Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Regulation of functional groups on graphene quantum dots directs selective CO2 to CH4 conversion

Abstract

A catalyst system with dedicated selectivity toward a single hydrocarbon or oxygenate product is essential to enable the industrial application of electrochemical conversion of CO2 to high-value chemicals. Cu is the only known metal catalyst that can convert CO2 to high-order hydrocarbons and oxygenates. However, the Cu-based catalysts suffer from diverse selectivity. Here, we report that the functionalized graphene quantum dots can direct CO2 to CH4 conversion with simultaneous high selectivity and production rate. The electron-donating groups facilitate the yield of CH4 from CO2 electro-reduction while electron-withdrawing groups suppress CO2 electro-reduction. The yield of CH4 on electron-donating group functionalized graphene quantum dots is positively correlated to the electron-donating ability and content of electron-donating group. The graphene quantum dots functionalized by either –OH or –NH2 functional group could achieve Faradaic efficiency of 70.0% for CH4 at −200 mA cm−2 partial current density of CH4. The superior yield of CH4 on electron-donating group- over the electron-withdrawing group-functionalized graphene quantum dots possibly originates from the maintenance of higher charge density of potential active sites (neighboring C or N) and the interaction between the electron-donating group and key intermediates. This work provides insight into the design of active carbon catalysts at the molecular scale for the CO2 electro-reduction.

Introduction

Electrochemical upgrading of carbon dioxide (CO2) into value-added chemicals and fuels provides a potential way to close the anthropogenic carbon cycle and store renewable energy1,2,3. However, this technology is currently hampered by a lack of active catalysts to convert CO2 into a specific energy-intensive hydrocarbon product selectively. Most of the transition metals favor the competing hydrogen evolution reaction (HER). In contrast, like Au, Ag, Sn, and Bi, the others can only implement the CO2 to CO or HCOO conversion via a two-electron reduction pathway4,5,6,7. To date, among the massive amount of screened metal catalysts, only Cu-based catalysts can catalyze CO2 electro-reduction to various C1–C2 hydrocarbons (such as CH4 and C2H4) and C2+ oxygenates (such as C2H5OH and CH3COOH). Significant efforts are still required to tune Cu derivatives or develop alternative catalysts to improve a single high-order product’s selectivity and productivity.

The nanostructured carbon materials have been under development as a category of metal-free electrocatalysts due to their low cost, large specific surface area, and tunable electronic structure8,9. Unlike the metal electrocatalysts, the pristine carbon materials are chemically inert to adsorb reactants/intermediates, so it is of necessity to introduce active sites into the carbon matrix. Doping with heteroatoms (e.g., sulfur, nitrogen, boron, and phosphorus, etc.) is a general strategy to create active sites by either increasing or decreasing the charge density at the heteroatoms or their adjacent carbon atoms10,11,12,13,14,15. Using a variety of carbon nanostructures, such as carbon nanotube, carbon nanofiber, graphene, and 3D graphene foam, as a matrix, the introduction of heteroatom dopants enhances CO2 reduction activity towards CO and HCOO, which rivals the metal competitors of Ag, Au, Bi, or Sn nanoparticles8,16,17,18. However, high order products beyond the two-electron transfer pathway are hardly formed on these heteroatom-doped carbon materials8,19,20,21. Although the exact reaction mechanism is still under investigation, many first-principle calculations have implicated that the heteroatom dopants induce a strong *COOH binding energy, but a weaker *CO adsorption than the CO-selective metal catalysts8,19,20. However, further hydrogenation of the *CO to hydrocarbons or oxygenates demands stronger adsorption of *CO, which requires an active site different from those on carbon materials above22,23. Tuning either the allotrope or topological nanostructure of carbon was illustrated as a successful strategy to create active sites that can reduce CO2 into high-order products. The N-doped diamond (NDD) was reported to selectively reduce CO2 to CH3COO, while the N and B co-doped diamond (NBDD) favors the production of C2H5OH24,25. The selectivity on NDD and NBDD is attributed to the synergistic effect of the heteroatom dopants and the sp3 hybrid carbon. The cylindrical N-doped mesoporous carbon (c-NC) was also reported to be selective for the CO2 to C2H5OH conversion since the ordered channel surface stabilizes the CO* intermediates and consequently prompts the C–C coupling reaction26. Among the various topological nanostructures of carbon, the graphene quantum dots (GQDs) emerge as nanometer-sized zero-dimensional substrates featured with an enriched density of edge sites. These edge sites are subject to heteroatom-doping and functionalization, giving rise to distinct electronic structure27. The N-doped GQDs achieved a high Faradaic efficiency (FE) of 57% toward multi-carbon products and a FE of 15% toward CH4 at a total current density of −200 mA cm−2, which is among the first to realize the Cu-analogous performance on a metal-free catalyst28. The selective formation of high-order products on NGQDs is primarily due to the substantially increased amount of edge sites and enriched density of pyridinic N dopant on the edge. However, to become a practical catalyst, the GQDs need to further increase the selectivity and activity toward one product to a level of industrial relevance. Surface functionalization is another intriguing strategy besides doping to tune the catalytic activity due to its ability to modify the catalyst’s electronic structure and immobilize the adsorption of key intermediates29,30,31,32,33.

Herein, we report that the functionalized GQDs can deliver simultaneous high selectivity and activity toward CH4 from electrochemical CO2 reduction. Based on the extensive study of GQDs modified by surface functional groups of various electronic properties, we discovered that the electron-donating groups (EDGs) favor CO2 reduction to produce CH4, while the electron-withdrawing groups (EWGs) suppress CO2 reduction. On EDGs (e.g., –OH and –NH2) functionalized GQDs, CO2 is primarily converted to CH4 with a high FE of 70.0% at −200 mA cm−2 partial current density of CH4 (jCH4). On the contrary, EWGs (e.g., –COOH and –SO3) modified GQDs generate a low CO2 reduction FE of less than 20%. The enhanced yield of CH4 on EDG-functionalized over EWG-functionalized GQDs possibly originates from maintaining higher charge density of the neighboring C or N active site by EGDs and additionally immobilizing key intermediates via the EDG-intermediate electronic interaction. This work provides insight into the role of the structural environment of GQDs in modulating the selectivity and activity toward CO2 electro-reduction reaction.

