Abstract
Defects in metal-organic frameworks (MOFs) have great impact on their nano-scale structure and physiochemical properties. However, isolated defects are easily concealed when the frameworks are interrogated by typical characterization methods. In this work, we unveil the presence of solvent-derived formate defects in MOF-74, an important class of MOFs with open metal sites. With multi-dimensional solid-state nuclear magnetic resonance (NMR) investigations, we uncover the ligand substitution role of formate and its chemical origin from decomposed N,N-dimethylformamide (DMF) solvent. The placement and coordination structure of formate defects are determined by 13C NMR and density functional theory (DFT) calculations. The extra metal-oxygen bonds with formates partially eliminate open metal sites and lead to a quantitative decrease of N2 and CO2 adsorption with respect to the defect concentration. In-situ NMR analysis and molecular simulations of CO2 dynamics elaborate the adsorption mechanisms in defective MOF-74. Our study establishes comprehensive strategies to search, elucidate and manipulate defects in MOFs.
Similar content being viewed by others
Introduction
Metal-organic frameworks (MOFs) are crystalline materials with diverse functionalities and tunable porosity1,2. While the crystalline matrix of MOFs enables the reticular design and precise control over their internal geometry and chemistry, the unavoidable presence of defects disrupts periodicity and alters significantly their local structures or properties3,4,5. In certain classes of MOFs, such as UiO-66, ZIF-8, HKUST-1 etc., the presence of defects has been frequently noticed, and the defect structure or density are sometimes engineered to optimize their properties6,7,8,9. Nevertheless, in thousands of other MOF materials, the defects remain elusive: neither the existence nor their structures are acknowledged.
MOF-74 or M2(dobdc) (H4dobdc = 2,5-dihydroxyterephthalic acid; M = Mg, Co, Ni, Zn, Mn, Fe) is a benchmark framework with outstanding adsorption properties for a range of applications, including hydrogen storage and hydrocarbon separations10,11,12,13. The structure of MOF-74 is generally described as hexagonal honeycomb channels with accessible open metal sites. Its favorable gas adsorption is attributed to the abundant under-coordinated metal sites after activation14,15,16. Some studies introduced defects into MOF-74 intentionally by modulating non-native organic ligands, which are typically called as engineered defects17,18,19,20. For example, Heidary and coworkers added a fraction of 2-hydroxyterephthalic acid in the synthesis of Ni-MOF-74 to modify the local Ni-O coordination bonds17. Villajos and coworkers partially mixed 2,5-dihydroxybenzoic acid and hydroxyterephthalic acid into Co-MOF-74 structure and increased the accessibility of open metal sites18. However, the existence of solvent-derived defects (i.e., the defects related to the solvents used in MOF synthesis) in MOF-74 was largely unnoticed in the literature. Such solvent-derived defects could have unexpected impact on the adsorption or catalytic properties21,22.
The characterizations of defects in MOFs and related porous materials have been a formidable challenge due to the insensitivity of techniques that assess local non-periodic structures. While correlated defects could be revealed by X-ray or electron diffraction23,24,25,26, transmission electron microscopy27,28,29,30, and vibrational spectroscopy31,32,33, the structural determination of isolated defects is still difficult. We recently demonstrated that solid-state nuclear magnetic resonance (NMR), with the adaptation of advanced pulse sequences and multifaceted strategies, can be powerful to identify not only the chemical environment of defects but also their geometries and distributions34,35,36.
In the present work, we evidence the presence of solvent-derived formate defects in MOF-74, mainly thanks to the use of solid-state NMR. The formate present in the MOF-74 framework does not correspond to an intentionally introduced modulator but to a solvent byproduct (from N,N-dimethylformamide solvent) used in the common synthetic process of MOF (Fig. 1a)10,11,12. We first discover the existence of formate defects thanks to solid-state and solution-state NMR. Then we prove that formate moieties substitute the dobdc4- ligand in a 4:1 ratio, resulting in missing-linker defects. The structure of these defects is unraveled through two-dimensional 13C-13C correlation solid-state NMR combined with density functional theory calculations. Interestingly, the concentration of defects can be controlled by varying the ratio of metal salt versus H4dobdc in the precursor solution. We further show that the reduction in surface area and CO2 uptake scale linearly with the formate concentration in defective MOF-74. The in situ NMR pattern analyses and molecular dynamics (MD) simulations of CO2 dynamics suggest that adsorption mechanisms in ideal and defective MOF-74 are similar except that the number of adsorption sites is reduced in defective MOF-74. Our study provides a detailed molecular picture of formate defects in MOF-74 and demonstrates their impact on adsorption properties.
Results and discussion
Identifying formate defects in MOF-74
Mg-MOF-74 is prepared according to the reported common procedure using Mg(NO3)2 and H4dobdc in a solution mixed with N,N-dimethylformamide (DMF), ethanol and water10,11. The metal-to-ligand ratio is varied in the precursor solution to give different samples (Supplementary Table 1). Prior to characterizations, the solid products are washed with DMF and methanol. The formation of MOF-74 crystals is confirmed by powder X-ray diffraction (PXRD) (Fig. 1b and Supplementary Fig. 1). The set of MOF samples show similar PXRD patterns. Scanning electron microscope (SEM) images show that the MOF crystals form micron-sized rods as expected (Supplementary Fig. 2).
The 13C solid-state NMR spectra, however, reveal subtle differences (Fig. 1c). Besides the assigned resonances to the dobdc4− ligand, an unexpected 13C signal at ~172 ppm is observed in most samples (Fig. 1c and Supplementary Fig. 3). Its distinct 13C chemical shift and the evidence of a direct CH bond are different from the carboxylate of dobdc4− or other existing chemicals in the precursor solution. In the 1H-13C cross polarization (CP) spectra with a short contact time (CT = 50 μs), the emerging 172-ppm peak demonstrates a fast CP kinetics supporting its assignment to protonated carbon37. The possibility of a dangling -COOH is excluded, because the -COOH on H4dobdc does not show a detectable signal under the same CP condition of 50 μs (Supplementary Fig. 4). In contrast, the non-protonated sites, e.g., the carboxylate, only show up after a long contact time (CT = 3000 μs). This indicates the 172-ppm signal is a protonated carboxylate, i.e. formate, given its characteristic chemical shift and the strong coupling to proton38. The existence of formate is further confirmed by 1H solution-state NMR of acid-digested Mg-MOF-74 sample, which shows the characteristic 8.2 ppm 1H resonance for formic acid (Supplementary Fig. 5). Quantitative analysis of 13C solid-state and 1H solution-state NMR allows determining the formate to linker ratio in Mg-MOF-74 (Supplementary Fig. 6).
