 instruments at the University of California, Berkeley’s NMR facility. The actual Fs2− and dobpdc4− concentrations in MOF samples were determined from the 1H signals of Fs2− and dobpdc4− relative to that of the internal standard. The recycle delays for 1H experiments were 2 s.
PXRD measurements were carried out on samples placed on a quartz holder using a Rigaku Ultimate-IV x-ray diffractometer operated at 40 kV/30 mA with Cu Kα line (λ = 1.5418 Å). Patterns were collected in reflectance Bragg-Brentano geometry in the 2θ range from 3° to 50°. The morphologies of MOF samples were observed on a field-emission SEM (FE-SEM) (Hitachi SU8000 FE-SEM) at 5 kV.
Nitrogen sorption measurements were performed at 77 K on BELSORP-max instrument. Before adsorption measurements, the Mg2(dobpdc) samples were pretreated (activated) under vacuum for 24 hours at 250°C. BET surface areas were calculated by fitting the isotherm data in the P/P0 range of 0 to 0.1.
TGAs were conducted using a TA Instruments TGA Q5000 with a flow rate of 25 ml/min for N2 gas. Thermogravimetric decomposition traces were collected under 100% N2 with a temperature ramp rate of 1.5°C/min (fig. S2).
ICP-OES analysis was conducted on an ICP Optima 7000 DV instrument. MOF (~10 mg of) was sonicated and fully digested in 0.4 ml of 35 wt % HCl solution and 1 ml of DMSO. Fifty microliters of dissolved MOF solutions was diluted with 10 ml of pure H2O. The diluted solutions were used to test the magnesium contents by ICP-OES. The Mg2+ concentration (milligram per liter) in different MOF samples was experimentally determined by referring to a magnesium standard curve made by Mg(NO3)2 solution.
Solid-state NMR Experiments
Solid-state NMR experiments were performed on a Bruker Avance 400 III HD spectrometer (magnetic field strength of 9.4 T) operating at resonance frequencies of 400.13 MHz for 1H, 376.8 MHz for 19F, and 100.61 MHz for 13C using an HFXY magic angle spinning probe equipped with a 3.2-mm spinner module. The spinning speed was 15 kHz for all the experiments. The 13C signals were referenced to the methylene signal of adamantane at 38.5 ppm, and 19F signals were referenced to that of ammonium trifluoroacetate at −72.0 ppm. The acquisition time for 13C experiments was 40 ms, and the acquisition time for 19F experiments was 10 ms. The spectral window for 13C was 40 kHz, and the spectral window for 19F was 150 kHz. Gaussian broadening was applied to obtain the optimum representations of NMR spectra.
For the 13C CP spectra, the ramped CP sequence was applied and the 13C signal was acquired under SPINAL-64 1H decoupling (100-kHz 1H radiofrequency field). The contact times of 50 or 4000 μs was used for 1H-13C polarization transfer. The CP spin-lock field for 13C was about 80 kHz, and the power on 1H was ramped from 50 to 100 kHz. The recycle delays for 19F experiments were 10 s to ensure the full return of the 19F magnetization to equilibrium. For 13C direct polarization experiments, the recycle delay was set to 120 s. Pulse lengths were 2.5 μs for 1H 90° pulse, 2.4 μs for 19F 90° pulse, and 3.0 μs for 13C 90° pulse.
For 13C{19F} REDOR (46) experiments, the standard pulse sequence with 13C detection and 19F recoupling pulses was used (drawn in fig. S26). The REDOR experiments with (S) and without (S0) 180° pulses on the 19F channel were acquired for different recoupling times. The ratio of signal intensities (S/S0) for different recoupling times gives a REDOR curve.
The pulse sequence for 19F CODEX (48) experiment is shown in fig. S27. Two experiments, an exchange experiment (S) with variable spin diffusion mixing time tm and a short z-filter time (tz = 1 ms) as well as a reference experiment (S0) with interchanged tm and tz, were acquired. The ratio of intensities, S/S0, was measured as a function of the mixing time.
Computational methods
Structural motifs of defective Mg2(dobpdc)
The structural motifs of defective Mg2(dobpdc) are depicted by stacked hexagons (fig. S20). A black edge represents a single dobpdc4− linker, and a red edge represents two Fs2− ligands. Hypothetical defect distributions in defective MOF 0.32D are shown in fig. S20. The distribution motifs are named as XYZn or XYn, where X, Y, or Z represent the number of red edges in each hexagonal layer and the subscript n represents different scenarios. For building a hybrid superlattice of 1D aligned defects, we combined 2222, 2223, and 2224 motifs.
