Research Article | Open Access
H. M. Albetran, "Investigation of the Morphological, Structural, and Vibrational Behaviour of Graphite Nanoplatelets", Journal of Nanomaterials, vol. 2021, Article ID 5546509, 8 pages, 2021. https://doi.org/10.1155/2021/5546509
Investigation of the Morphological, Structural, and Vibrational Behaviour of Graphite Nanoplatelets
This work investigated the morphological, structural, and vibrational properties of graphite nanoplatelets (GNPs) that were produced by ultrasonication. Scanning and transmission electron microscopy, X-ray diffractometry, and Raman spectroscopy identified 120-nm-thick GNP crystallites and 50–2000 μm2 plates with different areas and shapes. Extensive exfoliation was observed by transmission electron microscopy with abundant multi and some monolayer GNPs. X-ray diffractometry confirmed 43 GNP layers along the -axis. Rietveld X-ray analysis indicated a GNP crystal lattice with stacks of parallel two-dimensional graphene layers and tightly bound hybridized carbon atoms stacked in a translational …ABAB… sequence in hexagonal rings. Raman scattering indicated well-defined GNPs with few defects and no oxide content. All analytical results reveal that GNPs could have significant potential application in electrically conductive reinforcement devices.
Carbon can catenate with elemental carbon or other elements to form organic structures as the basis of life. Zero-, one-, two-, and three-dimensional structures, which are termed fullerenes, carbon nanotubes, graphene, and graphite, respectively, are basic elemental carbon-based structures [1, 2].
Graphite is one of the oldest known forms of carbon and is termed black lead or plumbago. In Greek, “grapho” means “to write” and graphite is used extensively in pencils and lubricants. Graphite occurs in metamorphic rocks (sedimentary carbon-compound reduction during metamorphism), in igneous rocks, and in meteorites . Graphite is used in electronic products, such as batteries, electrodes, and solar panels, because of its high conductivity, and low cost. Its high thermal conductivity and low mass make it an ideal thermal conductive polymer composite in manufacturing [3–7].
Despite graphite appearing to be a well-defined homogeneous product with a known chemical and physical structure, different properties are displayed by different graphite types (amorphous, flake, vein, and synthetic). The two forms or phases of graphite include rhombohedral and hexagonal crystal structures with similar physical properties (, iron-black to steel-grey colour, and deep-blue in transmitted light). The hexagonal and rhombohedral graphite phases have a P63/mcc and R3m space group, four and six atoms per unit cell (Z), and nm and nm and nm and nm lattice parameters at room temperature, respectively [8, 9]. The single-crystal lattice stacking periodicity structure of the hexagonal (2H) and rhombohedral (3R) graphite phases is ABAB and ABCABC, respectively. The graphite particle size is readily reduced by mechanical grinding because the interlayer bonding force is weaker than that of the intralayers [10–16]. Graphene, which is the term for individual graphite layers, can be restacked to prepare graphite . In the stacking, carbon atoms are layered in 0.142-nm-spaced honeycomb lattices, and planes are separated by 0.335 nm . Their similar structures prevent characterization techniques from being used to distinguish between graphite and graphene .
Graphite nanomaterials are of interest because of their safe, affordable, stable, nontoxic, noncarcinogenic, bactericidal, photocatalytic, industrial, biomedical, and wastewater treatment applications [7, 19]. Carbon nanostructures can be produced from graphite, such as three-dimensional carbon nanotubes and vapor-grown carbon nanofibers from the coiling of covalent graphite building , diamond-like sp3, and fullerene-like bonding from ball milling for up to 1000 h in vacuum . Structural changes are of scientific importance with wide potential for application [11–16], and graphite nanoplatelet graphitic nanofillers (GNPs, also termed graphite nanosheets, graphite nanoflakes, or exfoliated or expanded graphite) from randomly stacked two-dimensional graphene sheets . The incorporation of graphene/graphite flakes into polymer composites increases their thermal conductivity [21–23].