Results

CO2 reduction performance of pristine-GQDs, oxidized-GQDs, and reduced-GQDs

The pristine GQDs (p-GQDs) were synthesized via a typical alkali-mediated hydrothermal molecular fusion method using nitrated pyrene as the precursor based on the previous report34. The p-GQDs were post-treated by either annealing in a dilute air stream or hydrothermal reduction in a reducing gas environment to obtain oxidized GQDs (o-GQDs) and reduced GQDs (r-GQDs), respectively (see “Methods” section for more details). The electro-catalytic activity and selectivity toward CO2 reduction were evaluated in a customized flow cell, which incorporates a cathodic gas diffusion electrode (GDE) made of the GQDs-based catalyst layer. Generally, the p-GQDs exhibit a low selectivity towards CO2 reduction while favoring the competing HER (Supplementary Fig. 1a). The overall FE of CO2 reduction products is low, only 37.0% at −0.97 V (versus RHE throughout the text). CH4 as the major product counts for a FE of 28.1% at −0.97 V, at which the jCH4 reaches −42.0 mA cm−2 (Fig. 1a and b). After oxidizing p-GQDs in the dilute air stream, the resultant o-GQDs further suppress CO2 reduction down to a total FE of 11.1% at −0.95 V (Supplementary Fig. 1b). For o-GQDs, the maximum FE of CH4 decreases to 7.9%, and the jCH4 declines to −9.2 mA cm−2 at −0.95 V. The r-GQDs, as obtained by the hydrothermal reduction of p-GQDs, show a reverse change of activity and selectivity toward CO2 reduction relative to o-GQDs. r-GQDs facilitate CO2 reduction accompanied by an anodic shift of overpotential compared to both p-GQDs and o-GQDs. r-GQDs deliver an enhanced overall FE for CO2 reduction, up to 79.5% at a more anodic potential of −0.84 V (Supplementary Figs. 1c and 2). The FE of the specific CH4 tops 64.5% at −0.84 V and jCH4 at −140.9 mA cm−2. As the potential is swept cathodically to −0.92 V, jCH4 for r-GQDs climbs to −179.6 mA cm−2, which is 4.3-times and 19.5-times as great as that of p-GQDs and o-GQDs, respectively, at a similar potential.

Fig. 1: Performance of functionalized GQDs for the electrochemical reduction of CO2.
figure1

a and b Faradaic efficiency (a) and partial current density of CH4 (jCH4) (b) as a function of applied potentials on GQDs prepared under different conditions. c The jCH4 for r-GQDs when alternatively supplying CO2 and Ar feedstocks. d The mass spectroscopy results of CO2 reduction on r-GQDs when using isotopically labeled 13CO2 as the feedstock. The insets demonstrate the m/z signals for isotopically labeled 13CH4 and 13C2H4. e and f The Faradaic efficiency of CH4 (e) and jCH4 (f) as a function of the –OH content in the p-GQDs, o-GQDs, r-GQDs, and ro-GQDs. In Fig. 1e, f, a positive correlation between CH4 production activity and –OH content was observed. The error bars represent the standard deviation from at least three independent samples.

To verify that CH4 was generated from the CO2 reduction reaction catalyzed by r-GQDs, a control experiment was performed by alternately supplying CO2 and Ar feedstocks to the cathode compartment of the flow cell. During the Ar supply, HER exclusively occurred at −0.85 V. No carbon-based products are detected in the trace of gas chromatography. Upon switching to the CO2 feedstock, HER was dramatically suppressed, whereas the CO2 reduction products, particularly the dominant product of CH4, emerged (Fig. 1c). The 13CO2 isotopic labeling experiment was also performed to study the origin of carbon-based products. When using 13CO2 as the feedstock, mass spectroscopy shows strong signals for 13C2H4 (m/z = 30) and 13CH4 (m/z = 17), which confirms that the hydrocarbon products are generated from CO2 reduction reaction (Fig. 1d). The analysis of carbon mass equivalent balance further demonstrates that the production of all carbon-based products consumed 4.57 mg of the C during the one-time chronoamperometric measurement of the r-GQDs at potentials ranging from −0.30 to −0.98 V, which is about 15.3 times the mass of GQDs catalyst (0.3 mg, see Supplementary Table 1 and Supplementary Note 1). Therefore, the hydrocarbon products are unlikely from the decomposition of the GQDs catalyst itself, further supporting that the hydrocarbon products are derived from CO2 reduction. The inductively coupled plasma mass spectroscopy (ICP-MS) analysis results reveal that the r-GQDs contain Cu impurity with a concentration of less than 0.5 μg g−1 (p.p.m.) (Supplementary Table 2). Seeking to further exclude the contribution of metal impurities in the production of CH4, a batch of clean-r-GQDs was synthesized using high purity chemicals (Supplementary Tables 3 and 4). This batch of clean-r-GQDs was washed by 1 M HNO3 (purity ≥ 99.999% trace metal basis) followed by dialysis for three days. The concentration of various metal impurities was quantified by ICP-MS, including Ag, Au, Cu, and Pd that exhibit CO2 reduction activity in the bulk state, and Fe, Ni, Co, and Zn that are effective in CO2 reduction in the single atomic state (Supplementary Table 5). Fe, Co, and Ag are the only three detectable metals, while their contents are all less than 0.40 μg g−1. Meanwhile, the low purity KOH electrolyte was replaced with the semiconductor grade KOH electrolyte. The clean-r-GQDs exhibit a FE of 65% for CH4 at −0.98 V with a jCH4 of −153 mA cm−2 (Supplementary Fig. 3), which is comparable to the prior r-GQDs tested using reagent grade KOH electrolyte. However, the electrodes loaded with the clean-r-GQDs overall contained around 5.5 μg g−1 of Cu, which comes from the gas diffusion layer (GDL) substrate itself and the laboratory environment (Supplementary Table 3). The actual Cu loading is around 47.3 ng cm−2 for the electrodes with an area density of 8.6 mg cm−2, which is still too low to catalyze the CO2 reduction with such performance35. Moreover, the GDL substrate was tested to be inert for CO2 reduction, although it contains a Cu impurity of 1.9 μg g−1 (Supplementary Fig. 4). Taken together, we conclude that the r-GQD is an active electrocatalyst for selective CO2 to CH4 conversion.

The origin of the CO2 reduction performance

The large discrepancy in CO2 reduction activity and selectivity among the three GQDs catalysts urges us to closely investigate the structure difference of GQDs to establish the structure-reactivity relation. Transmission electron microscope (TEM) images show that p-GQDs have a narrow lateral size distribution of 1–4 nm centered at 2.6 nm (Fig. 2a, b). The lateral size distribution is slightly broadened to an average of 2.8 nm for r-GQDs, while it is slightly narrowed to an average of 2.3 nm for o-GQDs. The high-resolution TEM (HRTEM) image illustrates that the benzene rings of p-GQDs are well-arranged in a honeycomb carbon framework with a lattice constant of 0.21 nm corresponding to {1 1 0 0} lattice fringes of graphene. The TEM and HRTEM images for r-GQDs and o-GQDs show that the basal morphology is preserved after the hydrothermal reduction of annealing oxidation treatment (Fig. 2c).

