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

Lignification-mimetic dehydrogenative diphenoquinone synthesis and electrochemical CO2 capture

Hyeyun Kima, Omer Shinnawyb, Seda Ulusoyc, Germán Salazar-Alvarezd, Ngoc Tuan Trane, Hyesung Choa, Changmin Sungf, Seung-Soo Kimg, Bonwook Kooh, Keunhong Jeongi, Kiana Aminib and Kwang Ho Kim*e
aExtreme Materials Research Center, Korea Institute of Science and Technology, 5 Hwarang-ro 14-gil, Seongbuk-gu, Seoul 02792, Republic of Korea
bDepartment of Materials Engineering, University of British Columbia, 6350 Stores Road, Vancouver, BC V6T 1Z4, Canada
cHeinz Maier-Leibnitz Zentrum (MLZ), Technische Universität München, Lichtenbergstr. 1, 85748 Garching, Germany
dDepartment of Materials Science and Engineering, Uppsala University, 75103, Uppsala, Sweden
eDepartment of Wood Science, Faculty of Forestry, University of British Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada. E-mail: kwang.kim@ubc.ca
fDoping Control Center, Korea Institute of Science and Technology, 5 Hwarang-ro 14-gil, Seongbuk-gu, Seoul, Korea
gDepartment of Chemical Engineering, Kangwon National University, 346 Joongang-ro, Samcheok, Gangwon-do 25913, South Korea
hSchool of Forestry Sciences and Landscape Architecture, Kyungpook National University, Daegu 41566, Republic of Korea
iDepartment of Chemistry, Korea Military Academy, Seoul 01805, Republic of Korea

Received 8th October 2025 , Accepted 5th January 2026

First published on 6th January 2026


Abstract

Sustainable mitigation of atmospheric CO2 requires not only efficient capture technologies but also environmentally responsible production of the materials that enable them. Many capture systems rely on materials synthesized via energy-intensive, multi-step processes from non-renewable feedstocks. To create truly sustainable solutions, there is a critical need for green synthetic pathways that minimize the overall carbon footprint of capture technologies from cradle to grave. Here, we report a diphenoquinone-based CO2 capture material synthesized from the lignin-derived monomer via an enzymatic coupling reaction, establishing a sustainable route under mild, aqueous conditions without complex purification. The reaction selectively forms a crystalline C4–C4′ linked diphenoquinone, confirmed by comprehensive spectroscopic analyses, and avoids the structural heterogeneity typical of lignin-derived products. The resulting molecule exhibits a positive redox potential and robust reversibility, enabling electrochemical CO2 capture and release with a specific capacity of 1.9 mmol g−1. While initial performance is limited by the physical stability of the reduced species, this work establishes a new paradigm for lignin valorization by transforming renewable phenolics into discrete, functional molecules for CO2 capture, and offers a broadly applicable platform for green synthesis of bio-derived quinones, providing a foundation for sustainable technologies within a circular carbon economy.



Green foundation

1. This work advances green chemistry by introducing a biomimetic, lignification-inspired synthesis that transforms a renewable lignin monomer into a discrete, redox-active diphenoquinone under mild, aqueous conditions. It establishes a sustainable link between biomass valorization and electrochemical CO2 capture.

2. The method replaces fossil-based reagents and multi-step, high-energy syntheses with a one-pot, enzymatic route carried out at room temperature in water, eliminating toxic solvents and minimizing chemical waste while maintaining functional performance.

3. The work could be made greener and elevated by incorporating enzyme immobilization and reuse, solvent recycling, and renewable electricity for electrochemical operation. Further research will focus on improving the stability of reduced species, conducting life-cycle assessments to quantify overall sustainability benefits.


Introduction

Anthropogenic carbon dioxide (CO2) emissions are a primary driver of the global climate crisis, posing substantial risks to ecosystems and human health. Despite significant efforts to transition from fossil fuels to renewable energy sources such as biofuels and electricity, certain sectors remain difficult to decarbonize. Given the urgency of mitigating greenhouse gas emissions, the development of carbon removal technologies, whether through point-source capture or direct air capture, is essential. Advancing these technologies through rapid development, scaling up, and implementation is critical to achieving a net-zero emission economy.1

Conventional carbon capture and sequestration (CCS) technologies have primarily focused on capturing CO2 from large-scale emitters and storing it in secure geologic reservoirs.2,3 Among these, amine-based thermal scrubbing is one of the most widely used methods. This process captures CO2 through chemisorption and releases it via a temperature-swing regeneration cycle. While effective, this approach has notable drawbacks, including high energy consumption during regeneration, chemical degradation of the sorbents, and relatively slow CO2 adsorption kinetics.4–7 To overcome these limitations, electrochemically mediated carbon capture has emerged as a promising alternative. This strategy offers several advantages: it operates under ambient temperature and pressure conditions, produces no harmful byproducts, and can be tailored using a wide range of candidate molecules, making electrochemical carbon capture a more sustainable and flexible pathway towards scalable CO2 mitigation.8

While various classes of organic molecules, including N-heterocycles and organometallic complexes, have been investigated, quinone-based systems have emerged as leading candidates due to their inherent structural stability, tunable redox properties, and efficient nucleophilic CO2 capture mechanism.9 Widely found in nature, quinones function as redox-active electron-transfer agents in fundamental biological processes such as respiration and photosynthesis. Featuring structural diversity and tunability, the ability of typical quinones to undergo rapid and reversible reductions makes them attractive candidates for use in energy storage systems (i.e., aqueous flow battery system).10–12 The electrochemically reduced forms of quinones (i.e., oxyanion nucleophiles) show a high binding affinity to CO2,13 enabling effective separation and concentration of CO2 from various sources. Their reversible redox behavior and structural versatility position them as effective organic compounds for sustainable CO2 capture systems.13–19

Quinone-based systems enable CO2 capture and release through two distinct mechanisms: the nucleophilicity-swing and the pH-swing.20 The nucleophilicity-swing mechanism operates in aprotic or protic solvents containing dissolved quinones as well as in quinone-immobilized electrodes. In this mechanism, reduced quinones (phenolate forms) react reversibly with CO2 through nucleophilic addition, leading to the formation of quinone-CO2 adducts. In contrast, the pH-swing mechanism involves quinones in protic solvents, where, depending on the pKa of the quinone, the electrochemical reduction of quinones can be proton-coupled and create hydroxide ions, capturing CO2 as carbonate or bicarbonate.

Among quinonoid structures, diphenoquinones constitute a unique subclass in which the carbonyl groups are located on separate aromatic rings, allowing extended conjugation. Whereas the two-electron reduction of benzoquinone produces a dianion with a single aromatic ring, diphenoquinone yields a dianion with two aromatic rings and enhanced charge delocalization. This increased delocalization contributes to the generally more positive redox potentials observed for diphenoquinones relative to their benzoquinone analogues.21 Additionally, the rigid and extended planar structure of diphenoquinones imparts high structural stability and reduced solubility, making them inherently more suitable than simple benzoquinones for electrode applications in liquid electrolyte systems.21

While quinones are highly desirable for functional applications and are abundant in nature, their industrial-scale supply is dominated by chemical synthesis from petroleum-based sources. This reliance presents a sustainability conflict, as conventional methods often involve multi-step routes with harsh chemicals and significant energy consumption.21,22 To address these limitations, a new design strategy for CO2 capture materials is required, considering the entire lifecycle, from a renewable resource to a synthesis process with a minimal environmental footprint.

