Abstract
The Hammett equation is commonly used to theoretically depict the remote electronic effects of substituents on catalytic activities of metal nodes of metal-organic frameworks (MOFs). However, the application of the theory to MOF catalysts usually encounters problems because it relies heavily on empirical parameters with unknown transferability. To develop an alternative prediction theory, the linker orbital energy model has been proposed by density functional theory calculations. The model provides a simple method to approximately depict the remote electronic substituent effects on catalytic activities of metal nodes of MOFs, and its general applicability to MOFs is supported by extensively revisiting the structure-activity relationships reported in the literatures. The model can be used to design catalytic activity of metal nodes of MOFs by engineering the electronic properties of linkers and substituents.
Similar content being viewed by others
Introduction
The coordination interaction of metal atoms with aryl ligands constitutes a wide variety of catalysts in the world, which range from heme enzymes1 to various organic-inorganic hybrid catalytic materials2,3,4,5. The knowledge how aryl ligands regulate the catalytic activities of metal atoms linked to them is thus of great importance to both fundamental chemistry and catalytic applications of such metal-aryl hybrids, which, however, is still an elusive question6.
The insufficient knowledge of how aryl ligands alter the catalytic activities of metal atoms is recently particularly reflected in the study of the catalytic functions of metal-organic frameworks (MOFs). MOFs refer to a family of porous crystalline materials formed by interconnecting metal nodes and organic linkers (Fig. 1a)7,8,9. Their potentials as engineered catalytic materials have recently attracted much interest10,11,12,13,14,15. Ideally, the metal nodes can serve as the active sites to catalyze chemical reactions if they contain coordinatively unsaturated metals and the linker substituents as the control factors to further fine-tune the catalytic activities of the metal nodes16. However, the practical implementation of this idea usually encounters unpredictable outcomes when attempting to tune the activities by varying linker substituents, because of the lack of a simple guiding theory for the effects of linker substituents on the catalytic activities.
So far, Hammett substituent constant (σ)17,18 and its extensions19,20,21 are the commonly-used methods to quantitatively describe the electronic effects of linker substituents on catalytic activities of metal nodes of MOFs. As early as 1937, Hammett18 revealed the following linear relationship between the rate constant of the dissociation of benzoic acid (k0) and those of the dissociations of its substituted derivatives (k):
In Eq. (1), σ is the substituent constant depending on the nature of substituent; ρ is the constant depending on reaction environment and mechanism. Because the σ constants correlate closely with the well-known concepts—electron-donating and withdrawing abilities of the substituents, they been widely applied to quantitatively depict the relationships between the structures and reactivities of substituted organic compounds22,23,24,25,26,27,28,29.
Indeed, Hammett σ constants have been successfully used to depict the linker substituent effects on thermal catalytic activities of several MOFs30,31,32,33. Shown in Fig. 1b is the MOF named UiO-66-X30. They are formed by zirconium cluster Zr6(μ-O)4(μ-OH)4 and the X-substituted linker called benzene-1,4-dicarboxylic acid (BDC). They have been regarded the prototypes of MOFs to study the linker substituent effects. Vermoortele et al. have reported that the activities of UiO-66-X in catalyzing the cyclization of citronellal to isopulegol, which is denoted as Reaction 1 hereafter, exhibit a positive relationship with the σ constants of substituents X (Fig. 1c)31. Likewise, Hammett σ constants have successfully explained the substituent effects for the oxidase-mimicking catalysis of MIL-53(Fe)32 and some other Lewis acid catalysis of MIL-101(Cr)33.
However, the limitations of Hammett σ constant are also obvious. (1) Because it is obtained for substituents based on the thermodynamics of specific reactions, the transferability of the constant to other reactions is unknown. Although extensions like σ+, σ−, and σPd+ have been derived to adapt to other reactions19,20,21, the simplicity and universality of the method are reduced. (2) Because it is devised for only substituent effects, the constant is not applicable to reactions in which the linkers also vary. Also shown in Fig. 1b are UiO-67-o-X and UiO-67-m-X. Unlike UiO-66-X, these MOFs are formed by the zirconium cluster and the linker called X-substituted biphenyl-4,4′-dicarboxylic acid (BPDC). Recently, Farha et al. have reported that UiO-66-X, UiO-67-o-X, and UiO-67-m-X can all catalyze the hydrolysis of dimethyl 4-nitrophenyl phosphonate (DMNP), denoted as Reaction 2 hereafter (Fig. 1c)34,35,36. Because of the limitations, Hammett σ constant is not applicable to such MOFs with varying linkers (BDC and BPDC). It is desirable to study the mechanism of the substituent effects and develop a more general prediction model.
