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Unravelling stereoisomerism in acid catalysed lignin conversion: an integration of experimental trends and theoretical evaluations

Zhenlei Zhang a, Susanna Monti b, Giovanni Barcaro *c, Ciaran W. Lahive a and Peter J. Deuss *a
aDepartment of Chemical Engineering (ENTEG), University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands. E-mail: p.j.deuss@rug.nl; giovanni.barcaro@cnr.it
bCNR-ICCOM – Institute of Chemistry of Organometallic Compounds, 56124 Pisa, Italy
cCNR-IPCF – Institute for Chemical and Physical Processes, 56124 Pisa, Italy

Received 9th May 2022 , Accepted 28th July 2022

First published on 9th August 2022


Abstract

For the effective valorization of lignin, which is a significant component in agricultural residues, its reactivity needs to be understood in detail. Selective acid-catalysed depolymerisation of the lignin β-O-4 linking motif with stabilization of the formed aldehydes by diols is a promising approach to obtain phenolic monomers in high yields. However, the lignin β-O-4 linking motif exists in both the erythro and threo isomeric forms, and very little information is available on the influence of stereochemistry on the efficiency of the lignin diol-stabilised acidolysis. This is especially true for the set of intermediates in which the presence of stereochemistry persists. In this study, the stereoisomer ratios of two key intermediates, namely the diol (here ethylene glycol) adducts and C2-vinyl ethers, are monitored carefully in ytterbium(III) trifluoromethanesulfonate [Yb(OTf)3]-catalysed conversion of an erythro β-O-4 model compound. The reactions showed the preferential formation and consumption of the ethylene glycol adduct in the erythro configuration, and the favored formation of trans C2-vinyl ether. Multiscale computational methods (including classical reactive molecular dynamics simulations and quantum chemistry calculations) were applied to elucidate the catalytic origins of the observed stereo-preferences and suggested that a proto-trans intermediate complex is stabilised by a hydrogen bond network connecting the carbocation, ethylene glycol, and the anionic [OTf]− species. The synergistic combination of experiments and computational studies disclosed the stereo-preference and the underlying mechanism in triflate-catalysed acidolysis, especially the catalytic role of [OTf]−, which can be helpful for a further improvement of the chemical process.


Introduction

Lignin, which is mainly burned for energy, is increasingly recognised as a potential sustainable source for aromatic chemicals.1–4 The cleavage of the most abundant β-O-4 linking motif to aromatic monomers can readily be achieved by acidolysis or acid-catalysed degradation with various mineral acids, which is a methodology that has been traditionally used for the structural elucidation of lignin.5–8 Two β-O-4 cleavage pathways have been recognised (i.e., C3 and C2 cleavage pathways), which differ by the loss of the γ-carbinol group. The pathways are dictated primarily by the type of acid applied (Scheme 1).9 The C3 cleavage pathway of the β-O-4 linkage, for example, catalysed by HCl or HBr, yields a mixture of C3-ketones known as Hibbert ketones,10–14 while C2-aldehydes and formaldehyde are generated through the C2 cleavage pathway catalysed, for example, by H2SO4 or HOTf. This is a distinction that is poorly understood.15,16 The obtained cleavage products such as ketones and aldehydes as well as the carbocation intermediate are prone to undergo condensation, thus reducing the final monomer yields.17,18 The addition of alcohol,19 or even better a diol (in this study, ethylene glycol (EG)),20 is shown to be an effective solution to extensively prevent carbon balance losses caused by intermediate and product condensation. Under the acidolysis conditions, the carbocation can be stabilised, and reactive aldehydes can be trapped in situ by EG (Scheme 2).21,22 Recent kinetic studies using Yb(OTf)3 on β-O-4 model compounds allowed us to establish a detailed reaction network incorporating two key reaction intermediates: EG adducts and C2 vinyl ethers. In the identified reaction network, the vinyl ether is found to be generated from both EG adducts and β-O-4 linking motif, although the latter route has higher activation energy.23 Yb(OTf)3 as well as other metal triflates (e.g., Zn(OTf)2, Al(OTf)3, Cu(OTf)2), was much easier and less hazardous to handle compared to fuming and corrosive superacid HOTf (which delivers much faster reaction rate due to its super acidity). Several advantages24 of using metal triflates, instead of triflic acid, have also been summarized: (1) better solubility of metal triflates, thus much more precise loading control since solubilising triflic acid in an apolar solvent cannot be readily achieved, especially in small-scale experiments.25 (2) Better catalytic performance of metal triflates than triflic acid due to a significant decrease of side reactions or product decomposition caused by direct usage of triflic acid.26 With metal triflates small amounts of HOTf are formed in situ to catalyse the reaction,24,27 therefore, these triflates-catalysed lignin acidolysis actually follow the same reaction paths (i.e., C2 cleavage pathway).23,28 Cations with different atom radium have different hydrolysis (as well as ethylene glycolysis) constants.29 This can result in the different formation rate of HOTf,24 which affects the final e.g., acidolysis reaction rate.23 The metal triflate-catalysed diol-stabilised acidolysis methodology has been extended to organosolv pine lignin using Fe(OTf)3, where it allowed for up to 35.5 wt% of C2-acetal products.30 Moreover, related lignin-first mild fractionation strategies ccatalysed by H2SO4 (which also catalyses lignin acidolysis in C2 pathway) were developed accordingly, yielding stabilised lignin in which ethylene glycol or other types of diols were incorporated.22,31–33
image file: d2gc01740g-s1.tif
Scheme 1 The C2 and C3 acidolysis pathways go through the same benzylic carbocation intermediate but yield different subsequent vinyl ether intermediates and final cleavage products.

image file: d2gc01740g-s2.tif
Scheme 2 The C2 cleavage pathway of the β-O-4 linkage motif under the diol-stabilised Yb(OTf)3-catalysed conditions. In this study, ethylene glycol is used.

