Abstract
Metal-organic frameworks (MOFs) with different functional groups have wide applications, while the understanding of functionalization influences remains insufficient. Previous researches focused on the static changes in electronic structure or chemical environment, while it is unclear in the aspect of dynamic influence, especially in the direct imaging of dynamic changes after functionalization. Here we use integrated differential phase contrast scanning transmission electron microscopy (iDPC-STEM) to directly ‘see’ the rotation properties of benzene rings in the linkers of UiO-66, and observe the high correlation between local rigidity and the functional groups on the organic linkers. The rigidity is then correlated to the macroscopic properties of CO2 uptake, indicating that functionalization can change the capability through not only static electronic effects, but also dynamic rotation properties. To the best of our knowledge this is the first example of a technique to directly image the rotation properties of linkers in MOFs, which provides an approach to study the local flexibility and paves the way for potential applications in capturing, separation and molecular machine.
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Introduction
Metal-organic frameworks (MOFs) are formulated by metal clusters and organic linkers with periodic frame structure, and have been applied in catalysis1,2, separation3,4,5,6,7 and nanodevices8,9. The functionalization of organic linkers significantly expands the variety of MOFs, and brings unique properties10,11. UiO-66 is one of the most stable MOFs12, and has applications in CO2 capture13, photocatalysis14 and sensing15. The addition of functional groups to the p-benzenedicarboxylic acid (BDC) linkers creates a large class of UiO-66-X materials with various properties16,17. For instance, amino modified UiO-66-NH2 is widely used in the synthesis of single atom catalyst (SACs), due to the strong interaction between amino groups and metals18,19,20. Other functionalized UiO-66-X can also be applied in pharmaceutical fields like drug delivery21,22.
However, the understanding of how functional groups influence the MOFs remains insufficient. Previous studies mainly focused on the static changes in electronic structure or chemical environment, while it is unclear regarding the influence on the dynamic properties, which is essential for molecular machines23 and gas separations5. Lillerud et al. 17 reported that thermal and chemical stability of UiO-66-X remains unchanged after functionalization. Walton et al. 16 attributed the different adsorption properties of UiO-66-X to the combination of polarity and small functional group size. The different catalytic performance of UiO-66-X is usually ascribed to the unique electronic properties of functional groups24,25. The influences of functionalization on the dynamic properties of UiO-66-X have been rarely studied, although such influences can also change the adsorption or catalytic properties.
The dynamic properties of MOFs are widely known as the flexibility, and has been studied for their unique breathing and swelling properties26,27. The rotation of benzene rings in BDC linkers, which is also called π-flipping, is also an important component of the flexibility of MOFs, and has been studied for gas separation5 and molecular rotors28. 2H-NMR (nuclear magnetic resonance) is one of the limited ways to understand the π-flipping process29, and has been applied in UiO-6630, MOF-531, IRMOF-232 and MIL-5333. However, the spectroscopy provides only indirect and statistical information of the MOF samples. The integrated differential phase contrast scanning transmission electron microscopy (iDPC-STEM) technology has been applied in characterization of zeolites34,35,36 and MOFs37,38,39, with the advantages of simultaneous imaging of light and heavy elements. With iDPC-STEM, researchers are able to directly ‘see’ the organic linkers bridging the metal nodes in MOFs in real space. However, the imaging of MOFs still remains challenging because they are very sensitive to the electron beams, and are unstable even under an ultra-low dose40. The identification of metal nodes is relatively easy39, while the atomic imaging of organic linkers is particularly difficult. Since the atomic identification of organic linkers using high-resolution transmission electron microscopy (HRTEM) in 201841, few literatures have successfully characterized the linkers in MOFs atomically42, and basically no literature has studied the dynamic properties of linkers using electron microscopy.
The benzene rings of BDC linkers in UiO-66 are considered rotatable at room temperature (RT)43,44, while the rotation properties with different functional groups have been rarely studied. In this work, we studied the π-flipping properties of UiO-66-X with different functional groups on BDC-X linkers. Through iDPC-STEM imaging, we observed that functional groups are highly related to the local rigidity of BDC linkers, and might further influence the macroscopic properties. With suitable functional groups, some UiO-66-X samples show local rigidity that the benzene rings of BDC-X linkers show basically identical orientations, which, to the best of our knowledge, has not been reported.