In this work, the full pathways for UiO-66-X MOFs to catalyze Reactions 1 and 2 will be investigated by density functional theory (DFT) calculations and using the cluster models of MOFs. The result will suggest the underlying mechanism for the substituent effects on the catalytic activities. The approximately linear relationships between the key energy barriers of the catalyses and the linker orbital energies of the MOFs will be established. Such linear relationships will suggest linker orbital energy to be the effective descriptor for the remote substituent effects on the catalytic activities. With linker orbital energy as the descriptor, the linker orbital energy model, which approximately describes the substituent effects on catalytic activities of metal nodes of MOFs, will be developed and verified. The linker orbital model does not rely on empirical parameters, and it is applicable to MOFs with varying linkers and substituents. It may serve as a more general prediction model than Hammett, which can be used to design catalytic activity of metal nodes of MOFs by engineering the electronic properties of linkers and substituents.
Results
Electronic substituent effects on the energy barriers
To study electronic substituent effects on the key catalytic energy barriers of Reactions 1 and 2, the mechanisms and kinetics of both reactions catalyzed by UiO-66-X (X = H, NH2, and NO2) were comparatively studied using DFT calculations based on Structure-A and B (Fig. 2a). The details of the calculations are given in the Method section. According to the calculations, Reaction 1 catalyzed by Structure-A (X = H, NH2, and NO2) all follow the mechanism of Fig. 3a. Namely, the transfer of H atom from the carbon to oxygen and the formation of the carbon-carbon bond proceed in a concerted manner, converting the citronellal to isopulegol (B1 → C1). The reaction energy profiles for this mechanism are shown in Fig. 3b. This mechanism is consistent with that obtained by DFT calculations using Structure-B (X = H, NH2, and NO2) by us (Supplementary Fig. 1). It is also consistent with that obtained using the similar method (X = H and NO2) by Vermoortele et al. 31. The kinetically less favorable pathways are shown in Supplementary Fig. 2. The Gibbs free energy barriers (Gb,RDS’s) of the rate determining steps (RDS) for substituents NH2, H, and NO2, are 73.1, 55.7, and 49.8 kJ mol−1, respectively. These Gb,RDS results match well with the experimentally observed increasing activity order UiO-66-NH2 < UiO-66-H < UiO-66-NO231.
As for Reaction 2, the catalyses by Structure-A (X = H, NH2, and NO2) all follow the mechanism of Fig. 3c. Because Reaction 2 experimentally occurred in a basic condition with pH = 10, both hydroxyl anion OH− and H2O were considered as the hydrolysis agents. The pathway of OH− has a lower Gb,RDS and thus is discussed here. The hydrolysis mainly consists of three steps: First, the consecutive adsorption of OH− and DMNP on the catalyst surface (A2 → B2 → C2); second, the transfer of OH adsorbate from the catalyst to the phosphorus center of DMNP to form the five-coordinated phosphorus intermediate, following by the conformational change to form the hydrolysis-ready intermediate (C2 → D2 → E2); third, the intramolecular hydrogen transfer yielding the products (E2 → F2). The corresponding free energy profiles are shown in Fig. 3d. For each of the three catalysts, C2 → D2, namely, the transfer of the OH adsorbate from MOF to the DMNP has the highest free energy barrier, corresponding to the RDS. The Gb,RDS’s for UiO-66-NH2, UiO-66-H, and UiO-66-NO2 are 20.6, 25.1, and 39.6 kJ mol−1, respectively, in good agreement with the experimentally observed decreasing activity, UiO-66-NH2 > UiO-66-H > UiO-66-NO234,35,36. The kinetically less favorable pathways are shown in Supplementary Fig. 3. Similar mechanisms have been previously reported for the hydrolysis of sarin37 and organophosphate warfare agents11,38.
The above results suggest that Reactions 1 and 2 catalyzed by the UiO-66-X MOFs have an opposite linker-substituent effects on the catalytic activities, which agree well the structure-activity relationships of both reactions experimentally reported before31,34. The consistency between the computed Gb,RDS and experimental activity orders confirms that the cluster models of UiO-66-X used in this work is suitable for studying the electronic substituent effects.
Mechanism of the electronic substituent effects
To study the underlying mechanism for the opposite electronic substituent effects, charge population analysis was performed for structures involved in the RDSs for both reactions. To be different from RDS, structural conversion from the previously neighboring intermediate to the rate-determining transition state (RDTS) in the reaction path is denoted as the rate-determining process (RDP) hereafter. Furthermore, the total number of charge located on the catalyst region, which includes the metal node and organic linkers, of the catalyst-reactant complex is denoted as (QCAT), and the variation of QCAT in the RDP is denoted as ΔQCAT hereafter (Fig. 2c). The RDS of Reaction 1 is B1 → TSB1/C1 → C1. Intermediates B1 and C1 and transition state TSB1/C1 are shown in Fig. 4a, in which the QCAT values are marked. As can be seen, although QCAT increases from −0.241 in B1 to −0.217 in C1, it decreases from −0.241 in B1 to −0.287 in TSB1/C1. Therefore, ΔQCAT = − 0.046 (Fig. 4a). To obtain detailed charge-evolution information, intrinsic reaction coordinate (IRC) calculation was performed to locate transient structures linking the stationary points, and then charge population analysis was performed for these transient structures. The results are plotted in Fig. 4b, which verify that the RDP is featured by electron transfer from the reactant to the catalyst moiety (ΔQCAT < 0). Because an electron-withdrawing substituent enhances the ability of MOFs to accept electrons, substituent like NO2 reduces the Gb,RDS and improves the catalytic activity. On the contrary, because an electron-donating substituent decreases the ability of MOFs to accept electrons, substituent like NH2 increases the Gb,RDS and reduces the catalytic activity. The above results profoundly explain the mechanism for the activity order of Reaction 1: UiO-66-NH2 < UiO-66-H < UiO-66-NO231.