Fig. 2: Structural and surface characterization of the p-GQDs, o-GQDs, r-GQDs, and ro-GQDs.
figure2

ac TEM images (a), the lateral size distributions (b), and HRTEM images (c) of p-GQDs, o-GQDs, r-GQDs, and ro-GQDs (from top to bottom). Scale bar: 50 nm for Fig. 2a and 2 nm for Fig. 2c. d and e The high-resolution O 1s (d) and C 1s (e) spectra of p-GQDs, o-GQDs, r-GQDs, and ro-GQDs. f The FTIR spectra of p-GQDs, o-GQDs, r-GQDs, and ro-GQDs. The FTIR and XPS spectra together prove the prevalence of –OH groups on both r-GQDs and ro-GQDs. On the contrary, p-GQDs comprise a majority of –C=O groups, and o-GQDs have a predominance of –COOH and –C=O groups. g The Raman spectra of p-GQDs, o-GQDs, r-GQDs, and ro-GQDs, showing that these four GQDs have a similar graphitization degree.

The detailed information about the elemental states of C, O, and N in the p-GQDs, o-GQDs, and r-GQDs was extracted from the X-ray photoelectron spectroscopy (XPS) fine scan spectra. The atomic contents of N and O for p-GQDs based on N/(C + N + O) and O/(C + N + O) are 2.8 at.% and 37.2 at.%, respectively, implying a majority of O containing functionalities. The high-resolution O 1s spectrum can be deconvoluted into a major subpeak at 531.08 eV associated with O doubly bound to carbon (C=O) and a minor subpeak at 532.83 eV assigned to O singly-bound to carbon (C–O) (Fig. 2d). The C=O functionality has a high relative content of 73.4% (referred to as an atomic content of 27.3 at.%), while the C–O functionality has a low relative content of 26.6% (9.9 at.%) (Supplementary Table 6). Regarding o-GQDs, the relative content of C=O functionality further increases to 87.6%, equivalent to an atomic content of 45.1 at.%. On the contrary, r-GQDs possess a majority of C–O configuration with a percent of 84.5% (30.8 at.%) and a minority of C=O configuration with a percent of only 15.5% (5.7 at.%). The analysis results of C 1s spectra corroborate the O 1s results. The deconvolution of the C 1s spectrum of the p-GQDs reveals the configuration of carbon in graphite, carbon singly-bound to nitrogen or oxygen (C–N or C–O), and carbon doubly bound to oxygen atoms (C=O) at 284.50, 286.38, and 288.03 eV, respectively (Fig. 2e). Compared with p-GQDs, the C 1s spectrum of o-GQDs illustrates a remarkable enhanced relative content of the C=O over the C–N or C–O. Meanwhile, a big subpeak for carbon belonging to the carboxyl group (O–C=O) appears at 289.93 eV. Conversely, the C 1s spectrum of r-GQDs shows a dramatic decrease in the peak intensity of the carbonyl group (C=O) while exhibiting a significant increase for C–O. The analysis of the N 1s spectrum of the p-GQDs uncovers the existence of pyridinic N (1.2 at.%) and pyrrolic N (1.6 at.%) (Supplementary Table 6). The N dopants originate from the nitro groups in the nitrated pyrene. The atomic content of both N configurations is slightly increased for o-GQDs (pyridinic N 1.7 at.% and pyrrolic N 2.3 at.%) and r-GQDs (pyridinic N 1.4 at.% and pyrrolic N 2.5 at.%). The XPS results suggest that the surface functional groups of GQDs transform considerably while the N dopant configurations remain relatively stable during the low-temperature heat treatment process36.

Figure 2f shows the Fourier transform infrared spectroscopy (FTIR) results of the dried p-GQDs, o-GQDs, and r-GQDs powders. The strong peak at 1581 cm−1 appears on all three p-GQDs, o-GQDs, and r-GQDs, corresponding to the vibration of C=C bonds in the well-conjugated honeycomb carbon framework. The broad absorbance band at around 3380 cm−1 and the strong peak at 1340 cm−1 are ascribed to the vibration of O–H bonds and C–O bonds, respectively, indicating the existence of the –OH functional group on p-GQDs, o-GQDs, and r-GQDs37. Besides, the p-GQDs exhibit an absorbance band at 1688 cm−1 attributed to conjugated –C=O groups. This peak shifts to 1733 cm−1 on the o-GQDs, indicating a structural change to non-conjugated –COOH groups. Combining with the XPS results, the FTIR results suggest that p-GQDs mainly possess the –C=O group while both –C=O and –COOH are major functional groups present on o-GQDs. In contrast, r-GQDs are primarily modified by the –OH group.

In Raman spectra, three GQDs show a strong G-band at 1588 cm−1 and a D-band at 1356 cm−1 (Fig. 2g). The intensity ratio of D to G bands (Id/Ig) keeps at unity, which indicates that the hydrothermal reduction or oxidation treatment of p-GQDs does not create extra disorder, consistent with the well-preserved basal morphology for these three GQDs. The Raman and HRTEM results of GQDs exclude the possibility that the difference in the quantity of defects induces the catalytic performance transition from HER to CO2 reduction reaction.

Based on the characterization results above, we conclude that p-GQDs, r-GQDs, and o-GQDs all possess a graphene structure containing abundant O-containing functional groups (–OH, –C=O, and –COOH) but with a significant difference in content. Specifically, r-GQDs include mainly –OH functional group with a relative content of 84.5% among all O-containing groups, corresponding to an atomic content of 30.8 at.% referred to O/(C + N + O). The p-GQDs primarily comprise the –C=O group with a relative content of 73.4% (27.3 at.%), while o-GQDs mainly contain both –C=O and –COOH groups with a combined relative content of 87.6% (45.1 at.%). The –OH functional group differs from the –C=O and –COOH functional groups essentially in terms of the electron-donating property. The different electronic properties of functional groups can result in variance in the adjacent active sites’ electron density, leading to disparate catalytic activity. We hypothesize that the electron-donating property of the –OH functional group plays an essential role in regulating the electronic structure of the adjacent carbon and nitrogen sites that direct the CO2 to the CH4 conversion reaction.

