Open Access Article
This Open Access Article is licensed under a
Creative Commons Attribution 3.0 Unported Licence

Synthetic and computational assessment of a chiral metal–organic framework catalyst for predictive asymmetric transformation

Jérôme Canivet *a, Elise Bernoud a, Jonathan Bonnefoy a, Alexandre Legrand a, Tanya K. Todorova b, Elsje Alessandra Quadrelli c and Caroline Mellot-Draznieks *b
aUniv. Lyon, Université Claude Bernard Lyon 1, CNRS, IRCELYON UMR 5256, 2 Avenue Albert Einstein, 69626 Villeurbanne, France. E-mail:
bLaboratoire de Chimie des Processus Biologiques, Collège de France, Sorbonne Université, CNRS UMR 8229, PSL Research University, 11 Place Marcelin Berthelot, Paris 75231 Cedex 05, France. E-mail:
cUniv. Lyon, Université Claude Bernard Lyon 1, CNRS, C2P2 UMR 5265, 43 Boulevard du 11 Novembre 1918, 69616 Villeurbanne, France

Received 17th June 2020 , Accepted 5th August 2020

First published on 6th August 2020

Understanding and controlling molecular recognition mechanisms at a chiral solid interface is a continuously addressed challenge in heterogeneous catalysis. Here, the molecular recognition of a chiral peptide-functionalized metal–organic framework (MOF) catalyst towards a pro-chiral substrate is evaluated experimentally and in silico. The MIL-101 metal–organic framework is used as a macroligand for hosting a Noyori-type chiral ruthenium molecular catalyst, namely (benzene)Ru@MIL-101-NH-Gly-Pro. Its catalytic perfomance toward the asymmetric transfer hydrogenation (ATH) of acetophenone into R- and S-phenylethanol are assessed. The excellent match between the experimentally obtained enantiomeric excesses and the computational outcomes provides a robust atomic-level rationale for the observed product selectivities. The unprecedented role of the MOF in confining the molecular Ru-catalyst and in determining the access of the prochiral substrate to the active site is revealed in terms of highly face-specific host–guest interactions. The predicted surface-specific face differentiation of the prochiral substrate is experimentally corroborated since a three-fold increase in enantiomeric excess is obtained with the heterogeneous MOF-based catalyst when compared to its homogeneous molecular counterpart.


Among marketed drugs, 56% contain a chiral center.1 Asymmetric catalysis plays a key role in lowering the environmental impact of the synthetic routes of pure chiral molecules for pharmaceuticals, agrochemicals and flavors,2 allowing the elimination, for example, of environmentally costly separation steps between the desired and unwanted enantiomers or between different diastereoisomers. These asymmetric catalytic routes are mostly performed under homogeneous conditions, which still impose potentially costly constraints in terms of isolation of the targeted molecule.

Heterogeneous asymmetric catalysis would in principle overcome this issue, further improving the sustainability of the synthetic process. However, despite numerous interesting approaches and isolated achievements, heterogeneous asymmetric catalysis has not yet reached comparable deployment.3,4 There is thus a pressing need to develop new strategies to understand and rationalize asymmetric interactions at the solid's interface with the aim of designing performing heterogeneous chiral catalysts.

The last decade has seen unprecedented progresses in first-principle methods such as density functional theory (DFT) to understand the behavior and promote the rational design of inorganic solid catalysts mainly for bulk chemistry.5–8 In this context, crystalline porous materials like Metal–Organic Frameworks (MOF) have been explored as ideal model crystalline structures for in silico investigations of catalytic transformations, however challenged by the increasing sophistication of their hybrid organic–inorganic structures.9–13

Nevertheless, turning to enantioselective reactions, the computationally-driven rationalization of their catalytic activity in heterogeneous asymmetric transformations is challenging. To the best of our knowledge, such rationalization has never been achieved so far notwithstanding the major analogous achievements in computational molecular catalysis,14,15 at least partly because of the complexity of the chemical reactions at the solid's interface when chiral supramolecular interactions come into play.

Here we report the first combined experimental and computational study on chiral porous functionalized hybrids that successfully provides insights into the enantioselective process within novel MOF-based chiral solids and their evaluation for asymmetric catalysis outperforming their homogeneous counterparts. Chiral arene ruthenium prolinamide catalysts are embedded into a MOF host for the first time, and evaluated experimentally in asymmetric transfer hydrogenation (ATH) reaction. To understand the origin of the preferential enantiomer formation within the MOF which outperform the homogeneous counterpart, we investigate computationally the conformations of MOF-confined chiral arene ruthenium prolinamide organometallic complexes. The calculations unveil the crucial role of the surrounding MOF in the supramolecular interactions at the origin of the selectivity in the Ru-catalyzed ATH of acetophenone, selected as a prochiral substrate. On the basis of the in silico findings, computationally predicted enantioselectivities in ATH reaction are confronted to the experimental ones and discussed.

Results and discussion

MIL-101 as MOF scaffold

We selected the extra-large pore aminated framework Al-MIL-101-NH2,16 which is isostructural to Cr-MIL-101 (ref. 17,18) and benefits from a mesopore ideally sized to host large grafted species such as catalytic complexes while preserving their accessibility to substrates (Fig. 1a).19 Al-MIL-101-NH2 is made of octahedral trimeric aluminum(III) clusters linked by 2-aminoterephthalate linkers (bdc-NH2) assembled into supertetrahedra building blocks (Fig. 1b). Aiming at synthesizing a novel class of chiral porous solids, we have previously designed a family of peptide-functionalized MOF capable of performing asymmetric transformations such as asymmetric aldol catalysis.20,21 Atomic-level insights into such peptide-functionalized solids were gained from DFT calculations and 15N NMR of the grafted peptides within the pores, typified in the MIL-68-NH-Gly-Pro solid (Gly: glycine, Pro: proline).22 With the Gly–Pro graft, the glycine spacer was found to be essential in placing the Pro residue towards the center of the cavity rather than folded towards the MOF hydroxyl groups.
image file: d0sc03364b-f1.tif
Fig. 1 MIL-101 metal–organic framework as macroligand for hosting the chiral ruthenium molecular catalyst, namely (benzene)Ru@MIL-101-NH-Gly-Pro. (a) Schematic representation of the Al-MIL-101-NH2 hybrid framework. The hybrid supertetrahedra (ST) are represented as 4-connected corner-sharing nodes (circled in white); (b) detailed view of the hybrid ST showing bdc-NH2 linkers (sticks) on edge-positions and the inorganic Al-octahedra trimers (green polyhedra) in corner-position; (c) functionalization of MIL-101's organic linker with a –Gly–Pro dipeptide (here, L-proline) in complex with (benzene)Ru. The asymmetric atoms (NPro, CPro, NGly and Ru) of the catalytic graft are noted with asterisks. Color code: C, H (grey), N (blue), O (red), Al (green), Ru (orange).