As for Reaction 2, the RDS is C2 → TSC2/D2 → D2. Shown in Fig. 4c are intermediates C2 and D2 and transition state TSC2/D2. The QCAT increases from 0.325 in C2 to 0.420 in TSC2/D2 (ΔQCAT = 0.095) and further increases to 0.515 in D2, suggesting that electrons are transferred from the catalyst to the reactant moiety in the RDP. This charge population result is further evidenced by the result of Fig. 4d, which shows the detailed charge evolution along the IRC. Because an electron-donating substituent enhances the ability of MOFs to transfer electrons away, the result profoundly explains the mechanism for the activity order of Reaction 2: UiO-66-NH2 > UiO-66-H > UiO-66-NO234.
Taken together, the mechanism for the electronic substituent effects on the catalytic activities of metal nodes of MOFs can be ascribed to ΔQCAT, namely, the variation of catalyst charge in the RDP. In case of ΔQCAT < 0 (e.g., Reaction 1), the activity is closely relevant to the electron transfer from the reactant to catalyst moiety in the RDP. Because electron withdrawing substituents are beneficial to such an electron transfer, they will reduce Gb,RDS and increase the catalytic activity. In case of ΔQCAT > 0 (e.g., Reaction 2), the activity is closely relevant to the electron transfer from the catalyst to reactant moiety in the RDP. Because electron donating substituents are beneficial to such an electron transfer, they will reduce Gb,RDS and increase the catalytic activity. The above result profoundly explains the opposite electronic substituent effects of UiO-66-X in catalyzing Reactions 1 and 231,34.
Linker orbital energy model
To quantitatively describe the electronic substituent effects on thermal catalytic activity of metal nodes of UiO-66-X MOFs, the linker orbital energy model was established. To this end, the orbital interaction between reactant and catalyst moieties was analyzed for TSB1/C1 and TSC2/D2, i.e., the RDTS for Reactions 1 and 2, using the ETS-NOCV method39. The results are present in Fig. 5a and Supplementary Fig. 4. As can be seen, the main orbital interactions of both RDTSs are similar, which is the interaction between the metal \({{{\mathrm{d}}}}_{{{{\mathrm{z}}}}^{{{\mathrm{2}}}}}\) orbital and linker p orbital. Owing to the remote π-d conjugation between the linker substituent and nodal metal, the substituent will tune the extranuclear electron density and consequently effective nuclear charge (Zeff) of the metals (Fig. 5b and Supplementary Fig. 5). This will further tune the catalytic activity of the metal by tuning the energies of molecular orbitals, including the \({{{\mathrm{d}}}}_{{{{\mathrm{z}}}}^{{{\mathrm{2}}}}}\) orbital, localized on it. Such substituent effect on catalytic activity via the π-d conjugation is sometimes understood by that the remote conjugation tunes the Lewis acidities of the nodal metals31,33,40.
To establish a quantitative relationship between the catalytic activity (estimated by value of Gb,RDS) and orbital energy, the frontier orbital energies of substituted catalysts and Gb,RDS’s were calculated for Reactions 1 and 2, using Structure-C (R = R1; X = NH2, CH3, OH, H, F, Cl, Br, NO2, CHO, CN, CF3) as the model of UiO-66-X (Fig. 2b). The reason of using Structure-C is discussed in the Method section. The Gb,RDS of Reaction 1 scales positively with the LUMO energies of the catalyst, ECAT,LUMO (Fig. 5c); likewise, the Gb,RDS of Reaction 2 scales negatively with the ECAT,LUMO (Fig. 5d). Different equations like linear and exponential functions were used to fit Gb,RDS with ECAT,LUMO. For simplicity and avoiding overfitting, the linear relationships were adopted here for further discussion (for exponential fitting, see Supplementary Fig. 6). For both reactions, the Gb,RDS also shows the scaling relationships with the corresponding HOMO energy of the catalyst (ECAT,HOMO), but the R2 fitted with ECAT,HOMO are smaller than the corresponding R2 with ECAT,LUMO (Supplementary Fig. 7). The better relationship of Gb,RDS with ECAT,LUMO may be ascribed to that the metal \({{{\mathrm{d}}}}_{{{{\mathrm{z}}}}^{{{\mathrm{2}}}}}\) orbital constitutes the main orbital interaction in the RDTS, as suggested by Fig. 5a.