Validation of the promotion effect of –OH functional group on CO2 reduction

To further validate that the enhanced activity and selectivity of CO2 to CH4 conversion originate from the –OH functionality, we reduced the o-GQDs using a hydrothermal treatment similar to the preparation of r-GQDs (referred to ro-GQDs). ro-GQDs preserve the graphene structure but intensively converting the –COOH and –C=O functionalities to the –OH group. TEM and HRTEM results show that ro-GQDs maintain a similar lateral size distribution to o-GQDs, as well as intact graphene crystal structure (Fig. 2a-c), which is further confirmed by a comparable degree of graphitization between the ro-GQDs and o-GQDs as shown in Raman spectra (Fig. 2g). The reduction treatment successfully switches the predominance of C and O bonding configuration from C=O for o-GQDs (87.6%) to C-O for ro-GQDs (72.0%) (Fig. 2d, e). The FTIR result supports that the C–O bonding is due to the modification of the –OH functional group to the carbon (Fig. 2f). Thus, the ro-GQDs have an atomic content of 25.6 at.% of the –OH functional group. ro-GQDs show comparable CO2 reduction selectivity and activity to r-GQDs, forming CH4 as the primary product (Supplementary Fig. 5). For ro-GQDs, the FE of CH4 reaches a maximum of 70.0% at −0.90 V, at which the jCH4 achieves −200 mA cm−2. ro-GQDs also yield a noticeable amount of multi-carbon products with a FE of 12.0%. We plot the atomic content of –OH functional group versus the FE of CH4 and jCH4 at −0.90 V for the four aforementioned GQDs samples in Fig. 1e, f, respectively. A positive dependence of the FE and production rate of CH4 on the atomic content of –OH is observed. In contrast, both the FE and production rate of CH4 decline as the atomic content of –COOH or –C=O increases (Supplementary Fig. 6).

Classification of the functional groups

To further verify the general efficacy of electron-donating groups on CO2 electro-reduction, the amino group (–NH2), which has stronger electron-donating capability than the –OH group, was decorated onto the GQDs via introducing amino group precursors during the synthesis of p-GQDs. Two samples of NH2-functionalized GQDs were prepared using two different functionalization precursors (NH3·H2O and N2H4). Both NH2-functionalized GQDs samples exhibit the same basal honeycomb graphene structure with similar lateral size distribution and defect extent (Fig. 3a, b, and Supplementary Fig. 7). The successful decoration of –NH2 functional group to the GQDs is evidenced by the multiple bands in the range of 3000–3400 cm−1 in the FTIR spectra (Fig. 3c)30. However, the –NH2 content varies by choosing the different precursors. The precursor of NH3·H2O results in a lower –NH2 content (denoted as GQD-NH2-L), while N2H4 tends to introduce a higher –NH2 content (denoted as GQD-NH2-H). The GQD-NH2-L contains a total of N atomic content of 18.6 at.% as revealed by the N 1s spectra analysis, for which the pyridinic N and the amine N account for 1.3 and 3.9 at.%, respectively (Fig. 3d, e). The total N atomic content increases to 28.5 at.% for GQD-NH2-H, in which the pyridinic N and the amine N constitute 3.0 and 8.0 at.%, respectively (Fig. 3d, e). The O 1s spectra for both GQDs-NH2-L and GQD-NH2-H show a predominance of C=O configuration. Both GQDs-NH2-L and GQD-NH2-H have a minority of C–O with a small and identical atomic content of 2.7 at.%, which excludes the possibility that the difference in –OH content results in the discrepancy of CO2 reduction performance.

Fig. 3: Characterization results of the two –NH2 functionalized GQDs.
figure3

a and b The TEM images and HRTEM images (insets) of GQD-NH2-L (a) and GQD-NH2-H (b), respectively. Scale bar: 50 nm for the TEM in Fig. 3a, 20 nm for the TEM in Fig. 3b, and 2 nm for the HRTEM in Fig. 3a and b. c FTIR spectra of GQD-NH2-L and GQD-NH2-H, showing the existence of –NH2 functional group. d and e High-resolution N 1s (d) and C 1s (e) spectra of GQD-NH2-L and GQD-NH2-H.

Both NH2-functionalized GQDs produce CH4 as a predominant product like OH-functionalized GQDs (Fig. 4a, b, and Supplementary Fig. 8). The production efficiency and rate of CH4 are positively related to the atomic content of –NH2 group. The GQD-NH2-H, including an atomic content of 8.0 at.% for –NH2, generates a FE of CH4 as high as 70.0% at −0.95 V and jCH4 of −201 mA cm−2. When the –NH2 atomic content is reduced to 3.9 at.% in GQD-NH2-L, the maximum FE of CH4 falls to 48.0%, accompanied by a drop of jCH4 to −132 mA cm−2 at −0.95 V. Note that the GQD-NH2-H exhibits CH4 production activity comparable to both r-GQDs and ro-GQDs, although it contains a much lower content of EDG. This result indicates that the stronger the electron-donating capability is, the more the production efficiency and rate of CH4 are promoted. Note that a clean-GQD-NH2-H catalyst loaded GDE shows similar activity and selectivity towards CH4 as the GQD-NH2-H-based GDE (Supplementary Fig. 3 and Supplementary Table 3). Both OH-functionalized and NH2-functionalized GQDs exhibit a higher FE of CH4 and lower overpotential than most state-of-the-art CH4-selective metal catalysts (Supplementary Fig. 9). In a ten-hour long-term test for GQD-NH2-H under −0.95 V, the jtotal and FE of CH4 experienced no discernible degradation, which indicates good structural stability of the active sites in GQD-NH2-H (Fig. 4c).

Fig. 4: CO2 electrochemical reduction results for two NH2-functionalized GQDs.
figure4

a and b Faradaic efficiency of CH4 (a) and jCH4 (b) as a function of applied potential for GQD-NH2-H (a) and GQD-NH2-L (b). c The ten-hour performance of GQD-NH2-H tested under −0.95 V. The error bars represent the standard deviation from at least three independent samples.

Another control experiment was carried out based on the EWG (-SO3) functionalized GQDs (denoted as GQD-SO3). The GQD-SO3 was synthesized by introducing Na2SO3 during the synthesis of p-GQDs (see “Methods” section for more details). The XPS and FTIR results confirm that the –SO3 group is successfully decorated onto GQDs, with a total atomic content of 10.9 at.% based on the S/(C + S + O) (Supplementary Table 6 and Supplementary Fig. 10). In addition, the dramatic decrease of the C=O peak in the C 1s spectrum suggests the negligible content of –COOH group (Supplementary Fig. 10d). GQD-SO3 has the same graphene structure and comparable lateral size distribution as all the GQDs mentioned above (Supplementary Fig. 10a–c). Analogous to o-GQDs, GQD-SO3 favors HER over CO2 reduction. The overall selectivity to CO2 reduction is only 15.9% at −0.86 V (Supplementary Fig. 11). These results confirm that, in general, the EWDs are detrimental to CO2 reduction on GQD catalysts.

