Danny Illera-Perozo†
*a,
Humberto Gomez-Vegaa and
Manoj Ramb
aDepartment of Mechanical Engineering, Universidad Del Norte, km 5 Vía Puerto Colombia, Barranquilla, Atlántico 081007, Colombia
bPolyMaterials APP, LLC, Tampa, FL 33612, USA
First published on 25th March 2022
Continuous adoption of renewable energy sources and the proliferation of electric transportation technologies push towards sustainable energy storage solutions. Consequently, a solution-based up-scalable synthesis approach is developed for polymeric quinone composites with graphene. Cellulose nanocrystals play a vital role in achieving greener processing and improving the composite electrochemical energy storage performance. The synthesis method emphasizes using aqueous reaction media, incorporates low-cost and biomass-derived feedstocks, avoids critical or scarce materials, and maintains temperatures below 200 °C. Stable aqueous graphene dispersions were obtained by hydrothermal reduction of electrochemically exfoliated graphene oxide in the presence of cellulose nanocrystals. Dispersions served as a reaction medium for quinone cationic polymerization, leading to core–shell type structures of polymer-covered mono-to-few layer graphene, thanks to the nanosheet restacking prevention effect provided by cellulose nanocrystal dispersions. A sample consisting of 5 wt% cellulose nanocrystals and 5 wt% graphene achieved storage metrics of 720.5 F g−1 and 129.6 mA h g−1 at 1 A g−1, retaining over 70% of the performance after 1000 charge/discharge cycles.
A solution-based approach to synthesizing a quinone-based polymer composite with graphene and cellulose nanocrystals is described herein. The synthesis protocol is based on the twelve principles developed by Arbabzadeh et al. to design and apply green energy storage to the grid.8 The protocol characterizes: (a) aqueous reaction media, (b) inclusion of low-cost and biomass-derived feedstock, (c) avoidance of critical materials, and (d) processing temperatures below 250 °C. Regarding electrochemical performance, simultaneous polymerization and immobilization of the organic molecule on a carbon substrate are selected as design constraints for the synthesis route, a decision backed by previous research outcomes.9 In order to develop a one-pot scalable protocol, the approach followed to meet the design constraints is: (1) stabilize an aqueous dispersion of graphene (G) with the aid of cellulose nanocrystals (CNC) and (2) use the dispersion as a reaction medium for the cationic polymerization of an electroactive polymer. The cation is expected to be attracted to the carbon nanostructure π–π conjugated structure, making the polymerization to take place near the latter and enhancing the polymer chance of encapsulation. Encapsulation serves a twofold function for more effective use of the conductive additive. First, it prevents nanostructure aggregation or agglomeration, and second, allows the immobilization of the same on the electroactive composite. By principle, nanostructure high surface-area will not be compromised, implying that the resulting electroactive material requires a lower mass loading to improve its performance. Due to its high redox potential (2.5–3.0 V vs. Li+/Li) and theoretical efficiency (496 mA h g−1), quinone is selected as a precursor monomer.
After the hydrothermal treatment, the reduction of graphene oxide is evaluated by tracking the evolution of the dispersion UV-Vis absorbance at 600 nm (refer to Fig. 1). Beer–Lambert law states that an increase in absorbance will result from an increase in analyte concentration or absorption coefficient. The light path length remains unmodified for all samples. The analyte concentration can only decrease upon hydrothermal treatment due to potential precipitation. Therefore, the absorbance increase is attributed to the restoration of the graphene π-conjugation network upon reduction. It is more critical to control temperature and time than compositions to obtain the most significant absorbance change (refer to Fig. 1). Consequently, the temperature and time are fixed at 150 °C and 1.0 hours for further hydrothermal treatments, respectively. Although it is clear that cellulose is not necessary to achieve graphene oxide reduction, it plays a vital role in improving long-term stability (refer to Fig. 1).