Interestingly, when the metal-to-ligand ratio (i.e. \(\left[{{{{{\rm{Mg}}}}}}{({{{{{{\rm{NO}}}}}}}_{3})}_{2}\right]/\left[{{{{{{\rm{H}}}}}}}_{4}{{{{{\rm{dobdc}}}}}}\right]\)) is 1:1 in the precursor solution, the 13C and 1H signals of formate is absent (Fig. 1c and Supplementary Fig. 5). This particular sample without formate is referred as “ideal” MOF-74 while others are regarded as “defective”. The defective and ideal MOF-74 differ in their Brunauer-Emmett-Teller (BET) surface areas (Supplementary Fig. 7a). The BET surface area of Mg-MOF-74 decreases from ~1900 m2/g to ~700 m2/g as the defect concentration increases. Similarly, the MOF-74 samples of higher defect concentrations have lower CO2 adsorption capacities (Supplementary Fig. 7b). This indicates the concentration of formate has a significant impact on gas adsorption capability, as we will discuss in the later section.
The concentration of formate in MOF-74 is related to the metal-to-ligand ratio used in the precursor solution (Fig. 1d). As the metal-to-ligand ratio is increased, the concentration of incorporated formate (measured as the formate-to-dobdc4- ratio, \(\left[{{{{{{\rm{For}}}}}}}^{-}\right]/\left[{{{{{{\rm{dobdc}}}}}}}^{4-}\right]\)) increases. Inductively coupled plasma optical emission spectrometry (ICP-OES) and quantitative solution-state NMR (Supplementary Table 2) show that metals and ligands in the crystals are in charge balance (dotted line in Fig. 1e): \(\left(+2\right)\times \left[{{{{{{\rm{Mg}}}}}}}^{2+}\right]+\left(-4\right)\times \left[{{{{{{\rm{dobdc}}}}}}}^{4-}\right]+\left(-1\right)\times \left[{{{{{{\rm{HC}}}}}}{{{{{{\rm{O}}}}}}}_{2}}^{-}\right]=0.\) This determines the stoichiometry in the chemical formula of MOF-74: Mg2(dobdc4-)1-x(HCO2-)4x. The defective samples are thus labeled as xD, where x is considered as the defect concentration.
It is known that DMF can hydrolyze into formic acid in reactive conditions39 and the degradation products of DMF have been observed in UiO-66 and other frameworks25,40. Here we show that different metals, including Co, Ni, Zn, and Cu, give rise to different effects on defect formation. When the samples are prepared with the same metal-to-ligand ratio of 6:1, Co-MOF-74 and Ni-MOF-74 (as well as Mg-MOF-74) exhibit high concentrations of formate defects. Yet Zn-MOF-74 and Cu-MOF-74 are almost free of formate defects (Fig. 1f and Supplementary Figs. 8–9).
It is worthwhile to prove that the formate incorporated into MOF-74 indeed originates from the DMF solvent. First, we used deuterated d7-DMF as the solution and prepared defective MOF-74 (0.23D-2H). 2H solid-state NMR of the dried solid sample measured without magic-angle spinning (MAS) shows a broad 2H quadrupolar pattern (Fig. 2a) consistent with a covalent C-D bond. The detection of 2H signal validates that the decomposed product of DMF ends up in the MOF matrix. The broad 2H quadrupolar pattern is consistent with a deuteron on carboxylate (C-D bond) rather than the deuterons on a methyl group (i.e. CD3), because the 2H pattern of CD3 would be much narrower due to methyl rotation41. Furthermore, when we synthesized 0.23D MOF sample with partial carbonyl-13C labeled DMF (4 and 22%), the 172-ppm 13C peak becomes much more enhanced (Supplementary Fig. 10), confirming again the origin of formate from DMF. It is worth mentioning that, if the solvent is replaced with tetrahydrofuran (THF), the MOF-74 is free of formate defects under the same synthetic conditions (Supplementary Fig. 11).
Determining the coordination structure of formate
We integrate multiple strategies to uncover the coordination structure of formate in the MOF. The first clue comes from the 2H quadrupolar pattern of the deuterated formate (derived from d7-DMF) thanks to its intrinsic sensitivity to molecular dynamics. The characteristic Pake pattern with a splitting of 146 kHz (i.e., the frequency difference between the tips) indicates the formate is completely rigid (Fig. 2a, Supplementary Fig. 12)42, while a flexible formate would give a motional averaged pattern with narrowed splitting43,44. The rigidity of formate implies that it should take the bidentate coordination instead of monodentate. Note that a monodentate coordination would result in wobbling motion similar to the acetate in UiO-6634.
In Fig. 2b, the 13C CPMAS spectrum (with a contact time of 50 μs) is shown for a defective MOF-74 with 13C labeled formate (derived from 22% 13C-carbonyl labeled DMF). The use of a short contact time allows the selective observation of the formate and avoids the carboxylate signal from the dobdc4– ligands. The 13C signal of formate is composed of two partially overlapped peaks with roughly equal populations (Fig. 2b): one at 171 ppm (labeled as “5”) and the other at 174 ppm (labeled as “6”). These peaks indicate two distinct coordination structures of formate as we will discuss later. For instance, previous studies have shown that the chelating carboxylate normally has a larger 13C chemical shift than the bridging carboxylate by about 3~5 ppm45,46.
The next question regarding the defect structure is the spatial placement of formates in the framework, whether they are clustered together or distribute evenly with the dobdc4- ligands. We performed 13C-13C double quantum-single quantum (DQ-SQ) experiments to explore the proximity between the organic components. The DQ-SQ spectra were recorded with MAS at 100 K to boost the signal-to-noise ratio of 13C signals (Fig. 2c, Supplementary Fig. 13). The formate in the 0.23D sample is derived from 4% 13C-carbonyl labeled DMF. For a short recoupling time of 5 ms under the S347,48,49 dipolar recoupling sequence, the correlation peaks indicate short-range C–C proximity within 3–4 Å (Fig. 2c). The short-range correlation not only shows the intramolecular peaks for the dobdc4− ligand (marked as 1–2, 1–3, 1–4, 3–4, etc.), but also shows intermolecular correlation peaks (marked as 5–6) for the formate sites “5” and “6”. This suggests the two formate configurations are positioned on the nearby Mg2+ sites. As the recoupling time is increased to 12.5 ms, further C–C proximity within 6–7 Å can be revealed (Fig. 2c). The intermolecular correlations of 5–5 and 6–6 only become more pronounced at the long recoupling time, suggesting the 5–5 and 6–6 distances are farther than 5–6 distance (consistent with the proposed structure shown in Supplementary Fig. 14). Besides, the intermolecular correlations between the formate and the dobdc4− ligand are clearly observed including correlation peaks 5–4, 6–4, 5–3, 6–3, 5–1, 6–1 etc. The long-range peaks indicate that formate moieties are in proximity with dobdc4− linkers, and thus should distribute homogeneously in the framework.