MD simulations
Structures of ideal and defective Mg2(dobpdc) with incorporated methanol were optimized by DFT calculations at the level of B3LYP functional. The basis set of 6-31G* was used for C, H, O, and Mg atoms. These calculations were performed by Gaussian 09 package (52). The parameters of methanol and the defective Mg2(dobpdc) used in MD simulations were obtained in general AMBER force field form by the Antechamber tool (53). The restrained electrostatic potential (RESP) method was applied to determine the charge of MOFs and methanol molecules (54).
MD simulations were performed in the NPT ensemble in GROMACS package (55–57) (version 5.0.4). For the wet condition, the MOF matrices were fulfilled with methanol through PACKMOL package (58). For the dry condition, the free methanol molecules were removed and the coordinated methanol molecules were retained. Each simulation was performed for 50 ns with a time step of 2 fs. Data are saved every 4 ps. Periodic boundary conditions were applied in all simulations. The Nose-Hoover thermostat coupling method was used to maintain the temperature at 300 K (59). The bond length was constrained by linear constraint solver algorithm in the simulations (60). For nonbonded van der Waals interaction, the cutoff switching function started at 1.2 nm and reached zero at 1.35 nm. For long-range electrostatic interaction calculated by the particle mesh Ewald summation method (61), the cutoff distance was set at 1.2 nm. The distance distribution analysis of 13C-19F atoms and the REDOR calculations were obtained from the last 1 ns of MD simulation. The VMD software was used to visualize simulation results (62).
The REDOR calculations considered the multispin effect (49) by introducing the average distance, 〈r〉, which satisfies the following relation
where ri is the internuclear distances between a specified 13C spin and all surrounding 19F spins.
DFT energy calculations
Energy difference, ∆∆E, between defective Mg2(dobpdc) and ideal Mg2(dobpdc) was calculated by the formula below
Here, Etotal, defect is the absolute energy of the defective MOF, Etotal, ideal is the absolute energy of the ideal MOFs, EFs2− is the absolute energy for the Fs2− ligands in defective MOFs, and Edobpdc4− is the absolute energy of the dobpdc4− linkers in ideal MOFs. The absolute energy is calculated by DFT calculations at the level of B3LYP functional with basis 6-31G* basis set in Gaussian 09 package.
PXRD analysis
Pawley refinement of the powder diffraction data was carried using TOPAS-Academic 4.1 (63, 64). We first refined the data for the ideal wet sample, allowing the lattice parameters and peak shape to vary freely. For all other samples, the lattice parameters were freely refined, but the peak shape was modeled using the peak shape of the ideal wet sample and an additional Gaussian size broadening term. From this Gaussian size broadening, an effective crystallite size was determined. For all structures, the space group of ideal material was used (P3121).
The first two Bragg peaks, {100} and {110}, were modeled using a pseudo-Voigt peak shape, where peak position, area, and Lorentzian contribution were allowed to vary freely for each peak. The background was fitted using two-term Chebyshev polynomial (i.e., a linear and a constant term). An additional exponential convolution was applied (simple axial model) to account for instrumental peak asymmetry. From these refinements, we determined the relative peak intensities of the first two Bragg peaks.
Acknowledgments
Funding: X.K. acknowledges the National Natural Science Foundation of China (21922410 and 22072133), the Zhejiang Provincial Natural Science Foundation (LR19B050001), and the Leading Innovation and Entrepreneurship Team of Zhejiang Province (2020R01003). J.R.L. and J.A.R. acknowledge the U.S. Department of Energy (DoE), Office of Science, Office of Basic Energy Sciences under award number DE-SC0019992. Y.F. acknowledges the China Scholarship Council for financial support. A.C.F. wishes to thank the Philomathia Foundation and Berkeley Energy and Climate Institute for support through a postdoctoral fellowship. Q.W. acknowledges the National Natural Science Foundation of China (21673206).
Author contributions: Conceptualization: Y.F., X.K., J.A.R., A.C.F., and J.R.L. Sample preparations: Y.F. Characterizations: Y.F., W.C., J.Y., L.G., and Q.C. Analysis: Y.F., X.K., A.C.F., J.A.R., and M.J.C. Simulations: Z.K., Z.P., T.H., Y.F., and Q.W. Writing: Y.F., X.K., A.C.F., J.A.R., J.R.L.
Competing interests: The authors declare that they have no competing interests.
Data and materials availability: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials.
Supplementary Materials
This PDF file includes:
Figs. S1 to S27
Table S1 to S3
References
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Associated Data
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Supplementary Materials
Figs. S1 to S27
Table S1 to S3
References