Interestingly, the frontier orbital energies of the catalysts have good linear relationships with the corresponding frontier orbital energies of the linkers: the LUMO of linker (EL,LUMO) scales linearly with ECAT,LUMO with R2 = 0.99 for the linear fitting (Fig. 5e); the HOMO of linker (EL,HOMO) scales linearly with ECAT,HOMO with R2 = 0.97 (Fig. 5f). Such good linearly relationships can be ascribed to that both HOMO and LUMO of the UiO-66-X clusters are mainly located on the linkers (Supplementary Fig. 8). Based on the approximately linear relationships between Gb,RDS and ELUMO, the following equation can be derived:
The details of the derivation of Eq. (2) can be found in the Supplementary Note 1. In Eq. (2), rMOF-X and rMOF-H mean the catalytic reaction rates of substituted and unsubstituted MOFs, respectively; m and n are constants depending on the catalytic system and m > 0. Equation (2) quantitatively describes the remote electronic effects of substituents on catalytic activity of metal nodes of MOFs. Especially, the slope of the linear function of Eq. (2) indicates the plus or minus sign of ΔQCAT, providing mechanistic insights into the catalytic mechanisms.
Comparing Eq. (1) and Eq. (2), it is obvious that item mΔQCAT of Eq. (2) corresponds to ρ of Equation (2), and EL,LUMO of Eq. (2) corresponds to σ of Eq. (1). This suggests that Hammett constant should have linear relationship with EL,LUMO. The plots of σ and its extensions with EL,LUMO are present in Supplementary Fig. 9 and Table 1, in which the approximate linear relationships of the constants with EL,LUMO can indeed be found. This result confirms the potential of EL,LUMO as the activity descriptor of MOFs.
Noteworthily, although ΔQCAT is key to understanding the mechanisms underlying the model, the exact value of ΔQCAT is not required when using the linker orbital energy model. Similarly, the exact energies of ligand frontier orbitals with respect to vacuum energy, which are usually hard to obtain by DFT calculations, are also not required when using the model. Instead, obtaining the relative values of the orbital energies is sufficient for using the model. Because frontier orbital energies are intrinsic properties of linkers, whose relative values can be easily and reliably obtained by DFT calculations41 or photoelectron spectroscopic experiments, the model provides a simple way to fine tuning catalytic activity of MOFs by engineering linker substituents.
Frontier orbital energies are intrinsic electronic properties of molecules closely relevant to chemical activities, on the basis of which a lot of activity principles have been successfully established for different scenarios before42,43,44,45. The present linker orbital energy model is devised for the electronic substituent effects on catalytic activities of metal nodes of MOFs. It is applicable to MOFs with the same metal nodes but similar linkers and different substituents, in which the linkers and substituents exert influences on the catalytic activity mainly through the electronic π-d conjugation rather than other effects like stereo-hindrance or hydrogen bonding. Such π-d conjugation usually exists in MOFs consisting of transition metals and aromatic linkers, in which the metals make bonds with the linker atoms through the hybridization involving the metal d and linker s and p orbitals (Supplementary Fig. 5). It is inapplicable to MOFs where the substituents are directly added to the metal nodes, not having the d-p π-conjugation46. It is also inapplicable to MOFs where metal nodes are not the catalytic active centers47.
Experimental verification of the model
To verify its validity, the above linker orbital energy model has been used to revisit the structure-activity relationships of UiO-66 MOFs with a larger variety of linkers and substituents. For Reaction 1, UiO-66-X MOFs with eight substituents were considered (X = H, NH2, OCH3, F, CH3, Br, Cl, NO2); for Reaction 2, UiO-66-X (X = NH2, NO2, H), UiO-67-H, UiO-67-m-NH2, and UiO-67-o-NH2 were considered. The structure-activity relationships for these reactions have been experimentally studied before. The rates of Reaction 1 catalyzed by the UiO-66-X MOFs, which were taken from the study of Vermoortele et al.31, are plotted in a linear function with the orbital energy EL,LUMO in Fig. 6a (for the source data, see Supplementary Table 2). The negative slope means ΔQCAT < 0, which is in good agreement with the above result that the RDP of Reaction 1 has a minus ΔQCAT. Rates of Reaction 234 catalyzed by the UiO-66/67-X were taken from the study of Katz et al. and Islamoglu et al.36. As shown in Fig. 6b, they correlate in positively with EL,LUMO, in good agreement with the above result that the RDP of Reaction 2 has a positive ΔQCAT (ΔQCAT > 0). Therefore, the present results systematically disclose the underlying mechanisms for the previously reported linker and substituent effects on catalytic activities of UiO-66/67 MOFs.