Discussion

The functionalization of EDGs (e.g., –OH and –NH2) onto GQDs promotes the CO2 to CH4 conversion. Conversely, the functionalization of EWDs (e.g., COOH and –SO3) onto GQDs suppresses CO2 reduction activity. The EDG possibly facilitates the CO2 to CH4 conversion via the two following mechanisms. Firstly, the surface functionalities adjust the electronic structure of active sites, leading to different catalytic activities. The electronic structure of active sites governs the interaction between the active sites and the adsorbates. A higher electron density will give into a higher anti-bond state, and a lower occupancy after interacting with adsorbates, which subsequently leads to stronger surface adsorption11,14,38. Charge density difference and Hirshfeld charge were employed to correlate the surface functionalization with the electronic structure of active sites (see “Methods” section and Supplementary Note 2). Eight different groups of GQD substrate models, including 23 possible active site configurations, were explored to virtually examine the impact of the electron affinity of functional group, density and position of the functional group or N-dopant, and morphological defect (Supplementary Figs. 1217). The results of charge density difference qualitatively illustrate that the effect of a functional group on charge density is restricted to a short distance of about 5 Å from the functional group (Supplementary Fig. 18). Quantitatively, the Hirshfeld charge accurately describes the charge distribution on the substrate before and after the functionalization. The active sites adjacent to the functional group are denoted as positions 1 to 5 as the distance increases (Supplementary Fig. 19). The charge density of each position is determined by both conjugation and inductive effect of functional group and N-dopant, while one of the two effects dominates. Generally, the conjugation effect of the functional group prevails on all the neighboring C and N; so that the charge density increases with the functionalization of EDGs. However, the local charge density is also determined by the inductive effect. For example, the charge density of C at position-1 (bonding with the functional group) significantly depresses due to the high electronegativity of N in –NH2 or O in –OH functional groups. Moreover, the charge density of the N-dopant site illustrates an equilibrium between the conjugation (donating electrons) and inductive (withdrawing electrons) effect. Therefore, among all the simulated configurations, the electron affinity (affecting the conjugation effect) along with the position (affecting the inductive effect) of the functional group plays a leading role in affecting the charge density compared to the densities of the functional group and N-dopant (Supplementary Fig. 20). For example, the charge density of N on position-2 of the functional group follows an order of GQD-NH2 > GQD-OH > blank GQD > GQD-COOH, agreeing with the trend of the electron affinity of functional groups (Supplementary Fig. 16). However, for the N on position-3 after functionalization, the charge density is depressed compared with blank GQD but still follows an order of GQD-NH2 > GQD-OH > GQD-COOH (Supplementary Fig. 12).

The charge density alone cannot identify the position of the active site. Note that the active site on position-2 may have steric hindrance. According to the DFT computed reaction free energy diagram based on simplified models for a fair comparison, the energy barrier of the rate-determining step (RDS) increases on the assumed N or C active site on position-2 for all the NH2-functionalized, OH-functionalized, and COOH-functionalized GQDs compared with the blank GQD (Supplementary Figs. 21 and 22). Conversely, when the N or C active site locates at position 3, the energy barrier of RDS decreases and follows the order of blank GQD > GQD-COOH > GQD-OH > GQD-NH2, consistent with the observed trend of CO2 reduction activity (Supplementary Figs. 23 and 24). The visual schematics of each elementary step are demonstrated in Supplementary Figs. 2537. The DFT computed energy landscape also implies that the reaction pathway of CO2-to-CH4 conversion on N is thermodynamically more favorable than that on C (Supplementary Fig. 38). However, it cannot exclude C as an active site. Hence, the order of CO2 reduction activity is consistent with the sequence of the charge density of either N or C active sites at position-3 among the GQD-COOH, GQD-OH, and GQD-NH2. However, the charge density-activity relation is not straightforward between blank GQD and functionalized GQD, indicating a second essential factor that determines the CO2 reduction activity as well.

The second factor is that the surface functionality contributes to the stabilization of adsorbates. The free energy diagram of CO2-to-CH4 conversion occurring on N at position-3 identifies two key intermediates of *COOH and *CH2O. The charge density difference visualizes the adsorption of these two intermediates on the pyridinic N for blank and NH2-functionalized GQDs (Supplementary Fig. 39). Regarding *CH2O adsorption on the pyridinic N of GQD-NH2, the orientation of *CH2O rotates significantly, and the O atom in *CH2O points to the –NH2 group. That means the –NH2 group participates in the adsorption of *CH2O by attracting the O atom of *CH2O.

It is noteworthy that the *CO and *CH2O intermediates are not chemisorbed on either N or C in these simulations above, which might be induced by the discrepancy between the simulated active sites and the actual active sites. The CO reduction performance (Supplementary Figs. 40 and 41) supports the chemisorption of *CO. The CO reduction gives similar product distribution as the CO2 reduction, indicating that the *CO is a crucial reaction intermediate. The lower jCH4 in CORR relative to CO2RR results from the sluggish CO mass transport due to lower CO solubility in water (0.98 mM for CO versus 33 mM for CO2 at 25 °C and ambient pressure). The similar overpotential for CH4 formation between CORR and CO2RR suggests that the CO2-to-CO conversion is not the rate-determining step. Further modification of the model is required to elucidate the *CO and *CH2O adsorption mechanisms. Taking the NH2-functionalized GQDs as an example, 13 configurations, which have a varying number and position of functional group, morphological defect, and different relative positions of two N dopants, were explored to find the ‘best’ site for *CO adsorption (Supplementary Fig. 42 and Supplementary Table 7). The functional group’s density and position play a crucial role in affecting the *CO adsorption energy. The configuration comprising two –NH2 groups adsorbs *CO stronger on pyridinic N (−0.357 eV) than the rest 12 structures (Supplementary Fig. 42b). However, the *CO is still not chemisorbed on the N active site. Since the adsorption strength of species on the substrate is a function of the applied potential39,40,41, the model was further modified by injecting seven electrons, equivalent to applying an electrostatic potential of −5 mV42,43,44. The *CO and *CH2O, which are initially physisorbed on the neutral substrate, are now chemisorbed with an adsorption energy of −0.98 and −1.55 eV, respectively (Supplementary Fig. 43). Besides, the adsorption energy of CH4 is barely affected, indicating free desorption under the negatively charged substrate.

It is worth noting that the EDGs such as –NH2 and –OH facilitate the production of C2 products (up to 12% FE) compared to EGWs like –COOH (3% FE) (Supplementary Fig. 44). The formation of C2 products possibly occurs at the pyridinic N site, as previously reported28. The –NH2 group potentially has stronger promotion than –OH due to the stronger electron-donating ability. Besides, the FE and partial current density of C2 products tend to increase with the content of –OH and –NH2 groups.