Results
Synthesis and structure characterization of UiO-66-X
UiO-66 are formed by Zr nodes and BDC linkers, with tetrahedron and octahedron pores (Fig. 1a). Viewed from the direction of [110], UiO-66 will be projected into a rhombus tessellated pattern. The four vertices of a cell are all Zr nodes, and the four edges are BDC linkers with a degree of 30°. The short diagonal is another column of BDC linkers, with their benzene rings parallel to the [110] projections. The short diagonal passing through two carboxyl C and parallel to the (110) facet is denoted as the short axis (green arrow in Fig. 1a), while the long diagonal perpendicular to the benzene rings of the BDC linkers is denoted as the long axis (blue arrow in Fig. 1a). If the benzene rings of BDC linkers do not rotate around the C2 axis (Supplementary Fig. 1), the intensity profile along the long axis will contain one narrow peak in the middle, which corresponds to the benzene rings degenerating into a line along the short axis. However, if the benzene ring flips with a degree, the narrow line will be blurred and broadened to a larger bright spot.
a Schematic model of UiO-66. The views from [110] and [001] projections are shown below. The long and short axes from the [110] projection are marked by blue and green arrows, respectively. The grey, red and white atoms represent C, O and H elements, respectively. b XRD patterns of UiO-66-X and simulated results of UiO-66-H. Source data are provided as a Source Data file.
When changing the linkers to other BDC-X linkers with different functional groups, we can obtain UiO-66-X samples, which have similar structure to traditional UiO-66. To be consistent, we denote UiO-66 without any functional group as UiO-66-H, so as the BDC-H linkers. Through scanning electron microscopy (SEM), we found that the addition of functional groups rarely changes the morphology that all UiO-66-X samples appear as regular octahedrons (Supplementary Fig. 2). X-ray powder diffraction (XRD) results also confirm that the UiO-66-X samples have the same crystal structure with fm-3m symmetry (Fig. 1b), indicating that the functional groups of BDC-X linkers rarely influence the crystal structure. High angle annular dark-field scanning transmission electron microscopy (HAADF-STEM) images show smooth diamond-like structure from [110] projection (Supplementary Fig. 3), which are typical images of UiO-66 samples. Through these characterizations, we confirm that UiO-66-X samples are synthesized with similar structure, and the only difference is the functional groups.
The energy dispersive X-ray spectroscopy (EDS) is applied to confirm the existence of functional groups. The UiO-66-H samples show only Zr, C and O signals (Supplementary Fig. 4), while N, Cl, Br signals are obviously detected in UiO-66-NH2, UiO-66-Cl and UiO-66-Br, respectively (Figs. 2a, d and Supplementary Figs. 5, 6). The composition of newly introduced elements is also consistent with the theoretical model, where all linkers were replaced by functionalized BDC-X linkers (Supplementary Table 1).
HAADF-STEM images and corresponding EDS mapping of UiO-66-NH2 (a) and UiO-66-Br (d). iDPC-STEM images of UiO-66-NH2 (b) and UiO-66-Br (e) from [110] orientation. The FFT pattern is shown as inset. Magnified iDPC-STEM images and simulated results of UiO-66-NH2 (c) and UiO-66-Br (f). The intensity profile along the long axis and the model of BDC-NH2 rotation are shown below. The dark lines in the intensity profile are experimental results, while the light lines are the simulated results. The scale bar is 1 nm. The grey, red, white, blue and brown atoms represent C, O, H, N and Br elements, respectively. Source data are provided as a Source Data file.
The direct imaging of rotation properties of BDC-X linkers
Considering that HAADF-STEM images can hardly reflect the structure of organic linkers in UiO-66-X due to the e-beam damage, we applied the iDPC-STEM technology to image the BDC-X linkers for better understanding of the microscopic influence of functionalization. Taking UiO-66-NH2 and UiO-66-Br as examples, we can simultaneous image the Zr nodes and BDC-X linkers from the [110] projection (Fig. 2b, e), where FFT patterns confirm the high resolution. The iDPC-STEM images are consistent with the schematic model that diamond-like cells are observed. For the UiO-66-NH2 samples, the BDC-NH2 linkers along the short axis are recognizable as four separate bright spots (Fig. 2c). These spots can be identified as two carboxyl groups and the upper and lower parts of benzene ring. The intensity profile along the long axis shows a peak with a full width at half maximum (FWHM) of 2.01 Å. The width of this peak represents the ‘width’ of the projection of BDC-NH2 linkers in the (110) plane, which can be further correlated to the dynamic properties of UiO-66-X. For UiO-66-Br, however, the signals of BDC-Br are blurred from a narrow line to a larger bright spot (Fig. 2f). The asymmetric peak shape indicates that the functional groups of -Br may be biased in one direction. Moreover, the FWHM along the long axis increased to 4.02 Å. The broadening effect is attributed to the π-flipping of benzene rings in the BDC-Br linkers. Contrary to BDC-NH2, the benzene rings of the BDC-Br linkers are nearly parallel to the (110) plane, leading to a large bright spot in the middle of both long and short axes. To the best of our knowledge this is the first example of a technique to directly see the uniform and disordered orientations of benzene rings in UiO-66-NH2 and UiO-66-Br, respectively, and the dramatic effect of functionalization on the dynamic properties is unexpected.
In addition to UiO-66-NH2 and UiO-66-Br, we also use the iDPC-STEM technology to characterize the UiO-66-X (X = H, CH3, OH, F, Cl) samples (Supplementary Fig. 7). The peak at the center of long axes shows varying degrees of broadening with different functional groups on the BDC-X linkers, and then indicates different dynamic properties of UiO-66-X (Fig. 3a–e). This broadening is ascribed to the different rotation properties of benzene rings, and the values of FWHM can be used as a quantitative description of the degree of benzene rotation. We summarized the intensity profiles of more than 20 areas, and calculated the average FWHM for different UiO-66-X samples (Fig. 3f, Supplementary Fig. 8). The experimental value is consistent with the simulated value, where a three-layered model is applied for simulation using the ToTEM software45 (Supplementary Fig. 9). The rotation degrees of benzene ring for simulation are determined using 0.18 eV as the average rotation energy at RT, which will be discussed later. Through iDPC-STEM imaging, we can directly ‘see’ the different π-flipping properties of UiO-66-X. The rigidity of BDC-X linkers in UiO-66-X follows the trend of -OH > -NH2 > -H > -CH3 ~ -F > -Cl > -Br. This trend agrees well with the previously reported results of UiO-66-(OH)2 > UiO-66-H > UiO-66-(CH3)2 obtained from 2H-NMR30.
iDPC-STEM images, simulated results and intensity profile along the long axis of UiO-66-H (a), UiO-66-CH3 (b), UiO-66-OH (c), UiO-66-F (d) and UiO-66-Cl (e). The dark lines in the intensity profile are experimental results, while the light lines are the simulated results. The scale bar is 1 nm. f Summarized experimental and simulated FWHM of benzene rings along the long axis in UiO-66-X. The experimental FWHM is the averaged value obtained from more than 20 cells, and the error bar is the standard deviation. Source data are provided as a Source Data file.
Theoretical explanations of different dynamic properties of UiO-66-X
With the density functional theory (DFT), we calculated the rotation energies of BDC-X linkers and investigated the causes of different dynamic properties. The original model is built as a primitive cell of UiO-66-X, with the benzene ring perpendicular to the (110) plane. The total energy of this model is calculated as the energy reference. The benzene ring of the selected BDC-X linker is rotated with a certain degree around the C2 axis, and the corresponding energy is calculated without ionic steps (Fig. 4a). The highest energy is always obtained when the benzene ring rotates by 90°, indicating that the state with benzene ring parallel to the (110) plane is the most unstable (Fig. 4c). This is obvious because two carboxyl groups and the benzene ring share a large π plane, which is destroyed by rotation and 90° of π-flipping represents the least conjugation. The calculated activation energy of π-flipping in UiO-66-H is 0.49 eV (47.4 kJ/mol), which is consistent with the experimental results in MOF-5 (47.3 kJ/mol)31.
a Schematic model of benzene rotation in UiO-66-OH. b Schematic model of two types of UiO-66-OH, with different hydrogen direction in the hydroxyl group of BDC-OH linkers. c The calculated rotation energy of UiO-66-X against the rotation degree of benzene ring. The grey, red and white atoms represent C, O and H elements, respectively. Source data are provided as a Source Data file.
However, different functional groups show different influence on the π-flipping properties. The rotation energy at 90° can symbolize the difficulty of benzene rotation, where a higher energy represents more difficult π-flipping and more rigidity. Amino and hydroxyl groups show a stabilizing effect on the BDC-X linkers, while the other functional groups all enhance the flexibility (Fig. 4c). This is attributed to the intramolecular hydrogen bond of BDC-NH2 and BDC-OH (Supplementary Fig. 10). The distance between hydroxyl H and carboxyl O in BDC-OH is 1.64 Å, and the bond length between amino H and carboxyl O in BDC-NH2 is 1.88 Å (Supplementary Table 2). On the contrary, the distance between methyl H and carboxyl O in BDC-CH3 is much longer (2.37 Å), indicating the existence of hydrogen bonds in UiO-66-OH and UiO-66-NH2, but not in UiO-66-CH3. The density of states (DOS) and crystal orbital Hamilton population (COHP) results also verified the existence of hydrogen bonds (Supplementary Fig. 11). The positive value of –COHP represents the bonding effect, while the negative value of –COHP represents the antibonding effect46. The integrated value (–ICOHP) at the Fermi level represents the overall bonding condition. This value follows the trend of -OH…OOC > -NH2…OOC > -CH3…OOC, indicating that the strength of intramolecular hydrogen bond follows the same trend. This explains why UiO-66-OH is the most rigid sample, where the benzene can hardly rotate at RT. We build a virtual model of UiO-66-OH-Rev by changing the orientation of hydroxyl H in BDC-OH (Fig. 4b). The intramolecular hydrogen bond will be destroyed, and the rotation energy at 90° significantly decreases from 0.89 eV in UiO-66-OH to 0.29 eV in UiO-66-OH-Rev, indicating a higher flexibility (Fig. 4c).
Therefore, the addition of functional groups, either electron donating (e.g. -CH3) or electron withdrawing (e.g. -F, -Br), will destabilize the BDC-X linkers, due to the breaking of the symmetry of the conjugated structure. The benzene rings in BDC-X linkers will be more rotatable, and UiO-66-X samples show more flexibility. However, -NH2 and -OH groups are the exceptions, because they form intramolecular hydrogen bonds, which overcomes the destabilizing effects of functionalization and even inhibits the π-flipping. Thus, the UiO-66-NH2 and UiO-66-OH samples show local rigidity at RT, and the BDC-X linkers become more identifiable under electron beam in iDPC-STEM images.
Resolving the benzene rotation in UiO-66-X
The calculated rotation energy at 90° is also consistent with the FWHM obtained from iDPC-STEM. Higher rotation energy corresponds to smaller FWHM, indicating a more rigid BDC-X linker (Fig. 5a). We can also fit the experimental data using \({{{{{\rm{FWHM}}}}}}=\frac{d}{2}{{\sin }}\left(\frac{{E}_{0}}{{E}_{R}}\times \frac{\pi }{2}\right)+\frac{{d}_{{{{{{\rm{atom}}}}}}}}{2}\), where d represents the width of BDC-X linkers and \({E}_{R}\) represents the rotation energy at 90°. If the rotation degree of benzene ring (θ) is 0, the BDC-X linker along the short axis is parallel to the electron beam from [110] projection (Fig. 1a), as discussed at the beginning. The BDC-X linker is then projected to a line, but still with a width. We assume this broaden effect as a constant of \({d}_{{{{{{\rm{atom}}}}}}}\). If the benzene ring rotates with a degree of θ, the width of BDC-X linkers is projected to \(d{{\sin }}\theta\). Then the projected bright spot of benzene ring should have a diameter of \(d{{\sin }}\theta+{d}_{{{{{{\rm{atom}}}}}}}\). The intensity profile along the long axis should contain a peak in the middle, with FWHM equals to \(\frac{d}{2}{{\sin }}\theta+\frac{{d}_{{{{{{\rm{atom}}}}}}}}{2}\) (Fig. 5b). We assume that the rotation of benzene ring originates from thermal motion, and the energy \({E}_{0}\) is basically constant at RT. The average rotation degree can be written as \(\theta=\frac{\pi }{2}\frac{{E}_{0}}{{E}_{R}}\), where we further assume that the rotation energy is basically proportional to the rotation degree.
a Fitted FWHM against rotation energies. The fitted data are measured with UiO-66-X (X ≠ H), and the correlation is \({{{{{\rm{FWHM}}}}}}/{{{{{\text{\AA }}}}}}=1.89\times {{\sin }}\left(\frac{0.18\,{{{{{\rm{eV}}}}}}}{{E}_{{{{{{\rm{Rotate}}}}}}}}\times \frac{\pi }{2}\right)+1.82\). The corresponding R2 is 0.96. The values of FWHM and \({E}_{{{{{{\rm{Rotate}}}}}}}\) are obtained from iDPC-STEM images and DFT calculations, while other parameters of d, \({E}_{0}\) and \({d}_{{{{{{\rm{atom}}}}}}}\) are fitted. b Schematic model of the imaging of BDC-X linkers. c Correlation between CO2 uptake and the rigidity of UiO-66-X. The values of CO2 uptake are from Ref. 13 and the adsorption conditions are 1 bar and 0 oC. Source data are provided as a Source Data file.
Therefore, we can fit the relationship between FWHM obtained from iDPC-STEM experiments against the rotation energy at 90° calculated using DFT (Fig. 5a). The fitting parameters are d, \({E}_{0}\) and \({d}_{{{{{{\rm{atom}}}}}}}\) (Supplementary Table 3). The fitted \({E}_{0}\) equals to 0.18 eV (~17 kJ/mol), which is a reasonable value of thermal motion energy at RT. For BDC-X (X ≠ H) linkers, the width is basically the same ranging from 3.59 to 4.08 Å, with an average value of 3.76 Å. The fitted value of d is 3.78 Å, which is very close to the theoretical value. The consistency of experiments and calculations further confirm the reliability of our work.
Using the fitted parameter of \({E}_{0}\), we can calculate the average rotation degree of benzene rings in UiO-66-X (Supplementary Table 4). The simulated images of iDPC-STEM are then modeled using these rotation degrees. The simulated FWHM is consistent with the experimental data, indicating that the broaden of iDPC-STEM signals originates from the rotation of benzene rings (Fig. 3f).
Correlating the local rigidity with the CO2 capture
The replacement of functional groups in UiO-66-X can strongly affect the rotation properties and then local rigidity of these samples. The different macroscopic properties of the UiO-66-X samples with various functional groups are usually attributed to the static electronic effects24,25, previously. However, the different dynamic properties can also significantly influence the macroscopic properties47,48, the study of which is still very insufficient. Inspired by the fact that CO2 adsorption can promote the flexibility of MOFs49, here we briefly discuss the potential impacts of UiO-66-X on CO2 capture, whose capability is highly related to their local rigidity.
Using the CO2 uptake data from ref. 13, we can plot the relationship between CO2 capture capability and the rotation properties of UiO-66-X (Fig. 5c). The difference in dynamic properties leads to different CO2 capture performance, but their relationship has rarely been studied. Rigidity is considered beneficial to efficient collection of guest molecules, due to the larger number of identical porous units48. Our results agree with this view, and the most rigid UiO-66-OH sample has the highest CO2 uptake amount. Although CO2 is considered as acidic and has a quadrupole moment, the most basic UiO-66-NH2 or the most polarizable UiO-66-Br did not show the highest CO2 adsorption50 (Supplementary Fig. 12). Instead, the more rigid of the UiO-66-X sample is, the more CO2 it can adsorb generally. The CO2 adsorption data from other researchers51 are also consistent with this trend, although the absolute value of adsorption capacity is different (Supplementary Fig. 13). These results indicate that functionalization can influence the macroscopic properties, not only by tuning the electronic structure, but also by changing the dynamic properties. Moreover, when doping BDC-NH2 to UiO-66-H, a higher fraction of BDC-NH2 linkers leads to larger CO2 uptake52, which is also consistent with the trend that higher rigidity tend to benefit the adsorption of guest molecules. However, further investigation is required to better understand the mechanism of how local rigidity influences the CO2 capture, and in situ inelastic- and quasi-elastic neutron scattering is one of the most accurate techniques53.
In conclusion, we studied the dynamic influence of functional groups on UiO-66-X samples. Using iDPC-STEM technology, we are able to directly ‘see’ the rotation properties of benzene rings in BDC-X linkers, and the rigidity against π-flipping is highly related to the functional groups. To the best of our knowledge this is the first use of electron microscopy to image the rotation properties of organic linkers in MOFs, which is an important complement to the spectral method and provides an approach to understand the local flexibility of MOFs from a more direct perspective. Among the UiO-66-X samples, UiO-66-OH sample shows the highest local rigidity, which is attributed to the strong intramolecular hydrogen bond. The benzene rings in UiO-66-OH and UiO-66-NH2 showed basically the same orientation at RT, which has not been reported. Moreover, the difference in the dynamic properties would be responsible for the different macroscopic properties, and we observe a positive relationship between CO2 uptake and local rigidity of UiO-66-X. These results of various rotation properties of UiO-66-X pave the way for their potential applications in capturing of small molecules, separation of organic compounds and molecular machines.
Methods
Synthesis of UiO-66-X
The UiO-66-X with different functional groups are synthesized using basically the same solvothermal procedures, which is similar to the previously reported methods20,54. Typically, 0.135 mmol of BDC-X and equimolar ZrCl4 are dissolved in 30 mL DMF containing 3.6 mL of HAc. The mixture is treated by ultrasound for 1 h, and then transferred to a 50 mL autoclave. The mixture is heated to 120 °C for 24 h. After cooling to RT, the products are collected through centrifugation after washing by methanol and DMF (1/4 v/v) for three times. The UiO-66-X samples are then dried under vacuum at 80 °C, and stored for later characterizations.
The iDPC-STEM imaging
The iDPC-STEM images are taken on an FEI Titan Cubed Themis G2 300 microscope at 300 kV. The aberration is corrected using the following coefficients: C1 = −2.57 nm; A1 = 4.58 nm; A2 = 26.5 nm; B2 = 8.35 nm; C3 = 43.4 nm; A3 = 317 nm; S3 = 23.7 nm; A4 = 1.00 μm, D4 = 6.54 μm, B4 = 4.66 μm, C5 = 201 μm, A5 = 227 μm, S5 = 19.4 μm, and R5 = 51.0 μm. The convergence semi-angle is 15 mrad, and the collection angle is 4-22 mrad. The pixel size is 0.5027×0.5027 Å2. The obtained images are applied with Radial Wiener filter to denoise and smooth.
iDPC-STEM simulation
The image simulations are conducted using ToTEM software based on the multi-slice method45. Considering that we select the thin area of UiO-66-X for imaging, the simulation is modeled using three layers of cells. The average rotation degree θ is calculated using 0.18 eV as the thermal motion energy. The BDC-X linkers in three layers are rotated by θ, 0° and −θ respectively. The parameters for the image simulations are the same as those in the experiments.
Other characterizations
The XRD patterns of UiO-66-X are collected by a Bruker D8 Advance powder X-ray diffractometer equipped with a Cu Kα radiation source in the 2θ range of 5–90° at a ramping rate of 2°/min. The simulated patterns of UiO-66-H are obtained using the model from ref. 55. The SEM images are obtained on JSM 7401 microscope with an electron emission voltage of 3 kV. The HAADF-STEM images and corresponding EDS elementary mapping are collected on FEI Titan Cubed Themis G2 300 microscope.
DFT calculations
The DFT calculations are performed using Vienna ab initio simulation package (VASP)56, with the Perdew-Burke-Ernzerhof (PBE) function57. The cutoff energy is set at 400 eV and the k-point grid is set at 1 × 1 × 1 for structure optimization. The UiO-66-H is modeled based on the previous reports55, and has been relaxed before further calculations. Other UiO-66-X models are built by replacing all the linkers from BDC-H to BDC-X. One primitive cell contains 6 Zr atoms and 6 BDC-X linkers. The rotation energy is calculated by rotating one of these 6 BDC-X linkers without moving any other atoms. The DOS is calculated using 2001 points. COHP analysis46,58 is conducted using LOBSTER to better understand the bonding effects between H in functional groups and O in carboxyl groups. The calculated energy range is between −10 and 6 eV. A positive value of –COHP represents the bonding effect, while a negative value represents antibonding.
Data availability
The authors declare that all relevant data supporting the findings of this study are available within the paper and its Supplementary Information files. Additional data are available from the corresponding authors upon request. Source data are provided with this paper.
References
Jagadeesh, R. V. et al. MOF-derived cobalt nanoparticles catalyze a general synthesis of amines. Science 358, 326–332 (2017).
Wang, Q. & Astruc, D. State of the Art and Prospects in Metal-Organic Framework (MOF)-Based and MOF-Derived Nanocatalysis. Chem. Rev. 120, 1438–1511 (2020).
Chen, Z. et al. Balancing volumetric and gravimetric uptake in highly porous materials for clean energy. Science 368, 297–303 (2020).
Lin, J. B. et al. A scalable metal-organic framework as a durable physisorbent for carbon dioxide capture. Science 374, 1464–1469 (2021).
Qian, Q. et al. MOF-Based Membranes for Gas Separations. Chem. Rev. 120, 8161–8266 (2020).
Zhou, S. et al. Asymmetric pore windows in MOF membranes for natural gas valorization. Nature 606, 706–712 (2022).
Datta, S. J. et al. Rational design of mixed-matrix metal-organic framework membranes for molecular separations. Science 376, 1080–1087 (2022).
Bi, S. et al. Molecular understanding of charge storage and charging dynamics in supercapacitors with MOF electrodes and ionic liquid electrolytes. Nat. Mater. 19, 552–558 (2020).
Wang, M. et al. Phthalocyanine‐Based 2D Conjugated Metal‐Organic Framework Nanosheets for High‐Performance Micro‐Supercapacitors. Adv. Funct. Mater. 30, 2002664 (2020).
Xiang, Z., Leng, S. & Cao, D. Functional group modification of metal-organic frameworks for CO 2 capture. J. Phys. Chem. C. 116, 10573–10579 (2012).
Klontzas, E., Mavrandonakis, A., Tylianakis, E. & Froudakis, G. E. Improving hydrogen storage capacity of MOF by functionalization of the organic linker with lithium atoms. Nano Lett. 8, 1572–1576 (2008).
Cavka, J. H. et al. A new zirconium inorganic building brick forming metal organic frameworks with exceptional stability. J. Am. Chem. Soc. 130, 13850–13851 (2008).
Biswas, S. & Van Der Voort, P. A general strategy for the synthesis of functionalised UiO-66 frameworks: Characterisation, stability and CO2 adsorption properties. Eur. J. Inorg. Chem. 2154–2160 https://doi.org/10.1002/ejic.201201228 (2013).
Chen, X. et al. NH2-UiO-66(Zr) with fast electron transfer routes for breaking down nitric oxide via photocatalysis. Appl. Catal. B Environ. 267, 118687 (2020).
Zhai, Z. et al. Washable and flexible gas sensor based on UiO-66-NH2 nanofibers membrane for highly detecting SO2. Chem. Eng. J. 428, 131720 (2022).
Cmarik, G. E., Kim, M., Cohen, S. M. & Walton, K. S. Tuning the adsorption properties of uio-66 via ligand functionalization. Langmuir 28, 15606–15613 (2012).
Kandiah, M. et al. Synthesis and stability of tagged UiO-66 Zr-MOFs. Chem. Mater. 22, 6632–6640 (2010).
Wang, X. et al. Uncoordinated Amine Groups of Metal–Organic Frameworks to Anchor Single Ru Sites as Chemoselective Catalysts toward the Hydrogenation of Quinoline. J. Am. Chem. Soc. 139, 9419–9422 (2017).
Sui, J. et al. A General Strategy to Immobilize Single-Atom Catalysts in Metal–Organic Frameworks for Enhanced Photocatalysis. Adv. Mater. 34, 1–8 (2022).
Zhao, Y. et al. Two-step carbothermal welding to access atomically dispersed pd1 on three-dimensional zirconia nanonet for direct indole synthesis. J. Am. Chem. Soc. 141, 10590–10594 (2019).
Ahmadi, S. et al. Mission impossible for cellular internalization: When porphyrin alliance with UiO-66-NH2 MOF gives the cell lines a ride. J. Hazard. Mater. 436, 129259 (2022).
Abánades Lázaro, I. et al. Selective Surface PEGylation of UiO-66 Nanoparticles for Enhanced Stability, Cell Uptake, and pH-Responsive Drug Delivery. Chem 2, 561–578 (2017).
Feng, L., Astumian, R. D. & Stoddart, J. F. Controlling dynamics in extended molecular frameworks. Nat. Rev. Chem. 6, 705–725 (2022).
Shen, L., Liang, R., Luo, M., Jing, F. & Wu, L. Electronic effects of ligand substitution on metal-organic framework photocatalysts: The case study of UiO-66. Phys. Chem. Chem. Phys. 17, 117–121 (2015).
Wang, F. F., Wang, Q., Chen, X., De-Li, C. & Zhu, W. Theoretical investigations on the effect of the functional group of Pd@UIO-66 for formic acid dehydrogenation. J. Phys. Chem. C. 124, 23738–23744 (2020).
Devic, T. et al. Functionalization in flexible porous solids: effects on the pore opening and the host-guest interactions. J. Am. Chem. Soc. 132, 1127–1136 (2010).
Hanikel, N. et al. Evolution of water structures in metal-organic frameworks for improved atmospheric water harvesting. Science 374, 454–459 (2021).
Perego, J. et al. Fast motion of molecular rotors in metal–organic framework struts at very low temperatures. Nat. Chem. 12, 845–851 (2020).
Gonzalez-Nelson, A., Coudert, F. & van der Veen, M. Rotational Dynamics of Linkers in Metal–Organic Frameworks. Nanomaterials 9, 330 (2019).
Damron, J. T. et al. The Influence of Chemical Modification on Linker Rotational Dynamics in Metal–Organic Frameworks. Angew. Chem. Int. Ed. 57, 8678–8681 (2018).
Gould, S. L., Tranchemontagne, D., Yaghi, O. M. & Garcia-Garibay, M. A. Amphidynamic Character of Crystalline MOF-5: Rotational Dynamics of Terephthalate Phenylenes in a Free-Volume, Sterically Unhindered Environment. J. Am. Chem. Soc. 130, 3246–3247 (2008).
Horike, S. et al. Dynamic motion of building blocks in porous coordination polymers. Angew. Chem. Int. Ed. 45, 7226–7230 (2006).
Kolokolov, D. I. et al. Dynamics of Benzene Rings in MIL-53(Cr) and MIL-47(V) Frameworks Studied by 2H NMR Spectroscopy. Angew. Chem. Int. Ed. 49, 4791–4794 (2010).
Shen, B. et al. Atomic imaging of zeolite-confined single molecules by electron microscopy. Nature 607, 703–707 (2022).
Xiong, H. et al. In situ imaging of the sorption-induced subcell topological flexibility of a rigid zeolite framework. Science 376, 491–496 (2022).
Liu, L. et al. Direct Imaging of Atomically Dispersed Molybdenum that Enables Location of Aluminum in the Framework of Zeolite ZSM-5. Angew. Chem. Int. Ed. 59, 819–825 (2020).
Li, X. et al. Direct Imaging of Tunable Crystal Surface Structures of MOF MIL-101 Using High-Resolution Electron Microscopy. J. Am. Chem. Soc. 141, 12021–12028 (2019).
Shen, B., Chen, X., Shen, K., Xiong, H. & Wei, F. Imaging the node-linker coordination in the bulk and local structures of metal-organic frameworks. Nat. Commun. 11, 1–8 (2020).
Feng, X. et al. Creation of Exclusive Artificial Cluster Defects by Selective Metal Removal in the (Zn, Zr) Mixed-Metal UiO-66. J. Am. Chem. Soc. 143, 21511–21518 (2021).
Lv, J., Zhang, H., Zhang, D., Liu, L. & Han, Y. Low-Dose Electron Microscopy Imaging of Electron Beam-Sensitive Crystalline Materials. Acc. Mater. Res. 3, 552–564 (2022).
Zhang, D. et al. Atomic-resolution transmission electron microscopy of electron beam–sensitive crystalline materials. Science 359, 675–679 (2018).
Sun, D. et al. Direct Visualization of Atomic Structure in Multivariate MOFs for Guiding Electrocatalysts Design. Angew. Chemie Int. Ed. https://doi.org/10.1002/anie.202216008 (2022).
Friebe, S., Mundstock, A., Volgmann, K. & Caro, J. On the Better Understanding of the Surprisingly High Performance of Metal−Organic Framework-Based Mixed-Matrix Membranes Using the Example of UiO-66 and Matrimid. ACS Appl. Mater. Interfaces 9, 41553–41558 (2017).
Kolokolov, D. I. et al. Probing the dynamics of the porous Zr terephthalate UiO-66 framework using 2H NMR and neutron scattering. J. Phys. Chem. C. 116, 12131–12136 (2012).
Yuan, P. J. et al. ToTEM: A software for fast TEM image simulation. J. Microsc. 1–12 https://doi.org/10.1111/jmi.13127 (2022).
Dronskowski, R. & Blöchl, P. E. Crystal orbital hamilton populations (COHP). Energy-resolved visualization of chemical bonding in solids based on density-functional calculations. J. Phys. Chem. 97, 8617–8624 (1993).
Trenholme, W. J. F. et al. Selective Gas Uptake and Rotational Dynamics in a (3,24)-Connected Metal-Organic Framework Material. J. Am. Chem. Soc. 143, 3348–3358 (2021).
Horike, S., Shimomura, S. & Kitagawa, S. Soft porous crystals. Nat. Chem. 1, 695–704 (2009).
Coronado, E., Giménez-Marqués, M., Mínguez Espallargas, G., Rey, F. & Vitórica-Yrezábal, I. J. Spin-Crossover Modification through Selective CO 2 Sorption. J. Am. Chem. Soc. 135, 15986–15989 (2013).
Schwerdtfeger, P. & Nagle, J. K. 2018 Table of static dipole polarizabilities of the neutral elements in the periodic table. Mol. Phys. 117, 1200–1225 (2019).
Huang, Y., Qin, W., Li, Z. & Li, Y. Enhanced stability and CO 2 affinity of a UiO-66 type metal-organic framework decorated with dimethyl groups. Dalt. Trans. 41, 9283–9285 (2012).
Ethiraj, J. et al. Carbon dioxide adsorption in amine-functionalized mixed-ligand metal-organic frameworks of UiO-66 topology. ChemSusChem 7, 3382–3388 (2014).
Giménez-Marqués, M. et al. Gas confinement in compartmentalized coordination polymers for highly selective sorption. Chem. Sci. 8, 3109–3120 (2017).
Zhang, W. et al. A family of metal-organic frameworks exhibiting size-selective catalysis with encapsulated noble-metal nanoparticles. Adv. Mater. 26, 4056–4060 (2014).
Valenzano, L. et al. Disclosing the complex structure of UiO-66 metal organic framework: A synergic combination of experiment and theory. Chem. Mater. 23, 1700–1718 (2011).
Kresse, G. & Furthmüller, J. Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set. Phys. Rev. B 54, 11169–11186 (1996).
Perdew, J. P., Burke, K. & Ernzerhof, M. Generalized gradient approximation made simple. Phys. Rev. Lett. 77, 3865–3868 (1996).
Maintz, S., Deringer, V. L., Tchougréeff, A. L. & Dronskowski, R. LOBSTER: A tool to extract chemical bonding from plane-wave based DFT. J. Comput. Chem. 37, 1030–1035 (2016).
Acknowledgements
We thank Fang Lin and Yuming Ge from South China Agricultural University for their assistance in TEM simulation with ToTEM software. This work is also supported by Tsinghua National Laboratory for Information Science and Technology. Financial support from the National Natural Science Foundation of China (No. 22178195 T.W., 22005170 X.C., 22275110 X.C.) are gratefully appreciated.
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Conceptualization: B.L., X.C., T.W. Methodology: B.L., X.C., N.H., S.L. Investigation: B.L., X.C. Visualization: B.L., X.C. Supervision: X.C., F.W., T.W. Writing—original draft: B.L. Writing—review and editing: B.L., X.C., N.H., S.L., Y.W., X.L., F.W., T.W.
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Liu, B., Chen, X., Huang, N. et al. Imaging the dynamic influence of functional groups on metal-organic frameworks. Nat Commun 14, 4835 (2023). https://doi.org/10.1038/s41467-023-40590-6
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DOI: https://doi.org/10.1038/s41467-023-40590-6