Fig. 1 Evolution of CNC + GO dispersions upon hydrothermal treatment as evidenced by visual inspection and UV-VIS spectroscopy. |
The structural evolution of graphene oxide and nanocrystalline cellulose, upon the hydrothermal treatment, is evaluated individually, noting no evident interaction in UV-Vis absorbance results at 150 °C for 1.0 hours (refer to Fig. 1). Tracking the evolution of oxygen-containing functional groups on GO reveals that after hydrothermal treatment at 150 °C for 1 hour (refer to Fig. 2), the critical difference is that the peak at 1400 cm−1 disappears, indicating the removal of OH groups. In subcritical water, acid-catalyzed dehydration is the primary reaction experienced by graphene oxide at low concentrations.16 Rising temperature will favor a reverse mechanism: acid-catalyzed hydration and an increase in water ionic product (KW, proton and hydroxide ion concentration). Nanocrystalline cellulose experiences partial desulfation and preservation of the cellulose I crystal structure after hydrothermal treatment (refer to Fig. 2). Desulfation of nanocrystalline cellulose, tracked by a decrease of 810 cm−1 peak intensity in Fig. 2, is believed to occur by an acid-catalyzed ester hydrolysis mechanism.17 Excessive desulfation may lead to agglomeration and precipitation of nanocrystalline cellulose along with reduced graphene. Therefore, cellulose's partial desulfation is critical to simultaneously achieving stable dispersions and restoring inter-fiber hydrogen bonding to promote graphene sheets' covering. This physical blocking mechanism of the individual sheets prevents the restacking of the same (refer to Fig. 3a and b). The above further suggests that at 150 °C and 1.0 hour, a reduction and desulfation trade-off is met during the simultaneous hydrothermal processing of both species (refer to Fig. 1).
In situ polymerization of 1,4-benzoquinone is performed in cellulose-nanocrystals/graphene, cellulose-nanocrystals, and graphene aqueous dispersions (refer to Fig. 4). After polymerization, a dark-brown precipitate is appreciated at the bottom of the flask. Upon precipitate filtering to remove low-weight oligomers, a sharp filtrate UV-Vis absorbance peak at 288 nm progressively reduces its intensity (refer to Fig. 4). The onset of the spectrum gradually redshifts, suggesting conjugation length increase due to polymerization (refer to Fig. 4). The absorbance peak corresponds to the π–π transition of electrons in hydroquinone. The precipitate molecular infrared ‘fingerprint’ reveals a co-polymer structure containing benzoquinone and hydroquinone rings (refer to Fig. 4 for 5CNC–0G case). Besides polymer chains' characteristic signature, there is no evidence of new covalent bonds suggesting that polymer-additive interaction only involves van der Waals interactions. Avoiding covalent bonding is particularly desirable to maintain the graphene conjugated structure. The polymerization mechanism for 1,4-benzoquinone (refer to Fig. 4) involves a cationic chain growth process.18,19 Each sample is labeled XCNC–YG, where X and Y represent the CNC/pBQ and G/pBQ mass fraction percentages.
The surface morphology for sample 0CNC–5G seems to be formed by a ladder-like arrangement of stacked sheets, while sample 5CNC–5G reveals a flatter pattern (refer to Fig. 3c and d). Under normal incidence, the electron diffraction pattern for sample 5CNC–5G (refer to Fig. 3f) is correlated with graphene.20 The intensity of peak [10–10] is stronger than that of [11–20], neglecting ABA… or ABC… graphene stacking and thus suggesting the presence of a monolayer. Although an AA⋯A stacking pattern would be possible; reports of such arrangement are scarce. In the absence of cellulose, a few-layer turbostratic stacking electron diffraction pattern is observed (refer to Fig. 3d). This particular agglomeration results from graphene stacking upon reduction from graphite oxide as remaining functional groups prohibit an ABA… pattern typical of mechanically exfoliated graphene.21 It should also be noted that the TEM image indicates that the sheet's surface is not uniform, and an amorphous layer is present on the top. Thus, cellulose nanocrystals stabilizing effect on graphene dispersions is retained during polymerization, enabling the polymer to coat monolayer graphene sheets. It should also be noted that the TEM images indicate that the sheet's surface is not uniform, and an amorphous layer is present on the top indicating coverage by the polymer (refer to Fig. 3g and h). For a capacitive behaviour, a relatively short diffusion path is beneficial for fast faradaic reactions to occur at electrode/electrolyte interface. Thus, porous nanostructures increase the contact area between electrolyte and active materials improving power performance and active material usage. This phenomenon has been documented for polymeric electroactive materials by adjusting surface morphology through the polymerization method, dopant content, oxidation level, type of surfactant, surfactant content, and coating over different nanostructures.22 A stable coating over the nanostructures can further provide a higher cycling life due to a more efficient strain accommodation upon charge/discharge.
Quinones reduce in aqueous acidic conditions in a single step involving two electrons and two protons, which is seen as a single reversible wave in the associated voltammogram23 (refer to Fig. 5). The addition of cellulose slows down redox transitions, with less-resolved peaks detected as nanofiber concentration increases. Graphene reduces peak separation substantially, implying an improvement in reaction kinetics. However, the peak separation for the 5CNC–5G case is even smaller, implying that redox kinetics greatly benefit from more effective graphene usage through the presence of cellulose nanocrystals as mono-to few-layer sheet stabilizers. Due to the significant peak separations in the corresponding voltammogram, the composite polymer displays an electrochemical fingerprint characteristic of battery-type materials with no apparent phase transition during the charging/discharging.
A two-electrode cell is assembled to assess the material's cyclability and tested at 1 A g−1 for 50 charge/discharge cycles to perform a comparison between electrodes with different G and CNC loading. As the electrolyte, 1 M HCl is utilized, and the counter electrode is a porous carbon rod. The evolution of the composites discharge profiles (refer to Fig. 5 and Table 1) indicates that the single inclusion of graphene provides minimal improvement regarding specific capacity: 28.3 ± 1.2 mA h g−1, and capacity retention 67.8 ± 5.2% at 0.1 A g−1. It should be noted that the introduction of cellulose nanocrystals provides a substantial improvement in electrochemical performance: for the 5CNC–5G sample, the specific capacity reaches 57.3 ± 1.5 mA h g−1, and the capacitance retention is 97.1 ± 3.6% at 0.1 A g−1 after 50 cycles of charge/discharge. A 5CNC–0G control sample displayed a higher specific capacity than 0CNC–5G: 49.0 ± 2.4 mA h g−1. The above suggests that CNC is more effective at the same mass loading (5 wt%). CNC fiber-like morphology might favor ion diffusion on the one hand, and on the other, G alone tends to restack, reducing its specific surface area.
Sample | Capacity (mA h g−1) | Capacity retention (%) | Coulombic efficiency (%) |
---|---|---|---|
0CNC–5G | 28.3 ± 1.2 | 67.8 ± 5.2 | 94.6 ± 4.0 |
5CNC–0G | 49.0 ± 2.4 | 59.3 ± 5.6 | 94.5 ± 4.5 |
5CNC–5G | 57.3 ± 1.5 | 97.1 ± 3.6 | 98.9 ± 2.1 |
Electrochemical impedance spectroscopy is especially practical for tracking the evolution of composite properties upon cycling (refer to Fig. 6a–c). An equivalent circuit model is assumed to make a quantitative comparison. The model used to fit the impedance data could be viewed as a modified version of the Randles circuit or a partially blocked electrode model (refer to Fig. 7e). The double-layer capacitive (CDL) current is separated from the faradaic current, implying that different ions are involved in each process. This double-layer capacitance represents “uncoated” carbon material in contact with the current collector through possible percolation paths. The Warburg element (W) is incorporated to model the diffusion of electroactive species. Finite diffusion is expected considering that it is mainly commanded by the redox transitions of the electrochemically active polymer film immobilized on the current collector and that no other active species are present in the electrolyte (no leakage current is assumed). Therefore, faradaic reactions result from inter-chain electron hopping or electric conduction (along carbon backbones) upon polymer oxidation/reduction, accompanied by diffusion and migration ions within the electrode.24 The RA element accounts for the film's adsorption of charged species (ions or solvent molecules). These species are not expected to exchange electrons; however, they change the surface charge density of the electrochemically active regions of the electrode. The CPEA element in the parallel path of RA is thus incorporated to represent the capacitive effect of adsorbed species not involved in the faradaic reaction. The adsorption resistance is in series with the charge transfer resistance (RCT), accounting for the rate of the polymer's kinetically controlled redox reactions. RC represents the resistance of electron-conducting paths within carbon polymer-coated regions of the composite, that is, in principle, non-dependent of redox state. Finally, the ESR element represents the equivalent series resistance (ESR), collecting the electrolyte resistance with the current collector's internal resistance.
The percentual change in the equivalent model parameters upon cycling is presented in the spider chart shown in Fig. 6d. The more pronounced changes associated with the polymer sample containing cellulose (5CNC–0G) are an increased ESR (142.8%) and Warburg coefficient (103.4%). The former is attributed to the loss of contact between the composite and current collector at some locations. The latter is due to increased resistance of the diffusion process due to the concomitant area reduction. This explanation suggests that the interchain interaction between cellulose fibers creates a film that cannot withstand the mechanical cycling due to the shrinking and swelling of the electrode upon charge and discharge.
In contrast, there is no significant change in ESR for the sample containing graphene (0CNC–5G) but a more notorious change in the Warburg coefficient (230.6%). The transition into a more compact and less porous film upon cycling is a plausible explanation for diffusion hindering. This compact layer could result from gradual graphene restacking promoted by the film's shrinking and swelling upon charge–discharge cycling. For both cases, the increased capacitances associated with adsorbed species and double layer indicate a wettability improvement. The improvement implies increasing the specific surface area composite-electrolyte, further reducing RC and RA + RCT resistances. The sample containing cellulose and graphene shows a stable ESR, RC, and RA + RCT resistance. There is an increase in capacitance associated with adsorbed species (CPAA) but a decrease in double-layer capacitance (CDL). Partial clogging of uncoated porous carbon could explain the decreased double-layer capacitance. Tomai et al. evidenced a degradation mechanism for quinone electrodes characterized by expansion of an inactive domain of hydroquinones.25 It could then be theorized that this inactive region expands toward un-coated carbon, diminishing the available surface for double layer formation. Overall, a synergic effect between cellulose nanocrystals and graphene gives rise to a mechanically stable composite upon continuous charge and discharge.
5CNC–5G sample is further electrochemically characterized to assess its charge storage performance in more detail. For subsequent studies, to increase the utilization rate of the electrode's Specific Surface Area (SSA), isopropyl alcohol was added to 1 M HCl to create a 10% v/v solution for the electrolyte. Isopropyl alcohol is chosen for its low surface tension and compatibility with carbon-based surfaces.26 The electrochemical evaluation is performed in a three-electrode set-up consisting of 5CNC–5G composite, porous carbon rod, and Saturated Calomel Electrode (SCE) as working, counter, and reference electrode, respectively. The electrode degradation is evaluated by galvanostatic charge and discharge up to 1000 cycles at 1 A g−1.
Cyclic voltammetry results reveal well-resolved redox peaks for the quinone two-electrons and two-protons transition up to a scan rate of 100 mV s−1 (refer to Fig. 7a). Redox kinetics of the electrode material is assessed by tracking the anodic and cathodic peak current dependency with scan rate. The ip–υ1/2 plot (refer to Fig. 7b) shows a linear relationship for the anodic and cathodic peaks. This behavior suggests a diffusion-limited charge transfer mechanism that could be approximately modeled with the Randles–Sevcik equation (at 25 °C):
Ip = (2.69 × 105)n3/2AD1/2Cv1/2 |
Ip is the peak current, n is the number of electrons involved in the charge transfer process, A (cm2) is the surface area, C (mol cm−3) is the concentration of the diffusing species, D (cm2 s−2) is the diffusion coefficient of the diffusing species, and v (V s−1) is the scan rate. Considering that ion diffusion within the polymer film is the limiting process, the diffusion coefficient of the system could be roughly estimated from the Randles–Sevcik relation. The diffusion coefficient for the oxidation step evolves from 1.70 × 10−8 cm s−2 to 2.07 × 10−8 cm s−2 after cycling. The order of magnitude is comparable to other high-rate organic-modified carbon electrodes for capacitive energy storage.27 A slight increase is noted upon cycling, suggesting that the electrode's degradation does not comprise a decrease of mass transport as the primary mechanism. The evolution of the diffusion coefficient correlates to the decrease in peak separation and peak anodic/cathodic current after cycling (refer to Fig. 7c). Upon continuous charge/discharge, diffusion paths within the electrode are consolidated, enhancing the rate of the mass transport phenomena. However, the reduction in peak current indicated that simultaneously, some degradation in the composite's electroactive characteristic (charge transfer kinetics) is expected.
The constant current discharge curves for the 5CNC–5G sample is shown in Fig. 7d at different specific currents. The curves resemble a linear discharge behavior for the whole range after neglecting the initial portion corresponding to the ohmic drop. The electrode specific capacitance is approximated from the slope of the linear region of the discharge plot. The largest measured capacitance is 1282.2 F g−1 at 0.25 A g−1 within a potential window of 700 mV. The electrode capacitance could be divided into a rate-independent and diffusion-limited components according to the relation:28
C = C0 + at1/2 |
C0 represents the rate-independent component, a is a proportionality constant, and t represents the time to discharge. For the data shown in Fig. 7e, the rate-independent component is 416.6 F g−1, which is often attributed to the effective double-layer contribution and represents the minimum attainable capacitance of the electrode for the electrochemical cell set-up.
Considering that capacitance might not be a reliable performance metric for the diffusion-limited storage process evidenced by CV,29 the capacity of the electrode is also reported (refer to Fig. 7e). The maximum measured capacity is 249.9 mA h g−1 at 0.25 A g−1 and drops to 101.1 mA h g−1 at 2.50 A g−1.
Over 70% of the capacity is retained after 1000 charge/discharge cycles at 1 A g−1. To better understand capacity fade, the EIS fingerprint is compared before and after cycling using the equivalent circuit described in Fig. 6e. No apparent semi-circle is observed at high frequencies (refer to Fig. 8a and b), resembling a capacitive material where no charge transfer is expected cause the energy is stored physically. However, the active material performs redox reactions, which could give rise to interfacial effects. The lack of such effect in the Nyquist plot at different potentials suggests a low interfacial impedance at the current-collector/electrode-material interface. At low frequencies, the Nyquist curve resembles that of a capacitive material. However, no constant phase is identified on the corresponding Bode plot for a truly capacitive constant-phase behavior. Semi-infinite diffusion is not always met because diffusing species are either trapped in the electrolyte-filled nanopores or the solid phase of the nanoparticles.30 The lowest impedances are measured at 400 mV near the standard redox potential for quinone in acidic solutions. Fitting the spectra to the equivalent circuit shown in Fig. 6e reveals that the most profound changes involve the increase in RA + RCT resistance (1545%) and decrease in Warburg coefficient (−100%) (refer to Fig. 8c). Therefore, even at 1000 cycles, the degradation seems to involve inactive domain expansion.
Fig. 8 Nyquist plots at different potentials for 5CNC–5G sample (a) and (b). Percentual change in the equivalent model parameters upon cycling (c). |
Overall, the high capacity retention for the 5CNC–5G case could be explained by the more efficient exploitation of graphene loading than 0CNC–5G. Quinone molecules in nanopores of activated carbon display >90% capacity retention after 1000 charge/discharge cycles.31 The effect could be explained by considering the increase in the π–π interaction between the graphene surface and aromatic quinone rings. Hence, cellulose nanocrystals, helping reduce graphene restacking chances during polymerization, allow more contact between sheets and polymer.
Footnote |
† Current affiliation: Energy, Materials and Environment (GEMA) Research Group, Universidad de La Sabana, Campus Universitario del Puente del Común, Km 7 Autopista Norte de Bogotá, Chía, Cundinamarca, Colombia, Email: E-mail: danny.illera@unisabana.edu.co. |
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