To verify whether it is applicable to MOFs beyond UiO-66, the model has been further applied to revisit the structure-activity relationships for MIL-53(Fe)-X and MIL-101(Fe)-X MOFs, which catalytically activate O2 to oxidize organic substrate as oxidases do32. The structures of these two MOFs are shown in Fig. 6c. Wu et al. have reported that an electron-withdrawing substituents like NO2 enhance the catalytic activities of both MOFs. Because an electron-withdrawing substituent reduces linker LUMO energies, it can be inferred from the model that the ΔQCAT of the catalyses have a minus sign (ΔQCAT < 0). This mechanistic insight agrees well with the previous study that the RDS of the catalysis is indeed an electron-transfer-to-catalyst process32. Because ΔQCAT < 0, it can be further inferred from the model that the relative catalytic activities of both MOFs correlate negatively with EL,LUMO. As can be seen from Fig. 6d, e, the activities indeed scale negatively with EL,LUMO. These results suggest that the linker orbital energy model is also applicable to MIL-53(Fe)-X and MIL-101(Fe)-X MOFs.
The model is even applicable to the substituent effects on activity of organometallic complexes beyond MOFs. Wu et al. have recently developed another substituent constant σPd+, which better describes the electronic effects of remote substituents on thermodynamics and kinetic of the palladium complexes21. The model was also used to revisit the activity of the ligand exchange reaction of the substituted palladium complexes. As shown in Fig. 6f, the relative rate of the ligand exchange reaction indeed has a linear relationship with the EL,LUMO of substituted benzoic acid, suggesting the general applicability of the model.
The above results also serve as the example applications of the model. Because Hammett theory18 and its derivatives21,22 have been widely used to quantify the electronic substituent effects on a large variety of materials properties, e.g., orbital energies24, bonding energies21,25, catalytic activity26, reaction barriers27, and reaction mechanisms28,29, we expect that the present model will serves as the more simple and general theoretical tool for remote substituent effects on materials properties including catalytic activities of metal nodes of MOFs.
Discussion
To summarize, the linker orbital energy model approximately describing the remote electronic effects of linker substituents on catalytic activities of metal nodes of MOFs has been developed and verified. The \({{{\mathrm{d}}}}_{{{{\mathrm{z}}}}^{{{\mathrm{2}}}}}\) orbital of nodal metals of MOFs, whose energy is crucially influenced by the remote substituent via the π-d conjugation, plays a vital role in the catalysis. The free energy barrier, Gb,RDS, of the rate-determining step of the catalysis scales approximately linearly with linker LUMO energy, EL,LUMO, suggesting that EL,LUMO is the effective descriptor for the substituent effects on the catalytic activity. The plus or minus sign of the catalyst charge variation in the rate-determining process, namely ΔQCAT, signifies how Gb,RDS depends on EL,LUMO: Gb,RDS scales positively with EL,LUMO if ΔQCAT < 0; Gb,RDS scales negatively with EL,LUMO if ΔQCAT > 0. These results lead to the development of the model of Eq. (2), which quantitatively depicts the approximately linear relationship between the relative catalytic activities and EL,LUMO. The validity of model has been supported by revisiting the structure-activity relationships of different MOFs and reactions. The results profoundly explain the mechanisms for the previously reported linker and substituent effects on the catalytic activities of MOFs, which are the state-of-the-art questions of the research field. Compared to Hammett constants, the present model does not reply on empirical parameters, and it is applicable MOFs with not only varying substituents but varying linkers. The model may provide a general method to precisely design catalytic activity of metal nodes of MOFs by engineering the electronic properties of linkers and substituents.
Methods
Structural models
The structures shown in Fig. 2 were used as the cluster models of UiO-66-X. Structure-A is composed by one metal node and four substituted vinyl groups, and Structure-B is composed by one metal node and four ortho-substituted phenyl groups (Fig. 2a). Cluster models rather than periodic slab models were used to represent UiO-66-X was for two reasons. First, all metal nodes in UiO-66-X are separated by aryl linkers and thus cluster models are sufficient to reproduce the local chemical environments of the metal nodes in UiO-66-X. Second, hybrid density functionals, which have been very successful in the field of computational chemistry48, are extremely computationally demanding for the slab models. Indeed, Structure-B and similar cluster models have been successfully used as the models to study the catalytic mechanisms of UiO-66-X31,36,49 and other MOFs before16,50. Our test calculations for Reaction 1 further suggested that catalytic mechanisms and activity orders, which were indicated by free energy barriers (Gb,RDS) of rate-determining steps (RDSs), calculated with Structure-A and Structure-B were identical (Supplementary Fig. 1). Compared to phenyl linkers of Structure-B, smaller vinyl linkers of Structure-A exert smaller steric hindrance to the reactions. Therefore, Structure-A is more suitable than Structure-B for studying electronic substituent effects of UiO-66-X, and was extensively used here to investigate the full catalytic mechanisms and energy changes.
Structure-C consisting of the metal node and only one aryl linker, was constructed as the simpler model of UiO-66-X (Fig. 2b). Using only one linker was intended to study the electronic effect of the specific linker. To focus on effects of linker orbital energies, the substituent in Structure-C was placed on the para- rather than ortho-position of the benzene ring to avoid the possible involvement of substituent steric effects. Structure-C is more concise than Structure-A and B and is more suitable for extensive calculations.