Many methods exist to prepare GNPs with several layers, quantities, and qualities. These methods include mechanical cleavage, thermal exfoliation of acid-intercalated graphite, high-pressure homogenization, micromechanical exfoliation of graphite, chemical vapor deposition, chemical reduction of graphene oxide, electrochemical exfoliation, vacuum filtration, liquid-phase exfoliation, and ultrasonication [24–29]. Among the fabrication methods, ultrasonication-assisted liquid-phase exfoliation is simple, yields GNPs large quantities, and is a cost-effective technique that is applicable at industrial levels to fabricate GNPs.
In this study, scanning electron microscopy (SEM) and transmission electron microscopy (TEM), X-ray diffractometry (XRD, with Rietveld refinement), and Raman spectroscopy were used to determine the physicochemical properties of GNPs that were synthesized using ultrasonic exfoliation of flake graphite in liquid.
2. Experimental Methodology
2.1. Material Synthesis
Graphite flakes (molecular weight 12.01 g/mol, product number 332461, Sigma-Aldrich) were used to prepare the GNPs by immersion in 70% isopropyl alcohol and 30% water with ultrasonication at 40 kHz in a bath for 5 h at room temperature, which resulted in shear forces and cavitation by micron-sized bubble growth and collapse. GNPs were formed by rinsing and calcining the product dispersion at 250°C. Figure 1 shows the ultrasonication steps for GNPs.
2.2. Materials Characterization
The GNP morphology was studied by scanning electron microscopy (SEM) using IRMC-INSPECT S50 microscopy. The GNPs were not coated to prevent charging because they are a good electrical conductor.
Ground samples of GNPs (~5 mg) were ultrasonicated in an ethanol suspension for 10 min. The transmission electron microscope (TEM) imaging (FEI MorgagniTM 268, tungsten tip electron source) was carried out on copper grids with two drops of suspension.
The GNP purity and structure were confirmed by XRD using the “Rigaku Benchtop Miniflex X-ray” diffractometer (). The spectra were in the 2θ region of 20–70° with a scanning speed of 0.02°/min. Rietveld pattern analysis using FullProf software (version 7.20) was used with a goodness-of-fit from the weighted pattern R-factor (), derived Bragg R-factors (), and expected R-factor (). A patterned background, optimized sample displacement, preferred orientation, peak shape, 2θ0, scale factor, and lattice parameters were used to calculate the GNP crystalline phase abundances. Rietveld refinements were undertaken by using the Crystallography Open Database and graphite crystal structures (COD 9000046).
2.2.4. Raman Spectroscopy
Raman spectroscopy provides structural and chemical knowledge of different materials based on information about the vibrational states of a compound. Photons moved by Raman have a Stokes or anti-Stokes diffusion. Because photons are bosons, the Stokes () and anti-Stokes intensities () are linked to () or , respectively, such as is the Bose Einstein population factor. The is more intense than the , which is usually evaluated and recorded in traditional Raman spectroscopy .
Because of the intensity of the materials during Raman scattering, some expressions for data processing are necessary as provided below. Stokes phenomenon represents phonon emissions, whereas the anti-Stokes phenomenon represents phonon absorption. The energy change during these processes is given by where is the angular frequency of the scattered phonon, is the reduced Planck constant, is the angular frequency of the scattered photon, and is the angular frequency of the incident photon. The intensities of the first-order scattering by a phonon/boson are given by
The phonon parameter at thermal equilibrium is given by where is the absolute temperature and is the Boltzmann constant. Raman spectroscopy was undertaken on a Lab-RAM 1B dispersive Raman spectrometer. The GNPs were excited using a 633 nm line. A laser light was focused through a 50x objective and a 600 lines/mm diffraction grating, Peltier-cooled charge-coupled device detector at –40°C, with a 60 s collection time and 10 s for silicon. The silicon peak correction was undertaken by shifting the Raman spectra by a 520.7 wavenumber.
3. Results and Discussion
3.1. GNP Microstructures
SEM and TEM were used to determine the GNP particle size, morphology, and microstructure. Typical secondary electron images of sonicated graphite flakes are presented in Figures 2(a) and 2(b). Fragmented flake graphite yielded foliated parallelogram graphite plates. The area and thickness of one-hundred GNPs as determined by the ImageJ software were 50–2000 μm2 and ~120 nm, respectively. These values were comparable with the nanosheets that Chen et al. obtained by ultrasonication of graphite powder .
The TEM micrographs in Figures 3(a) and 3(b) show graphite in nanoplatelets at a low resolution and granularity in the higher-resolution images, respectively. Nanoplatelets with varying shapes and areas formed because ultrasonication prior to TEM broke down graphite nanoplatelets into smaller pieces. The weak interlayer Van Der Waals attraction allowed the nanoplatelets to slide past each other perpendicular to the -axis, but the sufficiently strong attraction prevented the complete formation of individual graphene layers . The TEM diffraction contrast from thickness variations indicates that graphite nanoplatelets of a few layers, including bi- and tri-layers, formed, but some monolayer graphene was also visible. Polycrystalline graphite with randomly oriented crystallites and an interplanar spacing of ~0.40 nm is shown in Figure 3(c). Single crystals in natural flake graphite were oriented in a preferred direction, whereas synthetic graphite was oriented more randomly .
Figure 4 shows the diffraction pattern of crystalline GNP structures. The hexagonal crystal structure of GNP with no impurity or second-phase peaks is shown by characteristic diffraction peaks that were indexed as (002), (020), (111), and (004) planes [11, 33].
The reflection profile broadening of the XRD pattern is used to calculate the crystallite size, and the corresponding peak position is used to determine the interlayer spacing. The average-crystallite size () of GNP was calculated from the Scherrer equation, and the d002 (d-spacing for 2H (002) from 2θ peak at 26. 619°) was calculated from Bragg’s Law [33, 34] where , , , and are the Bragg diffraction angle, full width at half maximum (FWHM), wavelength of the Cu-K radiation (0.15419 nm), and shape factor (0.91), respectively.
The computed crystallite size of 14.42 nm was compared well with the graphite sample sizes by Gen et al. . The physical origins of the broad- (002) like reflections were interpreted from the uniform interlayer spacing (d002) and are related directly to layer misalignment with average interlayer spacings, such as crystalline graphite (0.335 nm). These results agree with the TEM micrographs. Pure crystalline graphite has an identical basal spacing [33, 35].
Seehra et al. described the number of layers along the -axis as 
They calculated the interlayer spacing (d002) and apparent crystallite size () in the -direction that provide the numbers of GNP layers. For this study, forty-three GNP layers exist along the -axis.
3.3. XRD Rietveld Analysis
Rietveld pattern-fitting of the XRD pattern was analysed from the FullProf software, and the goodness-of-fit was estimated from the derived Bragg R-factors (), expected R-factor (), and weighted pattern R-factor () [37–43]. The preferred orientation, peak shape parameters, lattice parameters, scale factor, 2θ0, sample displacement, and pattern background were optimized in the Rietveld refinement to calculate the GNP lattice parameters. The residual GNP XRD Rietveld plots are shown in Figure 5 where the refinements were obtained from graphite crystal structures (COD 9000046). The solid black line and cycles indicate the calculated and measured pattern, respectively, with the difference between the two indicated by a blue residual plot. Green bars show the (002), (020), and (004) peak positions. In this work, the residual Rietveld refinements were 5.62 and ~11.9 for the and , respectively. The goodness-of-fit () of 4.46 shows an acceptable refinement quality [37–43].
A comparison of the density, cell volume, and cell parameters of the GNPs with literature data is provided in Table 1. The calculated density of 2.28 g/cm3, cell volume of 0.06996 nm3, and lattice parameters nm and nm for the Rietveld hexagonal GNPs are smaller than the literature values [8, 11, 44–48].
The existence of parallel 2D graphene layers with a translational …ABAB… sequence of tightly bonded sp2 hybridized carbon atoms in hexagonal rings is shown in Figure 6 from the Rietveld crystal lattice of GNP. The soft lubricating nature of the GNPs is provided by the covalently bonded carbon atoms in layers that are bound by weak Van Der Waals forces, which allows for graphene layer sliding. The distance between adjacent graphene layers in graphite (0.336 nm) is half the hexagonal graphite crystallographic spacing (0.673 nm), which is like the calculated (002) peak d-spacing at 2θ of 26.619°.
3.4. Raman Spectroscopy
A GNP Raman spectrum in the range of 200-3200 cm-1 is shown in Figure 7. The spectrum was plotted at a reduced intensity, and the measured intensity was divided by the Bose Einstein population factor .
The G and two-dimensional (2D) band shape, position, and intensity were used to estimate the number of GNP layers. The 2D band changes position, width, and shape as the number of layers increases, but the peak position of the G band shifts downwards as the layer number increases. Characteristic GNP peaks exist in the D, 2D, and G bands at 1,331, 2,686, and 1,577 cm-1, respectively. A high sample quality is indicated by the weak and strong D and G peaks (for sp2 carbon), respectively, and the broad multiband 2D peak indicates multilayer graphite features . A primary graphene band characteristic is illustrated by the sp2 carbon atom vibration in the G band. The D band provided a disordered GNP vibrational peak and was used to characterize GNP structural defects . Well-defined GNPs with few defects are present. Raman-active defect concentrations in parts per million (ppm) were calculated from the ratio of the defect density () and number of carbon atoms () [27, 30]:
where and are the D- and G-band integration area, respectively, and the concentration defects and integral area ratio are ~0.18 and ~11 ppm, respectively. The measured ratio and GNP defect concentrations compared well with the literature values for samples of graphite and graphene . These results confirm the XRD results (Figure 4) by the existence of parallel 2D graphene layers with a translational …ABAB… sequence of tightly bonded sp2 hybridized carbon atoms in hexagonal rings. However, the investigation of this correlation between structural and vibrational proprieties proves that their nanocrystallite size, crystal system, and vibrational modes make GNPs good candidates for many practical applications in electrically conductive reinforcement devices.
Expanded-flake graphite was ultrasonicated in isopropyl alcohol to prepare GNPs. SEM, TEM XRD, and Raman spectroscopy were used to study the physicochemical properties of the GNPs. SEM and TEM indicated the formation of multi- and some monolayer parallelogram GNPs. The TEM diffraction contrast from thickness variations indicates that GNPs of a few layers, including bi- and tri-layers, formed, but some monolayer graphene was also visible. XRD analysis indicated the formation of 43 layers along the -axis. The GNP crystal structure as determined by XRD and Rietveld refinement indicated nanometre-thick worm-like exfoliated graphite nanoplatelets. The 120-nm-thick graphite units from flaky graphite exfoliation provide a promising, low-cost, lightweight alternative to carbon- and metal-based electrically conductive reinforcement applications.
Data is available on request.
Conflicts of Interest
The author declares that there is no conflict of interest.
The author acknowledges financial support from the Imam Abdulrahman Bin Faisal University through the project application No. 2020-086-CED. Prof. It-Meng Low at the Department of Physics and Astronomy, Curtin University, Australia, is thanked for the manuscript review and feedback. The author would like to thank Prof. Abdulhadi Baykal, and Dr. Sultan Akhtar at Institute for Research and Medical (IRMC), Imam Abdulrahman Bin Faisal University (IAU), Dammam, Saudi Arabia, for assistance with materials characterization works.
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