With the experimental evidence, we conclude the formates can substitute dobdc4− ligands in Mg-MOF-74 and create defects on the wall of honeycomb channel. Considering four formate molecules substitute one dobdc4− to maintain charge balance, the bonding configurations of formates are optimized by density function theory (DFT) calculations (Fig. 2d). The calculated 13C chemical shifts for formate sites “5” and “6” match with the experimental results (Fig. 2e). The simulated PXRD patterns of ideal and 0.056D defective frameworks are similar (Supplementary Fig. 15) suggesting the crystal lattice is unaffected by formate defects. However, the defective structure indicates that the formate defects reduce the number of open Mg2+ sites in MOF-74. The Mg2+ site shared by two formates is six-coordinated (marked with a red arrow in Fig. 2d), yet the Mg2+ sites in an ideal framework are all five-coordinated. Therefore, a single defect site (where a dobdc4− linker is replaced by four formates) eliminates two open metal sites. We expect these formate defects should have notable impact on the adsorption properties of MOF-74.
Understanding the impact of defects on gas adsorption
The BET surface areas of defective Mg-MOF-74 are measured with N2 adsorption isotherms at 77 K (Supplementary Fig. 7a). The surface areas show a linear dependence with respect to the defect concentration: \({A}_{{{{{{\rm{BET}}}}}}}=1863\times \left(1-2x\right)\,\left[{{{{{{\rm{m}}}}}}}^{2}/{{{{{\rm{g}}}}}}\right]\) (Fig. 3a). The CO2 uptakes of Mg-MOF-74 at 303 K are plotted in Fig. 3b at a pressure of 1 atm. At 303 K, the molar uptake of CO2 is about 1.2 :1 with respect to the Mg sites in ideal Mg-MOF-74. The CO2 uptake also shows a linear dependence with respect to the defect concentration: \(\frac{\left[{{{{{{\rm{CO}}}}}}}_{2}\right]}{\left[{{{{{{\rm{Mg}}}}}}}^{2+}\right]}=1.2\times \left(1-2x\right) \left[{{{{{\rm{mol}}}}}}/{{{{{\rm{mol}}}}}}\right].\) These results indicate that a missing dobdc4− linker eliminates two adsorption sites for both N2 and CO2, and the observations are consistent with the two saturated Mg on a defect site in Fig. 2d. The reduction of open metal sites also reduces the heat of adsorption for CO2 in defective Mg-MOF-74 (Supplementary Fig. 7e).
To further understand the mechanism of CO2 adsorption, we perform in situ 13C NMR of CO2 adsorbed in Mg-MOF-74 (Fig. 3c, d). The CO2 molecules are 99% 13C labeled and are maintained at a pressure of 2 atm. The chemical shift anisotropy (CSA) patterns of CO2 are collected at variable temperatures from 240 to 345 K. The dynamics of adsorbed CO2 is inferred in the motional averaged CSA patterns14,44. The CO2 in Mg-MOF-74 displays a dominant CSA pattern of uniaxial rotation (red pattern) which is interpreted as a multisite hopping along the channels50. The rotation angle varies with respect to the temperature and the transitions are similar for both ideal and defective MOFs (Figs. 3c, 3d and Supplementary Fig. 16). The results indicate that the electrostatic interaction between CO2 and the open metal sites is the primary (site I) adsorption mechanism for both ideal and defective MOFs14,21,51,52,53,54. The difference appears at temperatures above 300 K. Here, an additional Gaussian peak (blue pattern) appears in the ideal MOF-74, but it is much less evident in defective MOFs. The Gaussian peak in ideal MOF-74 is attributed to the second CO2 adsorption sites (site II) in addition to the open Mg2+ centers14,22,52.
To further explore our experimental findings, we perform molecular dynamics (MD) simulations of CO2 in Mg-MOF-74. The simulated CO2 adsorption isotherms (at 303 K) for ideal and defective Mg-MOF-74 are shown in Fig. 3e. The CO2 uptake for defective MOF (0.056D) is just 90% of that in ideal MOF at different partial pressures. This agrees well with the \(1-2x\) formula mentioned above. In Fig. 3f, we plot localization density map of CO2 adsorbed in the defective framework. As we can see, the CO2 molecules are preferentially localized next to the Mg2+ metal ions with site I and site II. However, at the formate defect, the localization density of CO2 is greatly reduced for both primary I and secondary II sites.
Figure 3f clearly demonstrates that the reduced CO2 uptake in defective Mg-MOF-74 is due to the local elimination of open metal sites by the formates (see the dashed circles). But the remaining intact Mg2+ sites can still interact with CO2 as strongly as those in an ideal framework. As a result, CO2 molecules in the defective framework also hop along the honeycomb channel giving similar 13C CSA patterns of uniaxial rotation. Furthermore, when the localization densities of CO2 at site I and site II are counted separately (the inserted plot in Fig. 3f), it shows the adsorption at site II is more reduced than site I in the defective framework. This explains the apparent reduction of the Gaussian peak (CO2 adsorption at site II) in the defective MOFs such as 0.23D (Fig. 3d) and 0.08D (Supplementary Fig. 16).
In summary, we uncover the solvent-derived formate defect in MOF-74 frameworks based on comprehensive NMR signatures. We show that formate is derived from decomposed DMF solvent, and its concentration can be controlled by the metal-to-ligand ratio in the precursor solution. The formate substitutes the dobdc4− ligand quantitatively and forms extra Mg-O bonds. The open metal site at the defect is eliminated and it results in the reduction of gas adsorption in defective MOF-74. Besides CO2, the adsorption of hydrocarbons in MOF-74 could also be reduced because they are attracted to the open metal sites55. On the other hand, the formate defects alter the channel connectivity of MOF-74. It offers a possibility to control the diffusion pathway for small molecules, similar to the correlated defects in UiO-66 (also formed with formate)23,24. Remarkably, we show that the formate in MOF-74 can withstand temperatures up to 523 K and the defective MOF retains crystallinity after the formate is removed at 573 K (Supplementary Fig. 17). The heating treatment or other post-synthetic modifications could provide potential routes to engineer new functions in defective MOF-747,56,57.