Calculations
All DFT calculations were performed in the solvent phase using the M062X density function51. The inexplicit solvent model, polarizable continuum model52, was used to simulate the solvent effect. Toluene and water were selected as the solvent molecules for Reactions 1 and 2, respectively, according to the corresponding experimental studies31,34,36. All structures were obtained by locating geometries of stationary points in the potential energy surfaces. All intermediates and transition states on the potential energy surface were verified by checking the number of imaginary frequencies using frequency analysis calculations. The intermediate and transition state have zero and one imaginary frequency, respectively. The free energy data were also obtained through the frequency analysis calculations. The intrinsic reaction coordinates (IRCs) were obtained with the IRC method53,54, and the charges were obtained using the natural population analysis (NPA) method55. All metal atoms were treated with the Lanl2DZ basis set and the Lanl2DZ effective core potential56. All nonmetal atoms were treated with the 6–31 G(d,p) or the 6–31 + G(d,p) basis set57. The 6–31 G(d,p) basis set was used to calculate the full catalytic mechanisms, free energy profiles, and the charge population analyses. The 6–31 + G(d,p) basis set with the “Grid=UltraFine” keyword was used to study the relationships of linker orbital energies with Hammett σ constants, the free energy barriers, and frontier orbital energies of catalysts. The above calculations were performed with the GAUSSIAN 09 program58 with the default parameter setting if not mentioned otherwise. The reference of the orbital energies was the vacuum level by default.
The orbital interaction between reactant and catalyst moieties was analyzed using the extended transition state (ETS) method in conjunction with the natural orbitals for chemical valence (NOCV) theory39. The Becke−Perdew exchange-correlation functional BP8659,60,61 with the TZ2P basis sets as implemented in the program package ADF2014.10. was used these calculations62. More details of this calculation method can be found in our previous study63.
Data availability
The authors declare that all other data supporting the findings of this study are available within the paper, the Supplementary Information file.
References
Poulos, T. L. Heme enzyme structure and function. Chem. Rev. 114, 3919–3962 (2014).
Du, D.-Y., Qin, J.-S., Li, S.-L., Su, Z.-M. & Lan, Y.-Q. Recent advances in porous polyoxometalate-based metal–organic framework materials. Chem. Soc. Rev. 43, 4615–4632 (2014).
Vilà-Nadal, L. & Cronin, L. Design and synthesis of polyoxometalate-framework materials from cluster precursors. Nat. Rev. Mater. 2, 17054 (2017).
Goodman, E. D., Zhou, C. & Cargnello, M. Design of organic/inorganic hybrid catalysts for energy and environmental applications. ACS Cent. Sci. 6, 1916–1937 (2020).
Lee, S., Jeong, H., Nam, D., Lah, M. S. & Choe, W. The rise of metal–organic polyhedra. Chem. Soc. Rev. 50, 528–555 (2021).
Durand, D. J. & Fey, N. Computational ligand descriptors for catalyst design. Chem. Rev. 119, 6561–6594 (2019).
Yaghi, O. M. et al. Reticular synthesis and the design of new materials. Nature 423, 705–714 (2003).
Batten, S. R. et al. Coordination polymers, metal–organic frameworks and the need for terminology guidelines. CrystEngComm 14, 3001–3004 (2012).
Furukawa, H., Cordova, K. E., O’Keeffe, M. & Yaghi, O. M. The chemistry and applications of metal-organic frameworks. Science 341, 1230444 (2013).
Zhao, S.-N., Song, X.-Z., Song, S.-Y. & Zhang, H.-J. Highly efficient heterogeneous catalytic materials derived from metal-organic framework supports/precursors. Coord. Chem. Rev. 337, 80–96 (2017).
Kirlikovali, K. O., Chen, Z., Islamoglu, T., Hupp, J. T. & Farha, O. K. Zirconium-based metal-organic frameworks for the catalytic hydrolysis of organophosphorus nerve agents. ACS Appl. Mater. Interfaces 12, 14702–14720 (2020).
Liu, S. et al. Design of metal-organic framework-based photocatalysts for hydrogen generation. Coord. Chem. Rev. 413, 213266 (2020).
Guo, J. et al. Metal–organic frameworks as catalytic selectivity regulators for organic transformations. Chem. Soc. Rev. 50, 5366–5396 (2021).
Li, Y., Cui, M., Yin, Z., Chen, S. & Ma, T. Metal-organic framework based bifunctional oxygen electrocatalysts for rechargeable zinc-air batteries: current progress and prospects. Chem. Sci. 11, 11646–11671 (2020).
Wang, Y. et al. Two-dimensional metal-organic frameworks with unique oriented Layers for oxygen reduction reaction: tailoring the activity through exposed crystal facets. CCS Chem. 4, 1633–1642 (2022).
McCarver, G. A., Rajeshkumar, T. & Vogiatzis, K. D. Computational catalysis for metal-organic frameworks: an overview. Coord. Chem. Rev. 436, 213777 (2021).
Hammett, L. P. Linear free energy relationships in rate and equilibrium phenomena. Trans. Faraday Soc. 34, 156–165 (1938).
Hammett, L. P. The effect of structure upon the reactions of organic compounds. benzene derivatives. J. Am. Chem. Soc. 59, 96–103 (1937).
Brown, H. C. & Okamoto, Y. Substituent constants for aromatic substitution. J. Am. Chem. Soc. 79, 1913–1917 (1957).
Brown, H. C. & Okamoto, Y. Electrophilic substituent constants. J. Am. Chem. Soc. 80, 4979–4987 (1958).
Wu, J.-Y., Mo, B.-R., Yang, J.-D. & Cheng, J.-P. A distinctive pattern for substituent effects on transition metal centers: enhanced electron-donating capacity of cationic palladium species. CCS Chem. https://doi.org/10.31635/ccschem.31022.202201990 (2022).
Hansch, C., Leo, A. & Taft, R. W. A survey of Hammett substituent constants and resonance and field parameters. Chem. Rev. 91, 165–195 (1991).
Yadav, V. K. in Steric and stereoelectronic effects in organic chemistry, 179-189 (Springer International Publishing, Cham, 2021).
Chang, A. M., Freeze, J. G. & Batista, V. S. Hammett neural networks: prediction of frontier orbital energies of tungsten-benzylidyne photoredox complexes. Chem. Sci. 10, 6844–6854 (2019).
Wu, J.-Y., Li, Z., Yang, J.-D. & Cheng, J.-P. Bonding energetics of palladium amido/aryloxide complexes in DMSO: implications for palladium-mediated aniline activation. Angew. Chem. Int. Ed. 59, 23782–23790 (2020).
Kumar, G. et al. Evaluating differences in the active-site electronics of supported Au nanoparticle catalysts using Hammett and DFT studies. Nat. Chem. 10, 268–274 (2018).
Bragato, M., von Rudorff, G. F. & von Lilienfeld, O. A. Data enhanced Hammett-equation: reaction barriers in chemical space. Chem. Sci. 11, 11859–11868 (2020).
Cruz, C. L. & Nicewicz, D. A. Mechanistic investigations into the cation radical newman–kwart rearrangement. ACS Catal. 9, 3926–3935 (2019).
Barbee, M. H. et al. Substituent effects and mechanism in a mechanochemical reaction. J. Am. Chem. Soc. 140, 12746–12750 (2018).
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).
Vermoortele, F. et al. Electronic effects of linker substitution on Lewis acid catalysis with metal-organic frameworks. Angew. Chem. Int. Ed. 51, 4887–4890 (2012).
Wu, J. et al. Hammett relationship in oxidase-mimicking metal-organic frameworks revealed through a protein-engineering-inspired strategy. Adv. Mater. 33, e2005024 (2021).
Santiago-Portillo, A., Navalón, S., Concepción, P., Álvaro, M. & García, H. Influence of terephthalic acid substituents on the catalytic activity of MIL-101(Cr) in three lewis acid catalyzed reactions. ChemCatChem 9, 2506–2511 (2017).
Katz, M. J. et al. Exploiting parameter space in MOFs: a 20-fold enhancement of phosphate-ester hydrolysis with UiO-66-NH2. Chem. Sci. 6, 2286–2291 (2015).
Katz, M. J. et al. One step backward is two steps forward: enhancing the hydrolysis rate of UiO-66 by decreasing [OH–]. ACS Catal. 5, 4637–4642 (2015).
Islamoglu, T. et al. Presence versus proximity: The role of pendant amines in the catalytic hydrolysis of a nerve agent simulant. Angew. Chem. Int. Ed. 57, 1949–1953 (2018).
Troya, D. Reaction mechanism of nerve-agent decomposition with Zr-based metal organic frameworks. J. Phys. Chem. C. 120, 29312–29323 (2016).
Chen, H., Liao, P., Mendonca, M. L. & Snurr, R. Q. Insights into catalytic hydrolysis of organophosphate warfare agents by metal–organic framework NU-1000. J. Phys. Chem. C. 122, 12362–12368 (2018).
Mitoraj, M. P., Michalak, A. & Ziegler, T. A combined charge and energy decomposition scheme for bond analysis. J. Chem. Theo. Comput. 5, 962–975 (2009).
Torbina, V., Ten, S. & Vodyankina, O. Effect of organic linker substituent on catalytic activity of UiO-66 metal-organic framework in selective oxidation of propylene glycol: homolytic versus heterolytic activation of hydrogen peroxide. Mater. Today Chem. 24, 100776 (2022).
Zhang, G. & Musgrave, C. B. Comparison of DFT methods for molecular orbital eigenvalue calculations. J. Phys. Chem. A 111, 1554–1561 (2007).