Lignin is a vast source of quinones, as the Earth's most abundant aromatic biopolymer and a massive byproduct of the pulp industry.23,24 This has naturally led to its exploration for CO2 capture but its quinone-like structures viable for electrochemical carbon adsorption was neglected. For example, previous studies of utilization of lignin-derived materials for CO2 capture has predominantly involved high-temperature pyrolysis to produce porous carbons for thermal physisorption, a process that destroys lignin's inherent chemical functionality, using it as merely as a passive carbon supporter.25–27 While these materials can exhibit high capacities (0.4–11 mmol CO2 per g), this performance comes at a significant cost requiring further energy input for thermal regeneration. More recently, Ghorai et al. demonstrated the chemical modification of the lignin polymer with ionic groups for thermal chemisorption, preserving the polymer backbone and enabling regeneration with mild heat with good cyclability and moderate capacity.28,29 Although lignin-based materials have been successfully demonstrated as renewable carbon backbones, leveraging the intrinsic redox functionality of lignin-derived quinone motifs represents a significant advance toward their high-value valorization for sustainable CO2 capture.

In this work, we demonstrated a sustainable synthesis of a lignin-derived quinone based redox-active electrochemical CO2 capture material. This was achieved via a biomimetic, peroxidase-catalyzed radical polymerization of syringol (2,6-dimethoxyphenol) inspired by in vitro lignification. The resulting dehydrogenation compound, a syringol-derived diphenoquinone, (3,3′,5,5′-tetramethoxy-4,4′-diphenoquinone) was comprehensively characterized and subsequently utilized as a redox-active material for electrochemical CO2 capture. The enzymatic synthesis itself adheres to the core principles of green chemistry, proceeding under mild aqueous conditions without external heating or pressurization. However, while methods mimicking lignification are prevalent for synthesizing structural biopolymers, their potential to generate functional, redox-active materials for electrochemical applications has been largely overlooked. To the best of our knowledge, this work represents the first demonstration of electrochemical CO2 capture using a material synthesized via bio-catalysis from a lignin-derived precursor. This nature-inspired strategy addresses a challenge of state-of-the-art electrochemically redox-active materials for this purpose by establishing a complete ‘green’ value chain: from a renewable resource and a mild, biomimetic synthesis to a final, critical environmental application. This work not only revitalizes a classical enzymatic synthesis pathway but also offer a sustainable route to quinonoid materials, bypassing the severe processing typical of lignin valorization.

Results

Biomimetic synthesis of diphenoquinone

Lignin-like dehydrogenation polymers (DHPs) and their synthesis have been extensively studied to elucidate the structure of lignin and understand the process of natural lignification in plant cell walls.30,31 In nature, lignin is an enzyme-initiated biopolymer formed through random radical coupling reactions of at least two monolignol precursors (e.g., p-coumaryl alcohol, coniferyl alcohol, and sinapyl alcohol).32 Upon oxidation by peroxidase, these precursors generate delocalized radicals with unpaired electron density at the 1-, 3-, O-4-, 5-, and β-positions (Fig. S1). Previous studies have reported high spin density at the O4 position,33,34 suggesting it as the most reactive site for radical coupling. Additionally, the Cβ position is favored due to reduced steric hindrance from methoxyl groups. These features contribute to the high abundance of β-O-4 linkages in the native lignin structure. Beyond the radical coupling by three representative monolignols, lignin polymerization is known for its plasticity, allowing the incorporation of various phenolic compounds that reach lignification sites in the plant cell wall.35

The outcome of peroxidase-catalyzed oxidation depends on the precursor. Phenolic precursors (e.g., syringol and guaiacol), which lack an aliphatic side chain, form phenoxy radical that promotes selective C4–C4′ coupling, yielding stable diphenol dimers.36–38 Understanding this highly selective pathway provides a biomimetic strategy for the precise synthesis of functional diphenols and diphenoquinones, avoiding the structural complexity of traditional lignin polymerization.

Inspired by this natural polymerization mechanism, we selectively produce a diphenoquinone structure via radical coupling at a specific position while suppressing undesired linkages. Syringol (2,6-dimethoxyphenol) has symmetric substitution pattern with two methoxy groups at C2 and C6 impose significant steric hindrance at the ortho positions, effectively blocking those sites from participating in coupling reactions. This steric constraint makes the para position (C4) the most accessible and reactive site. Consequently, syringol favors symmetrical C4–C4′ coupling, leading to the formation of a well-defined diphenoquinone structure, in contrast to the diverse linkage patterns typically observed in lignification with coniferyl alcohol or sinapyl alcohol.

Fig. 1 illustrates the mesomeric structures of the syringol phenoxy radical, spin density contour plots, and the calculated spin populations at each reactive site. As shown, the unpaired electron is predominantly localized at the C4 position. It is noted that C4 in syringol corresponds to the C1 position in conventional monolignols, where the aliphatic side chain is typically located. This localization suggests that radical coupling preferentially occurs at C4, facilitating radical termination and the formation of a diphenoquinone structure. In contrast, the steric hindrance from methoxy groups at C2 and C6 likely suppresses alternative coupling pathways. Interestingly, the O1 site also exhibited relatively high spin density, suggesting its potential as an alternative reactive site. This finding raises the possibility that 1-O-linked chain-propagation products could form under certain conditions.


image file: d5gc05304h-f1.tif
Fig. 1 (A) Primary mesomeric forms of a phenoxy radical produced by dehydrogenative reaction of syringol, (B) spin density contour plots, and (C) calculated spin populations for syringol radicals, obtained using the M06-2X meta-hybrid functional and the 6-31+G(2d,2p) basis set.

To validate this hypothesis, peroxidase-catalyzed dehydrogenation of syringol was conducted in vitro using a continuous addition mode to enable controlled radical coupling reaction. The resulting deep purple-colored solid was isolated and subjected to comprehensive characterization. LC-MS/MS analysis confirmed the formation of a syringol-derived diphenoquinone, with a distinct signal at m/z 305.26 ([M + H]+), corresponding to 3,3′,5,5′-tetramethoxy-4,4′-diphenoquinone (Fig. S2 and Fig. 2A). Further analysis by gel permeation chromatography (GPC) revealed a single sharp peak between 300 and 400 Da (Fig. 2B). Unlike conventional DHPs derived from lignin monolignols, which typically exhibit molecular weights greater than 3000 g mol−1,39–42 the syringol-derived product displayed a significantly lower average molecular weight (Mw = 350 g mol−1) and an exceptionally narrow polydispersity index (PDI = 1.03). These results strongly support of a discrete dimeric structure, consistent with the expected diphenoquinone.


image file: d5gc05304h-f2.tif
Fig. 2 (A) Mass spectrum of 3,3′,5,5′-tetramethoxy-4,4′-diphenoquinone (m/z 305.26) observed from the analysis of syringol-derived dehydrogenation compound by LC-MS/MS and (B) gel permeation chromatogram, showing a clear peak between 300 and 400 Da.

In addition to the diphenoquinone form, a hydroquinone form, 4,4′-dihydroxy-3,3′,5,5′-tetramethoxybiphenyl, was also detected by LC-MS analysis at m/z of 307.28 (Fig. S2). Although the signal intensity was relatively low, the presence of this hydroquinone form was confirmed. The formation of hydroquinone may be attributed to self-disproportionation of diphenoquinone, leading to production of semiquinone and hydroquinone species.43,44 Additionally, under the oxidative conditions employed (peroxidase + H2O2), the oxidized peroxidase can produce semiquinone radicals, which may engage in radical redox cycling, ultimately reducing diphenoquinone to its hydroquinone counterpart. Thus, the reaction mixture predominantly yielded a deep purple solid, characteristic of the quinhydrone pillars by charge-transfer complex forming a co-crystal of quinone and hydroquinone (see Fig. S3 for an image of the synthesized product). Dissolution of the quinhydrone crystals disrupts the intermolecular non-covalent forces (charge-transfer, π-stacking, and hydrogen bonding) holding the complex together, causing it to dissociate into its constituent quinone and hydroquinone molecules. The unstable hydroquinone is then readily oxidized by atmospheric oxygen during solvent evaporation. As a result, the final extract obtained for analysis is composed dominantly of the more stable diphenoquinone.45

The structure of the synthesized compound was confirmed by FT-IR and 1H NMR spectroscopy as shown in Fig. 3A and B. The measured FT-IR spectrum is consistent with the reference spectrum reported in the NIST Chemistry WebBook for 3,3′,5,5′-tetramethoxy-4,4′-diphenoquinone, supporting the assigned functional-group vibrational bands.46 The presence of the aromatic rings was confirmed by C[double bond, length as m-dash]C stretching vibrations observed between 1440–1660 cm−1 (a) and out-of-plane C–H bending at 710–920 cm−1 (b). Key stretches for the methoxy substituents were identified, including the C–H bending of the methyl groups at 1200–1437 cm−1 (c) and symmetric C–O stretch at 1110 cm−1 (d). A strong absorption band centered at 1624 cm−1, accompanied by a shoulder near 1610 cm−1, is assigned to the conjugated quinone C[double bond, length as m-dash]O stretching mode, partially overlapping with aromatic C[double bond, length as m-dash]C vibrations within the 1440–1660 cm−1 region. A weak absorption near 3300 cm−1, corresponding to an O–H stretch, indicated a minor amount of free OH groups due to highly ordered hydrogen bonding between OH from hydroquinone and carbonyl oxygen of the neighboring diphenoquinone.


image file: d5gc05304h-f3.tif
Fig. 3 (A) Fourier-transform infrared (FT-IR) spectrum, (B) 1H nuclear magnetic resonance (NMR) spectrum, and (C) X-ray diffraction, (D) atomic PDF analysis of the synthesized dehydrogenative compound, (E) scheme of molecular structure changes of syringol diphenoquinone.

The 1H NMR spectrum provided further definitive evidence. The signal at δ 3.8 ppm corresponds to the twelve protons of the four equivalent methoxy groups (c in Fig. 3A), while the signal at δ 6.8 ppm is assigned to the four equivalent aromatic protons (b). These combined data are fully consistent with the structure of 3,3′,5,5′-tetramethoxy-4,4′-diphenoquinone. Minor peaks at 3.5 and 6.8 ppm are attributed to trace impurities introduced during the biomimetic enzymatic synthesis (e.g., protein residues or a small amount of the corresponding hydroquinone analogue), consistent with the previous studies using same method but laccase,47 as well as residual water at 4.7 ppm; however, LC/MS confirms diphenoquinone as the dominant product, and these minor signals do not affect the structural assignment.

The structure of the product from the syringol dehydrogenation reaction was investigated using wide-angle X-ray scattering (WAXS) and pair distribution function (PDF) analysis. Contrary to the “polymer” designation, the WAXS pattern revealed sharp Bragg peaks, characteristic of a highly crystalline material. This finding is consistent with the visual observation of fiber-like crystals precipitating from the reaction medium and literature.21

PDF analysis corroborated crystalline structure that persist to high r (>30 Å), a clear signature of long-range periodic order (Fig. 3D). The low-r region (<4 Å) is dominated by sharp intramolecular peaks consistent with a rigid diphenoquinone-like molecule. Distinct peaks observed at 1.395, 2.416, and 2.79 Å correspond to the expected carbon–carbon and carbon–oxygen bond distances within and between aromatic rings (Table S1).48,49 An intermolecular peak at r ≈ 3.7 Å indicates that the planar, short-length molecules readily self-assemble into highly ordered columnar structures, driven by strong intermolecular interactions rather than covalent chain connections. If the radical were predominantly delocalized at the phenolic oxygen, one would expect the formation of 1-O-4 linked oligomers or polymers. However, the absence of signal in the 4.8–5.2 Å range (distance known for 1-O-4 linked dimers) further supports our hypothesis that 4–4 coupling is the dominant pathway under the conditions tested.50,51

These combined results indicate that the peroxidase-catalyzed radical coupling of syringol selectively produce a dimer, identified as 3,3′,5,5′-tetramethoxy-4,4′-diphenoquinone. Then Fig. 3E depicts radical coupling producing syringol-derived diphenoquinone that this well-defined, short-length molecule then readily self-assembles via π–π stacking to form the observed highly ordered, crystalline structures.

Scanning electron microscopy (SEM) revealed that the syringol-derived diphenoquinone crystallized into well-defined prism-like microstructures under the typical synthesis conditions, which involved gentle stirring at 200 rpm (Fig. 4A). These columnar crystals exhibited uniform dimensions with smooth surface and sharp, angular facets, indicative of highly ordered growth. A higher-magnification image further highlights the regular geometry and compact arrangement of the crystals. A previous report on crystallographic data of 3,3′,5,5′-tetramethoxy-4,4′-diphenoquinone revealed that this diphenoquinone belongs to the monoclinic space group, which is exactly observed from the SEM images here.


image file: d5gc05304h-f4.tif
Fig. 4 (A) Scanning electron microscopy (SEM) image of the syringol-derived dehydrogenative compound synthesized under continuous stirring at 200 rpm, and (B) without stirring. (C) In situ optical microscopy image captured 5 min after initiating the reaction on a microscope slide.

To explore potential control over crystal morphology, we investigated the effect of synthesis parameter, including stirring conditions. When the reaction was carried out without stirring, the resulting product displayed a markedly different morphology, forming long and highly entangled structures (Fig. 4B). These needle-like one dimensional formation suggest unregulated and anisotropic crystal growth in the absence of mixing. This morphological shift demonstrates the size-controllable synthesis of diphenoquinone, where simple changes to the reaction environment can modulate the crystal dimensions and aspect ratio. The ability to tune the size and shape of the resulting microstructures not only provides insight into the kinetics of radical-mediated crystallization, but also opens opportunities to tailor material properties for specific applications.

To further investigate the crystallization behavior, we employed a high-speed camera to monitor the formation of the syringol-derived dehydrogenative compound in real time. Remarkably, crystal growth initiated immediately upon addition of the precursor, and the entire reaction was completed within several minutes, as clearly captured in the video (SI Video S1). This rapid formation emphasizes the efficiency of the peroxidase-catalyzed process, which contrasts largely with conventional chemical synthesis routes for diphenoquinone that typically require ∼20 h, involve multiple steps, and utilize numerous chemical reagents. In comparison, our method offers a greener and more sustainable alternative, minimizing time, reagents, and energy input. The in situ optical microscopy image shown in Fig. 4C was taken 5 min after precursor addition, capturing the rapid emergence of elongated, thread-like crystals. These observations, together with SEM analysis, demonstrate the feasibility of using biocatalytic radical coupling to synthesize structurally ordered diphenoquinones in a fast, low-environmental impact manner.

Thermogravimetric analysis (TGA) of the crystalline product (Fig. S4) reveals excellent thermal stability, with a decomposition temperature exceeding 300 °C unlike amorphous lignin polymers with a low glass transition temperature (Tg ≈ 150 °C). Such superior thermal resistivity is a direct consequence of the material's hierarchical structure: the strong bonds provide molecular integrity, while the extensive network of π–π stacking and intermolecular hydrogen bonds creates a high lattice energy that must be overcome for sublimation or decomposition.

Previous studies of biomimetic polymerization of diphenoquinones and lignin-like polymers using different enzyme systems (HRP, soybean peroxidase, Coprinus cinereus peroxidase, and fungal/plant laccases) and various monomers are summarized in Table S2. Most of these reports concentrate on fundamental lignin biosynthesis and on the molecular-level characterization of dimeric or oligomeric products. Although HRP frequently yields high conversion and good product purity, its capacity to generate defined microscale structures, such as ordered morphologies, crystallinity, and controlled growth kinetics, has not been comprehensively examined.

In contrast, our work demonstrates that HRP-mediated coupling can provide a green and efficient approach to lignin-derived material valorization, enabling the direct formation of nano-/microrod diphenoquinone crystals without the multi-step syntheses and extensive purification. This unique combination of enzymatic, bottom-up synthesis and robust, self-assembled crystallinity opens exciting avenues for advanced materials. By using this enzymatic reaction within nanoscale or microscale templates or domains, it should be possible to direct the self-assembly process. This would enable sustainable fabrication of anisotropic, high-aspect-ratio nanostructures (e.g., nanowires, nanorods) with precise dimensional control.

Cyclic voltammetry analysis

To explore the potential applications of biologically synthesized diphenoquinones and to confirm its structural identity with the chemically synthesized counterpart, we evaluated its electrochemical redox activity using a cyclic voltammetry technique, following the previous work.21 The syringol-derived diephnoquinone was physisorbed on a carbon conductive cloth working electrode (Pt plate as a counter). The resulting stable and well-defined voltammograms confirm that the diphenoquinone can be effectively immobilized on a conductive support to create an electrochemically active interface (Fig. S5). The voltammogram exhibits a single, quasi-reversible redox activity, corresponding to a concerted two-electron, two-proton (2e/2H+) transfer. During the cathodic scan (reduction, peak b in Fig. S5), the two quinone carbonyls are reduced to hydroquinone hydroxy groups. The reverse process occurs during the anodic scan (oxidation, peak a), where the hydroquinone is oxidized back to the quinone form.21

The formal potential (E°′), estimated at the midpoint of the anodic and cathodic peaks, was found to be approximately 0.55 V vs. Ag/AgCl. While the peak-to-peak separation is larger than ideal due to the uncompensated resistance of low electrical conductivity of the material and the cell configuration, the potential is consistent with literature values for tetramethoxy-diphenoquinones in acidic conditions.21 This positive redox potential is a key feature of diphenoquinones, relatively more positive than most widely used CO2 capture quinones (e.g. anthraquinone), attributed to the extended π-conjugation across the two rings. It can better stabilizes the charge in both the radical-anion intermediate and the dianion.21 The more positive redox potential would result in better stability in presence of oxygen.52 Additionally, such relatively positive redox potential poses it as attractive candidates for use as positive electrode materials in various energy storage devices, such as redox flow batteries or organic batteries.53–55 In this role, they could serve as a sustainable, alternative to commonly used redox-active molecules like (2,2,6,6-tetramethylpiperidin-1-yl)oxyl (TEMPO), offering comparable redox potentials with a robust structure that is readily derived from renewable biomass resources offering a promising pathway toward truly green and sustainable electrochemical energy storage.

Electrochemical CO2 capture using syringol-derived diphenoquinone

To examine the electrochemical CO2 capture capability of the diphenoquinone, we performed cyclic voltammetry measurement in a CO2-saturated aqueous electrolyte using a three-electrode cell. First, a baseline CV was recorded under a fully purged N2 atmosphere (Fig. 5A, gold-colored solid line).
image file: d5gc05304h-f5.tif
Fig. 5 Cyclic voltammogram of diphenoquinone (A) with 0.1 M Na2SO4 electrolyte and their intermediates with (B) N2 and (C) CO2 gas flow. The reaction scheme in C demonstrates the proposed nucleophilicity-swing CO2 capture mechanism.

Under N2 purging and neutral conditions (0.1 M Na2SO4), the CV shows a two-electron redox process with two reduction features at approximately −0.28 V and −0.04 V vs. Ag/AgCl, and corresponding oxidation peaks around −0.20 V and +0.13 V (Fig. 5B). In the presence of CO2, the electrochemical response changes: the distinct reduction peaks collapse into a broad catalytic wave shifted toward more positive potentials, and the oxidation transforms into a single peak near +0.20 V (Fig. 5C). This behavior is consistent with interaction between the reduced quinone species and CO2, where binding stabilizes the reduced state, leading to positive shifts in reduction potentials.56 The corresponding oxidation is also shifted slightly positive, as expected for oxidation of a quinone–CO2 adduct compared to the free quinone. Cyclic voltammetry performed at different scan rates (10, 20, 30, and 50 mV s−1) displayed a consistent trend (Fig. S6A–C). It should also be noted that local pH changes can also influence the observed redox potentials. In an unbuffered electrolyte, the reduced quinone may undergo protonation, which increases the local alkalinity and provides a pH-swing pathway for CO2 capture. Such pH variations at the electrode interface can therefore contribute to the shifts in potential observed alongside quinone–CO2 interactions.

A control experiment on a bare carbon cloth electrode (Fig. S6D) was performed to confirm the active role of the catalyst. The resulting voltammogram showed no discernible redox peaks or catalytic activity in the presence of CO2 indicating that the carbon support is inert and that the observed electrochemical CO2 capture originates exclusively from the immobilized syringol diphenoquinone.

Oxygen tolerance is indeed critical for electrochemical CO2-capture systems to access the reduced quinone species that form the CO2 adduct. Our biomimetic synthesis strategy for diphenoquinone follows the rational design rules established in previous studies for oxygen-stable quinones. The redox potential for CO2 reduction with diphenoquinone is more positive than that reported for common quinone derivatives such as anthraquinone. Prior studies have shown that lower (more negative) redox potentials correspond to stronger CO2 binding (greater affinity toward CO2 complexation) but reduced oxygen stability.16,18,53 By contrast, the relatively more positive potential of diphenoquinone may indicate improved oxygen tolerance and a weaker yet more balanced interaction with CO2, potentially lowering the energetic cost of release while still enabling effective capture. In addition, the methoxy substituents provide steric shielding and electronic stabilization that can hinder O2 access and suppress parasitic side reactions, mechanisms that align with established strategies for enhancing oxygen stability in quinone-based redox systems.18,55 This balance makes diphenoquinone a promising candidate for electrochemical carbon capture in oxygen-containing environments.

To translate this observed catalytic activity into a practical measure of performance, we transitioned from cyclic voltammetry to an electrolysis H-cell system designed to quantify the material's total CO2 capture capacity (Fig. S7 and S8). Operation in the H-cell introduces additional resistive and kinetic losses, so an overpotential of approximately ±1.0 V was required to drive the electron-transfer and CO2-binding/release reactions at an appreciable rate. To measure, first, the working electrode was held at a constant potential of −1.0 V vs. Ag/AgCl while CO2 was bubbled through the electrolyte at 30 sccm. This capture step was continued until the cathodic current decayed to a steady-state value below 100 µA, ensuring sufficient time for the electrochemically reduced diphenoquinone to react with and capture CO2. Subsequently, the system was purged with N2 at 30 sccm, and the captured CO2 was released by holding the electrode potential at +1.0 V vs. Ag/AgCl until the resulting anodic current decayed below 100 µA.

Fig. 6A and B show the correlated profiles of potential, current, total charge passed, and downstream CO2 concentration during the capture and release cycles. During the capture phase at −1.0 V, the cathodic current decayed exponentially as the diphenoquinone on the electrode surface was progressively reduced and reacted with the constantly supplied CO2. Simultaneously, we observed the solution changing to dark yellow (Fig. S8A). This color change likely indicates leaching of the reduced, charged quinone species into the electrolyte. This dissolution represents a loss of active material and is a probable cause for the measured capacity being lower than the theoretical maximum.


image file: d5gc05304h-f6.tif
Fig. 6 Measurement of CO2 capture capacity of the syringol diphenoquinone, profiles of voltage, current, CO2 flow during (A) reduction for CO2 capture and (B) release.

After the capture step, the gas flow was switched to N2, allowing the CO2 sensor to establish a stable baseline. During this N2 purge period (rest), dissolved CO2 in the electrolyte was gradually stripped out, causing the CO2 flow signal to decrease until a steady baseline was reached. Upon applying an oxidative potential of +1.0 V to trigger the release, a distinct peak in the downstream CO2 concentration was immediately observed. This provides direct, evidence that the CO2 captured by the reduced diphenoquinone was successfully released upon oxidation. Concurrently, the solution color lightened (Fig. S8B), consistent with the oxidation of the leached species. As the anodic current decayed, the CO2 release rate gradually returned to the baseline.

By integrating the area under this CO2 release peak and subtracting the linear baseline, the total amount of electrochemically released CO2 was quantified as 36.7 µmol. Based on the initial loading of 19.4 mg of diphenoquinone (theoretical capacity: 6.55 mmol CO2 per g), this corresponds to a specific capacity of 1.9 mmol CO2 per g. This yields a faradaic efficiency of 29% for the complete capture-and-release cycle under these initial, unoptimized conditions. The primary factor limiting the efficiency is likely the observed dissolution of the reduced active material.

To verify that the observed CO2 capture and release originated from the coated diphenoquinone and not the electrode support, a reference experiment was conducted with a bare carbon felt electrode (Fig. S9). This control experiment proves that the rapid, potential-triggered capture and release of CO2 is exclusively mediated by the immobilized diphenoquinone. After the experiment, upon disassembly, the separator membrane facing the working electrode was visibly stained, and the electrolyte remained colored (Fig. S10A–D), confirming our hypothesis that the electrochemically reduced hydroquinone species has some solubility, leading to active material loss. When exposed to air, the color of the stained membrane and solution intensified to a dark orange, consistent with the rapid, spontaneous oxidation of the any remaining unstable reduced species back to the stable diphenoquinone form. These observations imply that material stability and immobilization as key challenges for practical application.

Improving phase stability by minimizing solubilization of the redox-active species will be important for future CO2-capture optimization. As shown in Fig. S10, most diphenoquinone remains in the solid phase after cycling, suggesting that only a limited amount becomes soluble under reducing conditions. Although quantification of the dissolved species was not feasible in this work, any soluble fraction is still expected to participate in the nucleophilicity-swing mechanism. For improved stability and performance, future studies will require rigorous quantification of the soluble fraction and identification of by-products using dedicated analytical methods (e.g., calibrated UV-Vis or LC/MS of the supernatant).17 Furthermore, distinguishing the respective contributions of pH-swing and nucleophilicity-driven capture during scale-up will require advanced in situ techniques such as electrochemical fluorescence microscopy, representing an important direction for future investigation of this system.20

Initial electrochemical CO2 capture studies with anthraquinones and quinonoids faced significant obstacles arising from their poor solubility, instability, and undesired dissolution or loss in the electrolyte during repetitive cycles. Dissolution of the active material led to low efficiency, capacity fading, and operational challenges. Over time, improved system performance, stability, and scalability allow quinone-based electrochemical CO2 capture to progress from inefficient, loss-prone, homogeneous systems to robust, reusable, and higher-capacity electrode architectures.13,18,57 This development can be implemented in our future works for practical and energy-efficient redox-active carbon capture technologies.

While the initial faradaic efficiency is modest, this work represents a critical first step in establishing biologically synthesized diphenoquinones, a class of molecules readily accessible from lignocellulosic biomass, as a new platform for electrochemical CO2 capture. Unlike conventional amine-based systems that require significant thermal energy for regeneration, or catalysts based on scarce and toxic metals, our approach offers a pathway founded on sustainable principles: a renewable organic molecule driven by low chemical waste release and green method.

This work demonstrates the feasibility of using a lignin-derived molecular catalyst for electrochemical CO2 capture, synthesized via a mild enzymatic route without severe chemical or thermal modification (Fig. 7). This electricity-driven approach leverages the molecule's intrinsic electronic properties, shifting the paradigm from energy-intensive thermal cycles. The catalyst shows promising initial capacity, though its long-term cyclability is currently limited by the physical instability of the reduced form, which is a limitation we believe is addressable through future design. Ultimately, it is believed that this study opens a new, energy-efficient pathway for lignin valorization in sustainable carbon management technologies.


image file: d5gc05304h-f7.tif
Fig. 7 Schematic illustration of an electrochemical CO2 capture process using lignin-derived diphenoquinone.

Conclusion

In summary, this study demonstrates the first application of a biomass-derivable diphenoquinone for electrochemical CO2 capture. We developed a highly selective, one-pot enzymatic synthesis that converts the lignin monomer syringol into a crystalline C4–C4′ linked diphenoquinone dimer. This biomimetic route avoids complex purification, offering a sustainable alternative to conventional syntheses. Comprehensive structural analyses confirmed the material's identity and its self-assembly into π-stacked crystalline structures. We have successfully validated this material's ability to electrochemically capture and release CO2, achieving a specific capacity of 1.9 mmol CO2 per g. While promising, this initial performance is primarily limited by the dissolution of the reduced active material, not by the intrinsic chemistry. This stability issue presents a clear opportunity for future improvement through molecular engineering and enhanced immobilization strategies. This work establishes a new class of renewable, redox-active molecules for carbon capture. By harnessing enzymatic synthesis to create functional materials from biomass, our approach provides a critical foundation for developing truly green technologies that contribute to a circular carbon economy.

Materials and methods

Materials

All chemical used in this work, including 2,6-dimethoxyphenol (syringol), horseradish peroxidase (HRP), 30% hydrogen peroxide solution (H2O2), sodium dihydrogen phosphate (NaH2PO4·2H2O), sodium phosphate dibasic heptahydrate (Na2HPO4·7H2O), sulfuric acid (H2SO4), sodium sulfate (Na2SO4), potassium chloride (KCl), sodium chloride (NaCl), polyvinylidene fluoride (PVDF), N-methylpyrrolidone (NMP), were purchased from Sigma-Aldrich and used as received. Carbon cloth, conductive carbon black (CB) and Ag/AgCl reference electrode and Pt electrode were purchased from MTI Corporation. An anion exchange membrane (DSVN, AGC Engineering), a graphite rod (Electron Microscopy Sciences), gas flow controllers (Seirra), SprintIR CO2 sensor (CO2met) were used for electrochemical CO2 capture and release measurement. Carbon dioxide (CO2, purity 99.9%) and nitrogen (purity, 99.9%) were obtained from Shin Yang Gas Co. (Seoul, Korea).

Synthesis of dehydrogenation compounds

For synthesis of a dehydrogenation compound, end-wise polymerization (Zutropt) method was used. Three solutions were prepared for the synthesis of diphenoquinone. Solution A: 10 mM sodium phosphate buffer (94 mL, pH 6.5) containing 200 mg syringol and 6 mL acetone. Solution B: 10 mM sodium phosphate buffer (100 mL, pH 6.5) containing 200 μL H2O2 (30 wt%). Solution C: 10 mM sodium phosphate buffer (100 mL, pH 6.5) containing 20 mg HRP (150–250 units per mg solid). Solutions A and B were slowly added to the solution C with/without stirring over 2 h using peristaltic pump at room temperature in the dark. After addition of solutions A and B, the mixture was further stirred for an additional 2 h. The synthesized diphenoquinone was collected by centrifugation and washed three times with deionized water, which was lyophilized to recover solid powder (yield ∼90 wt% of diphenoquinone).

Characterizations

FT-IR was conducted to analyze the chemical bonding and functional groups present in the samples using a Thermo Fisher Nicolet iS50. Nuclear magnetic resonance (NMR) spectroscopy was performed by dissolving the diphenoquinone in a deuterated form of dimethyl sulfoxide (DMSO-d6). Spectra were collected with an Agilent DD2 600 MHz spectrometer equipped with a ONE probe. Thermogravimetric analysis (TGA) was performed using a TA Instrument SDT Q600. The temperature range for the test was from 25 to 800 °C at a heating rate of 5 °C min−1. Alumina pans were used for the samples. Scanning electron microscopy (SEM) images were taken with a FE-SEM Regulus.

For liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis, a sample 3 μL was injected into Thermo vanquish HPLC system equipped with Kinetex 2.6 µm C18 column (phenomenex, 2.6 μm 100 Å, 2.1 × 100 mm). Using the mobile phase A (0.1% FA in DW) and the mobile phase B (0.1% FA in MeOH), separation was performed via following steps: 2 min of isocratic flow in 50% mobile phase B; 50% mobile phase B linear to 100% until 18 min; 10 min of isocratic flow in 100% mobile phase B; 100% mobile phase B linear to 50% for 0.01 min; 4.99 min of isocratic flow in 50% mobile phase B. The total separation was performed for 35 min, temperature of the column oven was 40 °C, and the flow rate was 0.4 mL min−1.

For MS acquisitions, a Q-Exactive mass spectrometer was utilized. The capillary temperature was set at 360 °C and ion spray energy was set to 4.5 kV in positive mode. The sheath, auxiliary, and sweep gas flow rates were set to 50, 10, 0 arbitrary units, respectively. In full MS mode, mass scans were obtained at a resolution of 17[thin space (1/6-em)]500. The automatic gain control (AGC) value was set to 1 × 105, the maximum injection time was 100 ms, and the scan range was 150–650 m/z. In Selected ion monitoring mode, the data were obtained at a resolution of 35[thin space (1/6-em)]000. The AGC value was set to 1 × 106, the maximum injection time was 50 ms, and the isolation window was 1.0 m/z. All mass spectrometry data and spectra were analyzed using Thermo Xcalibur version 4.5 SP1.

The molecular weight distributions of the diphenoquinone were measured using a Tosoh EcoSEC HLC-8320 gel permeation chromatography (GPC) system equipped with RI detector. The sample was dissolved in chloroform with a concentration of 3 mg mL−1. The columns used were Shodex LF-G (guard), two of Shodex LF-804 and Shodex KF-802.5. The column flow rate was 1.0 mL min−1 at 40 °C. The polystyrene GPC standards were used for calibration. The sample was observed using a quantitative CMOS camera (ORCA-Quest, Hamamatsu, Japan) connected to a motorized microscope (IX-73, Olympus, Japan), described in the literature.58

X-ray diffraction and pair distribution function

The total X-ray scattering data were collected at beamline P21.1 at DESY with an X-ray wavelength of 0.122 Å using a 4096 × 4096 px2 2D detector (PerkinElmer). Azimuthal integration and calibrations were performed using the pyFAI package. PDFs were generated with Qmax = 25 Å−1, Qmax,inst = 26 Å−1, Qmin = 0.1 Å−1, and rpoly = 0.9 using the xPDFsuite.59 The analysis focused on the direct assignment of peaks in the experimental G(r). Peak positions were correlated with known intramolecular bond lengths and expected intermolecular distances derived from literature values for similar organic compounds. The solid diphenoquinone samples were contained in epoxy-sealed glass capillaries with 0.5 mm diameter.

Electrochemical experiments

Cyclic voltammetry measurements in acidic environment were performed using a VersaSTAT 4 potentiostat (AMETEK) in a standard three-electrode configuration. Working electrodes were prepared by immersing a 1 cm × 1 cm piece of carbon cloth into a saturated acetone solution of the diphenoquinone (or quinhydrone), followed by air-drying to achieve physisorption of the active material onto the surface. A platinum wire served as the counter electrode, and a Ag/AgCl electrode (saturated with 3 M KCl) was used as the reference. All measurements in acidic environment were conducted in a 0.1 M H2SO4 aqueous electrolyte at a scan rate of 20 mV s−1 (data shown in Fig. S5).

The electrochemical response to N2 and CO2 was examined in a three-electrode cell configuration with an Ag/AgCl reference electrode (at 1 M KCl). The electrolyte was a 0.1 M Na2SO4 aqueous solution. The electrolyte was first deaerated by purging with N2 for 30 minutes. Subsequently, the solution was saturated with CO2 by purging for an additional 30 minutes. Cyclic voltammograms were then recorded between −0.4 V and 0.8 V vs. Ag/AgCl under a constant CO2 flow at a scan rate of 10 mV s−1 to 50 mV s−1 (data shown in Fig. 5A).

Quantitative CO2 capture and release experiments were performed in a two-compartment H-cell (50 mL total volume) separated by an anion exchange membrane. Each compartment was filled with 40 mL of 0.5 M NaCl electrolyte, leaving a 10 mL headspace. A graphite rod was used as the counter electrode. The working electrode was a carbon felt electrode either coated with the diphenoquinone or left bare for control experiments. Working electrode with diphenoquinone was fabricated using a 2 cm × 1 cm carbon felt support. An ink was prepared by mixing the redox active material (diphenoquinone/quinhydrone), PVDF binder, and CB conductive additive in a mass ratio of 8[thin space (1/6-em)]:[thin space (1/6-em)]1[thin space (1/6-em)]:[thin space (1/6-em)]1 in NMP solvent, respectively. This slurry was then applied to a masked 1 cm × 1 cm area on both sides of the carbon felt using the Doctor Blade method. The coated electrodes were subsequently dried in a vacuum oven at 100 °C to remove the NMP. An Ag/AgCl electrode (in 1 M KCl) served as the reference. The experiments were conducted using a Biologic SP-300 potentiostat in chronoamperometry mode. The electrolyte was pre-saturated with CO2 for 1 h before the reduction step, and CO2 flow was maintained during charging to ensure a constant dissolved CO2 concentration. After charging, the headspace was switched to N2 for 1 h to remove dissolved CO2, and the discharge step was then conducted under continuous N2 flow. Gas flow to the working electrode compartment was controlled using mass flow controllers and CO2 concentration in the outlet gas stream was continuously monitored using a 5% SprintIR CO2 sensor, which was protected from moisture by an in-line drying tube (Drierite).

Computational analysis

All molecular structures were fully optimized using the Gaussian 16 software package, employing density functional theory (DFT) calculations with the M06-2X meta-hybrid functional and the 6-31+G(2d,2p) basis set. The computational protocol included several parameters to ensure an accurate description of the radical species: an ultrafine integration grid was implemented to provide high numerical precision for exchange–correlation functional integration; symmetry constraints were disabled to prevent bias in spin density localization; and the extended quadratic convergence algorithm was employed to achieve stable convergence for this open-shell system.

The M06-2X functional was specifically chosen due to its superior performance in describing medium-range correlation effects and its balanced treatment of both thermochemistry and kinetics for radical species, incorporating 54% Hartree–Fock exchange, which is crucial for accurate representation of unpaired electron systems. The 6-31+G(2d,2p) basis set was selected to provide a comprehensive description of both valence and diffuse orbitals, with the diffuse functions being particularly important for the proper characterization of radical anions, and the polarization functions essential for accurate geometric and electronic properties of aromatic radical systems.

Following successful geometry optimization, comprehensive spin density analysis was performed using the Multiwfn program, which calculates spin density as the difference between alpha and beta electron densities at each point in space, providing direct quantitative insight into the spatial distribution and localization of unpaired electrons throughout the molecular framework. The spin density analysis specifically focused on four chemically relevant potential radical sites within the aromatic system: the oxygen atom, two symmetry-equivalent ortho-positioned carbon atoms, and the para-positioned carbon atom, with atomic spin populations.

Author contributions

HK: conceptualization, methodology, investigation, writing – original draft preparation. OS: methodology, investigation. SU: methodology, investigation. GSA: methodology, investigation. NTT: methodology, investigation. HC: methodology, investigation. CS: methodology, investigation. SSK: methodology, investigation. BK: methodology, investigation. KJ: methodology, investigation, writing – original draft preparation. KA: methodology, investigation, writing – review & editing KHK: conceptualization, supervision, funding acquisition, writing – review & editing. All authors approved the final manuscript.

Conflicts of interest

There are no conflicts to declare.

Data availability

The supporting data has been provided as part of the supplementary information (SI). Supplementary information: LC-MS chromatogram, photo of the synthesized products, TGA, CV and Table S1 and 2. See DOI: https://doi.org/10.1039/d5gc05304h.

Acknowledgements

This research was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) through a Discovery grant (RGPIN-2025-03990). Additional support was provided by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (RS-2025-00560264) and the Global Center program (NSERC Alliance, ALLRP 597269-24). The authors also thank Drs. Myoung-Woon Moon and Chang Soo Kim at the Korea Institute of Science and Technology for their valuable discussions on this project.

References

  1. A. D. N. Kamkeng, M. Wang, J. Hu, W. Du and F. Qian, Chem. Eng. J., 2021, 409, 128138 CrossRef CAS.
  2. M. Bui, C. S. Adjiman, A. Bardow, E. J. Anthony, A. Boston, S. Brown, P. S. Fennell, S. Fuss, A. Galindo, L. A. Hackett, J. P. Hallett, H. J. Herzog, G. Jackson, J. Kemper, S. Krevor, G. C. Maitland, M. Matuszewski, I. S. Metcalfe, C. Petit, G. Puxty, J. Reimer, D. M. Reiner, E. S. Rubin, S. A. Scott, N. Shah, B. Smit, J. P. M. Trusler, P. Webley, J. Wilcox and N. Mac Dowell, Energy Environ. Sci., 2018, 11, 1062–1176 RSC.
  3. W. Gao, S. Liang, R. Wang, Q. Jiang, Y. Zhang, Q. Zheng, B. Xie, C. Y. Toe, X. Zhu, J. Wang, L. Huang, Y. Gao, Z. Wang, C. Jo, Q. Wang, L. Wang, Y. Liu, B. Louis, J. Scott, A. C. Roger, R. Amal, H. He and S. E. Park, Chem. Soc. Rev., 2020, 49, 8584–8686 RSC.
  4. M. Mohamadi-Baghmolaei, A. Hajizadeh, P. Zahedizadeh, R. Azin and S. Zendehboudi, Energy, 2021, 214, 118715 CrossRef CAS.
  5. K. Veltman, B. Singh and E. G. Hertwich, Environ. Sci. Technol., 2010, 44, 1496–1502 CrossRef CAS PubMed.
  6. H. Kim, S. J. Hwang and K. S. Lee, Environ. Sci. Technol., 2015, 49, 1478–1485 CrossRef CAS PubMed.
  7. G. H. Choi, H. J. Song, S. Lee, J. Y. Kim, M.-W. Moon and P. J. Yoo, Nano Energy, 2023, 112, 108512 CrossRef CAS.
  8. K. M. Diederichsen, R. Sharifian, J. S. Kang, Y. Liu, S. Kim, B. M. Gallant, D. Vermaas and T. A. Hatton, Nat. Rev. Methods Primers, 2022, 2, 68 CrossRef CAS.
  9. A. M. Zito, L. E. Clarke, J. M. Barlow, D. Bím, Z. S. Zhang, K. M. Ripley, C. Li, A. Kummeth, M. E. Leonard, A. N. Alexandrova, F. R. Brushett and J. Y. Yang, Chem. Rev., 2023, 123, 8069–8098 CrossRef CAS PubMed.
  10. D. G. Kwabi, K. X. Lin, Y. L. Ji, E. F. Kerr, M. A. Goulet, D. De Porcellinis, D. P. Tabor, D. A. Pollack, A. Aspuru-Guzik, R. G. Gordon and M. J. Aziz, Joule, 2018, 2, 1894–1906 CrossRef CAS.
  11. K. X. Lin, Q. Chen, M. R. Gerhardt, L. C. Tong, S. B. Kim, L. Eisenach, A. W. Valle, D. Hardee, R. G. Gordon, M. J. Aziz and M. P. Marshak, Science, 2015, 349, 1529–1532 CrossRef CAS PubMed.
  12. M. Wu, M. Bahari, Y. Jing, K. Amini, E. M. Fell, T. Y. George, R. G. Gordon and M. J. Aziz, Batteries Supercaps, 2022, 5, e202200009 CrossRef CAS.
  13. Y. Liu, H.-Z. Ye, K. M. Diederichsen, T. Van Voorhis and T. A. Hatton, Nat. Commun., 2020, 11, 2278 CrossRef CAS PubMed.
  14. B. Gurkan, F. Simeon and T. A. Hatton, ACS Sustainable Chem. Eng., 2015, 3, 1394–1405 CrossRef CAS.
  15. K. M. Diederichsen, Y. Y. Liu, N. Ozbek, H. Seo and T. A. Hatton, Joule, 2022, 6, 221–239 CrossRef CAS.
  16. J. M. Barlow and J. Y. Yang, J. Am. Chem. Soc., 2022, 144, 14161–14169 CrossRef CAS PubMed.
  17. D. Wielend, D. H. Apaydin and N. S. Sariciftci, J. Mater. Chem. A, 2018, 6, 15095–15101 RSC.
  18. Y. Jing, K. Amini, D. Xi, S. Jin, A. M. Alfaraidi, E. F. Kerr, R. G. Gordon and M. J. Aziz, ACS Energy Lett., 2024, 9, 3526–3535 CrossRef CAS.
  19. C. Huang, C. Liu, K. Wu, H. Yue, S. Tang, H. Lu and B. Liang, Energy Fuels, 2019, 33, 3380–3389 CrossRef CAS.
  20. K. Amini, T. Cochard, Y. Jing, J. D. Sosa, D. Xi, M. Alberts, M. S. Emanuel, E. F. Kerr, R. G. Gordon and M. J. Aziz, Nat. Chem. Eng., 2024, 1, 774–786 CrossRef.
  21. S. Néron, M. Morency, L. Chen, T. Maris, D. Rochefort, R. Iftimie and J. D. Wuest, J. Org. Chem., 2022, 87, 7673–7695 CrossRef.
  22. G. S. Baviera and P. M. Donate, Beilstein J. Org. Chem., 2021, 17, 2028–2050 CrossRef CAS.
  23. A. Beaucamp, M. Muddasar, I. S. Amiinu, M. M. Leite, M. Culebras, K. Latha, M. C. Gutiérrez, D. Rodriguez-Padron, F. del Monte, T. Kennedy, K. M. Ryan, R. Luque, M. M. Titirici and M. N. Collins, Green Chem., 2022, 24, 8193–8226 RSC.
  24. K. H. Kim, T. Dutta, E. D. Walter, N. G. Isern, J. R. Cort, B. A. Simmons and S. Singh, ACS Sustainable Chem. Eng., 2017, 5, 3913–3919 CrossRef CAS.
  25. B. Zhao, M. Borghei, T. Zou, L. Wang, L.-S. Johansson, J. Majoinen, M. H. Sipponen, M. österberg, B. D. Mattos and O. J. Rojas, ACS Nano, 2021, 15, 6774–6786 CrossRef CAS.
  26. D. Barker-Rothschild, J. Chen, Z. Wan, S. Renneckar, I. Burgert, Y. Ding, Y. Lu and O. J. Rojas, Chem. Soc. Rev., 2025, 54, 623–652 RSC.
  27. Y. Cui, B. He, Y. Lei, Y. Liang, W. Zhao, J. Sun and X. Liu, Chin. J. Chem. Eng., 2023, 54, 89–97 CrossRef CAS.
  28. A. Ghorai and H. Chung, Adv. Mater., 2024, 36, 2406610 CrossRef CAS PubMed.
  29. A. Ghorai and H. Chung, Adv. Funct. Mater., 2024, 34, 2403035 CrossRef CAS.
  30. A. E. Harman-Ware, R. M. Happs, B. H. Davison and M. F. Davis, Biotechnol. Biofuels, 2017, 10, 281 CrossRef PubMed.
  31. T. Kishimoto, N. Takahashi, M. Hamada and N. Nakajima, J. Agric. Food Chem., 2015, 63, 2277–2283 CrossRef CAS PubMed.
  32. B. Saake, D. S. Argyropoulos, O. Beinhoff and O. Faix, Phytochemistry, 1996, 43, 499–507 CrossRef CAS.
  33. Á. Sánchez-González, F. J. Martín-Martínez and J. Dobado, J. Mol. Model., 2017, 23, 1–10 CrossRef PubMed.
  34. W. R. Russell, A. R. Forrester, A. Chesson and M. J. Burkitt, Arch. Biochem. Biophys., 1996, 332, 357–366 CrossRef CAS.
  35. K. Morreel, O. Dima, H. Kim, F. Lu, C. Niculaes, R. Vanholme, R. Dauwe, G. Goeminne, D. Inzé and E. Messens, Plant Physiol., 2010, 153, 1464–1478 CrossRef CAS PubMed.
  36. N. Giummarella, I. V. Pylypchuk, O. Sevastyanova and M. Lawoko, ACS Sustainable Chem. Eng., 2020, 8, 10983–10994 CAS.
  37. C. Crestini, H. Lange, M. Sette and D. S. Argyropoulos, Green Chem., 2017, 19, 4104–4121 RSC.
  38. M. Dolz, D. T. Monterrey, A. Beltrán-Nogal, A. Menés-Rubio, M. Keser, D. González-Pérez, P. G. de Santos, J. Viña-González and M. Alcalde, Methods Enzymol., 2023, 693, 73–109 CAS.
  39. S. Sasaki, T. Nishida, Y. Tsutsumi and R. Kondo, FEBS Lett., 2004, 562, 197–201 CrossRef CAS PubMed.
  40. B. Cathala and B. Monties, Int. J. Biol. Macromol., 2001, 29, 45–51 CrossRef CAS PubMed.
  41. H. Hwang, S.-J. Moon, K. Won, Y. H. Kim and J. W. Choi, J. Ind. Eng. Chem., 2015, 26, 390–395 CrossRef CAS.
  42. S.-J. Moon, M. Kwon, D. Choi, K. Won, Y. H. Kim, I.-G. Choi and J. W. Choi, Phytochemistry, 2012, 82, 15–21 CrossRef CAS PubMed.
  43. S. Wong, W. Sytnyk and J. Wan, Can. J. Chem., 1972, 50, 3052–3057 CrossRef CAS.
  44. A. E. Alegría, M. López and N. Guevara, J. Chem. Soc., Faraday Trans., 1996, 92, 4965–4968 RSC.
  45. H. Q. Le, M. Rusek and A. Katrusiak, J. Phys. Chem. C, 2023, 127, 4310–4318 CrossRef CAS.
  46. Infrared Spectrum of 3,3′,5,5′-tetramethoxy-4,4′-diphenoquinone, NIST Chemistry WebBook, https://webbook.nist.gov/cgi/inchi?ID=C493743&Mask=80.
  47. O. E. Adelakun, T. Kudanga, I. R. Green, M. le Roes-Hill and S. G. Burton, Process Biochem., 2012, 47, 1926–1932 CrossRef CAS.
  48. M. W. Terban and S. J. Billinge, Chem. Rev., 2021, 122, 1208–1272 CrossRef PubMed.
  49. V. García-Negrón, D. G. Kizzire, O. Rios, D. J. Keffer and D. P. Harper, Carbon, 2020, 161, 856–869 CrossRef.
  50. R. Parthasarathi, R. A. Romero, A. Redondo and S. Gnanakaran, J. Phys. Chem. Lett., 2011, 2, 2660–2666 CrossRef CAS.
  51. Y. Zhang, F. Huo, Y. Wang, Y. Xia, X. Tan, S. Zhang and H. He, Front. Chem., 2019, 7, 78 CrossRef PubMed.
  52. A. T. Bui, N. A. Hartley, A. J. W. Thom and A. C. Forse, J. Phys. Chem. C, 2022, 126, 14163–14172 CrossRef CAS PubMed.
  53. W. Liu, Z. Zhao, T. Li, S. Li, H. Zhang and X. Li, Sci. Bull., 2021, 66, 457–463 CrossRef CAS.
  54. J. Luo, B. Hu, M. Hu, Y. Zhao and T. L. Liu, ACS Energy Lett., 2019, 4, 2220–2240 CrossRef CAS.
  55. Z. Zhao, C. Zhang and X. Li, J. Energy Chem., 2022, 67, 621–639 CrossRef CAS.
  56. F. Simeon, M. C. Stern, K. M. Diederichsen, Y. Liu, H. J. Herzog and T. A. Hatton, J. Phys. Chem. C, 2022, 126, 1389–1399 CrossRef CAS.
  57. N. A. Hartley, S. M. Pugh, Z. Xu, D. C. Leong, A. Jaffe and A. C. Forse, J. Mater. Chem. A, 2023, 11, 16221–16232 RSC.
  58. K. Kim, S. Oh, B. L. Suh, J. Bae, M. Namkoong, Y. Kim, J. Yoon, H. Kim, S. Lim, I. S. Kim, I. G. Lee, M. W. Moon, K. Hur, W. Park and H. Cho, Adv. Mater., 2025, 37, 2404092 Search PubMed.
  59. X. Yang, P. Juhas, C. L. Farrow and S. J. L. Billinge, arXiv, 2014, arXiv:1402.3163,  DOI:10.48550/arXiv.1402.3163.

This journal is © The Royal Society of Chemistry 2026
Click here to see how this site uses Cookies. View our privacy policy here.