Methods
Synthesis of Mg-MOF-74
The Mg-MOF-74 samples were synthesized by modifying a recipe from a previous report10. The ligand H4dobdc (0.111 g, 0.559 mmol, 1 equiv.) and salt Mg(NO3)2·6H2O (1 to 11 equiv., quantities given in Supplementary Table 1) were dissolved in 100 mL reaction glass bottles containing 50 mL of a 15:1:1 (v/v/v) mixture of DMF/ethanol/water solution by ultrasonication. Each reaction bottle was capped tightly and placed in an oven at 125 °C for 20 h. The solid products were washed with DMF 2 times every 3 h and with methanol 4 times every 12 h. For further activation, selected samples were activated at 523 K (to remove the solvent) or 573 K (to remove the solvents and formate) under vacuum for 1 day.
100% carbonyl-13C labeled DMF was diluted with non-labeled DMF to 4 and 22% carbonyl-13C labeled DMF. For 13C-labeled or 2H solid-state NMR experiments, three samples were synthesized by adding Mg(NO3)2·6H2O (0.1115 g, 0.447 mmol, 4 equiv.) and H4dobdc (0.022 g, 0.112 mmol, 1 equiv.) in 20 mL vials containing either 10 mL 4% carbonyl-13C labeled DMF, 10 mL 22% carbonyl-13C labeled DMF or 10 mL d7-DMF. 0.67 mL ethanol and 0.67 mL water were also added in each vial. Each vial was capped tightly and placed in an oven at 125 °C for 20 h. The solid products were washed with DMF 2 times every 3 h and with methanol 4 times every 12 h. The solids were stored in a vial of methanol until they were used for further experiments.
Mg-MOF-74 samples were also synthesized in tetrahydrofuran (THF) solvent58. 0.75 mmol of H4dobdc was dissolved in 10 mL of THF in a 30 mL vial. An aqueous sodium hydroxide solution (3 mL, 1 M) was added to this solution. Mg(NO3)2· 6H2O aqueous solution (5 mL, 0.3 M) was then added to the vial. This vial was capped tightly and placed in an oven at 110 °C for 3 days. The resulting light-yellow powder was filtered, repeatedly washed with THF, and dried at room temperature.
Synthesis of Co-MOF-74
A solid mixture of H4dobdc (0.042 g, 0.213 mmol, 1 equiv.) and Co(NO3)2·6H2O (0.371 g, 1.275 mmol, 6 equiv.) was added a 1:1:1 (v/v/v) mixture of DMF/ethanol/water (18 mL) in a 30 mL vial10. The suspension was mixed and ultrasonicated. The reaction vial was capped tightly and placed in an oven at 100 °C for 24 h. The solid products were washed with DMF 2 times every 3 h and with methanol 4 times every 12 h.
Synthesis of Ni-MOF-74
A solid mixture of H4dobdc (0.042 g, 0.213 mmol, 1 equiv.) and Ni(NO3)2·6H2O (0.371 g, 1.275 mmol, 6 equiv.) was added a 1:1:1 (v/v/v) mixture of DMF/ethanol/water (18 mL) in a 30 mL vial10. The suspension was mixed and ultrasonicated. The reaction vial was capped tightly and placed in an oven at 100 °C for 24 h. The solid products were washed with DMF 2 times every 3 h and with methanol 4 times every 12 h.
Synthesis of Cu-MOF-74
A solid mixture of H4dobdc (0.042 g, 0.213 mmol, 1 equiv.) and Cu(NO3)2·3H2O (0.308 g, 1.275 mmol, 6 equiv.) was added a 20:1 (v/v) mixture of DMF and 2-propanol (18 mL) in a 30 mL vial59. The suspension was mixed and ultrasonicated. The reaction vial was capped tightly and placed in an oven at 100 °C for 20 h. The solid products were washed with DMF 2 times every 3 h and with methanol 4 times every 12 h.
Synthesis of Zn-MOF-74
A solid mixture of H4dobdc (0.042 g, 0.213 mmol, 1 equiv.) and Zn(NO3)2·6H2O (0.379 g, 1.275 mmol, 6 equiv.) was added a 20:1 (v/v) mixture of DMF and H2O (18 mL) in a 30 mL vial60. The suspension was mixed and ultrasonicated. The reaction vial was capped tightly and placed in an oven at 100 °C for 20 h. The solid products were washed with DMF 2 times every 3 h and with methanol 4 times every 12 h.
Characterizations
1H solution-state NMR spectra were acquired on Bruker AV-300 or ABV-400. ~5 mg of each MOF-74 powder was digested in a solution of 0.15 mL of 35 wt.% DCl in D2O and 0.4 mL of DMSO-d6 to quantify the formate and dobdc4− concentrations. The solutions were sonicated until the solids were fully dissolved. The actual formate and dobdc4− concentrations in MOF samples were determined from the 1H signals of formate and dobdc4− relative to that of known-concentration of 1,3,5-trimethoxybenzene (as the internal standard for quantification).
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°.
SEM imaging was performed on a HITACHI SU8000 FE-SEM with a field emission at 5 kV.
Nitrogen sorption was measured at 77 K on BelSorp-max instrument. Brunauer-Emmett-Teller (BET) surface areas were calculated by fitting the isotherm data in the P/P0 range of 0–0.1.
Carbon dioxide sorption was measured at 303 and 323 K. Prior to adsorption measurements, the Mg-MOF-74 samples were pretreated (activated) under vacuum for 24 h at 523 K.
ICP-OES analysis was conducted on an ICP Optima 7000 DV instrument. ~5 mg of MOF were sonicated and fully digested in 0.15 mL of 35 wt.% HCl solution and 0.4 mL of DMSO. 50 µL dissolved MOF solutions were diluted with 10 mL pure H2O. The diluted solutions were used to test the magnesium contents by ICP-OES. The Mg2+ concentration (mg·L−1) in different MOF samples was experimentally determined by referring to a magnesium standard curve.
Solid-state NMR
Room temperature 13C NMR experiments and variable-temperature static 2H NMR experiments were performed on a Bruker Avance III HD 400 MHz NMR spectrometer (1H, 400.13 MHz; 13C, 100.61 MHz; 2H, 61.42 MHz) using a 3.2 mm magic angle spinning (MAS) probe. 13C spectra were collected using cross-polarization (CP) or direct polarization (DP) sequences under MAS of 15 kHz. The recycle delay of DP sequence was set to 250 s to ensure all the 13C signals were recovered to equilibrium, while the recycle delay of CP was set to 1.5 s. The 1H radio frequency (RF) field strength was 100 kHz and the 13C RF field strength was 83 kHz. The 13C signals are referenced to the methylene signal of adamantane at 38.5 ppm.
The static 2H solid-state NMR spectra were obtained by the solid echo sequence (90°x-τ1-90°y-τ2-acquisition). τ1 was set to 100 μs and τ2 was set to 0 to obtain the complete echo signal. Scans of 70 k were accumulated for each spectrum. The temperature was controlled by a Bruker temperature controller BCUII with a deviation of less than ±1.0 K. 2H line shape fittings were carried out by TOPSPIN.
13C–13C double quantum-single quantum (DQ-SQ) experiments were performed on a Bruker Avance III 400 MHz system equipped a low temperature (~100 K) double resonance 3.2 mm MAS probe. The 2D spectra were recorded at 100 K and a MAS rate of 12 kHz. Dipolar recoupling sequence S347 was used for DQ excitation and reconversion. 100 kHz RF-field strength was used for SWf-TPPM61 heteronuclear decoupling during indirect (t1) and direct (t2) detection periods, and for continuous wave (CW) decoupling during S3 recoupling. A z-filter of 100 μs was inserted before acquisition. Five experiments were recorded with different mixing times ranging from 1 to 5 loops of S3 for both the DQ excitation and reconversion blocks.
The variable-temperature in situ 13C NMR experiments were performed on a Bruker Avance III HD 400 MHz NMR spectrometer using a static probe. The activated samples were packed in a homebuilt sample tube and kept under a constant pressure of 13C-enriched CO2 (2 atm) by connecting to a gas cylinder. The temperature was controlled by a Bruker temperature controller BCUII with a deviation of less than ±1.0 K. Single pulse excitation with a recycle delay of 5 s was used. Motional averaged NMR line shapes were simulated by EXPRESS package62. A linear geometry of CO2 molecules with CSA tensors δ11 = δ22 = 232 ppm, δ33 = −82.5 ppm was assumed. The simulation was performed under the fast motion limit (i.e., assuming the rotation rate exceeds 1 × 106 Hz) with 3-site jumps of equal populations (i.e., a rotation with 3 discrete steps).
Computational methods
System and force field
The structural optimization and partial charge calculations were performed in CP2K package63, whose input files were generated by Multiwfn package64. The trigonal unit cell of MOF-74 is taken from previous work22. The atomic positions and cell size are optimized by the density functional theory (DFT) calculations, in which we use Perdew-Burke-Ernzerhof (PBE) exchange correlation functional65 in combination with molecularly optimized (MOLOPT) Double-Zeta-Valence plus Polarization (DZVP)66 and Goedecker-Teter-Hutter (GTH) pseudo potentials67 basis set. The plane-wave energy cutoff is 400 Ry. The integration over the irreducible Brillouin zone is computed over a 2 × 2 × 8 Monkhorst-Pack mesh of k-points. Then, the duplicated unit cell in the (001) direction is used as the intact MOF-74, which is expressed as Mg36(dobdc)18.
The defective MOF-74, Mg36(dobdc)17(HCO2)4, is built by replacing one dobdc4− linker in the intact MOF-74 by four formate groups, in which the defect concentration x is 0.056 in the formula of Mg2(dobdc)1-x(HCO2)4x. The atomic positions and cell size are optimized in the same way for the intact MOF-74, except the calculation being only performed on Gamma point due to its duplicated size.
The partial charges for both the intact and defective MOF-74 are calculated by the REPEAT scheme68. For the defective MOF-74, we consider that twelve Mg ions next to the formate molecules have an identical charge and two formate molecules on the diagonal have the same charge set.
For the 6–12 Lennard-Jones (LJ) potentials, Universal Force Field (UFF)69 is applied to the MOF, while TraPPE model70 is for CO2. The cross interactions involving CO2 are described by the model 3 in the paper by Lin et al.71, while the Lorentz-Berthelot combination rules are applied for the others. The carbon and oxygen atoms of formate are considered as Ca and Oa in ref. 71, respectively, and the model 3 cross interaction is used. The intermolecular interactions are truncated at 1.2 nm, and the Particle-Particle Particle-Mesh K-space (PPPM) technique72 with k-space accuracy of 1.0 × 10-4 is used to compute the long-range Coulombic interaction.
NVT-MD/GCMC simulations
All the simulations were conducted in LAMMPS package73. The adsorption of CO2 on the MOF is evaluated through the combination between MD simulations under the constant volume and pressure ensemble (NVT-MD) and the grand canonical Monte Carlo (GCMC) simulations. The NVT-MD/GCMC is a hybrid modeling approach that uses MD to advance atomic trajectories and GCMC to implement atomic insertions and deletions. The time step of MD simulations is 2 fs. GCMC exchanges CO2 in the MOF with an imaginary ideal gas reservoir with a specified chemical potential (pressure). Each five trials for insertions and deletions are conducted on every 2 ps of MD simulation. The temperature is set to 303 K, which is maintained by Nose-Hoover thermostat74,75.The total simulation length at each pressure is 6 ns, and the last 2 ns is used for analyses. The calculated adsorption isotherms are scaled down to 70% to match the experimental results.
13C chemical shift calculations
Gauge-invariant atomic orbital (GIAO) scheme76,77,78,79 was applied to compute the isotropic magnetic shielding (\({\sigma }_{{{{{{\rm{calc}}}}}}.}^{{{{{{\rm{X}}}}}}}\)) of 13C in the optimized unit cell of defective MOF-74 with the periodic boundary condition. The calculation was performed under the level of revTPSS/pcsSeg-180,81,82. The individual carbon chemical shift of defective MOF-74 (\({\delta }_{{{{{{\rm{calc}}}}}}.}^{{{{{{\rm{X}}}}}}}\)) is computed according to the equation: \({\delta }_{{{{{{\rm{calc}}}}}}.}^{{{{{{\rm{X}}}}}}}={\sigma }_{{{{{{\rm{calc}}}}}}.}^{{{{{{\rm{ref}}}}}}.}+{\sigma }_{{{{{{\rm{calc}}}}}}.}^{{{{{{\rm{X}}}}}}}+{\delta }_{{{{{{\rm{calc}}}}}}.}^{{{{{{\rm{ref}}}}}}.}\). Here, methylene of adamantane (\({\delta }_{{{{{{\rm{calc}}}}}}.}^{{{{{{\rm{ref}}}}}}.}=38.5\,{{{{{\rm{ppm}}}}}}\)) is referenced. The calculated 13C chemical shifts are all shifted to downfield by 8 ppm to match the experimental results.
Localization density map in Fig. 3f
As mentioned above, the system size of the defective MOF-74 is double of the unit cell along the (001) direction. The defects (four formates) are introduced into the top half. We compute the local probability of carbon atom in the top half region and project them on the two-dimentional map perpendicular to the (001) direction.
Input files for NVT-MD/GCMC simulations and NMR analyses
The input files for NVT-MD/GCMC simulations and NMR calculations are available in Source Data file. Details are described in the file “File_List.pdf”.
Data availability
All data generated in this study are provided in the article and Supplementary Information, and raw data are provided in the Source Data file. Source Data file also contains the structural file for the defective MOF and input files for molecular dynamics simulation and 13C chemical shift calculations. Source data are provided with this paper.
References
Zhou, H. C., Long, J. R. & Yaghi, O. M. Introduction to metal-organic frameworks. Chem. Rev. 112, 673–674 (2012).
Long, J. R. & Yaghi, O. M. The pervasive chemistry of metal-organic frameworks. Chem. Soc. Rev. 38, 1213–1214 (2009).
Dissegna, S., Epp, K., Heinz, W. R., Kieslich, G. & Fischer, R. A. Defective metal-organic frameworks. Adv. Mater. 1704501, 1–23 (2018).
Fu, Y. et al. Defect-assisted loading and docking conformations pharmaceuticals in metal-organic frameworks. Angew. Chem. Int. Ed. 133, 7798–7806 (2021).
Lee, T. H. et al. Defect engineering in metal–organic frameworks towards advanced mixed matrix membranes for efficient propylene/propane separation. Angew. Chem. Int. Ed. 60, 13081–13088 (2021).
Taddei, M. When defects turn into virtues: the curious case of zirconium-based metal-organic frameworks. Coord. Chem. Rev. 343, 1–24 (2017).
Fang, Z., Bueken, B., De Vos, D. E. & Fischer, R. A. Defect-engineered metal-organic frameworks. Angew. Chem. Int. Ed. 54, 7234–7254 (2015).
Sholl, D. S. & Lively, R. P. Defects in metal-organic frameworks: challenge or opportunity? J. Phys. Chem. Lett. 6, 3437–3444 (2015).
Ren, J. et al. Structural defects in metal–organic frameworks (MOFs): formation, detection and control towards practices of interests. Coord. Chem. Rev. 349, 169–197 (2017).
Caskey, S. R., Wong-Foy, A. G. & Matzger, A. J. Dramatic tuning of carbon dioxide uptake via metal substitution in a coordination polymer with cylindrical pores. J. Am. Chem. Soc. 130, 10870–10871 (2008).
Britt, D., Furukawa, H., Wang, B., Glover, T. G. & Yaghi, O. M. Highly efficient separation of carbon dioxide by a metal-organic framework replete with open metal sites. Proc. Natl Acad. Sci. USA 106, 20637–20640 (2009).
Deng, H. et al. Large-pore apertures in a series of metal-organic frameworks. Jew. Orthodox. Scotl. 336, 1018–1023 (2012).
McDonald, T. M. et al. Cooperative insertion of CO2 in diamine-appended metal-organic frameworks. Nature 519, 303–308 (2015).
Kong, X. et al. CO2 dynamics in a metal–organic framework with open metal sites. J. Am. Chem. Soc. 134, 14341–14344 (2012).
Millward, A. R. & Yaghi, O. M. Metal-organic frameworks with exceptionally high capacity for storage of carbon dioxide at room temperature. J. Am. Chem. Soc. 127, 17998–17999 (2005).
Bloch, E. D. et al. Hydrocarbon separations in a metal-organic framework with open iron(II) coordination sites. Science 335, 1606–1610 (2012).
Heidary, N., Chartrand, D., Guiet, A. & Kornienko, N. Rational incorporation of defects within metal-organic frameworks generates highly active electrocatalytic sites. Chem. Sci. 12, 7324–7333 (2021).
Villajos, J. A., Jagorel, N., Reinsch, S. & Emmerling, F. Increasing exposed metal site accessibility in a Co-MOF-74 material with induced structure-defects. Front. Mater. 6, 1–10 (2019).
El-Gamel, N. E. A. Generation of defect-modulated metal-organic frameworks by fragmented-linker Co-assembly of CPO-27(M) frameworks. Eur. J. Inorg. Chem. 2015, 1351–1358 (2015).
Wu, D., Yan, W., Xu, H., Zhang, E. & Li, Q. Defect engineering of Mn-based MOFs with rod-shaped building units by organic linker fragmentation. Inorg. Chim. Acta 460, 93–98 (2017).
Forse, A. C. et al. Influence of pore size on carbon dioxide diffusion in two isoreticular metal–organic frameworks. Chem. Mater. 32, 3570–3576 (2020).
Queen, W. L. et al. Comprehensive study of carbon dioxide adsorption in the metal-organic frameworks M2(dobdc) (M = Mg, Mn, Fe, Co, Ni, Cu, Zn). Chem. Sci. 5, 4569–4581 (2014).
Johnstone, D. N. et al. Direct imagine of correlated defect nanodomains in a metal-organic framework. J. Am. Chem. Soc. 142, 13081–13089 (2020).
Cliffe, M. J. et al. Correlated defect nanoregions in a metal-organic framework. Nat. Commun. 5, 1–8 (2014).
Shearer, G. C. et al. Defect engineering: tuning the porosity and composition of the metal-organic framework UiO-66 via modulated synthesis. Chem. Mater. 28, 3749–3761 (2016).
Trickett, C. A. et al. Definitive molecular level characterization of defects in UiO-66. Cryst. Angew. Chem. Int. Ed. 54, 11162–11167 (2015).
Liu, L. et al. Imaging defects and their evolution in a metal–organic framework at sub-unit-cell resolution. Nat. Chem. 11, 622–628 (2019).
Zhu, Y. et al. Unravelling surface and interfacial structures of a metal-organic framework by transmission electron microscopy. Nat. Mater. 16, 532–536 (2017).
Kang, X. et al. Integration of mesopores and crystal defects in metal-organic frameworks via templated electrosynthesis. Nat. Commun. 10, 1–9 (2019).
Li, Y. et al. Cryo-EM structures of atomic surfaces and host-guest chemistry in metal-organic frameworks. Matter 1, 428–438 (2019).
Driscoll, D. M. et al. Characterization of undercoordinated Zr defect sites in UiO-66 with vibrational spectroscopy of adsorbed CO. J. Phys. Chem. C 122, 14582–14589 (2018).
Tan, K. et al. Defect termination in the UiO-66 family of metal-organic frameworks: the role of water and modulator. J. Am. Chem. Soc. 143, 6328–6332 (2021).
Jiang, Z. R., Wang, H., Hu, Y., Lu, J. & Jiang, H. L. Polar group and defect engineering in a metal-organic framework: synergistic promotion of carbon dioxide sorption and conversion. ChemSusChem 8, 878–885 (2015).
Fu, Y. et al. Duet of acetate and water at the defects of metal–organic frameworks. Nano Lett. 19, 1618–1624 (2019).
Fu, Y. et al. Defect‐assisted loading and docking conformations of pharmaceuticals in metal‐organic frameworks. Angew. Chem. Int. Ed. 133, 2–11 (2021).
Yin, J. et al. Molecular identification and quantification of defect sites in metal-organic frameworks with NMR probe molecules. Nat. Commun. 13, 1–9 (2022).
Levitt, M. H., Suter, D. & Ernst, R. R. Spin dynamics and thermodynamics in solid-state NMR cross polarization. J. Chem. Phys. 84, 4243–4255 (1986).
Rossin, A., Chierotti, M. R., Giambastiani, G., Gobetto, R. & Peruzzini, M. Amine-templated polymeric Mg formates: crystalline scaffolds exhibiting extensive hydrogen bonding. CrystEngComm 14, 4454–4460 (2012).
Yang, Q., Sheng, M. & Huang, Y. Potential safety hazards associated with using N, N-dimethylformamide in chemical reactions. Org. Process Res. Dev. 24, 1586–1601 (2020).
Burrows, A. D. et al. Solvent hydrolysis and templating effects in the synthesis of metal-organic frameworks. CrystEngComm 7, 548–550 (2005).
Kolokolov, D. I., Stepanov, A. G. & Jobic, H. Mobility of the 2-methylimidazolate linkers in ZIF-8 probed by 2H NMR: saloon doors for the guests. J. Phys. Chem. C 119, 27512–27520 (2015).
Spiess, H. W. Deuteron NMR— a new tool for studying chain mobility and orientation in polymers. in In Characterization of Polymers in the Solid State I: Part A: NMR and Other Spectroscopic Methods Part B: Mechanical Methods 23–58. https://doi.org/10.1007/3-540-13779-3_16 (1985).
Pang, Z., Zhang, J., Cao, W., Kong, X. & Peng, X. Partitioning surface ligands on nanocrystals for maximal solubility. Nat. Commun. 10, 1–8 (2019).
Fu, Y., Guan, H., Yin, J. & Kong, X. Probing molecular motions in metal-organic frameworks with solid-state NMR. Coord. Chem. Rev. 427, 213563 (2021).
Ye, B. H., Li, X. Y., Williams, I. D. & Chen, X. M. Synthesis and structural characterization of di- and tetranuclear zinc complexes with phenolate and carboxylate bridges. Correlations between 13C NMR chemical shifts and carboxylate binding modes. Inorg. Chem. 41, 6426–6431 (2002).
Zhang, J. et al. Identification of facet-dependent coordination structures of carboxylate ligands on CdSe nanocrystals. J. Am. Chem. Soc. 141, 15675–15683 (2019).
Teymoori, G., Pahari, B. & Edén, M. Low-power broadband homonuclear dipolar recoupling in MAS NMR by two-fold symmetry pulse schemes for magnetization transfers and double-quantum excitation. J. Magn. Reson. 261, 205–220 (2015).
Märker, K. et al. Welcoming natural isotopic abundance in solid-state NMR: probing π-stacking and supramolecular structure of organic nanoassemblies using DNP. Chem. Sci. 8, 974–987 (2017).
Smith, A. N., Märker, K., Hediger, S. & De Paëpe, G. Natural isotopic abundance 13C and 15N multidimensional solid-state NMR enabled by dynamic nuclear polarization. J. Phys. Chem. Lett. 10, 4652–4662 (2019).
Lin, L. C. et al. Understanding CO2 dynamics in metal-organic frameworks with open metal sites. Angew. Chem. Int. Ed. 52, 4410–4413 (2013).
Witherspoon, V. J., Xu, J. & Reimer, J. A. Solid-state NMR investigations of carbon dioxide gas in metal-organic frameworks: insights into molecular motion and adsorptive behavior. Chem. Rev. 118, 10033–10048 (2018).
Queen, W. L. et al. Site-specific CO2 adsorption and zero thermal expansion in an anisotropic pore network. J. Phys. Chem. C 115, 24915–24919 (2011).
Valenzano, L. et al. Computational and experimental studies on the adsorption of CO, N2, and CO2 on Mg-MOF-74. J. Phys. Chem. C 114, 11185–11191 (2010).
Wang, W. D., Lucier, B. E. G., Terskikh, V. V., Wang, W. & Huang, Y. Wobbling and hopping: Studying dynamics of CO2 adsorbed in metal-organic frameworks via 17O solid-state NMR. J. Phys. Chem. Lett. 5, 3360–3365 (2014).
Herm, Z. R., Bloch, E. D. & Long, J. R. Hydrocarbon separations in metal–organic frameworks. Chem. Mater. 26, 323–338 (2014).
Xu, W. et al. Defects engineering simultaneously enhances activity and recyclability of MOFs in selective hydrogenation of biomass. Nat. Commun. 13, 1–9 (2022).
Dissegna, S. et al. Tuning the mechanical response of metal−organic frameworks by defect engineering. J. Am. Chem. Soc. 140, 11581–11584 (2018).
Xu, J., Sinelnikov, R. & Huang, Y. Capturing guest dynamics in metal-organic framework CPO-27-M (M = Mg, Zn) by 2H solid-state NMR spectroscopy. Langmuir 32, 5468–5479 (2016).
Sanz, R., Martínez, F., Orcajo, G., Wojtas, L. & Briones, D. Synthesis of a honeycomb-like Cu-based metal-organic framework and its carbon dioxide adsorption behaviour. Dalt. Trans. 42, 2392–2398 (2013).
Rowsell, J. L. C. & Yaghi, O. M. Effects of functionalization, catenation, and variation of the metal oxide and organic linking units on the low-pressure hydrogen adsorption properties of metal-organic frameworks. J. Am. Chem. Soc. 128, 1304–1315 (2006).
Paul, S., Kurur, N. D. & Madhu, P. K. On the choice of heteronuclear dipolar decoupling scheme in solid-state NMR. J. Magn. Reson. 207, 140–148 (2010).
Vold, R. L. & Hoatson, G. L. Effects of jump dynamics on solid state nuclear magnetic resonance line shapes and spin relaxation times. J. Magn. Reson. 198, 57–72 (2009).
Hutter, J., Iannuzzi, M., Schiffmann, F. & Vandevondele, J. Cp2k: atomistic simulations of condensed matter systems. Wiley Interdiscip. Rev. Comput. Mol. Sci. 4, 15–25 (2014).
Lu, T. & Chen, F. Multiwfn: a multifunctional wavefunction analyzer. J. Comput. Chem. 33, 580–592 (2012).
Perdew, J. P., Burke, K. & Ernzerhof, M. Generalized gradient approximation made simple. Phys. Rev. Lett. 77, 3865–3868 (1996).
VandeVondele, J. & Hutter, J. Gaussian basis sets for accurate calculations on molecular systems in gas and condensed phases. J. Chem. Phys. 127, 114105 (2007).
Goedecker, S. & Teter, M. Separable dual-space Gaussian pseudopotentials. Phys. Rev. B 54, 1703–1710 (1996).
Campañá, C., Mussard, B. & Woo, T. K. Electrostatic potential derived atomic charges for periodic systems using a modified error functional. J. Chem. Theory Comput. 5, 2866–2878 (2009).
Rappé, A. K., Casewit, C. J., Colwell, K. S., Goddard, W. A. & Skiff, W. M. UFF, a full periodic table force field for molecular mechanics and molecular dynamics simulations. J. Am. Chem. Soc. 114, 10024–10035 (1992).
Stoll, J., Vrabec, J. & Hasse, H. Vapor-liquid equilibria of mixtures containing nitrogen, oxygen, carbon dioxide, and ethane. AIChE J. 49, 2187–2198 (2003).
Lin, L. C., Lee, K., Gagliardi, L., Neaton, J. B. & Smit, B. Force-field development from electronic structure calculations with periodic boundary conditions: Applications to gaseous adsorption and transport in metal-organic frameworks. J. Chem. Theory Comput. 10, 1477–1488 (2014).
Hockney, R. & Eastwood, J. Computer Simulation Using Particles. crc Press. https://doi.org/10.1887/0852743920 (2021)
Plimpton, S. Fast parallel algorithms for short-range molecular dynamics. J. Comput. Phys. 117, 1–19 (1995).
Nosé, S. A unified formulation of the constant temperature molecular dynamics methods. J. Chem. Phys. 81, 511–519 (1984).
Hoover, W. G. Canonical dynamics: equilibrium phase-space distributions. Phys. Rev. A 31, 1695–1697 (1985).
McMichael Rohlfing, C., Allen, L. C. & Ditchfield, R. Proton and carbon-13 chemical shifts: comparison between theory and experiment. Chem. Phys. 87, 9–15 (1984).
Dltchfield, R. Molecular orbital theory of magnetic shielding and magnetic susceptibility. J. Chem. Phys. 56, 5688–5691 (1972).
Ditchfield, R. Self-consistent perturbation theory of diamagnetism I. A gauge-invariant LCAO method for N.M.R. chemical shifts. Mol. Phys. 27, 789–807 (1974).
Wolinski, K., Hinton, J. F. & Pulay, P. Efficient implementation of the gauge-independent atomic orbital method for NMR chemical shift calculations. J. Am. Chem. Soc. 112, 8251–8260 (1990).
Tao, J., Perdew, J. P., Staroverov, V. N. & Scuseria, G. E. Climbing the density functional ladder: nonempirical meta–generalized gradient approximation designed for molecules and solids. Phys. Rev. Lett. 91, 3–6 (2003).
Perdew, J. P., Ruzsinszky, A., Csonka, G. I., Constantin, L. A. & Sun, J. Workhorse semilocal density functional for condensed matter physics and quantum chemistry. Phys. Rev. Lett. 103, 10–13 (2009).
Jensen, F. Segmented contracted basis sets optimized for nuclear magnetic shielding. J. Chem. Theory Comput. 11, 132–138 (2015).
Acknowledgements
This work is financially supported by National Natural Science Foundation of China (21922410, 22072133, 22275159, X.K.); Zhejiang Provincial Natural Science Foundation (LR19B050001, X.K.); Leading Innovation and Entrepreneurship Team of Zhejiang Province (2020R01003, X.K.); CEA ECC program (Programme Economie Circulaire du Carbone-Projet HyperCool NMR, G.D.P.), the French National Research Agency (CBH-EUR-GS and ARCANE ANR-17-EURE-0003, G.D.P.), the “Investissements d’avenir” program (ANR-15-IDEX-02, CDP-DefiCO2, G.D.P.) and the European Research Council Grant ERC-CoG-2015 (No. 682895, G.D.P.). US Department of Energy (DoE), Office of Science, Office of Basic Energy Sciences under award number (DE-SC0019992, J.R.L. and J.A.R.).
Author information
Authors and Affiliations
Contributions
Conceptualization: Y.F., X.K., J.A.R., A.F., and G.D.P.; Sample preparations: Y.F.; Characterizations and solid-state NMR: Y.F.; Computational methods: Y.Y. and K.M.; Data analysis and writing: Y.F., X.K., J.A.R., A.F., G.D.P., J.R.L., Y.Y., K.M., and J.L.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Nature Communications thanks Youssef Belmabkhout and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Source data
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Fu, Y., Yao, Y., Forse, A.C. et al. Solvent-derived defects suppress adsorption in MOF-74. Nat Commun 14, 2386 (2023). https://doi.org/10.1038/s41467-023-38155-8
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41467-023-38155-8
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.