The β-O-4 linking motif has two chiral carbon centers (at the α and β carbons, respectively), thus allowing for four stereoisomers (shown in Fig. 1). These four stereoisomers can be categorised into erythro and threo configurations (the four stereoisomers and their associated nomenclatures used in literature are summarized in Fig. 1).34 Their relevant amounts differ in softwood (nearly equal distributions of β-O-4 linking motif in the erythro and threo configurations) and hardwood (β-O-4 linking motif in erythro configuration prevails).35–37 It has been shown that erythro and threo configurations of the β-O-4 linking motif can dramatically influence the spatial geometry conformation of lignin chains, thus leading to differences in reactivity upon depolymerisation.38–42 For example, under the alkaline pulping conditions, the β-O-4 model in the erythro form was more reactive than its threo isomer (i.e., 2–8 times faster depending on the aromatic substitution pattern).43,44 As a result, at alkaline pulping conditions, the erythro-enriched hardwood exhibited a higher delignification efficiency than softwood. In addition, the oxidative degradation of lignin showed a stereo-preference: β-O-4 models with threo configuration were more reactive under specific reaction conditions, although catalyst types and reaction conditions (e.g., pH) could result in alternating preference or lack of preference.45–49 Therefore, understanding the relevant differences in lignin reactivity due to the occurrence of different isomeric structures will contribute to more efficient and sustainable process design, e.g., by choosing a reasonable lignin source with desired structures. In addition, it could provide valuable information such as biotechnologically modifications of lignin to reduce lignin recalcitrance and promote biobased chemicals production from lignin.50


image file: d2gc01740g-f1.tif
Fig. 1 Fischer projections of erythro and threo C3 β-O-4 model compounds and their corresponding absolute configuration. Sometimes erythro and threo isomers are referred as anti and syn isomers, respectively.

Regarding diol-stabilised acidolysis, the isomeric ratios for the two key intermediates (erythro and threo for the EG adduct, trans and cis for the C2-vinyl ether) can potentially have significant influences on reaction pathways and rates. As far as we know, no data is currently available on the stereo-preference and its origin in the conversion of β-O-4 and intermediate under acidic conditions in the presence of alcohols, while such conditions are also relevant to typical organosolv extraction. This is likely due to the fast reaction rates and the relative instability of intermediates and products, which makes detailed characterization of them difficult. In this study, the acidolysis catalyst (Yb(OTf)3), one of the several triflate salts that are effective for acidolysis in various studies,23,28,51,52 was used to convert the β-O-4 motif in the erythro configuration A. This metal triflate can catalyse the diol-stabilised acidolysis of β-O-4 motif slowly without changing reaction pathways (compared with HOTf as catalyst).23 Therefore, it is possible to obtain quantitative profiles of the separate stereoisomers of intermediates, namely, B (the ethylene glycol adducts) in erythro and threo configurations, and I1 (the C2-vinyl ethers) in trans and cis isomeric forms, to elucidate the stereo-preferences during the triflate-catalysed acidolysis of lignin β-O-4 motif (Scheme 3). The mechanism for stereo-preference is elucidated and validated by computational simulations. By using a multiscale/level protocol, which has been successfully applied to investigate the acidolysis mechanisms of lignin model compounds in very similar conditions,20 we investigate crucial intermediate complexes that account for the stereo-preferred conversion of the EG adducts to the C2-vinyl ethers, as well as the catalytic role of the triflate anion to explain the experimental observations. It is worth to mention that, in contrast to Yb(OTf)3 in 1,4-dioxane used here, for the final application of diol-stabilised lignin acidolysis the aim is to use cheaper triflates e.g., Fe(OTf)3 and even other types of acids e.g. H2SO4 that can achieve the same reaction pathway with much faster reaction rate.30,31 The diol-stabilised acidolysis can be performed with H2SO4 in dimethyl carbonate as a much greener solvent (Fig. S1, ESI). However, here the isomers of intermediates are more challenging to monitor due to extremely fast reaction rates and interfering minor side-reactions. Therefore, in this study, Yb(OTf)3 in 1,4-dioxane was used to get insights of the reaction profiles for mechanistic studies (especially the C2 acidolysis pathway).


image file: d2gc01740g-s3.tif
Scheme 3 Primary identified intermediates and products from the C2 cleavage pathway of the β-O-4 model under the diol-stabilised Yb(OTf)3-catalysed condition.

Results and discussion

C3 β-O-4 model acidolysis catalysed by triflates under various reaction conditions with quantification of intermediates under different configurations and conformations

As already mentioned above, using Yb(OTf)3 in 1,4-dioxane we could confidently track the evolution of the intermediate species, viz. EG adducts B and C2-vinyl ethers I1 (see Scheme 2) in the diol-stabilised acidolysis of the C3 β-O-4 model. We identified two stereoisomers for both B and I1, respectively, in the HPLC chromatogram (Fig. S2). The configurations of the two stereoisomers of B, were assigned by applying preparative HPLC to separate the isomers, then followed by NMR identification based on coupling constants from the literature (Jα,β = 7.7 Hz threo and Jα,β = 7.1 Hz erythro, ESI, S2.0).53–56 For I1, a mixture of isomers enriched in the cis conformation was synthesised following the procedure reported by Bolm et al.57 using a C2 lignin β-O-4 model and assigned via their representative coupling constants (transI1Jα,β 12.5 Hz; cisI1Jα,β = 6.8 Hz, details see ESI S2.0). Based on the stereochemistry data of B and I1, we calibrated the different isomers of B and I1 separately to monitor these isomeric mixtures during the cleavage reaction (Fig. 2 shows a time course profile at 120 °C). At 120 °C, the C3 β-O-4 model A (in the erythro configuration) was rapidly consumed within 30 min, while yields of the cleavage products guaiacol G and C2-acetal P1 were continuously increasing to yields of 79% and 54% within 480 min, respectively. The observed yield gap between G and P1 has been discussed in our previous work and, in short, is due to the competing C3 cleavage pathway and condensation reactions, which can be controlled by changing reaction conditions.23 For example, the addition of higher loading of ethylene glycol can improve the carbon balance by increasingly stabilizing the formed reactive carbocation and aldehydes, albeit at the cost of a lower reaction rate. Water content is also important and high amounts are detrimental to the selectivity of P1, likely by promoting the formation C2-aldehyde which tends to undergo the condensation reactions.21,23 Similarly, the reaction condition differences affect the formation and conversion of intermediates (vide infra). Focusing on B (in threo and erythro configuration) and I1 (in trans and cis conformation) in their separate quantification, it was found that the B in the threo configuration had a peak yield of approximately 22% within 20 min, while the erythro isomer peaked at approximately 31% (Fig. 2). Regarding I1, the trans isomer achieved the highest yield of 35% within 90 min, while 24% was the highest yield for the cis isomer.
image file: d2gc01740g-f2.tif
Fig. 2 Evolution of the reaction of the non-phenolic model compound A with 10 mol% Yb(OTf)3, 4 eq. ethylene glycol, in 1,4-dioxane at 120 °C. Yields were obtained via HPLC analysis using 1,2,4,5-tetramethylbenzene as the internal standard (see Scheme 3 for the corresponding chemical structures).

The threo/erythro ratio of B and the trans/cis ratio of I1 were tracked over time during reactions at different temperatures ranging from 80 to 150 °C (Fig. 3 & 4). This revealed some interesting phenomena pointing toward stereospecificity in the lignin β-O-4 acid-catalysed cleavage. At 80 °C, Bthreo/erythro ratio kept stable between 0.5 to 0.6 (Fig. 3a), and at this temperature, B is only formed without conversion. Interestingly when B started being converted (i.e., at temperatures from 90 to 150 °C), Bthreo/erythro ratio steadily increased from approximately 0.5 to 1 or higher (Fig. 3a). The trend in the Bthreo/erythro ratio change is independent of the reaction temperature as clearly demonstrated by plotting the increase of the Bthreo/erythro ratio as a function of the A conversion percentage (Fig. 3b). This may indicate that the transformation of B is kinetically controlled. The plot of the threo/erythro ratio change versus the B yield describes the ratio changes during B's formation-dominant and conversion-dominant stages, respectively (Fig. 3c). Before reaching the highest yield of B (formation-dominant stage), the ratio increased from approximately 0.5 to 0.68 (threo/erythro). Afterward, the ratio showed a rapid increase to the range between 0.9 and 1.3. This observation suggests that erythroB is not only preferably formed but also faster consumed compared to B in threo configuration.


image file: d2gc01740g-f3.tif
Fig. 3 EG adduct Bthreo/erythro ratio changes as a function of (a) time, (b) conversion of the β-O-4 model compound A, (c) EG adducts B yield, showing in light blue for the formation-dominant stage and in gray for the conversion-dominant stage of B. Reaction condition: 10 mol% Yb(OTf)3, 4 eq. ethylene glycol, in 1,4-dioxane at 80–150 °C. Yields were obtained via HPLC analysis using 1,2,4,5-tetramethylbenzene as the internal standard.

image file: d2gc01740g-f4.tif
Fig. 4 The C2-vinyl ether I1trans/cis ratio changes as a function of (a) time, (b) conversion of the β-O-4 model compound A, (c) C2-vinyl ethers I1 yield, showing in gray the formation-dominant stage I1. Reaction condition: 10 mol% Yb(OTf)3, 4 eq. ethylene glycol, in 1,4-dioxane at 90–150 °C. Yields were obtained via HPLC analysis using 1,2,4,5-tetramethylbenzene as an internal standard.

A stereo-preference was also observed for the formation and conversion of I1, respectively. As shown in Fig. 4a, the I1 in the trans conformation was formed preferably, with the trans/cis ratio starting at 1.3 and increasing as a function of time at all temperatures in the range of 90–150 °C. Since the I1 can be derived from B, and cis-I1 was found to be thermodynamically more stable, vide infra, the higher amount of transI1 indicates transI1 is the kinetically favored product. The transI1 was formed in a slightly higher amount than the cisI1 in the data by Yokoyama et al.,15 in the acidolysis of a C3 β-O-4 motif using 0.2 N HCl, HBr, and H2SO4 in 82% aqueous (no EG) at 85 °C, although the maximum yield was <1%. In their study, no B was obtained (as no diol was used in their system), indicating that a similar trans-preference can be present for the reaction of A to I1 as well. In addition, the preferential formation of transI1 was also reported by Bolm et al.58 in the base-catalysed depolymerisation of the C3 β-O-4 motif, although without a detailed explanation. Interestingly, the trans/cis ratios were well distributed around 1.3 before the conversion of A got close to 100% (Fig. 4b). Afterward, the ratio was remarkably increased, suggesting a much higher conversion rate of the cis isomer than the trans isomer. This can also be reflected by plotting the ratio change versus the I1 yield (Fig. 4c). At the accumulating stage of I1, the trans/cis ratio increased only slightly from 1.2 to 1.4, but a dramatic increase up to 2.6 was observed at its conversion stage. This can readily be explained by the expected higher reactivity of the cis-isomer as it has a more accessible C[double bond, length as m-dash]C bond for ethylene glycol or water addition.17,21 In order to see whether the above stereo-preference extends to reactions catalysed by other metal triflate salts, Zn(OTf)2 was used as the acidolysis catalyst. As shown in Fig. S3, very similar stereo-preferences for both B and I1 were observed. In addition, phenolic β-O-4 linking motif, representing an end-group in lignin, showed clear stereo-preferences under the diol-stabilised acidolysis conditions (Fig. S4).

The reaction rate can be manipulated by increasing the catalyst and lowering the EG loading. However, lowering the EG loading also has a negative effect on product selectivity due to the increased formation of condensation products.23 Furthermore, water is unavoidably involved in the reaction, either introduced by the biomass itself or during the dehydration step in the reaction (see Scheme 2). A high water content in acidolysis reactions negatively affects the yield of the final products by promoting side cleavage reactions of I1 to the reactive C2 aldehyde, as well as reverting the acetal P1 back to the same aldehyde under aqueous acidic conditions.23 The Bthreo/erythro ratio was investigated under different reaction conditions (i.e., different EG loading, catalyst loading, and water content). In terms of the effect of EG loading, mainly differences in changing rate of threo/erythro were observed, besides a higher peak ratio of threo/erythro was observed at lower EG loading (Fig. 5a). This could be due to a change in the thermodynamic stability of the isomers induced by the solvent environment or changes due to the kinetics of the equilibrium between A and B in relation to the conversion of B to I1 and side products. The increase of catalyst loading from 2.5 to 20 mol% had nearly no effect on the peak threo/erythro ratio, though it accelerated the ratio changing rate following the increased reaction rate (Fig. 5b). It was found that an increase in water decreased the acidolysis rate by slowing down the carbocation formation rate.23 Thus, the formation and conversion rates of B were decreased resulting in a slower change rate of the threo/erythro ratio at higher water content (Fig. 5c). It is apparent that the threo/erythro ratio starts from approximately 0.5 then increases over time despite the change of EG, catalyst, and water loading, showing that erythroB remains the preferred product under all these conditions. The I1trans/cis ratio fluctuated more under different conditions (Fig. 6). Interestingly, the I1trans/cis ratio started >1 under 2, 4, and 8 eq. of EG, while the initial ratio was <1 at 16 eq. of EG (Fig. 6a). This suggests a slight alternation of the preference of the formation of I1 based on the EG content. The difference in catalyst loading resulted in no alternation and still gave trans/cis ratio >1 (Fig. 6b). Similar to the effect of increasing EG content, the higher water content in reaction made the preferential formation of transI1 less obvious. For example, the initial trans/cis ratio was approximately 1 at a very high water content of 11[thin space (1/6-em)]209 ppm (Fig. 6c). This can be an effect of changes to the solvent environment affecting the relative thermodynamic stability of the isomers. Alternatively, reaction kinetics are affected and the transcis isomerization reaction of I1 is relatively promoted at high water and ethylene glycol levels compared to other reaction steps. The selectivity of the reaction is known to be significantly affected due to alternative reaction pathways as previously shown.23 Indeed, under high water or EG loading, the reaction rate was lowered: the high water content was detrimental to the P1 selectivity by promoting I1 cleavage to C2-aldehyde, while the high EG content (enhancing reactive intermediates stabilization) was beneficial for selective depolymerisation.23


image file: d2gc01740g-f5.tif
Fig. 5 The change of threo/erythro ratio of EG adducts B along time under different (a) EG loading, (b) catalyst loading, (c) water content. Reaction condition with different EG loading: 10 mol% Yb(OTf)3, in dry 1,4-dioxane, at 130 °C. Reaction condition with different catalyst loading: 4 eq. EG, in dry 1,4-dioxane, at 130 °C. Reaction condition with different water content: 10 mol% Yb(OTf)3, 4 eq. EG, in dry, at 130 °C. Yields were obtained via HPLC analysis using 1,2,4,5-tetramethylbenzene as the internal standard.

image file: d2gc01740g-f6.tif
Fig. 6 The change of trans/cis ratio of vinyl ethers I1 along time under different (a) EG loading, (b) catalyst loading, (c) water content. Yields obtained via HPLC analysis using 1,2,4,5-tetramethylbenzene as the internal standard. Reaction condition with different EG loading: 10 mol% Yb(OTf)3, in dry 1,4-dioxane, at 130 °C. Reaction condition with different catalyst loading: 4 eq. EG, in dry 1,4-dioxane, at 130 °C. Reaction condition with different water content: 10 mol% Yb(OTf)3, 4 eq. EG, in dry, at 130 °C.

In summary, stereo-preferences for the formation and conversion of intermediates B and I1 were obtained upon the triflate-catalysed diol (EG)-stabilised acidolysis. In terms of B, its erythro configuration was preferably formed and converted almost regardless of the reaction conditions. The formation of transI1 was favored, although only when the EG and water content were not too high; its cis counterpart was preferably consumed. However, the catalytic origin of the observed stereo-preferences, and whether these preferences are controlled kinetically or thermodynamically, remains unanswered.

Elucidation of the reaction mechanism leading to the stereo-preferred formation and conversion of EG adducts B and C2-vinyl ethers I1via ReaxFF-molecular dynamics and DFT-NEB calculations

These observed results were investigated further by computational methodologies with an aim to find their mechanistic origins considering molecular models at the atomic scale. Obtaining of the representative structures of different isomers is of vital importance to perform accurate simulations. Possible molecular conformations were characterized, and dynamics/reactivity of the different species during the multiple stages of the reactions were disclosed. Through the conformational search of the intermediates B and I1, 170 conformers for B in threo and erythro configurations and 100 structures for I1 in cis and trans conformations were identified. These were grouped and selected for DFT optimisation to extract the stereoisomers with the lowest energies, which included four stereoisomers of B and two stereoisomers of I1 (Fig. 7 and Fig. S6–S8). The minimum energy structure of B in erythro configuration is approximately 2 kcal mol−1 more stable than the one in the threo configuration, which means that the B in the erythro configuration is thermodynamically more stable (Table S1). Considering that the threo/erythro ratio of B starts at 0.5 under different reaction conditions, this is in line with the preferential formation of erythroB. The structure optimisation results suggest a thermodynamically controlled step for the formation of B from the carbocation originated by the dehydration of A (Scheme 2). Regarding I1, the cis conformation was thermodynamically more stable than the trans (also approximately 2 kcal mol−1 difference). Experimentally, transI1 had a higher yield than the cisI1 showing that this step is not under thermodynamic control. Additionally, B in the erythro configuration was consumed faster. The reaction mechanism leading to the experimental stereo-preference observation (i.e., from erythroB to transI1) was further explored through RMD and DFT-NEB calculations. The release of Brønsted acids from metal salts with weakly coordinating anions readily occurs.29 Recent studies reveal that the active species of metal triflates for various reactions is triflic acid.24,27 Traces of triflic acid are readily generated in situ under the reaction conditions using metal triflate salts. Therefore, triflic acid was used in the simulation as the catalyst. The triflate anion is acknowledged as a weak base, but recent reviews demonstrate that the triflate anion can be directly involved in different reactions.59 The formed triflate types counter ions can facilitate proton shuttling, analogous to hydrogensulfate counter ions.17,21,28,60–62 Examining the sulfur–oxygen pair distribution functions displayed in Fig. 8a indicates that triflic acid molecules are mainly located near O3, O4, and O5 and closer to O3 of the β-O-4 motif. The inspection of the dynamics of the O3 and O4 side chains, which is reflected in the distance distribution plots shown in Fig. 8b, reveals that O3 essentially preserved its positions, whereas O4 showed the tendency to adopt many different conformations in response to the local environment. Indeed, this longer side chain can freely fluctuate in solution. The spatial distribution functions (SDFs) shown in Fig. 9 confirmed the trend of the S–O distance distribution, suggesting again that the most probable acid binding sites are those close to O3 far from the aromatic rings.
image file: d2gc01740g-f7.tif
Fig. 7 Ball and stick representation of the minimum energy structures of the B and I1 intermediates singled out via computational CS searches. Carbon atoms in cyan, oxygen in red, and hydrogen in white.

image file: d2gc01740g-f8.tif
Fig. 8 (a) Distance distribution functions of the sulfur atom of triflic acid from the oxygen atoms of the erythro EG adduct B (absolute configuration in αRS). (b) Distributions of the interatomic distances of the erythro EG adduct B (in αRS configuration) oxygen atoms.

image file: d2gc01740g-f9.tif
Fig. 9 (a) Snapshots selected for the NEB simulations. (b) Spatial distribution functions representing the most probable positions of triflic acid molecules (yellow contours) around the erythro EG adduct B. The last 2000 configurations of erythro EG adduct B have been superimposed on the average structure and displayed as vdW spheres inside the density contour plot of the erythro EG adduct B (grey wireframe) to give an idea of the various orientations/configurations of the molecule. The closest solvent molecules are also shown (sticks). Carbon atoms cyan, oxygen red, hydrogen white, sulfur yellow, and fluorine green.

The formation mechanism of C2-acetal P1 from C2-vinyl ethers I1 has been exhaustively investigated in an earlier study;21 thus here, the mechanism leading to the favored transformation from erythroB to transI1 is clarified by checking the abundance of stereoisomers. In the traditional lignin acidolysis reaction, distinct from HCl or HBr catalysed lignin acidolysis (C3 acidolysis pathway), the triflic acid- (metal triflates-) and sulfuric acid-catalysed lignin acidolysis undergoes the C2 cleavage pathway. To illustrate this, the acidolysis was firstly run for 90 min catalysed by HCl, after which Yb(OTf)3 was added (Fig. S5). Clearly, we could observe that the C2 pathway was activated after the addition of Yb(OTf)3, while there is nearly no acidolysis reaction in the first 90 min with HCl as strong Brønsted acid. Therefore, the anion must play a crucial role in the reaction, so we are particularly interested in understanding its role in governing the reaction mechanisms that result in stereo preferences. Starting from the erythroB shown in Fig. 9a, we simulated the reaction mechanism through NEB calculations. These could provide a qualitative (even semi-quantitative) description of the energy pathway of the reaction mechanism, reproducing the enhanced stability of cisI1 relative to transI1 (of about 1.6 kcal mol−1). The reaction energy profile and mechanism (Fig. 10 and Scheme 4) is driven by proton transfers between triflic acid and the ethylene glycol side-chain (O2) of B, then the proton on the γ-OH (O3) is coordinated to the formed triflate anion releasing formaldehyde and I1. The reaction from erythroB to transI1 can be formally divided into two separate steps. First, protonation of B on the O2 atom by triflic acid leads to the removal of EG via TS1, which interacts via a network of hydrogen bonds with the resulting β-O-4 that has an α-carbocation (CC+), and the anionic triflate species (Fig. 10b and Scheme 4). This stabilised structure, named “intermediate complex”, links the two steps of the reaction.


image file: d2gc01740g-f10.tif
Fig. 10 (a) Reaction energy profile of the erythro EG adduct B with the acid catalyst HOTf leading to the formation of the trans C2-vinyl ether I1 (and an equivalent of EG and formaldehyde), as simulated at the DFT/PBE-D2 level of theory. The path has been divided into two separate steps. Initial, intermediate, and final states are shown together with the structure of the TS (transition states) of the two steps. (b) Structure and configuration of the intermediate complex (CC+, EG adduct, and [OTf]−) highlighting the formation of the three hydrogen bonds responsible for the complex stabilization as ionic pair. Carbon atoms cyan, oxygen red, hydrogen white, sulfur yellow, and fluorine green. A schematic representation can be found in Scheme 4.

image file: d2gc01740g-s4.tif
Scheme 4 Schematic representation of the structural changes according to the energy profile displayed in Fig. 10 involving the reaction mechanism of erythro EG adduct B with the acid catalyst HOTf leading to the formation of trans C2-vinyl ether I1.

The analysis of this intermediate complex via estimation of Mulliken charges reveals that the CC+, and EG carry a total charge of approximately +0.7e balanced by an equal negative charge on the anionic triflate. Deprotonation from the B+ carbocation to the triflate restores the overall neutrality of the fragments, then the transI1 and a formaldehyde molecule were formed via TS2. The barrier of the whole process, which is the sum of the energy difference between the starting B and the intermediate complex (8.5 kcal mol−1) and the energy barrier of the second step, is approximately 32.8 kcal mol−1, in line with the previously published experimental kinetics.23 Such a mechanism reasonably explains the preferred formation of the transI1, regardless of its higher energy relative to the cisI1 isomer. A detailed analysis of the mechanism reveals that the dihedral angle at the formation site of the C[double bond, length as m-dash]C double bond adopts values between 166° and 179°. This confirms the preferential transformation of the erythroB to the transI1via the intermediate complex adopting a proto-trans vinyl ether conformation. As can be deduced from the structures shown in Table S1 and Fig. 7, the (αSR) and (αRS) configurations of B (both are in the erythro configuration) show an analogous spatial arrangement in the active region of the acidolysis (β-O-4 cleavage) process; thus, a similar reactive scenario for B in the (αRS) configuration is highly expected. On the other hand, if we consider the structure of B in the threo configurations, i.e., (αRR) and (αSS), which, analogously, are very similar in the region of the β-O-4 cleavage (as shown in Fig. 7), a competitive path for the formation of I1 was not identified. For B in the threo configuration, in fact, the carbocationic/anionic pair stabilization was not achieved due to the missing network of hydrogen bonds, which, in turn, allows for the stabilization of the intermediate complex of the erythro configurations. The path toward the transI1 is thus kinetically favored by specific stabilizing interactions, which explains the observed higher concentration of transI1 than cisI1 during the formation phase. These calculations also reveal a possible explanation of the influence of the hydrogensulfate and triflate species on the reaction (both can facilitate the C2 pathway over the C3 one). The proton shuttling that occurs over two of the oxygens of these counterions that are spatially separated suggesting that a single counterion can donate and receive protons from different positions of the β-O-4 motif, which can enhance the reverse Prins reaction required for the C2 catalytic pathway. On the other hand, we cannot exclude the EG and water in the reaction function as the final acceptor of the proton transfer. How these are further involved the reaction is the subject of future studies.

Conclusions

In summary, the stereo-preferences in the formation and consumption of two important intermediates were identified during the triflate-catalysed diol (EG)-stabilised acidolysis of the lignin β-O-4 motif by their accurate quantification in the reaction under different temperatures (80–150 °C), catalyst concentration (2.5–20 mol%), ethylene glycol content (2–16 eq.), and water content (1209–11[thin space (1/6-em)]209 ppm). The stereo-preferred formation of the EG adduct B in the erythro configuration from the erythro β-O-4 model compound A is revealed. From B in the erythro configuration, the formation of transI1 is favored. Despite rate differences, the stereo-preferred formation and conversion of erythroB are independent of temperatures, catalyst loading, water, and ethylene glycol content. The stereo-preferred formation of transI1 is more sensitive to extreme conditions (i.e., very high water and ethylene glycol content in the reaction), under which cisI1 becomes slightly preferred to be formed.

The computational simulations elucidated that the formation of B in the erythro configuration is thermodynamically favored. The reaction from B in the erythro configuration to the transI1 is shown to be a kinetically controlled step driven by proton transfers. The computational simulations reveal that the triflate anion plays an important catalytic role by facilitating proton transfers. These consist of two separate steps (i.e., protonation and deprotonation) with an activation energy of 32.8 kcal mol−1. These two steps are linked via an “intermediate complex” stabilised by a network of hydrogen bonds between the anionic [OTf]− species, carbocation, and the release of ethylene glycol. The dihedral angle at the formation site of I1 ends up between 166° and 179°, revealing a proto-trans vinyl ether accounting for the preference for the transI1. In contrast, B in the threo configuration could not lead to an analogous formation of I1 due to the lack of an intermediate complex that is stabilised to a similar extent. To the best of our knowledge, this is the first study that dives into the stereo-preference and its catalytic origins encountered in lignin β-O-4 acidolysis, which is relevant not only for depolymerisation but also for typical lignin fractionation processes under acidic conditions. This study may also provide a basis for understanding the preference of triflate and sulfate-type catalysts for the C2 cleavage pathway over the C3 cleavage pathway, which is essential to steer product selectivity.

Experimental

Materials and experimental procedures

Ytterbium(III) trifluoromethanesulfonate Yb(OTf)3 was obtained from Sigma-Aldrich. Other chemicals supplied by Acros, Sigma-Aldrich, Fisher Chemicals, or Fluorochem were used as received. The 1,4-dioxane utilized in this work was acquired anhydrous under argon and used following standard Schlenk techniques. The model compounds A, B, I1, C2-acetal P1 (Scheme 3) were synthesised according to the published procedures (ESI, S2.0 for details). The typical procedure of running the time course reaction is provided in S3.0, ESI. Analytical procedures for HPLC, preparative HPLC, UPLC-MS, NMR, GC-MS, etc. are provided in the ESI (see S1.0 for details).

Computational methods

Three computational approaches at different levels of theory and scale, namely conformational search (CS) (classical method based on a force field (FF) followed by DFT optimisation – single molecule), reactive molecular dynamics simulations (RMD) (classical method based on a reactive FF – supramolecular system), and nudged elastic band (NEB) calculations (DFT – reduced supramolecular model) were used sequentially to identify the most probable conformations of the intermediates, appropriate arrangements of the molecules during the reaction process in solution, and possible reaction mechanisms with the lowest energy barrier.

The CSs of the B and I1 intermediates were carried out with the Balloon software,63,64 selecting the MMFF94 force field, conformation-dependent electronegativity equalization charges, and a multi-objective genetic algorithm. The identified structures (approximately 170 geometries for B and 100 structures for I1) were optimised at the DFT level using the M06-2X functional and the 6-31G(d) basis set, employing the Gaussian 09 (Revision A.02) package,43 as done in a previous investigation for similar types of lignin derivatives.44 The optimised structures were grouped into families based on the energy difference to the minimum energy conformer determined in each case, considering an energy cutoff of 6 and 1 kcal mol−1 for B and I1 compounds, respectively. Then, all the torsional angles were analyzed to classify the structures (see Fig. S6–S8 and Table S1 for a detailed analysis of the torsional angles).

The RMD simulations were carried out through the Amsterdam Density Functional (ADF)/ReaxFF45 software with an explicit representation of the 1,4-dioxane solution consisting of a pre-equilibrated/randomized solvent box that produced results in line with the reference65 (see, for example, Fig. S9 where the radial distribution function of 1,4-dioxane oxygen is displayed). Solute and solvent (which contained a few molecules of triflic acid) were described through a FF used in earlier investigations.20 The lowest energy structure of B in the erythro form, picked out from the CS, was inserted in the simulation box (34 × 22 × 26 Å3), which contained 70 molecules of 1,4-dioxane and three molecules of triflic acid. After a standard preliminary equilibration procedure in the NVT ensemble, the simulations were then carried out, first, in the NPT ensemble (200 ps) at constant pressure (1 bar), using the Berendsen's barostat47 with isotropic molecule-based scaling and a time constant of 1 ps, and then in the NVE ensemble (800 ps). The temperature (T = 300 K) was maintained by coupling the system to a thermal bath with the Andersen algorithm and a time constant of 1 ps. The integration step was set to 0.25 fs, and configurations were collected every 0.1 ps. The last 100 ps of the simulations were used for the system characterization and the extraction of promising structures. The analysis was focused on interatomic distances and solute-solvent interactions, which were rendered through atom-atom distance distribution functions (DDFs) and spatial distribution functions (SDFs).

The NEB simulations were performed with the Quantum Espresso (QM) software48 using periodic boundary conditions, plane-waves basis sets, ultrasoft pseudopotentials, and a description of exchange/correlation with a gradient-corrected functional (PBE)49 corrected for vdW interactions.50 Cutoffs on the one-particle wave function and electronic density were set to 40 and 400 Ry, respectively. The first Brillouin cell in the reciprocal space was sampled at the Gamma point only. All the calculations were spin-unrestricted with Gaussian smearing of the one-particle energy levels of 0.002 Ry. Twelve images along the minimum energy path (MEP) were chosen for each reaction.

Conflicts of interest

The authors declare no conflicts of interest.

Acknowledgements

Z. Zhang acknowledges the China Scholarship Council for funding (grant no. 201704910922). The work performed by C. W. L. has partly been conducted within the framework of the Dutch TKI-BBEI project “CALIBRA”, reference TEBE117014.

References

  1. Z. Sun, B. Fridrich, A. de Santi, S. Elangovan and K. Barta, Chem. Rev., 2018, 118, 614–678 CrossRef CAS PubMed.
  2. C. Zhang and F. Wang, Acc. Chem. Res., 2020, 53, 470–484 CrossRef CAS PubMed.
  3. W. Schutyser, T. Renders, S. Van den Bosch, S. F. Koelewijn, G. T. Beckham and B. F. Sels, Chem. Soc. Rev., 2018, 47, 852–908 RSC.
  4. Z. Zhang, J. Song and B. Han, Chem. Rev., 2017, 117, 6834–6880 CrossRef CAS PubMed.
  5. E. Adler, Wood Sci. Technol., 1977, 11, 169–218 CrossRef CAS.
  6. K. Lundquist, Acta Chem. Scand., 1967, 21, 1750–1754 CrossRef CAS.
  7. K. Lundquist, Acta Chem. Scand., 1970, 24, 889–907 CrossRef CAS.
  8. K. Lundquist and L. Ericsson, Acta Chem. Scand., 1970, 24, 3681–3686 CrossRef CAS.
  9. O. Karlsson, K. Lundquist, S. Meuller and K. Westlid, Acta Chem. Scand., Ser. B, 1988, 42, 48–51 CrossRef.
  10. M. Kulka and H. Hibbert, J. Am. Chem. Soc., 1943, 65, 1180–1185 CrossRef CAS.
  11. T. Yokoyama and Y. Matsumoto, Holzforschung, 2008, 62, 164–168 CAS.
  12. H. Ito, T. Imai, K. Lundquist, T. Yokoyama and Y. Matsumoto, J. Wood Chem. Technol., 2011, 31, 172–182 CrossRef CAS.
  13. T. Imai, T. Yokoyama and Y. Matsumoto, J. Wood Chem. Technol., 2012, 32, 165–174 CrossRef CAS.
  14. K. Lundquist, R. Lundgren, J. Danielsen, A. Haaland and S. Svensson, Acta Chem. Scand., 1972, 26, 2005–2023 CrossRef CAS.
  15. T. Imai, T. Yokoyama and Y. Matsumoto, J. Wood Sci., 2011, 57, 219–225 CrossRef CAS.
  16. T. Yokoyama, J. Wood Chem. Technol., 2014, 35, 27–42 CrossRef CAS.
  17. M. R. Sturgeon, S. Kim, K. Lawrence, R. S. Paton, S. C. Chmely, M. Nimlos, T. D. Foust and G. T. Beckham, ACS Sustainable Chem. Eng., 2013, 2, 472–485 CrossRef.
  18. Y. M. Questell-Santiago, M. V. Galkin, K. Barta and J. S. Luterbacher, Nat. Rev. Chem., 2020, 4, 311–330 CrossRef CAS.
  19. A. Kaiho, M. Kogo, R. Sakai, K. Saito and T. Watanabe, Green Chem., 2015, 17, 2780–2783 RSC.
  20. P. J. Deuss, M. Scott, F. Tran, N. J. Westwood, J. G. de Vries and K. Barta, J. Am. Chem. Soc., 2015, 137, 7456–7467 CrossRef CAS PubMed.
  21. A. De Santi, S. Monti, G. Barcaro, Z. Zhang, K. Barta and P. J. Deuss, ACS Sustainable Chem. Eng., 2021, 9, 2388–2399 CrossRef CAS PubMed.
  22. Y. Liu, N. Deak, Z. Wang, H. Yu, L. Hameleers, E. Jurak, P. J. Deuss and K. Barta, Nat. Commun., 2021, 12, 5424 CrossRef CAS PubMed.
  23. Z. L. Zhang, C. W. Lahive, J. G. M. Winkelman, K. Barta and P. J. Deuss, Green Chem., 2022, 24, 3193–3207 RSC.
  24. E. T. Sletten, Y. J. Tu, H. B. Schlegel and H. M. Nguyen, ACS Catal., 2019, 9, 2110–2123 CrossRef CAS PubMed.
  25. T. T. Dang, F. Boeck and L. Hintermann, J. Org. Chem., 2011, 76, 9353–9361 CrossRef CAS PubMed.
  26. D. C. Rosenfeld, S. Shekhar, A. Takemiya, M. Utsunomiya and J. F. Hartwig, Org. Lett., 2006, 8, 4179–4182 CrossRef CAS PubMed.
  27. J. D. Steen, S. Stepanovic, M. Parvizian, J. W. de Boer, R. Hage, J. Chen, M. Swart, M. Gruden and W. R. Browne, Inorg. Chem., 2019, 58, 14924–14930 CrossRef CAS PubMed.
  28. P. J. Deuss, C. W. Lahive, C. S. Lancefield, N. J. Westwood, P. C. Kamer, K. Barta and J. G. de Vries, ChemSusChem, 2016, 9, 2974–2981 CrossRef CAS PubMed.
  29. C. F. Baes and R. S. Mesmer, The Hydrolysis of Cations, 489 Seiten, Preis: £ 18.60. Berichte der Bunsengesellschaft für physikalische Chemie, John Wiley & Sons, New York, London, Sydney, Toronto, 1976, 81, pp. 245–246,  DOI:10.1002/bbpc.19770810252.
  30. P. J. Deuss, C. S. Lancefield, A. Narani, J. G. de Vries, N. J. Westwood and K. Barta, Green Chem., 2017, 19, 2774–2782 RSC.
  31. A. De Santi, M. V. Galkin, C. W. Lahive, P. J. Deuss and K. Barta, ChemSusChem, 2020, 13, 4468–4477 CrossRef CAS PubMed.
  32. Z. Wang, Z. Zhang, H. Wang and P. J. Deuss, Chem. Catal., 2022, 2, 1407–1427 CrossRef.
  33. C. Dong, X. Meng, C. S. Yeung, H.-Y. Tse, A. J. Ragauskas and S.-Y. Leu, Green Chem., 2019, 21, 2788–2800 RSC.
  34. C. W. Lahive, P. C. J. Kamer, C. S. Lancefield and P. J. Deuss, ChemSusChem, 2020, 13, 4238–4265 CrossRef CAS PubMed.
  35. T. Akiyama, H. Goto, D. S. Nawawi, W. Syafii, Y. Matsumoto and G. Meshitsuka, Holzforschung, 2005, 59, 276–281 CAS.
  36. M. Hauteville, K. Lundquist and S. von Unge, Acta Chem. Scand., Ser. B, 1986, 40, 31–35 CrossRef.
  37. T. Akiyama, K. Magara, G. Meshitsuka, K. Lundquist and Y. Matsumoto, J. Wood Chem. Technol., 2014, 35, 8–16 CrossRef CAS.
  38. V. Langer, K. Lundquist and J. Parkås, BioResources, 2007, 2, 590–597 CAS.
  39. K. Lundquist, V. Langer and J. Parkås, BioResources, 2009, 4, 529–536 CAS.
  40. K. Lundquist, V. Langer, S. Li and R. Stomberg, Lignin Stereochemistry and its Biosynthetic Implications, 12th International Symposium on Wood and Pulping Chemistry, Madison, Wisconsin, USA, 2003, vol. 1, p. 239–244 Search PubMed.
  41. S. Besombes, D. Robert, J.-P. Utille, F. R. Taravel and K. Mazeau, J. Agric. Food Chem., 2003, 51, 34–42 CrossRef CAS PubMed.
  42. R. Stomberg and K. Lundquist, Nord. Pulp Pap. Res. J., 1994, 9, 37–43 CrossRef CAS.
  43. S. Shimizu, T. Yokoyama, T. Akiyama and Y. Matsumoto, J. Agric. Food Chem., 2012, 60, 6471–6476 CrossRef CAS PubMed.
  44. S. Shimizu, P. Posoknistakul, T. Yokoyama and Y. Matsumoto, BioResources, 2013, 8, 4312–4322 CrossRef.
  45. C. Bohlin, K. Lundquist and L. J. Jönsson, Enzyme Microb. Technol., 2008, 43, 199–204 CrossRef CAS.
  46. C. Bohlin, P.-O. Andersson, K. Lundquist and L. J. Jönsson, J. Mol. Catal. B: Enzym., 2007, 45, 21–26 CrossRef CAS.
  47. P. Posoknistakul, T. Akiyama, T. Yokoyama and Y. Matsumoto, J. Wood Chem. Technol., 2016, 36, 288–303 CrossRef CAS.
  48. P. Posoknistakul, T. Akiyama, T. Yokoyama and Y. Matsumoto, J. Wood Chem. Technol., 2016, 37, 87–98 CrossRef.
  49. P. Posoknistakul, S. Akiho, T. Akiyama, T. Yokoyama and Y. Matsumoto, J. Wood Sci., 2018, 64, 451–457 CrossRef CAS.
  50. J. Ralph, C. Lapierre and W. Boerjan, Curr. Opin. Biotechnol., 2019, 56, 240–249 CrossRef CAS PubMed.
  51. X. Huang, O. M. Morales Gonzalez, J. Zhu, T. I. Korányi, M. D. Boot and E. J. M. Hensen, Green Chem., 2017, 19, 175–187 RSC.
  52. R. Jastrzebski, S. Constant, C. S. Lancefield, N. J. Westwood, B. M. Weckhuysen and P. C. Bruijnincx, ChemSusChem, 2016, 9, 2074–2079 CrossRef CAS PubMed.
  53. A. C. H. Braga, S. Zacchino, H. Badano, M. G. Sierra and E. A. Rúveda, Phytochemistry, 1984, 23, 2025–2028 CrossRef CAS.
  54. S.-S. Lee, N.-I. Baek, Y.-S. Baek, D.-K. Chung, M.-C. Song and M.-H. Bang, Molecules, 2015, 20, 5616–5624 CrossRef CAS PubMed.
  55. T. Miyase, A. Ueno, N. Takzawa, H. Kobayashi and H. Oguchi, Chem. Pharm. Bull., 1987, 35, 3713–3719 CrossRef CAS.
  56. T. Kikuchi, S. Matsuda, S. Kadota and T. Tai, Chem. Pharm. Bull., 1985, 33, 1444–1451 CrossRef CAS PubMed.
  57. S. Dabral, J. Mottweiler, T. Rinesch and C. Bolm, Green Chem., 2015, 17, 4908–4912 RSC.
  58. S. Dabral, J. Engel, J. Mottweiler, S. S. M. Spoehrle, C. W. Lahive and C. Bolm, Green Chem., 2018, 20, 170–182 RSC.
  59. B. Dhakal, L. Bohe and D. Crich, J. Org. Chem., 2017, 82, 9263–9269 CrossRef CAS PubMed.
  60. Y. Jing, X. Mu, Z. Han, C. Liu and D. Zhang, Mol. Catal., 2019, 463, 140–149 CrossRef CAS.
  61. G. Kovács, G. Ujaque and A. Lledós, J. Am. Chem. Soc., 2008, 130, 853–864 CrossRef PubMed.
  62. B. Yuan, R. He, W. Shen and M. Li, Eur. J. Org. Chem., 2017, 2017, 3947–3956 CrossRef CAS.
  63. M. J. Vainio and M. S. Johnson, J. Chem. Inf. Model., 2007, 47, 2462–2474 CrossRef CAS PubMed.
  64. J. S. Puranen, M. J. Vainio and M. S. Johnson, J. Comput. Chem., 2010, 31, 1722–1732 CAS.
  65. R. Barata-Morgado, M. L. Sánchez, I. Fdez. Galván, J. C. Corchado, M. E. Martín, A. Muñoz-Losa and M. A. Aguilar, Theor. Chem. Acc., 2013, 132, 1390 Search PubMed.

Footnote

Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d2gc01740g

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