Lei Liuac,
Zhigang Shen*ab,
Min Yiab,
Xiaojing Zhanga and
Shulin Maa
aBeijing Key Laboratory for Powder Technology Research and Development, Beijing University of Aeronautics and Astronautics, Beijing 100191, China. E-mail: shenzhg@buaa.edu.cn
bMinistry of Education Key Laboratory of Fluid Mechanics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
cSchool of Material Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
First published on 31st July 2014
Based on a hydrodynamic mechanism, a novel, scalable and rapid production of relatively defect-free graphene nanosheets (GNSs) by a high shear mixer is proposed in this paper. The synergistic enhancement of shear forces and collision effects can result in an effective exfoliation of ultrathin GNSs. Moreover, the productivity and dimension distribution of GNSs can be easily controlled by adjusting hydrodynamic forces. Utilizing the small stator, the concentration of mono- and multi-layer GNSs prepared for 1 h in 40 vol% IPA–water mixtures can reach 0.27 mg ml−1. Almost all GNSs are less than 1 μm in average size and 2 nm in thickness. Furthermore, the mixtures of isopropanol (IPA) and water are low boiling, green, inexpensive, and have excellent solubility for GNSs. The optimal volume fraction of IPA–water mixtures for preparing GNSs is co-determined by the Hansen solubility parameter distance (Ra), surface tension and viscosity. More importantly, graphite particles have strong physical interactions with hydrodynamic forces, but GNSs structure also can remain relatively defect-free. Consequently, this scalable, rapid and high-yield method can be satisfactorily applied in the production of GNSs and other two-dimensional (2D) materials.
Large-scale GNSs are regarded as a desirable material for preparing transparent conductive films, biological sensing, nanoelectronic devices and composites materials.12–15 However, small GNSs (less than 1 μm) also possess great potential for biomedicine, sensors, optoelectronic devices and transparent conductive films.16–19 In particular, small GNSs can be printed onto flexible plastic surfaces to prepare novel conductive films by an inkjet technique, which is one of the most promising techniques for industrial application.19–21 However, small GNSs are difficult to produce and separate, which limits their wide application. At present, the main preparation methods are chemical cutting, mechanically grinding and density gradient ultracentrifugation rate.22–24 However, these methods have some drawbacks, such as structure destruction, properties reduction, low efficiency or high cost. It is should be noted that the massive defects of band structure can obviously reduce the electrical conductivity of GNSs. In order to overcome these limitations and obtain high-quality graphene, we developed a novel, rapid and effective route to exfoliate graphite particles into small and high-quality GNSs in this paper, and a comparison is given in Table. S1 (see ESI†).
The high shear mixer, also called the rotor stator mixer, has been widely used in pulverization and emulsification.25,26 The typical characteristics of the high shear mixer are a narrow gap between the rotor and stator (100–3000 μm), high rotor speed (10–50 m s−1) and high shear rate (20000–100
000 s−1).27 The working mechanisms of the high shear mixer are based on hydrodynamics and can be divided into high shear force, collision effects and jet cavitation.28 Rapid and violent fluid movement produces strong physical interaction with graphite particles, which is sufficient to overcome van der Waals forces between layers. Recently, the Coleman group reported the production of two-dimensional nano-materials by a high shear method in organic solvent, surfactant and polymer solutions.29 They considered the turbulence to be unnecessary for exfoliation and that the high shear is the chief force. A simple exfoliation model, i.e. a shear-induced interlayer sliding in a solvent, was used to predict a minimum shear rate to produce graphene. However, the set of hydrodynamic forces of high shear mixers is complex: it includes shear force, collision effects and cavitation, and is difficult to apply a simplified model for accurate simulation. Hence, the effects of shear force and collision on exfoliating of GNSs were further investigated in this paper.
It is accepted that N-methyl-2-pyrrolidone (NMP) and dimethylformamide (DMF) are excellent solvents for preparing GNSs, but they are expensive, have high boiling points and are toxic. The surfactant solutions easily lead to residue in products. In addition, most inexpensive, green and low-boiling solvents have unsatisfactory solubility for GNSs. Hansen solubility parameters (HSP) has been used for roughly predicting the solubility of materials in solvents.30,31 The mixtures of several poor solvents have be shown to be effective solutions that have an extremely high dissolving capacity through achieving an adaptation between the HSP parameters of mixtures and material.32 Particularly, IPA is a high viscosity, low boiling and green solvent that is singularly appropriate to be utilized for investigation of the effects of solution parameters on the production of GNSs by hydrodynamic forces.
In the present article, we demonstrate a scalable and high-efficiency hydrodynamics method to prepare GNSs in IPA–water mixtures. Using violent and multiple hydrodynamic forces, the graphite particles can be rapidly and effectively exfoliated into small GNSs. Moreover, IPA–water mixtures show excellent dissolution behaviour for GNSs and are used to analyse the effects of Ra, surface tension and the viscosity on the preparation of GNSs. Interestingly, the viscosity is considered a vital factor in the hydrodynamic exfoliation of GNSs. Above all, GNSs prepared with small stator for 1 h are less than 1 μm in average size and 2 nm in thickness, exhibiting a broad prospect for industrial application. In summary, this hydrodynamics-assisted method, involving various exfoliation mechanisms, realizes a high yield and efficiency production of GNSs and has great potential for use in the exfoliation of other layered materials.
Samples of GNSs for SEM analysis were prepared by vacuum filtering the dispersions onto porous membranes and drying them for 24 h at 60 °C. AFM and TEM specimens were prepared by dropping a few drops of diluted suspension onto the mica and the perforated carbon mesh grid or ultrathin carbon support film, respectively. FESEM and SEM images were obtained using Apollo 300 and CS3400 (CamScan, England), respectively. TEM images were obtained with a JEM-2100 (JEOL, Japan). The thickness and size of GNSs were obtained using Bruker MultiMode 8, which was used in ScanAsyst Air mode. Raman spectroscopy was carried out on an Rm2000 instrument (Renishaw, England) using 514 nm laser excitation. The optical absorbance of the final suspension was determined using TU-1901(Purkinje, China) at a wavelength of 660 nm, and the GNS concentration was obtained according to the Lambert–Beer law.33 The surface tension was determined using SFT-C1 surface tensiometer (HARKE, China). The viscosity of solvents was obtained by an Ubbelohde viscometer at 25 ± 0.1 °C.
By wet grinding, GNSs that are less than 1.5 μm in lateral size can be peeled off by shear force transferred from the milling beads.11 Moreover, graphene nanodots also can be detached from particles using pure shear force, and they have an average size of 9–29 nm for different times.36 It is important to note that small sheets are more easily peeled from the particle surface than larger ones because of the smaller collective interaction force between layers. Therefore, ultrathin sheets may be easily torn on the edge by shear force and may tend to become relatively small-scaled (Fig. 1c). Fig. 1a shows the detail of the high shear generator which consists of the stator and the rotor, and additional photographs of different stators are shown in Fig. S1 (see ESI†). The blades of the rotor run at high speeds and expel the solvents into the surrounding space, resulting in high speed fluid flows in the narrow gap between the stator and the rotor. High shear force can easily be induced by the large velocity gradient of the fluid. Above all, high viscous shear force induced by fluid flow can directly act on the weak interface of layers of particles, resulting in high efficiency.
In addition, when high speed fluid jets out from drain holes of the stator, jet cavitation can be induced by high pressure difference due to abrupt velocity change and geometrical change.37 Cavitation has been proven to be an effective way to prepare GNSs on account of shock waves and micro jets.38 Nevertheless, the drain holes are too large to generate enough high pressure difference for cavities growth and bubble implosion, so the jet cavitation may play a minor role in the GNSs production.39 Moreover, as a weak force for exfoliating graphite particles, collision effects are frequently overlooked, but it may be the principal force in the high shear mixer. High energy dissipation had been proven to occur around the leading edges of drain holes;40 thus, the graphite particles may be subjected to a tremendous collision when the dispersion periodically and rapidly impinged on the hole edges.40 The frequent and random collisions between graphite particles also can occur by the extremely large inertial force in the turbulence region. The serious pileups of graphite particles can lead to graphite particles self-exfoliation down to mono- and multi-layer GNSs (Fig. 1c). Interestingly, curl, loose and thin layers replaced the orderly and thick ones at the edge of graphite particles, where strong and sudden shocks caused serious deformation (Fig. S2, see ESI†). This destruction can conduce synergistically reinforcement of the exfoliating effects of shear forces. These frequent and violent collisions greatly accelerate the exfoliation and, most importantly, the size of GNSs can sharply decrease.
IPA–water mixtures with different volume fractions have distinctive surface tensions, viscosities and Ra values. It has been proven that surface tension and Ra are closely related to the solubility of GNSs in different solvents.28 For minimal energy cost of exfoliation, the optimal surface energy of solvents needs to match that of GNSs, and the surface tension of excellent solvents mainly concentrate in the region of 40–50 mJ m−2.33 The surface tension of 10 vol% IPA–water mixtures (about 42.5 mJ m−2) is located in this optimum range (grey area in Fig. 2a), but actually 40 vol% IPA–water solution can achieve the highest concentration. HSP theory is also an important tool to analyze the solubility of materials in solvents.32,41 Ra can be calculated from the dispersive, polar, and hydrogen-bonding solubility parameters (see ESI†). The dissolving capacity normally improves with the decrease of Ra values. Compared with the optimal volume fraction (10 vol%) of IPA predicted by the surface energy, the minimum point (65 vol%) of Ra curve is close to 40 vol% at which the highest concentration can be achieved (Fig. 2).
To further analyze the reason that causes the change of the optimal proportion, we compared the stability of GNSs dispersions with the same GNSs concentration (about 0.195 mg ml−1) but different volume fractions of IPA. To avoid the effect of different sizes and thicknesses of GNSs, all dispersions were diluted from a dispersion containing 80 vol% IPA after 500 rpm centrifugation. The C/CT values can directly represent the stability of these dispersions. After standing for one month at room temperature, 40 vol%, 50 vol% and 60 vol% dispersions all showed satisfactory stability. Moreover, the stability of GNSs dispersions can reflect the solubility of GNSs in these solutions. The results of the stability are approximating consistent with the theoretical result calculated by HSP theory. However, the mixtures containing a low volume fraction of IPA showed better dissolving capacity than that predicted by Hansen theory because of their relatively high surface energy. Above all, the stability curve is similar to the CG curve, indicating the exfoliating effects of GNSs dispersions are obviously influenced by dissolving in solvents.
Viscosity of solvents is another important parameter in hydrodynamics that can influence the motion of the liquid layer. By decreasing the viscosity of solvents, the shear force may be reduced as a result of the decrease of the velocity gradient. DMF is a perfect solvent for preparing graphene by sonication and has a low Ra value (about 6.76) and a certain surface tension (34.4 mN m−1 at 25 °C), but it has lower viscosity (0.802 mPa s at 25 °C) than IPA (1.96 mPa s at 25 °C) and most IPA–water mixtures (Fig. 2).42 The concentration of the GNSs dispersion prepared in DMF is about 0.06 mg ml−1, which is far lower than that of prepared in 40 vol% IPA–water mixture (about 0.27 mg ml−1). Similarly, using 0.1 mg ml−1 surfactant solution (sodium dodecyl benzene sulfonate, SDBS), which has a viscosity close to that of pure water, the GNS dispersion obtained under the same condition is less than 0.01 mg ml−1. Hence, relatively high viscosity is beneficial for preparing GNSs by the high shear mixer. Consequently, the best experimental volume fraction is about 40 vol%, which is located among the optimal values of surface tension, the viscosity and Ra, illustrating that various factors can contributed to GNS production. At the optimal mixing ratio, the graphene concentration is obviously higher than that in single water and IPA, which indicates that the mixing strategy can change poor solvents into effective ones.
As shown in Fig. 2b, GNSs concentration increases with prolonging the treating time. Moreover, the concentration curve can be approximately divided into two regions with different growth rates. In the initial phase, the concentration rapidly increases because of the delamination and cleavage of large pristine particles. With the continual decrease of the lateral size and thickness of graphite particles, the growth of GNS concentration slows down. Furthermore, the effects of hydrodynamic force can be controlled by changing the gap between the rotor and the stator. Note that the concentration of GNS dispersion prepared with small stator is about 2.7 times as high as that of the large stator dispersion (Fig. 2b). High initial concentration of graphite particles also has an advantage for preparing GNSs, in that collision effects can be enhanced with increasing number of particles.
Fig. 3a and b shows a comparison of pristine graphite and the sediment. Most pristine graphite particles are ellipsoid in shape and characterized as a typical layered structure. In contrast, the sediment reverted to relatively small and thin flakes after treatment, indicating that adequate exfoliation of graphite particles occurred under violent hydrodynamic conditions. Obviously, a large number of thin GNSs can be peeled from the surfaces of graphite particles in this process. Fig. 3c and d show GNSs with different sizes are thin, curly and transparent, which reveals that the graphite particles were successful exfoliated. Importantly, GNSs prepared with a small stator are smaller than those of large stator sample.
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Fig. 3 SEM images of (a) pristine graphite particles, (b) the sediment. FESEM image of GNSs prepared with (c) the large and (d) the small stators. |
Atomic force microscopy (AFM) is one of the most direct and precise methods for observing and analysing the micro-topography of 2D nanosheets. Fig. 4a and b shows the significant difference between small and larger stator samples. The mean size of GNSs treated with the small stator is much smaller than that prepared with the large stator. The height scale of GNSs is about 1 nm (Fig. 4b), which can be generally considered as monolayered or bi-layered graphene due to the negative influences of the residual solvent and the roughness of the mica surface.43 TEM can further characterize the flakes in the dispersions. The restacking of some individual GNSs with the lateral size of 50–500 nm was observed (Fig. 4c). Similarly, Fig. 4d displays large GNSs adhered to each other. These results can further confirm the obvious change in GNS size by adjusting the size of the gap.
By analysis of AFM images of GNSs, we can investigate the effects of the gap size on the thickness and size of GNSs. Fig. 4e shows the histograms of thickness and average size (average value of the width and the length) by analysing approximately 1000 flakes. Additional AFM images are available in Fig. S3 (see ESI†). The mean thickness and average size of GNSs prepared with the large stator are 1.3 nm and 0.9 μm, respectively. Using the small stator, the mean thickness and average size decrease to 0.9 nm and 0.35 μm, respectively. Above all, more than 94% of sheets prepared with the small stator were smaller than 450 nm, but only 29% with the large stator. Moreover, 62% of GNSs are thinner than 1 nm, and nearly all sheets are below 2.5 nm when the small stator is used. It is apparent that GNSs tend to be thin and small under violent hydrodynamic forces decreasing the gap size.
Representative Raman spectra of GNSs and pristine graphite are shown in Fig. 5a. Compared with graphite particles, significant changes of the G band (∼1570 cm−1), the 2D band (∼2690 cm−1) and the D band (∼1350 cm−1) can be observed in GNSs spectrums. The emergence of the D band is mainly induced by structural defects, the diffusion of structural disorder and the edge disturbance.44,45 In particular, the edge disturbance might be the largest contributor to the presence of D band because GNSs (less than 2 μm in lateral dimensions) can be covered by the laser point (1–2 μm in diameter). Moreover, the intensity proportion of D band to G band (ID/IG) can simply represent the damage to the structure. The intensity ratios ID/IG of GNSs prepared with large and small stators are about 0.14 and 0.18, which are much lower than that of GO and GNSs prepared by sonication.46,47 The chemical interaction induced by shear force and collision is obviously weaker than that induced by sonication effects, which generate temperatures of about 4000 K and pressures in excess of 1000 atmospheres in a small region of space.48 The G bands did not obviously present pronounced broadening, further indicating that the structural disorder defects in basal plane was negligible. Less destruction is beneficial for maintaining the excellent properties of GNSs. To further investigate the defects of GNSs, X-ray photoelectron spectroscopy (XPS) characterization was carried out. In Fig. 5b, the C1s XPS spectra of the delaminated GNSs that were prepared by high shear mixers with the small stator are presented. The C1s spectrum of GNSs clearly shows the binding energy feature at 284.8 eV, corresponding to the graphitic carbon (C–C). However, a number of smaller features are also observed at 285.7 eV and 287.2 eV that are typically assigned to C–O and CO, which are similar to that prepared by media mill.11 In contrast, with reduced graphene oxide, these features are lower.3 The residual solvent also might result in the observable oxidization of GNSs. Hence, this indicates that there are few oxygenous defects in GNSs prepared by the high shear mixer.
We can measure the stability of GNSs dispersions by optical monitoring of the dispersion concentration, which was performed after standing one day to remove large and thick particles. Typical sedimentation curves of GNSs dispersions are shown in Fig. 5c. Compared with the large stator sample, a slow and relatively steady sedimentation was observed in the case of the small stator, and this tended to be stable after about 25 days. The small and thin GNSs had higher stability owing to high edge effects.49 At the same concentration, a comparison of the sedimentation of two different dispersions is shown in Fig. 5c. Obvious change of transparency occurred in the large stator sample, indicating that the small GNSs are propitious for preservation and further application.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/c4ra05635c |
This journal is © The Royal Society of Chemistry 2014 |