In summary, we developed metal-free surface-functionalized GQDs to accomplish the electro-reduction of CO2 to hydrocarbon products, which competes with state-of-the-art Cu catalysts in terms of production efficiency and rate. The distinct effect between EDGs and EWGs on the selectivity and activity towards CO2 reduction was unraveled. That is, the EDGs facilitate the CO2 reduction, especially toward the production of CH4, while the EWGs favor the competing HER. Although the underlying mechanism remains elusive due to the limitation of the characterization techniques, the DFT calculations point to the reaction pathway of CO2-to-CH4 conversion on EDGs functionalized GQDs. Both N and C adjacent to EDGs are potential active sites, whereas the N exhibits higher activity than C. The EGDs maintain a higher charge density of neighboring N and C and stabilize key intermediates via electronic interaction, which in synergy leads to enhanced CH4 selectivity and productivity. The carbon-based materials have emerged as an alternative class of catalysts to catalyze CO2 electro-reduction to hydrocarbons and oxygenates. Further understanding of the origin of active sites will guide the rational design of carbon-based catalysts at the molecular level. “It is worth noting that it is unlikely that Cu alone is responsible for the observed activity and selectivity towards CO2-to-CH4 conversion, however, the current dataset cannot unequivocally confirm this in this study. In addition, the possible synergy between trace Cu and GQDs warrants further study.”

Methods

Materials synthesis

The p-GQDs were synthesized following a typical route of molecular fusion34. The chemical information and Cu concentration quantified by ICP-MS are provided in Supplementary Table 4. In brief, a yellow 1,3,6-trinitropyrene was first synthesized using pyrene and HNO3. Then, 0.10 g of the as-prepared 1,3,6-trinitropyrene was dispersed in a mixture solution of 1 mL 2 M NaOH and 9 mL DI water under stirring. The suspension was then transferred to a 25 mL autoclave followed by heating to 180 °C in an oven and maintaining at that temperature for 12 h. Afterward, the autoclave was naturally cooled down to room temperature. The mixture solution after the reaction was filtered through a 0.22 μm microporous membrane to remove byproduct solids, leading to obtaining p-GQDs solution. After dialysis for three days, the p-GQDs suspension was dried at 80 °C for further measurement. GQD-NH2-L, GQD-NH2-H, and GQD-SO3 were prepared in the same way as p-GQDs, except that the NaOH was replaced by NH3·H2O, N2H4, and Na2SO3, respectively.

r-GQDs, o-GQDs, and ro-GQDs were all prepared based on p-GQDs. The r-GQDs were prepared via a typical hydrothermal method. Briefly, 20.0 mg of the p-GQDs powder was dispersed in a mixed solution of 5.0 mL deionized water and 25.0 mL dimethylformamide under stirring. Then, the suspension was transferred to a 50 mL autoclave and heated at 200 °C for 10 h. The as-prepared r-GQDs suspension was then filtered in an identical process to p-GQDs. Then, the suspension was dried at 80 °C in a vacuum to get the powder. The o-GQDs were prepared by a precisely controlled oxidation process. 40.0 mg of p-GQDs powder was ground and then put into a tube furnace. A mixed gas stream was fed to the tube furnace at 200.0 sccm, comprised of 99.8% of N2 and 0.2% air controlled by two mass flow controllers, respectively. After purging for two hours, the temperature was increased to 400 °C in a ramp of 10 °C min−1 and then maintained for two hours. The obtained black powder was then dissolved in water and centrifuged under 13751 × g to remove the sediments. The o-GQDs were obtained after drying under 80 °C. The ro-GQDs were prepared in the same way as r-GQDs, except that using o-GQDs as the precursor.

Materials characterization

The morphology and crystallinity of GQDs were characterized by a JEM-2100F electron microscope operating at 200 kV. The Raman spectra were taken with a Renishaw inVia microscope with 514 nm Ar-ion laser excitation. XPS measurements were conducted using PHI Quantera with Al-Kα X-ray source. The Cu content on each of the GQDs and GDEs loaded with GQDs were determined by the inductively coupled plasma optical emission spectroscopy (ICP-MS, PerkkinElmer-Optima 2000DV). First, more than 20 mg samples were submerged by the 500 μL concentrated nitric acid in a digestion vial. Then, cap the digestion vial and pre-digest at 65 °C for 30 min, followed by 1-h digestion at 130 °C. After cooling to room temperature, 200 μL of the H2O2 (30% v/v) was added to the vial. After that, the sample was further digested at 130 °C for 1 h, then at 70 °C overnight, and then at 150 °C for 1 h. Next, add 200 μL of H2O2 and heat at 130 °C for 10 min. Dilute the sample volume to 10 mL and add internal standard (Yttrium, High Purity Standards Inc.) before the quantification. The ICP-MS results were normalized by the sample weight to get the final Cu content in the unit of ng g−1. The Cu content in GQDs and GDEs loaded with GQDs are tabulated in Supplementary Tables 2 and 3. The FT-IR spectra for all GQD samples were performed on the Nicolet 6700 FTIR Spectrophotometer.

Electrochemical test of the CO2 reduction reaction

The catalyst ink was made of 2.0 mg of the GQD powder, 5.6 μL of the Nafion solution (Sigma, Nafion 117, 5 wt%), and solvent of isopropanol (500.0 μL) and water (500.0 μL). The as-prepared catalyst ink was sonicated for 30 min before spray-coating onto a gas diffusion layer (Sigracet 34BC and 39BB, 4.0 cm2 with an active area of 1.0 cm2). The CO2 reduction was carried out in a homemade flow cell. The CO2 feedstock with a flow rate of 15.00 sccm was controlled by a mass flow controller (MFC, Alicat Scientific MC). The catholyte (1 M KOH) and anolyte (1 M KOH) with a flow rate of 0.5 mL min−1 were both controlled by a peristaltic pump (Harvard apparatus, P70-7000). The cell voltage was controlled in a potentiostatic mode, while the cathode potential was simultaneously measured by the multi-channel function of EnergyLab XM (Solartron Analytical). The gas product stream was mixed with a constant stream of Ar (10.00 sccm) at the electrolyzer outlet and then injected into GC (Agilent 7890B) for quantitative analysis. The CO2 outlet flow rate was calibrated by the Ar stream according to our previous work45,46. The yield and Faradaic efficiency of each gas product were calculated based on the CO2 outlet flow rate. The liquid products were collected at the outlet of the catholyte and then quantified by 400 MHz 1H NMR (Bruker 400).

DFT calculation

All the data were calculated from DFT by the Vienna ab initio Simulation Package (VASP)46,47,48. The exchange-correlation functional was established by the Perdew-Burke-Ernzerhof (PBE) method. The energy cutoff for plane-wave expansion was set to 400 eV. All the structures were calculated using Gaussian smearing (SIGMA = 0.05 eV) and relaxed until the forces and the energy tolerances become less than 0.01 eV/Å and 10−5 eV/atom, respectively. The DFT calculations were implemented in periodic boxes of 20.1 Å × 15.5 Å × 20.0 Å for blank and functionalized GQDs. The distance between the edge structure and its neighbors is at least 6 Å. Thus, the interaction between the structures can be ignored.