Since molecular transition metal complexes with prolinamide (R–NH–Pro) ligands have already been found to catalyse the asymmetric transfer hydrogenation of ketones,23–25 we postulated that their grafting and confinement into the MOF cavity may leverage their enantioselectivity when compared to that of the homogeneous counterparts, in a similar fashion to that reported in mesoporous silica.26

Despite numerous examples of homochiral amido-functionalized MOF including prolinamide moieties,27 there is no report so far of amido-functionalized MOF used either as a porous macroligand, i.e. a solid acting as the organic ligand in the corresponding molecular complex,28–30 for such organometallic complexes or for asymmetric transfer hydrogenation catalysis.

Thus we use here the enantiopure Al-MIL-101-NH-Gly-Pro solid,21 synthesized with either D- or L-proline, as a porous macroligand for hosting a chiral ruthenium complex (Fig. 1c), noted here (benzene)Ru@MIL-101-NH-Gly-Pro, able to catalyse asymmetric transfer hydrogenation (ATH) reaction (see Section 2 of ESI).

Synthesis of MOF-based chiral catalysts

The Al-MIL-101-NH-Gly-(L)Pro was prepared from Al-MIL-101-NH2 and L-GlyProBoc following our reported two-steps microwave (MW)-assisted protocol whereby 35% of bdc-NH2 linkers of the MOF were functionalized with –Gly–Pro dipeptides (Fig. 2a and S10).21 For the post-synthetic metalation of the peptide-functionalized Al-MIL-101-NH-Gly-Pro macroligand, we used a commercially available dimeric (arene)Ru complexes. The procedure first consisted in splitting the dimers into two identical solvated arene ruthenium complexes, whereby the benzene ruthenium dichloride dimer was put in reaction with silver nitrate in acetonitrile (acn) to yield the monomeric dicationic complex, [(C6H6)Ru(acn)3]2+ (Fig. 2a). This solvation is accelerated by the irreversible removal of chloro ligands and their precipitation as non-soluble silver chloride.31,32 Finally, Al-MIL-101-NH-Gly-(L)Pro reacted with [(C6H6)Ru(acn)3][NO3]2 to give the (benzene)Ru@MIL-101-NH-Gly-(L)Pro MOF material of interest (Fig. 2a). The (benzene)Ru@MIL-101-NH-Gly-(D)Pro solid was prepared following the same procedure but starting from the Al-MIL-101-NH-Gly-(D)Pro, the latter showing similar physicochemical features to its (L)Pro-containing counterpart.21
image file: d0sc03364b-f2.tif
Fig. 2 Synthesis and catalytic application of (benzene)Ru@MIL-101-NH-Gly-Pro. (a) Post-synthetic peptide grafting and metalation of the Al-MIL-101-NH2 with the chiral benzene ruthenium prolinamide complex; (b) acetophenone asymmetric transfer hydrogenation catalyzed by benzene ruthenium species combined with MOF macroligand or molecular ligands, L1 and L2 (see Section 4 in ESI).

The powder X-ray diffraction pattern of the (benzene)Ru@MIL-101-NH-Gly-Pro solids corresponds to that of the parent MIL-101 solid, assessing that the crystallinity is preserved upon the successive grafting and metalation steps (Fig. S11). Brunauer–Emmett–Teller (BET) surface area calculated from the nitrogen adsorption/desorption measurements reveals that the porosity is maintained with a BET surface area of 581 m2 g−1 and an accessible porous volume of 0.3717 cm3 g−1 for (benzene)Ru@MIL-101-NH-Gly-(L)Pro (Fig. S12 and S13).

ICP-OES elemental analysis shows a metal content of 6.7 wt% for Al and 3.9 wt% for Ru. The liquid state 1H NMR of dissolved (benzene)Ru@MIL-101-NH-Gly-(L)Pro in HF–H2O/DMSO d6 evidenced the characteristic peaks of (C6H6)Ru species at δ = 5.7–6.0 ppm as well as a (bdc-NH2)[thin space (1/6-em)]:[thin space (1/6-em)](bdc–NH–Gly–Pro)[thin space (1/6-em)]:[thin space (1/6-em)][(C6H6)Ru] ratio of 10[thin space (1/6-em)]:[thin space (1/6-em)]4.7[thin space (1/6-em)]:[thin space (1/6-em)]3 (Fig. S14). Altogether, the functionalization yield obtained from 1H NMR analysis is in line with the Ru content obtained from ICP-OES analysis, allowing us to propose the formula Al3OCl(bdc-NH2)2(bdc–NH–Gly–(L)Pro)0.6[bdc–NH–Gly(L)Pro (C6H6)Ru(acn) (NO3)2]0.4·4 isopropanol.

It is worth noting that the Ru-metalation was unsuccessful following this procedure using Al-MIL-101-NH-Pro21 instead of Al-MIL-101-NH-Gly-Pro as the starting functionalized platform. This can be explained based on the steric hindrance occurring in Al-MIL-101-NH-Pro, whereby the proline's chelating nitrogen is closer to the MOF's wall than in Al-MIL-101-NH-Gly-Pro, which further hinders the access of the arene ruthenium complex. Importantly, the glycine residue hence plays the role of a necessary spacer by placing the proline residue away from the MOF's wall22 and allowing its subsequent coordination to the arene ruthenium moiety.

Experimental evaluation of homogeneous and heterogeneous chiral Ru-prolinamide catalysts in ketone ATH reaction

The catalytic activity of the MOF-supported chiral benzene ruthenium complexes, (benzene)Ru@MIL-101-NH-Gly-Pro, was evaluated for the ATH of acetophenone into phenylethanol in isopropanol using chiral HPLC analysis (Table 1, Fig. S19 and S20). Both heterogeneous catalysts, with exclusively (L)Pro or (D)Pro, were tested separately. For comparison purposes, two molecular (C6H6)Ru(L)Cl2 analogues were also prepared (Fig. 2b, S16–S18 and Section 4 in ESI) and assayed (Fig. S21 and S22), using N-phenyl-(L)-prolinamide (L1) or (L)-dimethyl-2-(2-(pyrrolidine-2-carboxamido)acetamido)terephthalate (L2) as Ru ligands. (benzene)Ru(L2) represents the closest molecular analogue of the heterogeneous MOF-supported (benzene)Ru(Gly-(L)Pro) catalyst where carboxylate groups mimic those present in the MOF scaffold.
Table 1 Asymmetric transfer hydrogenation of acetophenone.a Comparison of ATH catalytic activity and selectivity of (benzene)Ru@MIL-101-NH-Gly-Pro and molecular Ru complexes with L1 and L2 ligands
Entry Catalyst Temperature (°C) Yieldb (%) E.e.b (%)
a Conditions: 3.9 μmol of Ru (corresponding to 10 mg of MOF catalyst), 2 mg of KOH (36 μmol) in 3 mL of anhydrous isopropanol and 386 mmol of acetophenone (45 μL) at desired temperature for 24 hours. b Determined by HPLC analysis (AS-H column, hexane[thin space (1/6-em)]:[thin space (1/6-em)]isopropanol = 97[thin space (1/6-em)]:[thin space (1/6-em)]3, 0.9 mL min−1, 215 nm). The configuration of the major product is given in brackets. c The catalyst is obtained by mixing in situ [(C6H6)RuCl2]2 and 1 eq./Ru of the desired L-Pro derived ligand in isopropanol at room temp prior to catalytic test.
1 (benzene)Ru@MIL-101-NH-Gly-(L)Pro 20 15 38 (S)
2 (benzene)Ru@MIL-101-NH-Gly-(L)Pro 40 32 28 (S)
3 (benzene)Ru@MIL-101-NH-Gly-(L)Pro 60 90 20 (S)
4 (benzene)Ru@MIL-101-NH-Gly-(D)Pro 20 12 21 (R)
5 (benzene)Ru(L1)Cl2c 20 85 12 (R)
6 (benzene)Ru(L2)Cl2c 20 21 7 (R)

At 20 °C, the (benzene)Ru@MIL-101-NH-Gly-Pro heterogeneous catalysts lead to enantiomeric excesses (e.e.) of 38% when using (L)Pro and 21% when using (D)Pro (yields = 12–15%, Table 1, entries 1 and 4). The heterogeneous nature of the MOF-based catalytic process was confirmed by split test. After solid catalyst filtration from the supernatant under argon, the solution was allowed to react for further 24 h and no evolution of conversion or enantiomeric excess was observed over time (Fig. S23). Moreover, the recyclability of the (benzene)Ru@MIL-101-NH-Gly-(L)Pro catalyst was evaluated through 3 consecutive runs by carefully washing the solid with anhydrous isopropanol, whereby no loss of either activity or selectivity was observed (Fig. S24). The e.e. observed with the MOF-based heterogeneous catalyst are significantly higher than those observed under homogeneous conditions with the molecular analogues of the catalytically active species in the MOF solid.

Chiral Ru-prolinamide molecular species have been reported to show enantiomeric excess in the ATH reaction ranging from 4 to 13% in the reduction of acetophenone when using N-phenyl-prolinamide as the Ru ligand.33 The e.e. values obtained with the two molecular (benzene)Ru(L1) and (benzene)Ru(L2) catalysts, while being in a similar range (7–12%) with those reported for the N-phenyl-prolinamide Ru complex (4–13%),33 are significantly lower than those achieved with the MOF-supported catalysts (21–38%). Regarding the yields, (benzene)Ru(L2), the closest structural molecular analogue of the MOF macroligand (see Fig. 2b), shows a yield (21%, Table 1, entry 6) to be compared with that obtained with the (benzene)Ru@MIL-101-NH-Gly-(L)Pro catalyst (15%, Table 1, entry 1). In contrast, (benzene)Ru(L1) leads to higher yield (85% yield, Table 1, entry 5).

The difference in yield between (benzene)Ru(L2) and (benzene)Ru(L1) shows the capacity of substituents on the ancillary ligand to affect the catalytic activity at the ruthenium center. The electron withdrawing group in L2 induces a lower electron density at the ruthenium center in (benzene)Ru(L2) resulting in its lower activity when compared to that of (benzene)Ru(L1). The similarity in yield between (benzene)Ru(L2) and the MOF-based catalyst suggests that there is no substantial limitation due to the diffusion of reactant and products within the porous solid.

Regarding the effect of the temperature on the catalytic performances, we observed that increasing the reaction temperature using the MOF-based catalyst favors the reactivity of the ruthenium center at the expense of its selectivity. Upon heating from 20 to 60 °C, the yield increases from 15 to 90% while the e.e. decreases from 38 to 20%, remaining still higher than those observed with the homogeneous catalysts at room temperature.

Overall, the selectivity obtained with the heterogeneous (benzene)Ru@MIL-101-NH-Gly-(L)Pro catalyst is three times higher than that found in analogous homogeneous systems. These experimental results highlight the key role of the MOF macroligand in enhancing the enantioselectivity in the ATH reaction.

When using the (L)Pro-based (benzene)Ru@MIL-101-NH-Gly-(L)Pro catalyst, the main product is the S-phenylethanol (entry 1). We also assayed the (D)Pro-based catalyst and similar conversion (12%) and e.e. (21%) were found with the (benzene)Ru@MIL-101-NH-Gly-(D)Pro (Table 1, entry 4) as with the (L)Pro-based one (Table 1, entry 1), detecting the R-phenylethanol as the main product, as expected. Remarkably, the inversion of selectivity on the basis of the inversion of the catalytic centre's configuration, which is well-known in molecular catalysts,34 is shown to be indeed at play in the solid state, i.e. when the Ru-catalyst is hosted in the MOF macroligand. Furthermore, the correlation between the configuration of the proline (with its R or S carbon) and that of the product (S or R, respectively) is fully confirmed by these experiments.

Notably, an inversion of the 2-phenylethanol product's configuration is observed between the heterogeneous (Table 1, entries 1–3) and homogeneous (Table 1, entries 5 and 6) (L)Pro-based catalysts, whereby S and R enantiomers are formed as main products respectively. A reversed enantioselectivity in MOF-supported catalysts compared to homogeneous analogues was also reported for proline-catalyzed asymmetric aldol reaction in two recent studies, both postulating a change in the substrate's activation pathway influenced by either the inorganic MOF node or adsorbed solvent molecules.35,36

It thus clearly appears that the MOF scaffold surrounding the Ru catalytic centre is at the origin of the higher enantioselectivity, as well as the enantiomer inversion. To get molecular level insight into the enantioselective mechanism at play within the (benzene)Ru@MIL-101-NH-Gly-Pro catalyst, we implemented a comprehensive DFT-level computational study.

Computational generation of chiral models

We started with a stepwise computational strategy to find the most likely anchoring positions for the (benzene)Ru(Gly–Pro) catalytic graft into the MOF's cavity. It consisted in the construction of a library of initial models of the (benzene)Ru@MIL-101-NH-Gly-(L)Pro solid, followed by molecular dynamics (MD) simulations and density functional theory (DFT) calculations (see ESI, Section 1.1). This initial set of periodic constructs was built by covalently grafting the (benzene)Ru(Gly–Pro) moiety through a peptide bond between the amino group of a MOF's organic linker and the proline's carboxylate end, at various positions into the unit-cell of Al-MIL-101-NH2. In view of the complexity of this structure, the primitive cell of Al-MIL-101-NH2's crystal structure was used and the grafting was performed within a 6-membered ring of a large cage (Fig. S1), thus allowing an optimal access for the substrate.

The (benzene)Ru@MIL-101-NH-Gly-(L)Pro periodic constructs were used as starting models to perform 5 ns MD calculations at 298 K. A selection of finite-size models (ca. 680 atoms) were then extracted from the MD trajectories of the periodic models and optimized and compared at the dispersion-corrected DFT-D3 level to assess the interactions of the (benzene)Ru(Gly–Pro) graft with the MOF host (Fig. S2 and Section 1.4 in ESI).

For these DFT calculations, large finite-size models containing the entire hexagonal window and three ST vicinal to the (benzene)Ru(Gly–Pro) graft were required to mimic the MOF's environment around the catalytic site. Overall, the most favourable model for the (benzene)Ru(Gly–Pro) graft identified in this process (Fig. S2, model A) exhibits its benzene(Ru) component oriented towards the MOF's dicarboxylate (bdc) linker of a neighboring ST, as illustrated in Fig. 3a and b. The graft is stabilized through π(benzene-Ru)⋯H(bdc) interactions with the hydrogens of the MOF's linker and a hydrogen-bond type H(Gly)⋯N(NH2-bdc) interaction (2.6 Å). MD simulations performed on the periodic counterpart of this model show the persistence of this positioning at room temperature, which was then selected as a starting point for all subsequent computations. To characterize the stereochemistry of the (benzene)Ru(Gly–Pro) catalytic complex, the R (rectus)/S (sinister) notation was adopted along the NPro–CPro–NGly–Ru sequence of asymmetric atoms noted with asterisks in Fig. 1c. The envisioned ATH reaction of an aromatic ketone to give the corresponding chiral alcohol requires that two hydrogen atoms, i.e. the hydridic Ru–H of the metal center and the protic NPro–H of the proline, are in cis position to allow their transfer to the C and O atoms, respectively, of the substrate's C[double bond, length as m-dash]O bond in order to yield the R- and/or S-alcohols (Fig. 3c and S3).37

image file: d0sc03364b-f3.tif
Fig. 3 (a) Favoured position of the (benzene)Ru(Gly–Pro) graft in MIL-101-NH2 identified from MD/DFT calculations (see ESI, Fig. S2, model A), viewed along the c axis. (b) Detailed re-orientated view showing the (benzene)Ru(Gly–Pro) graft stabilized through H(Gly)⋯N(NH2-bdc) and π(benzene-Ru)⋯H(bdc) interactions with the MOF. (c) ATH reaction of an aromatic ketone with a Noyori-type molecular catalyst: Pro-S and Pro-R complexes are formed upon the re-face and si-face approaches of the substrate, respectively. Color code: Al (green), Ru (orange), Cl (pale green), N (blue), O (red), C (grey), H (white).

This mechanistic requirement implies that only a subset of NPro–CPro–NGly–Ru configurations of the graft may be functional towards the ATH reaction, whereby the two Ru and NPro atoms should possess identical R (or S) configurations (i.e. either SN(Pro), SRu or RN(Pro), RRu), allowing to reduce the number of the computationally explored stereoisomers from 16 to 8.

Two series of four stereoisomers that are potentially catalytically active for ATH may thus be distinguished that differ by the configuration of their proline, i.e. possessing either S or R configured CPro. The two series correspond to enantiomeric sets, where the four SC(Pro)- and four RC(Pro)-containing stereoisomers are mirror images of each other (for instance, SN(Pro)SC(Pro)RN(Gly)SRu, and RN(Pro)RC(Pro)SN(Gly)RRu). Notably, this analysis allowed for a further reduction of the number of configurations of the graft to be computed. Only the four L-proline containing diastereoisomers are thus discussed below with respect to the ATH reaction in the (benzene)Ru@Al-MIL-101-NH-Gly-(L)Pro material. We carefully checked that the D-proline-containing enantiomers provided rigorously identical computational results to those obtained with their L-proline-containing counterparts, allowing us to reason our findings solely on the subset of L-proline containing models.

The four configurations of the (benzene)Ru(Gly–Pro) graft, i.e. SN(Pro)SC(Pro)RN(Gly)SRu, SN(Pro)SC(Pro)SN(Gly)SRu, RN(Pro)SC(Pro)RN(Gly)RRu and RN(Pro)SC(Pro)SN(Gly)RRu, were computed at the DFT-D3 level using the most favourable anchorage position identified above, noted as variants 1, 2, 3 and 4, respectively (Table 2 and ESI, Section 1.3.1). The DFT calculations show that the various configurations of the graft establish recurrent stabilizing interactions with the MOF as illustrated in Fig. 3b for 3 (Fig. S4–S6 for 1, 2 and 4, respectively). In all variants, the amide NHMOF – the anchoring point of the graft – features an intramolecular hydrogen bond (1.7–1.8 Å) with the carboxyl oxygen of the linker. This interaction hinders the rotational freedom around the Clinker–NHMOF bond, thus constraining the orientation of the planar COGly–NHMOF peptide bond. The rest of the (benzene)Ru(Gly–Pro) graft systematically adopts the typical piano-stool structure of this well-known class of organometallics.38 The Ru-metal center is coordinated to the two nitrogen atoms, NHGly and NHPro, of the –Gly–Pro dipeptide whereby the rotational freedom of the proline around the CGly–CPro bond is also prohibited. This contrasts with the relative rotational freedom observed in the ruthenium-free MOF–Gly–Pro functionalized framework.22 Key short-range interactions with the MOF host stabilize the entire (benzene)Ru(Gly–Pro) graft. Typically, π-type interactions between the benzene ring of the (benzene)Ru moiety and the aromatic hydrogen atoms of the MOF's linker occur in a recurrent fashion in 2, 3 and 4, with π(benzene-Ru)⋯H(bdc) distances in the 2.6–3.3 Å range. Additional H(Gly)⋯NNH2-bdc hydrogen-bond type interactions between the –Gly residue and the amino group of the MOF's linker in the 2.5–2.6 Å range are found to stabilize the (benzene)Ru(Gly–Pro) graft in 1, 3 and 4.

Table 2 Energetics of acetophenone in complex with (benzene)Ru@MIL-101-NH-Gly-(L)Pro. Interaction energy differences between the two faces of acetophenone in complex with the catalytic graft, whereby δΔEinter(resi) is calculated in each variant by exposing acetophenone through its re- or its si-face to the catalytic site (see ESI for details)
Variant Configurationa δΔEinter(resi) (kJ mol−1) Expected enantiomer selectivity
a The R (rectus)/S (sinister) notation refers to the configuration adopted along the NPro–CPro–NGly–Ru sequence of asymmetric atoms. The S configuration of the asymmetric carbon of the (L)Pro is noted in bold.
1 SSRS −15.7 S > R
2 SSSS −3.0 R, S
3 RSRR −18.1 S > R
4 RSSR −1.6 R, S

Evaluation of the pro-chiral substrate's approach

As a proof-of-concept, we speculated here that the confinement of the catalytic graft into the MOF has further impact with respect to the ATH reaction and promote the stereospecific recognition of a prochiral substrate through the differentiation of its re- and si-faces. To test this hypothesis, we performed a detailed computational investigation of host–guest interactions between acetophenone, the prochiral ATH substrate, and the (benzene)Ru@MIL-101-NH-Gly-(L)Pro host.

In ATH reaction, the enantioselectivity of Noyori-type RuII6-arene) molecular complexes is known to build upon a molecular recognition process whereby differently stabilized transition states (TS) are formed upon exposing the prochiral substrate to the Ru-center through its si- or its re-face, favouring the formation of the R product over S due to the formation of stabilizing C–H⋯π interactions in the Pro-R complex (Fig. 3c and S3).39 Considering here the very large size of the systems of interest – which precludes calculations of TS – we rather considered the adsorption step of acetophenone in the (benzene)Ru@MIL-101-NH-Gly-Pro host.

The potential enantioselectivity of the host for ATH was computationally assessed through a comparison of the affinity of each variant for acetophenone at the Ru catalytic center, as follows. All {(benzene)Ru@MIL-101-NH-Gly-(L)Pro, C6H5COCH3} host–guest complexes were fully optimized at the DFT-D3 level, whereby acetophenone was exposed to the (benzene)Ru(Gly–Pro) catalytic site in each variant 1–4 through its re-face and its si-face. Host–guest interaction energies, expressed as ΔEinter(re) and ΔEinter(si), were computed through single-point calculations (ΔEinter(re) = E{host,guest-re}E{host}E{guest}). The difference in interaction energy associated to each variant, δΔEinter(resi) = ΔEinter(re) − ΔEinter(si), provided an estimate of the relative affinity for both faces. Again, all DFT calculations were performed on the large finite-size models (ca. 700 atoms) of each variant so that the environment around the catalytic site beyond the second coordination sphere was taken into account. Computed affinity differences are summarized in Table 2. Detailed comparisons between the re-face and si-face complexes are given in Table S1 and Fig. 4, S7–S9 (see also ESI, Section 1.3.2).

image file: d0sc03364b-f4.tif
Fig. 4 Variant 3 of (benzene)Ru@MIL-101-NH-Gly-(L)Pro in complex with acetophenone computed at the DFT-D3 level. Details of acetophenone exposing its re-face (a) and its si-face (b) to the catalytic site. Enhanced interactions at the re-face with respect to the si-face emanate from a shorter C(C[double bond, length as m-dash]O)⋯HRu distance (2.7 Å vs. 3.2 Å) and tighter second-coordination sphere interactions. At the re-face, the substrate is also stabilized through π(substrate)⋯CHPro while its methyl group interacts with the MOF linker through CH3(substrate)⋯NH2(bdc) and CH3(substrate)⋯π (bdc) interactions. Such lateral stabilization cannot occur in the si-face complex. Instead, CH(substrate)⋯π(bdc) interactions (2.9 Å) with the MOF's linker drift the substrate's C[double bond, length as m-dash]O bond away from the catalytic Ru center, resulting in a longer C(C[double bond, length as m-dash]O)⋯HRu distance of 3.2 Å. Color code: Al (green), Ru (orange), Cl (pale green), N (blue), O (red), C (grey), H (white). The H atoms involved in ATH are highlighted in yellow, with the two interactions C(C[double bond, length as m-dash]O)⋯HRu and O(C[double bond, length as m-dash]O)⋯HPro required for ATH highlighted with dashed lines.

Interestingly, the DFT calculations show pronounced affinity differences, δΔEinter(resi), in variants 1 and 3, whereby the re-face of acetophenone is favoured over its si-face by −15.7 and −18.1 kJ mol−1, respectively. The two other variants do not exhibit such marked interaction energy differences, suggesting similar affinities for both faces of the pro-chiral substrate. The favoured interaction of the substrate's re-face with respect to its si-face in 1 and 3 implies that a molecular recognition of acetophenone may be at play in (benzene)Ru@MIL-101-NH-Gly-(L)Pro. The case of acetophenone in complex with 3 is particularly illustrative (Fig. 4 and Table S1). The marked preference of 3 for the re-face of the substrate originates from the much shorter C(C[double bond, length as m-dash]O)⋯HRu distance (2.7 Å), hence stronger interactions, than at the si-face (3.2 Å). It is overall apparent that the first coordination sphere around the substrate, formed by the protic and hydridic hydrogens of the (benzene)Ru(Gly–Pro) catalytic graft (highlighted in yellow in Fig. 4), allows recognition features of the two faces of acetophenone (see Fig. S7–S9 for 1, 2 and 4 respectively). The pronounced preference for the re-face of acetophenone in 1 and 3 prompted us to further analyze host–guest interactions that are more distant to the substrate.

Beyond the first coordination sphere, a series of lateral π-type interactions stabilize acetophenone in all 1–4 variants (Table S1). They consist in CH/π and NH2/π interactions within 2.7–3.3 Å between the substrate's aromatic ring and either the (benzene)Ru moiety or the aromatic linker of the MOF. These interactions occur in a systematic fashion (Table S1), however with distinctive features between the si- and re-face complexes. Remarkably, acetophenone in complex in 1 (Fig. S7) and 3 (Fig. 4) displays a tighter lateral stabilization at the re-face than at the si-face, in line with the higher affinity differences, δΔEinter(resi), mentioned above. Both the (benzene)Ru(Gly–Pro) graft and the MOF's linker play a key role, which is particularly illustrative in 3 (Fig. 4). The re-face of acetophenone in 3 is stabilized by multiple CH/π interactions with the catalytic graft, i.e. π(substrate)⋯HCH(Pro) and π(substrate)⋯H(benzene-Ru), in addition to interactions with the MOF's linker, i.e. CH3(substrate)⋯NH2(bdc) and CH3(substrate)⋯π(bdc) (Fig. 4a). These features contrast with the fewer ones taking place at the si-face (Fig. 4b). Notably, at the si-face the substrate is attracted towards the MOF's linker through CH(substrate)⋯π(bdc) interactions, which contribute to pull the C[double bond, length as m-dash]O group away from the catalytic site. This results in a much longer C[double bond, length as m-dash]O⋯HRu distance (3.2 Å) than in the re complex (2.6 Å), with a potential detrimental impact on the occurrence of ATH reaction at the si-face. Conversely, such distinctive features are not observed in 2 or 4, in line with the absence of marked affinity differences, δΔEinter(resi), as noted above. Accordingly, the analysis of host–guest interactions provides an atomic-scale understanding for the pronounced face differentiation of the prochiral substrate in (benzene)Ru@MIL-101-NH-Gly-(L)Pro catalyst in favour of its re-face. They provide a rational basis for the likely favoured formation of S-alcohol over that of R-alcohol (Table 2).

It is worth highlighting here that the above CH/π lateral host–guest interactions are reminiscent of those reported in RuII6-arene) Noyori's type molecular catalysts for ATH of α-aryl ketones. Theoretical studies have revealed that the enantioselectivity of such complexes for ATH originates not only from the geometry of the chelate ring formed by the {catalyst, substrate} complex (Fig. S3) but also from CH/π attractive lateral interactions between CH(η6-benzene) and phenyl C(sp2) atoms of the aromatic substrate. The latter favours a spatially congested transition state occurring only with one specific face of the prochiral substrate.39–42

The stereoselectivity revealed here is specifically dependent of the MIL-101 macroligand's structure supporting the Ru-molecular catalyst, and does not have equivalent in any homogeneous systems reported so far.

When compared to Ru(η6-arene) molecular catalysts, the (benzene)Ru@MIL-101-NH-Gly-(L)Pro solid provides peripheral stabilization of the prochiral substrate, whereby both the MOF's linker and the dipeptide graft are involved and allow the differentiation of the two faces of acetophenone.

We thus speculate that the face differentiation of the prochiral ketone in (benzene)Ru@MIL-101-NH-Gly-(L)Pro or in (benzene)Ru@MIL-101-NH-Gly-(D)Pro catalyst for ATH reaction originates not only from the local chirality of the hosted ruthenium catalyst but also from the MOF macroligand itself. We have verified the computational equivalence of the DFT results regarding the (D)Pro-containing host whereby a reversed stereoselectivity is predicted. We anticipate that the face differentiation in (benzene)Ru@MIL-101-NH-Gly-(D)Pro lead to a reversed enantioselectivity in the ATH reaction of acetophenone in favour of the R-alcohol product. The correlation between the proline's configuration (with its R or S carbon) and that of the favoured product (S or R, respectively) in ATH is indeed established and perfectly in line with the experimental results.

Although calculations omit solvent and solvated ionic species, such as counter anions that are present in the real catalytic medium, our experimental assessments are validating the DFT calculations which predict a reversed enantioselectivity of the molecular catalyst (benzene)Ru(L2) when compared to its MOF-supported counterpart (Fig. S25, S26, Table S1 and Section 5.4 in ESI). Altogether, these results suggest that the inversion of enantioselectivity between the homogeneous and heterogeneous catalysts most likely arises from the steric constraints imposed by the confinement of the chiral catalyst within the MOF's pore. As identified at the DFT level, the latter plays a key role in allowing, amongst others, stereoselective CH/π host–guest interactions with the prochiral acetophenone substrate, in favor of its complexation at the re-face in the (L)proline-containing catalyst. Such lateral stabilization cannot occur in the molecular catalyst (benzene)Ru(L2) whereby the si-face complex and the related R-alcohol product are favored.

Computations show that subtle host–guest interactions are at play in the (benzene)Ru@MIL-101-NH-Gly-(L)Pro catalyst whereby the differentiation of the substrate's faces at the adsorption step allows predicting the favored formation of the R product, in full agreement with the experimental observations. The very low selectivity of the molecular prolinamide catalyst might arise from the weak constraints of the chiral ligand on the substrate, in which the selectivity relies on the sole CH/π interactions (Noyori-type) between the (arene)ruthenium and the ketone. In contrast, the host–guest interactions imposed by the MOF framework around the catalytic graft – involving its aromatic bdc linker and the proline – induce specific substrate positioning at the origin of the superior enantioselectivity of the MOF-supported (benzene)Ru(Gly–Pro) catalyst.


In conclusion, the Gly–Pro functionalization of the MIL-101, used as a macroligand to heterogenize a chiral Noyori type Ru-based molecular catalyst, was found to promote enantioselectivity in the asymmetric transfer hydrogenation of acetophenone to phenylethanol. When compared to its homogenous molecular analogue, the chiral ruthenium complex confined within the MOF macroligand allows a threefold enhanced and reversed selectivity in the production of phenylethanol. Furthermore, we successfully addressed the challenge of computationally generating a series of large hybrid MOF structures embedding flexible chiral peptide graft as ligand for organometallics. The systematic computational evaluation unveiled how host–guest interactions within the MOF and beyond the first coordination sphere of the ruthenium are at the origin of the face-differentiation of acetophenone favouring its re-face approach over its si-face, when using (L)-proline, successfully modelling an excess of the S-alcohol over Ru-catalyzed ATH reaction.

The excellent match between the predicted outcomes and the experimentally obtained enantiomeric excess provides a robust atomic-level rationale for the observed products selectivity. The combined computational and experimental findings highlight the crucial role of the MOF as both a macroligand and a supramolecular scaffold to promote the enantioselectivity of the ruthenium chiral catalyst. More generally, the ability to provide molecular-level rationale of structure–reactivity relationship in heterogeneous asymmetric transformation at the solid's interface within multifunctional porous hybrids opens new routes to develop predictive frameworks in the design of heterogeneous catalysts.

Conflicts of interest

There are no conflicts to declare.


The authors thank the ANR project POMAC (ANR-18-CE07-0025-01) for funding and are very grateful to the IRCELYON scientific services and the Fondation de l'Orangerie at the Collège de France. The calculations were performed using the HPC resources from GENCI (CINES/TGCC/IDRIS) through the grant 2018-097343 and 2019-097343.

Notes and references

  1. L. A. Nguyen, H. He and C. Pham-Huy, Int. J. Biomed. Sci., 2006, 2, 85–100 CAS .
  2. H.-U. Blaser and E. Schmidt, in Asymmetric Catalysis on Industrial Scale, John Wiley & Sons, Ltd, 2004, pp. 1–19 Search PubMed .
  3. M. Heitbaum, F. Glorius and I. Escher, Angew. Chem., Int. Ed., 2006, 45, 4732–4762 CrossRef CAS PubMed .
  4. E. Baráth, Synthesis, 2020, 52, 504–520 CrossRef .
  5. A. T. F. Batista, W. Baaziz, A.-L. Taleb, J. Chaniot, M. Moreaud, C. Legens, A. Aguilar-Tapia, O. Proux, J.-L. Hazemann, F. Diehl, C. Chizallet, A.-S. Gay, O. Ersen and P. Raybaud, ACS Catal., 2020, 10, 4193–4204 CrossRef CAS .
  6. P. Raybaud, C. Chizallet, C. Mager-Maury, M. Digne, H. Toulhoat and P. Sautet, J. Catal., 2013, 308, 328–340 CrossRef CAS .
  7. A. A. Latimer, A. R. Kulkarni, H. Aljama, J. H. Montoya, J. S. Yoo, C. Tsai, F. Abild-Pedersen, F. Studt and J. K. Norskov, Nat. Mater., 2017, 16, 225–229 CrossRef CAS PubMed .
  8. Z. W. Seh, J. Kibsgaard, C. F. Dickens, I. B. Chorkendorff, J. K. Norskov and T. F. Jaramillo, Science, 2017, 355, eaad4998 CrossRef PubMed .
  9. J. Ye and J. K. Johnson, ACS Catal., 2015, 5, 2921–2928 CrossRef CAS .
  10. V. Bernales, A. B. League, Z. Li, N. M. Schweitzer, A. W. Peters, R. K. Carlson, J. T. Hupp, C. J. Cramer, O. K. Farha and L. Gagliardi, J. Phys. Chem. C, 2016, 120, 23576–23583 CrossRef CAS .
  11. J. Ye, L. Gagliardi, C. J. Cramer and D. G. Truhlar, J. Catal., 2018, 360, 160–167 CrossRef CAS .
  12. M. Barona, S. Ahn, W. Morris, W. Hoover, J. M. Notestein, O. K. Farha and R. Q. Snurr, ACS Catal., 2020, 10, 1460–1469 CrossRef CAS .
  13. J. G. Vitillo, A. Bhan, C. J. Cramer, C. C. Lu and L. Gagliardi, ACS Catal., 2019, 9, 2870–2879 CrossRef CAS .
  14. J. P. Reid and M. S. Sigman, Nat. Rev. Chem., 2018, 2, 290 CrossRef CAS .
  15. A. R. Rosales, J. Wahlers, E. Limé, R. E. Meadows, K. W. Leslie, R. Savin, F. Bell, E. Hansen, P. Helquist, R. H. Munday, O. Wiest and P.-O. Norrby, Nat. Catal., 2019, 2, 41 CrossRef CAS .
  16. M. Hartmann and M. Fischer, Microporous Mesoporous Mater., 2012, 164, 38–43 CrossRef CAS .
  17. G. Ferey, C. Mellot-Draznieks, C. Serre, F. Millange, J. Dutour, S. Surble and I. Margiolaki, Science, 2005, 309, 2040–2042 CrossRef CAS PubMed .
  18. G. Férey, C. Mellot-Draznieks, C. Serre and F. Millange, Acc. Chem. Res., 2005, 38, 217–225 CrossRef PubMed .
  19. J. Canivet, S. Aguado, Y. Schuurman and D. Farrusseng, J. Am. Chem. Soc., 2013, 135, 4195–4198 CrossRef CAS PubMed .
  20. J. Canivet, S. Aguado, G. Bergeret and D. Farrusseng, Chem. Commun., 2011, 47, 11650–11652 RSC .
  21. J. Bonnefoy, A. Legrand, E. A. Quadrelli, J. Canivet and D. Farrusseng, J. Am. Chem. Soc., 2015, 9409–9416 CrossRef CAS PubMed .
  22. T. K. Todorova, X. Rozanska, C. Gervais, A. Legrand, L. N. Ho, P. Berruyer, A. Lesage, L. Emsley, D. Farrusseng, J. Canivet and C. Mellot-Draznieks, Chem.–Eur. J., 2016, 22, 16531–16538 CrossRef CAS PubMed .
  23. J. W. Faller and A. R. Lavoie, Organometallics, 2001, 20, 5245–5247 CrossRef CAS .
  24. M. Boukachabia, S. Zeror, J. Collin, J. C. Fiaud and L. A. Zouioueche, Tetrahedron Lett., 2011, 52, 1485–1489 CrossRef CAS .
  25. S. Denizalti, D. Mercan, B. Sen, A. G. Gokce and B. Cetinkaya, J. Organomet. Chem., 2015, 779, 62–66 CrossRef CAS .
  26. J. M. Thomas and R. Raja, Acc. Chem. Res., 2008, 41, 708–720 CrossRef CAS PubMed .
  27. A. Karmakar and A. J. L. Pombeiro, Coord. Chem. Rev., 2019, 395, 86–129 CrossRef CAS .
  28. F. Ciardelli, E. Tsuchida and D. Wöhrle, Macromolecule-Metal Complexes, Springer-Verlag, Berlin Heidelberg, 1996 Search PubMed .
  29. F. M. Wisser, P. Berruyer, L. Cardenas, Y. Mohr, E. A. Quadrelli, A. Lesage, D. Farrusseng and J. Canivet, ACS Catal., 2018, 8, 1653–1661 CrossRef CAS .
  30. F. M. Wisser, Y. Mohr, E. A. Quadrelli and J. Canivet, ChemCatChem, 2020, 12, 1270–1275 CrossRef CAS .
  31. J. Canivet and G. Suss-Fink, Green Chem., 2007, 9, 391–397 RSC .
  32. M. Stebler-Roethlisberger, W. Hummel, P. A. Pittet, H. B. Buergi, A. Ludi and A. E. Merbach, Inorg. Chem., 1988, 27, 1358–1363 CrossRef CAS .
  33. H. Y. Rhyoo, Y. A. Yoon, H. J. Park and Y. K. Chung, Tetrahedron Lett., 2001, 42, 5045–5048 CrossRef CAS .
  34. D. Zhao, T. M. Neubauer and B. L. Feringa, Nat. Commun., 2015, 6, 6652 CrossRef CAS PubMed .
  35. S. Nießing, C. Czekelius and C. Janiak, Catal. Commun., 2017, 95, 12–15 CrossRef .
  36. C. Kutzscher, G. Nickerl, I. Senkovska, V. Bon and S. Kaskel, Chem. Mater., 2016, 28, 2573–2580 CrossRef CAS .
  37. R. Noyori and S. Hashiguchi, Acc. Chem. Res., 1997, 30, 97–102 CrossRef CAS .
  38. B. Therrien, Coord. Chem. Rev., 2009, 253, 493–519 CrossRef CAS .
  39. M. Yamakawa, I. Yamada and R. Noyori, Angew. Chem., Int. Ed., 2001, 40, 2818–2821 CrossRef CAS PubMed .
  40. R. Noyori and T. Ohkuma, Angew. Chem., Int. Ed., 2001, 40, 40–73 CrossRef CAS PubMed .
  41. M. Yamakawa, H. Ito and R. Noyori, J. Am. Chem. Soc., 2000, 122, 1466–1478 CrossRef CAS .
  42. M. Nishio, M. Hirota and Y. Umezawa, The CH-Pi Interaction: Evidence, Nature, and Consequences, Wiley-VCH, New York, 1 edn, 1998 Search PubMed .


Electronic supplementary information (ESI) available: Computational methods, materials synthesis and characterizations, catalysis. See DOI: 10.1039/d0sc03364b

This journal is © The Royal Society of Chemistry 2020