Wang, Y., Liang, Y., Bo, T., Meng, S. & Liu, M. Orbital dependence in single-atom electrocatalytic reactions. J. Phys. Chem. Lett. 13, 5969–5976 (2022).
Baik, M.-H., Gherman, B. F., Friesner, R. A. & Lippard, S. J. Hydroxylation of methane by non-heme diiron enzymes: molecular orbital analysis of C−H bond activation by reactive intermediate Q. J. Am. Chem. Soc. 124, 14608–14615 (2002).
Wu, X. P. & Gong, X. Q. Unique electronic and structural effects in vanadia/ceria-catalyzed reactions. J. Am. Chem. Soc. 137, 13228–13231 (2015).
Lu, F. et al. Revealing the role of d orbitals of transition-metal-doped titanium oxide on high-efficient oxygen reduction. CCS Chem. 3, 180–188 (2021).
Yang, D. et al. Tuning catalytic sites on Zr6O8 metal–organic framework nodes via ligand and defect chemistry probed with tert-butyl alcohol dehydration to isobutylene. J. Am. Chem. Soc. 142, 8044–8056 (2020).
Al-Attas, T. A. et al. Ligand-engineered metal–organic frameworks for electrochemical reduction of carbon dioxide to carbon monoxide. ACS Catal. 11, 7350–7357 (2021).
Vogiatzis, K. D. et al. Computational approach to molecular catalysis by 3d transition metals: challenges and opportunities. Chem. Rev. 119, 2453–2523 (2019).
Yang, D. et al. Structure and dynamics of Zr6O8 metal-organic framework node surfaces probed with ethanol dehydration as a catalytic test reaction. J. Am. Chem. Soc. 140, 3751–3759 (2018).
Odoh, S. O., Cramer, C. J., Truhlar, D. G. & Gagliardi, L. Quantum-chemical characterization of the properties and reactivities of metal–organic frameworks. Chem. Rev. 115, 6051–6111 (2015).
Zhao, Y. & Truhlar, D. G. The M06 suite of density functionals for main group thermochemistry, thermochemical kinetics, noncovalent interactions, excited states, and transition elements: two new functionals and systematic testing of four M06-class functionals and 12 other functionals. Theo. Chem. Acc. 120, 215–241 (2008).
Tomasi, J., Mennucci, B. & Cammi, R. Quantum mechanical continuum solvation models. Chem. Rev. 105, 2999–3094 (2005).
Fukui, K. The path of chemical reactions - the IRC approach. Acc. Chem. Res. 14, 363–368 (1981).
Schlegel, H. P. H. A. H. B. Theory and applications of computational chemistry the first forty years. 195-249 (Elsevier, Amsterdam, 2005).
Reed, A. E., Weinstock, R. B. & Weinhold, F. Natural population analysis. J. Chem. Phys. 83, 735–746 (1985).
Hay, P. J. & Wadt, W. R. Ab initio effective core potentials for molecular calculations. Potentials for the transition metal atoms Sc to Hg. J. Chem. Phys. 82, 270–283 (1985).
Rassolov, V. A., Ratner, M. A., Pople, J. A., Redfern, P. C. & Curtiss, L. A. 6-31G* basis set for third-row atoms. J. Comput. Chem. 22, 976–984 (2001).
Gaussian 09, Revision D.01 (Gaussian, Inc., Wallingford CT., 2009).
Becke, A. D. Density-functional exchange-energy approximation with correct asymptotic behavior. Phys. Rev. A 38, 3098–3100 (1988).
Perdew, J. P. Density-functional approximation for the correlation energy of the inhomogeneous electron gas. Phys. Rev. B 33, 8822–8824 (1986).
Perdew, J. P. Erratum: density-functional approximation for the correlation energy of the inhomogeneous electron gas. Phys. Rev. B 34, 7406–7406 (1986).
te Velde, G. et al. Chemistry with ADF. J. Comput. Chem. 22, 931–967 (2001).
Gao, X. J. & Gao, X. Computational study on the mechanisms of multiple complexation of CO and isonitrile ligands to boron. J. Phys. Chem. A 121, 2688–2697 (2017).
Acknowledgements
We thank Prof. Hui Wei at Nanjing University and Dr. Jiangjiexing Wu at Tianjin University for their helpful discussion. This work was supported by the National Natural Science Foundation of China (52161135107) and Program for International S&T Cooperation Projects of the Ministry of Science and Technology of China (2018YFE0117200).
Author information
Authors and Affiliations
Contributions
X.G. conceived the project. X.J.G. performed the energy decomposition analysis. Z.W. performed all other calculations. H.M. and J.J.Z. advised on the results. Z.W. drafted the initial manuscript, then X.G. prepared the final manuscript with approval from all the authors.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
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
Wang, Z., Meng, H., Gao, X.J. et al. Remote substituent effects on catalytic activity of metal-organic frameworks: a linker orbital energy model. npj Comput Mater 9, 59 (2023). https://doi.org/10.1038/s41524-023-01008-5
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41524-023-01008-5