Data availability

We declare that all other data supporting the findings of this study are available within the article and Supplementary Information files, and are also available from the corresponding authors upon reasonable request. Source data are provided with this paper.

References

  1. 1.

    Verma, S., Kim, B., Jhong, H. R., Ma, S. & Kenis, P. J. A gross-margin model for defining technoeconomic benchmarks in the electroreduction of CO2. ChemSusChem 9, 1972–1979 (2016).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  2. 2.

    Jouny, M., Hutchings, G. S. & Jiao, F. Carbon monoxide electroreduction as an emerging platform for carbon utilization. Nat. Catal. 2, 1062–1070 (2019).

    CAS  Article  Google Scholar 

  3. 3.

    Jouny, M., Luc, W. W. & Jiao, F. A General techno-economic analysis of CO2 electrolysis systems. Ind. Eng. Chem. Res. 57, 2165–2177 (2018).

    CAS  Article  Google Scholar 

  4. 4.

    Clark, E. L. et al. Influence of atomic surface structure on the activity of Ag for the electrochemical reduction of CO2 to CO. ACS Catal. 9, 4006–4014 (2019).

    CAS  Article  Google Scholar 

  5. 5.

    Li, J. et al. Efficient electrocatalytic CO2 reduction on a three-phase interface. Nat. Catal. 1, 592–600 (2018).

    CAS  Article  Google Scholar 

  6. 6.

    Han, N. et al. Ultrathin bismuth nanosheets from in situ topotactic transformation for selective electrocatalytic CO2 reduction to formate. Nat. Commun. 9, 1320 (2018).

    ADS  PubMed  PubMed Central  Article  CAS  Google Scholar 

  7. 7.

    Lee, W., Kim, Y. E., Youn, M. H., Jeong, S. K. & Park, K. T. Catholyte-free electrocatalytic CO2 reduction to formate. Angew. Chem. Int. Ed. 57, 6883–6887 (2018).

    CAS  Article  Google Scholar 

  8. 8.

    Wu, J., Sharifi, T., Gao, Y., Zhang, T. & Ajayan, P. M. Emerging carbon-based heterogeneous catalysts for electrochemical reduction of carbon dioxide into value-added chemicals. Adv. Mater. 31, e1804257 (2019).

    PubMed  Article  CAS  PubMed Central  Google Scholar 

  9. 9.

    Kumar, B. et al. Renewable and metal-free carbon nanofibre catalysts for carbon dioxide reduction. Nat. Commun. 4, 2819 (2013).

    ADS  Article  CAS  Google Scholar 

  10. 10.

    Zheng, Y. et al. Hydrogen evolution by a metal-free electrocatalyst. Nat. Commun. 5, 3783 (2014).

    ADS  PubMed  Article  Google Scholar 

  11. 11.

    Jiao, Y., Zheng, Y., Davey, K. & Qiao, S.-Z. Activity origin and catalyst design principles for electrocatalytic hydrogen evolution on heteroatom-doped graphene. Nat. Energy 1, 16130 (2016).

    ADS  CAS  Article  Google Scholar 

  12. 12.

    Lu, Z. et al. High-efficiency oxygen reduction to hydrogen peroxide catalysed by oxidized carbon materials. Nat. Catal. 1, 156–162 (2018).

    CAS  Article  Google Scholar 

  13. 13.

    Yang, L. et al. Boron-doped carbon nanotubes as metal-free electrocatalysts for the oxygen reduction reaction. Angew. Chem. Int. Ed. 50, 7132–7135 (2011).

    CAS  Article  Google Scholar 

  14. 14.

    Jiao, Y., Zheng, Y., Jaroniec, M. & Qiao, S. Z. Origin of the electrocatalytic oxygen reduction activity of graphene-based catalysts: a roadmap to achieve the best performance. J. Am. Chem. Soc. 136, 4394–4403 (2014).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  15. 15.

    Guo, D. et al. Active sites of nitrogen-doped carbon materials for oxygen reduction reaction clarified using model catalysts. Science 351, 361–365 (2016).

    ADS  CAS  PubMed  Article  Google Scholar 

  16. 16.

    Jhong, H. M. et al. A nitrogen-doped carbon catalyst for electrochemical CO2 conversion to CO with high selectivity and current density. ChemSusChem 10, 1094–1099 (2017).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  17. 17.

    Tomisaki, M., Natsui, K., Ikemiya, N., Nakata, K. & Einaga, Y. Influence of electrolyte on the electrochemical reduction of carbon dioxide using boron-doped diamond electrodes. ChemistrySelect 3, 10209–10213 (2018).

    CAS  Article  Google Scholar 

  18. 18.

    Zhang, S. et al. Polyethylenimine-enhanced electrocatalytic reduction of CO2 to formate at nitrogen-doped carbon nanomaterials. J. Am. Chem. Soc. 136, 7845–7848 (2014).

    CAS  PubMed  Article  Google Scholar 

  19. 19.

    Wu, J. et al. Achieving highly efficient, selective, and stable CO2 reduction on nitrogen-doped carbon nanotubes. ACS Nano 9, 5364–5371 (2015).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  20. 20.

    Wu, J. et al. Incorporation of nitrogen defects for efficient reduction of CO2 via two-electron pathway on three-dimensional graphene foam. Nano Lett. 16, 466–470 (2016).

    ADS  CAS  PubMed  Article  PubMed Central  Google Scholar 

  21. 21.

    Sreekanth, N., Nazrulla, M. A., Vineesh, T. V., Sailaja, K. & Phani, K. L. Metal-free boron-doped graphene for selective electroreduction of carbon dioxide to formic acid/formate. Chem. Commun. 51, 16061–16064 (2015).

    CAS  Article  Google Scholar 

  22. 22.

    Vasileff, A., Xu, C., Jiao, Y., Zheng, Y. & Qiao, S.-Z. Surface and interface engineering in copper-based bimetallic materials for selective CO2 electroreduction. Chem 4, 1809–1831 (2018).

    CAS  Article  Google Scholar 

  23. 23.

    Liu, X. et al. Understanding trends in electrochemical carbon dioxide reduction rates. Nat. Commun. 8, 15438 (2017).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  24. 24.

    Liu, Y. et al. Selective electrochemical reduction of carbon dioxide to ethanol on a boron- and nitrogen-co-doped nanodiamond. Angew. Chem. Int. Ed. 56, 15607–15611 (2017).

    CAS  Article  Google Scholar 

  25. 25.

    Liu, Y., Chen, S., Quan, X. & Yu, H. Efficient electrochemical reduction of carbon dioxide to acetate on nitrogen-doped nanodiamond. J. Am. Chem. Soc. 137, 11631–11636 (2015).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  26. 26.

    Song, Y. et al. Metal‐free nitrogen‐doped mesoporous carbon for electroreduction of CO2 to ethanol. Angew. Chem. 56, 10840–10844 (2017).

    CAS  Article  Google Scholar 

  27. 27.

    Zou, X. et al. How nitrogen-doped graphene quantum dots catalyze electroreduction of CO2 to hydrocarbons and oxygenates. ACS Catal. 7, 6245–6250 (2017).

    CAS  Article  Google Scholar 

  28. 28.

    Wu, J. et al. A metal-free electrocatalyst for carbon dioxide reduction to multi-carbon hydrocarbons and oxygenates. Nat. Commun. 7, 13869 (2016).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  29. 29.

    Zhang, X. et al. Molecular engineering of dispersed nickel phthalocyanines on carbon nanotubes for selective CO2 reduction. Nat. Energy 5, 684–692 (2020).

    ADS  CAS  Article  Google Scholar 

  30. 30.

    Meng, N., Zhou, W., Yu, Y., Liu, Y. & Zhang, B. Superficial hydroxyl and amino groups synergistically active polymeric carbon nitride for CO2 electroreduction. ACS Catal. 9, 10983–10989 (2019).

    CAS  Article  Google Scholar 

  31. 31.

    Jiang et al. Amine-functionalized holey graphene as a highly active metal-free catalyst for the oxygen reduction reaction. J. Mater. Chem. A 2, 441–450 (2014).

    CAS  Article  Google Scholar 

  32. 32.

    Coskun, H. et al. Biofunctionalized conductive polymers enable efficient CO2 electroreduction. Sci. Adv. 3, e1700686 (2017).

    ADS  PubMed  PubMed Central  Article  CAS  Google Scholar 

  33. 33.

    Yang, F., Ma, X., Cai, W.-B., Song, P. & Xu, W. Nature of oxygen-containing groups on carbon for high-efficiency electrocatalytic CO2 reduction reaction. J. Am. Chem. Soc. 141, 20451–20459 (2019).

    CAS  PubMed  Article  Google Scholar 

  34. 34.

    Wang, L. et al. Gram-scale synthesis of single-crystalline graphene quantum dots with superior optical properties. Nat. Commun. 5, 5357 (2014).

    ADS  CAS  PubMed  Article  Google Scholar 

  35. 35.

    Lum, Y. et al. Trace levels of copper in carbon materials show significant electrochemical CO2 reduction activity. ACS Catal. 6, 202–209 (2016).

    CAS  Article  Google Scholar 

  36. 36.

    Sharifi, T., Hu, G., Jia, X. & Wagberg, T. Formation of active sites for oxygen reduction reactions by transformation of nitrogen functionalities in nitrogen-doped carbon nanotubes. ACS Nano 6, 8904–8912 (2012).

    CAS  PubMed  Article  Google Scholar 

  37. 37.

    Zhu, J. et al. Surface zwitterionic functionalized graphene oxide for a novel loose nanofiltration membrane. J. Mater. Chem. A 4, 1980–1990 (2016).

    CAS  Article  Google Scholar 

  38. 38.

    Paulus, G. L., Wang, Q. H. & Strano, M. S. Covalent electron transfer chemistry of graphene with diazonium salts. Acc. Chem. Res. 46, 160–170 (2013).

    CAS  PubMed  Article  Google Scholar 

  39. 39.

    Nørskov, J. K. et al. Origin of the overpotential for oxygen reduction at a fuel-cell cathode. J. Phys. Chem. B 108, 17886–17892 (2004).

    Article  CAS  Google Scholar 

  40. 40.

    Rossmeisl, J. et al. Calculated phase diagrams for the electrochemical oxidation and reduction of water over Pt (111). J. Phys. Chem. B 110, 21833–21839 (2006).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  41. 41.

    Koper, M. T. M. & van Santen, R. A. Electric field effects on CO and NO adsorption at the Pt (111) surface. J. Electroanal. Chem. 476, 64–70 (1999).

    CAS  Article  Google Scholar 

  42. 42.

    Siria, A. et al. Giant osmotic energy conversion measured in a single transmembrane boron nitride nanotube. Nature 494, 455–458 (2013).

    ADS  CAS  PubMed  Article  PubMed Central  Google Scholar 

  43. 43.

    Tan, X., Tahini, H. A. & Smith, S. C. Borophene as a promising material for charge-modulated switchable CO2 capture. ACS Appl. Mater. Interfaces 9, 19825–19830 (2017).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  44. 44.

    Li, X. et al. Charge-modulated CO2 capture of C3N nanosheet: insights from DFT calculations. Chem. Eng. J. 338, 92–98 (2018).

    CAS  Article  Google Scholar 

  45. 45.

    Zhang, T., Li, Z., Zhang, J. & Wu, J. Enhance CO2-to-C2+ products yield through spatial management of CO transport in Cu/ZnO tandem electrodes. J. Catal. 387, 163–169 (2020).

    CAS  Article  Google Scholar 

  46. 46.

    She, X. et al. Tandem electrodes for carbon dioxide reduction into C2+ products at simultaneously high production efficiency and rate. Cell Rep. Phys. Sci. 1, 100051 (2020).

    Article  Google Scholar 

  47. 47.

    Kresse, G. & Furthmüller, J. Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set. Phys. Rev. B 54, 11169 (1996).

    ADS  CAS  Article  Google Scholar 

  48. 48.

    Kresse, G. & Furthmüller, J. Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set. Comput. Mater. Sci. 61, 15–50 (1996).

    Article  Google Scholar 

Download references

Acknowledgements

This work was financially supported by the University of Cincinnati’s new faculty start-up funding and Office of Research Collaborative Grants: Track 1-PILOT Program from the University of Cincinnati.

Author information

Affiliations

Authors

Contributions

J.W. and L.W. conceived the idea. L.W., W.L., H.G., and T.Z. prepared the samples. T.Z. designed and performed the experiments with the help of Z.L., Y.F., R.M.Y., V.S., and P.M.A., K.H. and C.L. performed the theoretical calculation. J.W. and T.Z. wrote the manuscript. J.W. supervised the project. All authors analyzed the data and commented on the manuscript.

Corresponding authors

Correspondence to Liang Wang, Cheng Lian or Jingjie Wu.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Peer review information Nature Communications thanks the anonymous reviewers for their contribution to the peer review of this work. Peer reviewer reports are available.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Source data

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Zhang, T., Li, W., Huang, K. et al. Regulation of functional groups on graphene quantum dots directs selective CO2 to CH4 conversion. Nat Commun 12, 5265 (2021). https://doi.org/10.1038/s41467-021-25640-1

Download citation

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing